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Ding D, Chang L, Men C, Yang B, Pylypenko D, Zhang T, Yu D, Wang F. Does amide proton transfer-weighted MRI have diagnostic and differential value in ovarian cystic and predominantly cystic lesion? Abdom Radiol (NY) 2024:10.1007/s00261-024-04768-w. [PMID: 39694947 DOI: 10.1007/s00261-024-04768-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 12/10/2024] [Accepted: 12/13/2024] [Indexed: 12/20/2024]
Abstract
OBJECTIVES This study aims to evaluate the diagnostic value of amide proton transfer-weighted (APTw) imaging in distinguishing cystic or predominantly cystic ovarian lesions. MATERIALS AND METHODS 49 patients underwent APTw imaging at 3T-MR before surgery, with 20 volunteers serving as the control group. Participants were divided into the following groups: solid components of normal ovaries (Group A, n = 29), solid components of malignant lesions (Group B, n = 7), cystic fluid of follicles (Group C, n = 31), cystic fluid of benign lesions (Group D, n = 46), functional cysts (Group d1, n = 8), endometriomas (Group d2, n = 28), cystadenomas (Group d3, n = 10), and cystic fluid of malignant lesions (Group E, n = 12). Independent t-tests or Mann-Whitney U tests and one-way ANOVA were used to compare group differences. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic efficacy in distinguishing between different lesions. RESULTS For solid components, significant differences in MTRasym values were observed between Groups A and B (P < 0.001). For cystic components, significant differences were found between Groups C and D, C and E, d1 and d2, d2 and d3, d1 and d3, C and d2, C and d3, E and d1, and E and d2 (all P < 0.01). ROC analysis of these results showed high AUC values (ranging from 0.813 to 1.0), all P < 0.05. CONCLUSIONS APTw can reveal differences in MTRasym values between normal and diseased ovarian tissues, demonstrating high clinical value in differentiating functional cysts, endometriomas, and cystadenomas, as well as distinguishing benign lesions (functional cysts or endometriomas) from malignant tumors.
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Affiliation(s)
- Dawei Ding
- Qilu Hospital of Shandong University, Jinan, China
- Qingzhou People's Hospital, Qingzhou, China
| | - Lingyu Chang
- Qilu Hospital of Shandong University, Jinan, China
| | | | - Bo Yang
- Qilu Hospital of Shandong University, Jinan, China
- Qingzhou People's Hospital, Qingzhou, China
| | | | - Tao Zhang
- Weifang People's Hospital, Weifang, China
| | - Dexin Yu
- Qilu Hospital of Shandong University, Jinan, China
| | - Fang Wang
- Qilu Hospital of Shandong University, Jinan, China.
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Zheng Y, Wang H, Weng T, Li Q, Guo L. Application of convolutional neural network for differentiating ovarian thecoma-fibroma and solid ovarian cancer based on MRI. Acta Radiol 2024; 65:860-868. [PMID: 38751048 DOI: 10.1177/02841851241252951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
BACKGROUND Ovarian thecoma-fibroma and solid ovarian cancer have similar clinical and imaging features, and it is difficult for radiologists to differentiate them. Since the treatment and prognosis of them are different, accurate characterization is crucial. PURPOSE To non-invasively differentiate ovarian thecoma-fibroma and solid ovarian cancer by convolutional neural network based on magnetic resonance imaging (MRI), and to provide the interpretability of the model. MATERIAL AND METHODS A total of 156 tumors, including 86 ovarian thecoma-fibroma and 70 solid ovarian cancer, were split into the training set, the validation set, and the test set according to the ratio of 8:1:1 by stratified random sampling. In this study, we used four different networks, two different weight modes, two different optimizers, and four different sizes of regions of interest (ROI) to test the model performance. This process was repeated 10 times to calculate the average performance of the test set. The gradient weighted class activation mapping (Grad-CAM) was used to explain how the model makes classification decisions by visual location map. RESULTS ResNet18, which had pre-trained weight, using Adam and one multiple ROI circumscribed rectangle, achieved best performance. The average accuracy, precision, recall, and AUC were 0.852, 0.828, 0.848, and 0.919 (P < 0.01), respectively. Grad-CAM showed areas associated with classification appeared on the edge or interior of ovarian thecoma-fibroma and the interior of solid ovarian cancer. CONCLUSION This study shows that convolution neural network based on MRI can be helpful for radiologists in differentiating ovarian thecoma-fibroma and solid ovarian cancer.
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Affiliation(s)
- Yuemei Zheng
- Department of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, PR China
| | - Hong Wang
- Department of Radiology, Tianjin First Central Hospital, Tianjin, PR China
| | - Tingting Weng
- School of Medical Imaging, Tianjin Medical University, Tianjin, PR China
| | - Qiong Li
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, PR China
| | - Li Guo
- School of Medical Imaging, Tianjin Medical University, Tianjin, PR China
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3
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Ab Mumin N, Ramli Hamid MT, Abdul Hamid S, Chiew SF, Ahmad Saman MS, Rahmat K. Magnetic resonance imaging features of invasive breast cancer association with the tumour stromal ratio. PLoS One 2023; 18:e0290772. [PMID: 37624821 PMCID: PMC10456176 DOI: 10.1371/journal.pone.0290772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/13/2023] [Indexed: 08/27/2023] Open
Abstract
OBJECTIVE To assess the association between breast cancer tumour stroma and magnetic resonance imaging (MRI) features. MATERIALS AND METHODS A total of 84 patients with treatment-naïve invasive breast cancer were enrolled into this retrospective study. The tumour stroma ratio (TSR) was estimated from the amount of tumour stroma in the pathology specimen of the breast tumour. The MRI images of the patients were analysed based on Breast Imaging Reporting and Data Systems (ACR-BIRADS) for qualitative features which include T2- weighted, diffusion-weighted images (DWI) and dynamic contrast-enhanced (DCE) for kinetic features. The mean signal intensity (SI) of Short Tau Inversion Recovery (STIR), with the ratio of STIR of the lesion and pectoralis muscle (L/M ratio) and apparent diffusion coefficient (ADC) value, were measured for the quantitative features. Correlation tests were performed to assess the relationship between TSR and MRI features. RESULTS There was a significant correlation between the margin of mass, enhancement pattern, and STIR signal intensity of breast cancer and TSR. There were 54.76% (n = 46) in the low stromal group and 45.24% (n = 38) in the high stromal group. A significant association were seen between the margin of the mass and TSR (p = 0.034) between the L/M ratio (p <0.001), and between STIR SI of the lesion and TSR (p<0.001). The median L/M ratio was significantly higher in the high TSR group as compared to the lower TSR group (p < 0.001). CONCLUSION Breast cancer with high stroma had spiculated margins, lower STIR signal intensity, and a heterogeneous pattern of enhancement. Hence, in this preliminary study, certain MRI features showed a potential to predict TSR.
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Affiliation(s)
- Nazimah Ab Mumin
- Faculty of Medicine, Department of Radiology, Universiti Teknologi MARA, Selangor, Malaysia
- Faculty of Medicine, Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Shamsiah Abdul Hamid
- Faculty of Medicine, Department of Radiology, Universiti Teknologi MARA, Selangor, Malaysia
| | - Seow-Fan Chiew
- Faculty of Medicine, Department of Pathology, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Kartini Rahmat
- Faculty of Medicine, Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia
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Borukh E, Ilyaev B, Muminiy SN, Babayev M, Musheyev Y, Levada M. Ovarian Fibroma Presents As Uterine Leiomyoma in a 61-Year-Old Female: A Case Study. Cureus 2023; 15:e36264. [PMID: 37073210 PMCID: PMC10105824 DOI: 10.7759/cureus.36264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 03/19/2023] Open
Abstract
Uterine leiomyoma should be considered when a female patient reports symptoms of abdominal pressure and abnormal vaginal bleeding. However, the symptoms of a uterine leiomyoma are vast and overlap with other possible diseases that are difficult to distinguish even with imaging studies. This is why it is important for physicians and healthcare providers to keep an open mind and have a broad differential diagnosis. In this case study, we present a 61-year-old postmenopausal female patient who presented to the emergency department with complaints of pelvic and abdominal pain, as well as vomiting and diarrhea. She was admitted for observation. A complete blood count (CBC), comprehensive metabolic panel (CMP), and urinalysis revealed no abnormalities; a pelvic ultrasound and CT scan reported possible adnexal torsion. The patient remained stable and the pain had subsided when she was seen the next morning by her gynecologist (GYN) who discharged her to follow-up in the office. Subsequent examinations that aided in the diagnosis included, but were not limited to pelvic and transvaginal ultrasounds, an abdominal and pelvic CT, and a pelvic MRI. In this case, the MRI revealed an 11-cm mass that could represent a torsioned pedunculated necrotic fibroid originating from the uterus. Radiology recommended surgical removal. Upon removal and review of the pathology of the mass, it was revealed to be a torsioned, partially necrotic fibroma that had originated from the ovary and not from the uterus, as imaging had originally suggested.
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Cheng M, Tan S, Ren T, Zhu Z, Wang K, Zhang L, Meng L, Yang X, Pan T, Yang Z, Zhao X. Magnetic resonance imaging radiomics to differentiate ovarian sex cord-stromal tumors and primary epithelial ovarian cancers. Front Oncol 2023; 12:1073983. [PMID: 36713500 PMCID: PMC9880468 DOI: 10.3389/fonc.2022.1073983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/28/2022] [Indexed: 01/15/2023] Open
Abstract
Objective To evaluate the diagnostic ability of magnetic resonance imaging (MRI) based radiomics and traditional characteristics to differentiate between Ovarian sex cord-stromal tumors (SCSTs) and epithelial ovarian cancers (EOCs). Methods We consecutively included a total of 148 patients with 173 tumors (81 SCSTs in 73 patients and 92 EOCs in 75 patients), who were randomly divided into development and testing cohorts at a ratio of 8:2. Radiomics features were extracted from each tumor, 5-fold cross-validation was conducted for the selection of stable features based on development cohort, and we built radiomics model based on these selected features. Univariate and multivariate analyses were used to identify the independent predictors in clinical features and conventional MR parameters for differentiating SCSTs and EOCs. And nomogram was used to visualized the ultimately predictive models. All models were constructed based on the logistic regression (LR) classifier. The performance of each model was evaluated by the receiver operating characteristic (ROC) curve. Calibration and decision curves analysis (DCA) were used to evaluate the performance of models. Results The final radiomics model was constructed by nine radiomics features, which exhibited superior predictive ability with AUCs of 0.915 (95%CI: 0.869-0.962) and 0.867 (95%CI: 0.732-1.000) in the development and testing cohorts, respectively. The mixed model which combining the radiomics signatures and traditional parameters achieved the best performance, with AUCs of 0.934 (95%CI: 0.892-0.976) and 0.875 (95%CI: 0.743-1.000) in the development and testing cohorts, respectively. Conclusion We believe that the radiomics approach could be a more objective and accurate way to distinguish between SCSTs and EOCs, and the mixed model developed in our study could provide a comprehensive, effective method for clinicians to develop an appropriate management strategy.
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Affiliation(s)
- Meiying Cheng
- Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shifang Tan
- Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Tian Ren
- Department of Information, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zitao Zhu
- Medical College, Wuhan University, Wuhan, China
| | - Kaiyu Wang
- Magnetic resonance imaging (MRI) Research, GE Healthcare (China), Beijing, China
| | - Lingjie Zhang
- Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lingsong Meng
- Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xuhong Yang
- Department of Research, Huiying Medical Technology Co., Ltd., Beijing, China
| | - Teng Pan
- Department of Research, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Beijing, China
| | - Zhexuan Yang
- Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xin Zhao
- Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China,*Correspondence: Xin Zhao,
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Imaging of Metastatic Disease to the Ovary/Adnexa. Magn Reson Imaging Clin N Am 2022; 31:93-107. [DOI: 10.1016/j.mric.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Magnetic resonance imaging findings of cystic ovarian tumors: major differential diagnoses in five types frequently encountered in daily clinical practice. Jpn J Radiol 2022; 40:1213-1234. [PMID: 35916971 DOI: 10.1007/s11604-022-01321-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/21/2022] [Indexed: 10/16/2022]
Abstract
There are many types of ovarian tumors, and these different types often form cystic masses with a similar appearance, which can make their differentiation difficult. However, with the exclusion of rare ovarian tumors, the number of ovarian tumors encountered in daily practice is somewhat fixed. It goes without saying that magnetic resonance imaging (MRI) is useful for differentiating ovarian tumors. In this review, we summarize the differential diagnoses for each of the five types of MRI findings commonly encountered in daily practice. First, unilocular cystic masses without mural nodules/solid components include benign lesions such as serous cystadenoma, functional cysts, surface epithelial inclusion cysts, paratubal cysts, and endometriosis. Second, multilocular cystic ovarian lesions include mucinous tumors and ovarian metastases. It should be noted that mucinous tumors may be diagnosed as borderline or carcinoma, even if no solid component is observed. Third, cystic lesions with mural nodules that are unrelated to endometriosis include serous borderline tumor and serous carcinoma. Cystic lesions with solid components are more likely to be malignant, but some may be diagnosed as benign. Fourth, ovarian tumors deriving from endometriosis include seromucinous borderline tumors, endometrioid carcinoma, and clear cell carcinoma. These tumors sometimes need to be differentiated from serous tumors. Finally, cystic lesions with lipid contents include teratoma-related tumors. In mature cystic teratoma, mural nodules (called "Rokitansky protuberance" or "dermoid nipple") are sometimes seen, but they do not suggest malignancy. Some of these lesions can be diagnosed accurately by considering their characteristic imaging findings, their changes over time, MRI findings other than those of the primary lesion, and information from other modalities such as tumor markers. To ensure the optimal treatment for ovarian tumors, it is important to estimate the histological type as well as to diagnose whether a lesion is benign or malignant.
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8
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Zheng Y, Wang H, Li Q, Sun H, Guo L. Discriminating Between Benign and Malignant Solid Ovarian Tumors Based on Clinical and Radiomic Features of MRI. Acad Radiol 2022; 30:814-822. [PMID: 35810066 DOI: 10.1016/j.acra.2022.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/31/2022] [Accepted: 06/08/2022] [Indexed: 12/17/2022]
Abstract
RATIONALE AND OBJECTIVES To develop and validate a combined model integrating clinical and radiomic features to non-invasive discriminate between the benign and malignant solid ovarian tumors. MATERIALS AND METHODS A total of 148 patients with 156 solid ovarian tumors (86 benign and 70 malignant tumors) were included in this study. The dataset was split into the training and the test set with a ratio of 8:2 using stratified random sampling. 12 clinical features and 1612 radiomic features were extracted from each tumor. These features were selected by least absolute shrinkage and selection operator (Lasso). Three classification models were built using extreme gradient boosting (XGB) algorithm: clinical model, radiomic model, combined model. The area under the receiver operating characteristic curve (AUC), accuracy, precision and sensitivity were analyzed to evaluate the performance of these models. RESULTS All of the three models obtained good performances in differentiating benign with malignant solid ovarian tumors in both training and test sets. The AUC, accuracy, precision, sensitivity of clinical model and radiomic model in test set were 0.847 (95% confidence interval (CI), 0.707-0.986, p <0.01), 0.774, 0.769, 0.714, and 0.807 (95%CI, 0.652-0.961, p <0.05), 0.677, 0.643, 0.643, respectively. Combined model had the best prediction results, the AUC, accuracy, precision and sensitivity were 0.954 (95%CI, 0.862-1.0, p <0.01), 0.839, 0.909 and 0.714 in test set. CONCLUSION Radiomics based on machine learning can be helpful for radiologists in differentiating the benign and malignant solid ovarian tumors.
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Affiliation(s)
- Yuemei Zheng
- School of Medical Imaging, Tianjin Medical University, No. 1 Guangdong Road, Tianjin 300203, China
| | - Hong Wang
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China
| | - Qiong Li
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Haoran Sun
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Guo
- School of Medical Imaging, Tianjin Medical University, No. 1 Guangdong Road, Tianjin 300203, China.
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9
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The role of "penumbra sign" and diffusion-weighted imaging in adnexal masses: do they provide a clue in differentiating tubo-ovarian abscess from ovarian malignancy? Pol J Radiol 2022; 86:e661-e671. [PMID: 35059059 PMCID: PMC8757038 DOI: 10.5114/pjr.2021.111986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022] Open
Abstract
Purpose To evaluate the role of “penumbra sign”, diffusion-weighted imaging (DWI), and the apparent diffusion coefficient (ADC) value in differentiating tubo-ovarian abscess (TOA) from ovarian malignancy. Material and methods Thirty-six patients with 50 adnexal masses (tubo-ovarian abscess, n = 24; ovarian malignancy, n = 26), who underwent magnetic resonance imaging (MRI) with DWI, were retrospectively evaluated. “Penumbra sign” (hyperintense rim on T1W images), diffusion restriction, and mean apparent diffusion coefficient (ADC) values from cystic (c-ADC) and solid (s-ADC) components were evaluated for all the masses. Results “Penumbra sign” on T1W images was significantly more common in the TOA group (n = 21, 87.5%) than in the ovarian malignancy group (n = 2, 7.7%) (p < 0.001). Similarly, diffusion restriction in the cystic component was more frequent in the TOA group (n = 24, 100% vs. n = 2, 10.5%; p < 0.001). In contrast, diffusion restriction in the solid component was more common in the ovarian malignancy group (n = 5, 20.8% vs. n = 26, 100%; p < 0.001). The mean c-ADC value was significantly lower in TOAs (p < 0.001). A c-ADC value of 1.31 × 10-3 mm2/s may be an optimal cut-off in distinguishing TOAs from ovarian malignancies. Conversely, the mean s-ADC value was significantly lower in the ovarian malignancy group (p < 0.001). An s-ADC value of 0.869 × 10-3 mm2/s may be an optimal cut-off in differentiating ovarian malignancies from TOAs (p < 0.001). ROC curve analysis showed that c-ADC values had a higher diagnostic accuracy than s-ADC values. Conclusions “Penumbra sign” on T1W images, diffusion characteristics, and ADC values provide important clues in addition to conventional MR imaging features in differentiating TOA from ovarian malignancy.
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All that glitters are not gold: holds true in female adnexal lesions. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00580-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Adnexal mass lesions are commonly encountered pathologies that creates diagnostic challenges for radiologist. Diffusion weighted imaging is a vital tool in the radiologist armamentarium for improving the diagnostic accuracy of adnexal lesions other than routine spine echo sequences.
Main body
Functional information about the lesion regarding the mobility of the water molecules in its tissue is assessed by diffusion weighted imaging. In addition to the solid malignant neoplasm, normal blood, fat, necrosis and pus also shows restricted diffusion.
Conclusion
All the lesion that shows restriction in the DWI are not malignant, but converse is mostly true. Knowledge regarding the non-malignant lesion in the ovary that shows restricted diffusion will give a clue in diagnosis, management and treatment of the adnexal lesions.
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Eom SY, Rha SE. [Adnexal Masses: Clinical Application of Multiparametric MR Imaging & O-RADS MRI]. TAEHAN YONGSANG UIHAKHOE CHI 2021; 82:1066-1082. [PMID: 36238388 PMCID: PMC9432352 DOI: 10.3348/jksr.2021.0111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/16/2021] [Accepted: 07/26/2021] [Indexed: 11/15/2022]
Abstract
Incidental adnexal masses considered indeterminate for malignancy are commonly observed on ultrasonography. Multiparametric MRI is the imaging modality of choice for the evaluation of sonographically indeterminate adnexal masses. Conventional MRI enables a confident pathologic diagnosis of various benign lesions due to accurate tissue characterization of fat, blood, fibrous tissue, and solid components. Additionally, functional imaging sequences, including perfusion- and diffusion-weighted imaging, improve the diagnostic efficacy of conventional MRI in differentiating benign from malignant adnexal masses. The ovarian-adnexal reporting and data system (O-RADS) MRI was recently designed to provide consistent interpretations in assigning risk of malignancy to ovarian and other adnexal masses, and to provide a management recommendation for each risk category. In this review, we describe the clinical application of multiparametric MRI for the evaluation of adnexal masses and introduce the O-RADS MRI risk stratification system.
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Pecorelli S, Tonegatti UG, Stern MV, Bulotta AL, Laffranchi F, Stegher C, Odicino F, Alberti D. Management of Large Pediatric and Adolescent Ovarian Neoplasms with a Leak-Proof Extracorporeal Drainage Technique: Our Experience Using a Hybrid Minimally Invasive Approach. J Pediatr Adolesc Gynecol 2021; 34:394-399. [PMID: 32828966 DOI: 10.1016/j.jpag.2020.08.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 08/05/2020] [Accepted: 08/07/2020] [Indexed: 12/14/2022]
Abstract
STUDY OBJECTIVE In a pediatric setting, laparoscopic management of large cystic ovarian neoplasms with low malignancy probability is not suitable, because of the mass size; nevertheless, an effort should be made to be as minimally invasive as possible, without violating the principles of oncologic surgery. We describe our experience in managing these neoplasms with leak-proof extracorporeal drainage through mini laparotomy, followed by cyst excision or oophorectomy. DESIGN Case series study, describing interventions and outcomes. SETTING Department of pediatric surgery in a tertiary pediatric and adult university hospital. PARTICIPANTS Pediatric patients affected by large cystic ovarian mass. INTERVENTIONS Hybrid minimally invasive approach using leak-proof extracorporeal drainage. MAIN OUTCOME MEASURES Data on demographic characteristics, tumor marker values, and imaging findings were collected and analyzed. Outcome of surgical technique was evaluated and reported. RESULTS Between 2011 and 2018, 17 patients (mean age, 10.2 years; range, 2-14 years) affected by large cystic ovarian mass, were eligible for this technique. All patients had negative preoperative tumor markers. Of the seventeen subjects, 13/17 girls (76%) underwent pelvic magnetic resonance imaging. No sign of lymphadenopathy or metastasis was found. Surgery was successful in all patients, with ovarian preservation in 5/17 cases (29.4%). Mean surgical time was 98 minutes; no intra-abdominal leakage of neoplasm content or postoperative complications occurred. Mature cystic teratoma was the most frequent histopathological diagnosis (71%). CONCLUSION After a thorough patient selection, the management of large cystic ovarian neoplasms with leak-proof extracorporeal drainage performed through a mini laparotomy is a feasible and safe approach, with excellent cosmetic results. When achievable, ovarian-sparing surgery has to be considered.
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Affiliation(s)
- Silvia Pecorelli
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy.
| | - Uca Giacomo Tonegatti
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy
| | - Maria Vittoria Stern
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy
| | - Anna Lavinia Bulotta
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy
| | | | - Claudia Stegher
- Department of Obstetrics and Gynecology, ASST Spedali Civili Brescia, Brescia, Italy
| | - Franco Odicino
- Department of Obstetrics and Gynecology, ASST Spedali Civili Brescia, Brescia, Italy
| | - Daniele Alberti
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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Elsharoud A, Brakta S, Elhusseini H, Al-Hendy A. A presentation of ovarian fibrothecoma in a middle-aged female with recurrent massive ascites and postmenopausal bleeding: A case report. SAGE Open Med Case Rep 2020; 8:2050313X20974222. [PMID: 33425356 PMCID: PMC7758649 DOI: 10.1177/2050313x20974222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 10/26/2020] [Indexed: 11/19/2022] Open
Abstract
Fibrothecomas are mostly benign ovarian tumors. We describe a rare case of fibrothecoma in a 59-year-old woman with a history of recurrent massive ascites and postmenopausal bleeding. Over 2 years she has undergone more than 50 paracenteses with 8–11 L withdrawn each time. She presented with a newly diagnosed pelvic mass and bilateral hydrosalpinges demonstrated on ultrasound and were confirmed with computed tomography. The pelvic magnetic resonance imaging showed a large complex cystic mass arising from the left ovary measuring 16.6 × 12.1 × 8.6 cm3 with an area of irregular mural enhancement. The patient underwent left salpingo-oophorectomy with benign frozen section results. The final pathology was consistent with cystic degeneration of fibrothecoma
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Affiliation(s)
- Amro Elsharoud
- Department of Family Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Soumia Brakta
- Department of Obstetrics and Gynecology, Section of Reproductive Endocrine, Infertility & Genetics, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Heba Elhusseini
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Ayman Al-Hendy
- Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL, USA
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Adnexal masses characterized on 3 tesla magnetic resonance imaging - added value of diffusion techniques. Radiol Oncol 2020; 54:419-428. [PMID: 33085642 PMCID: PMC7585339 DOI: 10.2478/raon-2020-0061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/14/2020] [Indexed: 11/23/2022] Open
Abstract
Background To assess different types of adnexal masses as identified by 3T MRI and to discuss the added value of diffusion techniques compared with conventional sequences. Patients and methods 174 women age between 13 and 87 underwent an MRI examination of the pelvis for a period of three years. Patients were examined in two radiology departments – 135 of them on 3 Tesla MRI Siemens Verio and 39 on 3 Tesla MRI Philips Ingenia. At least one adnexal mass was diagnosed in 98 patients and they are subject to this study. Some of them were reviewed retrospectively. Data from patients’ history, physical examination and laboratory tests were reviewed as well. Results 124 ovarian masses in 98 females’ group of average age 47.2 years were detected. Following the MRI criteria, 59.2% of the cases were considered benign, 30.6% malignant and 10.2% borderline. Out of all masses 58.1% were classified as cystic, 12.9% as solid and 29% as mixed. Оf histologically proven tumors 74.4% were benign and 25.6% were malignant. All of the malignant tumors had restricted diffusion. 64 out of all patients underwent contrast enhancement. (34 there were a subject of contraindications). 39 (61%) of the masses showed contrast enhancement. Conclusions Classifying adnexal masses is essential for the preoperative management of the patients. 3T MRI protocols, in particular diffusion techniques, increase significantly the accuracy of the diagnostic assessment.
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Zhang XW, Zhai LR, Huang DW, Jiang ZD, Yu T, Liu SY, Cui MH. Pregnancy with giant ovarian dysgerminoma: A case report and literature review. Medicine (Baltimore) 2020; 99:e21214. [PMID: 33031254 PMCID: PMC7544166 DOI: 10.1097/md.0000000000021214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
RATIONALE Dysgerminoma is an extraordinarily rare neoplasm arising from the malignant germ cells of the ovary. Early antenatal diagnosis and proper management of the neoplasm to improve maternal-neonatal results are the considerable challenges facing the gyne-oncologist. We summarize the clinical features and discuss treatment strategies of the ovary dysgerminoma (OD). Besides, we also review the literature on OD in PubMed, Web of Science Core Collection, Library of Congress, and LISTA from 1939 to 2019 to evaluate its clinical characteristics, feto-maternal compromise, management, and fertility outcome. PATIENT CONCERNS A 25-year-old pregnant woman reported lower abdominal pain and vomiting. DIAGNOSIS The patient was diagnosed as right OD. INTERVENTIONS She received a cesarean section due to severe abdominal pain, delivered a healthy girl at 38 C 4 weeks of gestation, and accepted fertility-preserving surgery. However, the patient refused chemotherapy postoperatively. OUTCOMES The patient was followed up 42 days, 3 months, and 6 months after surgery, and no tumor recurrence was observed. LESSONS OD has non-specificity characteristics, including age, symptoms, image date, and tumor marks. However, these abnormal indicators may provide some evidence for accurate antenatal diagnosis. The management strategies should be considered comprehensively on an individual basis, and fertility-preserving surgery should be carried out in the second trimester if further pregnancy is desired. Adjuvant chemotherapy needs to be applied to the treatment of OD patients with The International Federation of Gynecology and Obstetrics (FIGO) stages II, III, and IV and timely chemotherapy is suggested if there are several weeks before the expected date of delivery. The overall prognosis of OD patients is excellent.
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Affiliation(s)
| | - Li-Rong Zhai
- Department of Gynecology and Obstetrics, Peking University People Hospital, Beijing
| | | | | | | | - Shu-Yan Liu
- Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
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16
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Ansardamavandi A, Tafazzoli-Shadpour M, Omidvar R, Nili F. An AFM-Based Nanomechanical Study of Ovarian Tissues with Pathological Conditions. Int J Nanomedicine 2020; 15:4333-4350. [PMID: 32606681 PMCID: PMC7311358 DOI: 10.2147/ijn.s254342] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 06/02/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Different diseases affect both mechanical and chemical features of the involved tissue, enhancing the symptoms. METHODS In this study, using atomic force microscopy, we mechanically characterized human ovarian tissues with four distinct pathological conditions: mucinous, serous, and mature teratoma tumors, and non-tumorous endometriosis. Mechanical elasticity profiles were quantified and the resultant data were categorized using K-means clustering method, as well as fuzzy C-means, to evaluate elastic moduli of cellular and non-cellular parts of diseased tissues and compare them among four disease conditions. Samples were stained by hematoxylin-eosin staining to further study the content of different locations of tissues. RESULTS Pathological state vastly influenced the mechanical properties of the ovarian tissues. Significant alterations among elastic moduli of both cellular and non-cellular parts were observed. Mature teratoma tumors commonly composed of multiple cell types and heterogeneous ECM structure showed the widest range of elasticity profile and the stiffest average elastic modulus of 14 kPa. Samples of serous tumors were the softest tissues with elastic modulus of only 400 Pa for the cellular part and 5 kPa for the ECM. Tissues of other two diseases were closer in mechanical properties as mucinous tumors were insignificantly stiffer than endometriosis in cellular part, 1300 Pa compared to 1000 Pa, with the ECM average elastic modulus of 8 kPa for both. CONCLUSION The higher incidence of carcinoma out of teratoma and serous tumors may be related to the intense alteration of mechanical features of the cellular and the ECM, serving as a potential risk factor which necessitates further investigation.
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Affiliation(s)
- Arian Ansardamavandi
- Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | | | - Ramin Omidvar
- Faculty of Biology, Centre for Biological Signalling Studies (BIOSS), Albert Ludwigs University Freiburg, Freiburg, Germany
| | - Fatemeh Nili
- Department of Pathology, Tehran University of Medical Sciences, Tehran, Iran
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17
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Comparison of HASTE with multiple signal averaging versus conventional turbo spin echo sequence: a new option for T2-weighted MRI of the female pelvis. Eur Radiol 2020; 30:3245-3253. [DOI: 10.1007/s00330-020-06686-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 12/09/2019] [Accepted: 01/29/2020] [Indexed: 10/25/2022]
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18
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Nougaret S, Nikolovski I, Paroder V, Vargas HA, Sala E, Carrere S, Tetreau R, Hoeffel C, Forstner R, Lakhman Y. MRI of Tumors and Tumor Mimics in the Female Pelvis: Anatomic Pelvic Space-based Approach. Radiographics 2020; 39:1205-1229. [PMID: 31283453 DOI: 10.1148/rg.2019180173] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Pelvic masses can present a diagnostic challenge owing to the difficulty in assessing their origin and the overlap in imaging features. The majority of pelvic tumors arise from gastrointestinal or genitourinary organs, with less common sites of origin including the connective tissues, nerves, and lymphovascular structures. Lesion evaluation usually starts with clinical assessment followed by imaging, or the lesion may be an incidental finding at imaging performed for other clinical indications. Since accurate diagnosis is essential for optimal management, imaging is useful for suggesting the correct diagnosis or narrowing the differential possibilities and distinguishing tumors from their mimics. Some masses may require histologic confirmation of the diagnosis with biopsy and/or up-front surgical resection. In this case, imaging is essential for presurgical planning to assess mass size and location, evaluate the relationship to adjacent pelvic structures, and narrow differential possibilities. Pelvic US is often the first imaging modality performed in women with pelvic symptoms. While US is often useful to detect a pelvic mass, it has significant limitations in assessing masses located deep in the pelvis or near gas-filled organs. CT also has limited value in the pelvis owing to its inferior soft-tissue contrast. MRI is frequently the optimal imaging modality, as it offers both multiplanar capability and excellent soft-tissue contrast. This article highlights the normal anatomy of the pelvic spaces in the female pelvis and focuses on MRI features of common tumors and tumor mimics that arise in these spaces. It provides an interpretative algorithm for approaching an unknown pelvic lesion at MRI. It also discusses surgical management, emphasizing the value of MRI as a road map to surgery and highlighting anatomic locations where surgical resection may present a challenge. ©RSNA, 2019.
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Affiliation(s)
- Stephanie Nougaret
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Ines Nikolovski
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Viktoriya Paroder
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Hebert A Vargas
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Evis Sala
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Sebastien Carrere
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Raphael Tetreau
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Christine Hoeffel
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Rosemarie Forstner
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
| | - Yulia Lakhman
- From the Montpellier Cancer Research Institute (IRCM), INSERM U1194, Montpellier, France (S.N.); Departments of Radiology (S.N., R.T.) and Surgery (S.C.), Montpellier Cancer Institute, University of Montpellier, 208 Ave des Apothicaires, Montpellier 34298, France; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (I.N., V.P., H.A.V., Y.L.); Department of Radiology, Cambridge Biomedical Campus, Cambridge, England (E.S.); Department of Radiology, CHU Reims, Reims, France (C.H.); CReSTIC, URCA, Reims University, Reims, France (C.H.); and Department of Radiology, Universitätsklinikum, PMU, Salzburg, Austria (R.F.)
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Ovarian solid tumors: MR imaging features with radiologic-pathologic correlation. Jpn J Radiol 2020; 38:719-730. [PMID: 32342277 DOI: 10.1007/s11604-020-00976-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 04/08/2020] [Indexed: 10/24/2022]
Abstract
Ovarian solid tumors have variable histological types including benign and malignant tumors. In addition, non-neoplastic lesions sometimes show a tumor-like appearance. It is important to differentiate benign from malignant tumors. In general, low signal intensity (SI) on T2-weighted imaging (T2WI), low SI on diffusion-weighted imaging (DWI), and gradual increased pattern on dynamic contrast-enhanced magnetic resonance (MR) imaging are known to be suggestive of a benign tumor. Conversely, there are some cases in which these rules do not apply. We should, therefore, strive for a greater understanding of these exceptional cases. Several tumors show characteristic findings on MR imaging reflecting pathologic features, which leads to the correct diagnosis. Additionally, MR imaging provides important information other than the nature of tumors, such as secondary uterine changes. Furthermore, clinical findings and laboratory examination data also help in determining the correct diagnosis.
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20
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Abstract
This article provides an overview of the imaging evaluation of benign ovarian and adnexal masses in premenopausal and postmenopausal women and lesions discovered during pregnancy. Current imaging techniques are discussed, including pitfalls and differential diagnosis when necessary, as well as management. It also reviews the now well-established American College of Radiology (ACR)/Society of Radiologists in Ultrasound consensus guidelines and covers the more recently introduced Ovarian-Adnexal Reporting and Data System by the ACR and the recently published ADNEx Scoring System.
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Affiliation(s)
- Nadia J Khati
- Department of Radiology, Abdominal Imaging Section, The George Washington University Hospital, 900 23rd Street, Northwest, Washington, DC 20037, USA.
| | - Tammy Kim
- Department of Radiology, Abdominal Imaging Section, The George Washington University Hospital, 900 23rd Street, Northwest, Washington, DC 20037, USA
| | - Joanna Riess
- Department of Radiology, Abdominal Imaging Section, The George Washington University Hospital, 900 23rd Street, Northwest, Washington, DC 20037, USA
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21
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Ali A, Beckett K, Flink C. Emergent MRI for acute abdominal pain in pregnancy-review of common pathology and imaging appearance. Emerg Radiol 2020; 27:205-214. [PMID: 31902010 DOI: 10.1007/s10140-019-01747-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 12/20/2019] [Indexed: 12/23/2022]
Abstract
Acute abdominal pain in pregnancy remains a clinically challenging presentation, often requiring imaging. The threat of morbidity and mortality to both mother and fetus necessitates quick and accurate imaging diagnosis, often via ultrasound. However, many of the common causes of acute abdominal pain are not readily diagnosed with sonography, and magnetic resonance imaging (MRI) is increasingly favored in this setting. The purpose of this review is to familiarize the reader with common pathologies which may be encountered in pregnant females presenting with acute abdominal pain requiring emergent MRI.
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Affiliation(s)
- Arafat Ali
- Department of Radiology, University of Cincinnati Medical Center, 234 Goodman Street, Cincinnati, OH, 45267, USA.
| | - Katrina Beckett
- Department of Radiology, University of California Los Angeles Medical Center, 10833 Le Conte Avenue, Los Angeles, CA, 90095, USA
| | - Carl Flink
- Department of Radiology, University of Cincinnati Medical Center, 234 Goodman Street, Cincinnati, OH, 45267, USA
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22
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Horiuchi T, Amano T, Seko-Nitta A, Takahashi A, Kimura F, Murakami T. MRI findings characteristic of ovarian primary adenosarcoma. J OBSTET GYNAECOL 2019; 40:1176-1177. [PMID: 31775546 DOI: 10.1080/01443615.2019.1672634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Tatsuro Horiuchi
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan
| | - Tsukuru Amano
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan
| | - Ayumi Seko-Nitta
- Department of Radiology, Shiga University of Medical Science, Otsu, Japan
| | - Akimasa Takahashi
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan
| | - Fuminori Kimura
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan
| | - Takashi Murakami
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan
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23
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Fang M, Dong J, Zhong Q, Fang X, Chen Y, Wang C, Yan H. Value of diffusion-weighted imaging combined with conventional magnetic resonance imaging in the diagnosis of thecomas and their differential diagnosis with adult granulosa cell tumors. Acta Radiol 2019; 60:1532-1542. [PMID: 30776906 DOI: 10.1177/0284185119830280] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Mengshi Fang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Jiangning Dong
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Qun Zhong
- Department of Radiology, Fuzhou General Hospital, PLA, Fuzhou, Fujian, PR China
| | - Xin Fang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Yulan Chen
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Chuanbin Wang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Hong Yan
- Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
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Mansour SM, Gomma MMM, Shafik PN. Proton MR spectroscopy and the detection of malignancy in ovarian masses. Br J Radiol 2019; 92:20190134. [PMID: 31287729 DOI: 10.1259/bjr.20190134] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To assess the impact of MR spectroscopy (MRS) on the detection of malignancy in ovarian masses. METHODS This prospective work included 230 females that had 245 adnexal/ovarian masses. Tumours were spotted by preliminary pelvic ultrasound. Masses assessed by MRI, multi- or single-voxel spectroscopy. Patients' spectra were assessed for peaks of lactate (Lac, 1.31 ppm), lipid (Lip, 1.33 ppm), N-acetyl aspartate (2.0 ppm), acetone (A, 2.05 ppm), choline (Cho, 3.23 ppm) and creatinine (Cr, 3.4 ppm) and the mean values of the (Cho/Cr) ratios were performed by a semi-quantitative approach. The operative pathology served as the standard of reference. RESULTS Cho peak twofold higher than the average noise level was detected in 72% of the malignant and only 5.4% of the benign masses with an accuracy of 83%. Adding lactate to the choline enhanced the accuracy to 93%. The mean Cho/Cr ratios of the malignant ovarian masses (2.8) were significantly higher than that of the benign ones (1.2) . We used a receiver operating characteristic curve to determine the best cut-off value (1.7) for the mean Cho/Cr ratio to discriminate malignancy with sensitivity: 81.2%, specificity: 93.3 %, positive-predictive value: 92.9 %, negative-predictive value: 82.4% and accuracy: 87.1%. CONCLUSION The simultaneous presence of choline and lactate peaks in MRS examination of the ovarian masses minimizes the overlap between benign and malignant categories. N-acetyl aspartate and acetone are the metabolites for diagnosing complex cystic masses as benign teratoma, endomterioma and tubo- ovarian abscess. ADVANCES IN KNOWLEDGE MRS is a non-contrast based and fast MR sequence that gives an idea about tissue components could be used to improve the sensitivity and the accuracy of detecting malignancy in ovarian masses.
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Affiliation(s)
- Sahar Mahmoud Mansour
- 1Department of Radiology (Women's imaging unit), Kasr ElAiny Hospital - Faculty of Medicine - Cairo University, Cairo, Egypt
| | | | - Peter Nashaat Shafik
- 2Department of Radiology, National Cancer Institute- Faculty of Medicine - Cairo University, Cairo, Egypt
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An Unusual Ovarian Mucinous Borderline Tumor with a Large Solid Component. Case Rep Radiol 2019; 2019:1402736. [PMID: 31240146 PMCID: PMC6556328 DOI: 10.1155/2019/1402736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 05/16/2019] [Indexed: 11/17/2022] Open
Abstract
Herein, we report magnetic resonance imaging (MRI) findings of a mucinous borderline tumor of the ovary, which we observed as a mainly solid tumor with large solid components in the lower pelvic cavity. The appearance of ovarian epithelial tumors on imaging is often complex. Cystic to solid appearing masses may be observed, and they often resemble epithelial carcinoma. Due to mucinous or hemorrhage components of packed small or microcystic components, MRI depicts slightly high signal intensity on T1-weighted images and low signal intensity on T2-weighted images. Mucinous borderline tumor of the ovary with a large solid component is very rare, but it is clinically important to recognize the possibility of mucinous borderline tumor to avoid unnecessary surgical intervention.
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26
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Malek M, Oghabian Z, Tabibian E, Rahmani M, Miratashi Yazdi SN, Oghabian MA, Parviz S. Comparison of Qualitative (Time Intensity Curve Analysis), Semi-Quantitative, and Quantitative Multi-Phase 3T DCEMRI Parameters as Predictors of Malignancy in Adnexal. Asian Pac J Cancer Prev 2019; 20:1603-1611. [PMID: 31244278 PMCID: PMC7021620 DOI: 10.31557/apjcp.2019.20.6.1603] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Indexed: 01/08/2023] Open
Abstract
Objective: The present study aimed to compare the qualitative (time intensity curve analysis), the semi-quantitative and the quantitative multiphase 3T dynamic contrast-enhanced (DCE) MRI parameters as predictors of malignancy in adnexal masses. Materials and Methods: In this prospective study, women with an adnexal mass who were scheduled for surgical resection or were followed for more than one year period to confirm the benignity of their lesions, underwent multiphase 3T DCE-MRI. The qualitative (time intensity curve), semi-quantitative (SImax, SIrel, WIR) and quantitative (Ktrans, Kep, Vb) analyses were performed on DCE-MRI sequences and their predictive values were compared. Results: A total of 17 benign and 14 malignant lesions were included. According to the qualitative analysis, none of the lesions with Type I time intensity curves (TIC) were malignant and none of the masses with Type III TICs were benign. The accuracy of the quantitative parameters in detection of malignancy was found to be higher than that of semi-quantitative variables, particularly when calculated for a small ROI within the high signal area of the mass (sROI) rather than the largest ROI including the whole mass (lROI), and when inter-MRI variations were omitted using ratios. The Kep(tumor)/Kep(myometrium) ratio measured from sROI was the best parameter for differentiating a malignant lesion with a sensitivity of 100% and a specificity of 92.3%. Conclusion: We concluded that a Type I TIC confirms a benign lesion, and a type III TIC confirms the malignancy and further evaluation is not recommended for these lesions. So complementary quantitative analysis is only recommended for adnexal masses with type II TICs.
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Affiliation(s)
- Mehrooz Malek
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Zeynab Oghabian
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Elnaz Tabibian
- Department of Radiology, Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Maryam Rahmani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Seyedeh Nooshin Miratashi Yazdi
- Department of Radiology, Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad Ali Oghabian
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Sara Parviz
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
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Abstract
Developments in magnetic resonance imaging have expanded its role in the assessment of the female pelvis, including the diagnosis of ovarian lesions. In this setting, diffusion-weighted imaging has proven its diagnostic value, which is particularly important in differentiating between benign and malignant ovarian tumors. In general, the latter show restricted diffusion, whereas the former do not. Exceptions include teratomas, endometriomas, hemorrhagic cysts, ovarian abscesses, ovarian infarction, and some benign stromal tumors. The aim of this review is to draw attention to benign ovarian lesions with restricted diffusion, with a special focus on diffusion-weighted imaging pearls and pitfalls.
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Affiliation(s)
| | - Mariana Horta
- Instituto Português de Oncologia de Lisboa Francisco Gentil - Radiologia, Lisboa, Portugal
| | - João Cunha Salvador
- Instituto Português de Oncologia de Lisboa Francisco Gentil - Radiologia, Lisboa, Portugal
| | - Teresa Margarida Cunha
- Instituto Português de Oncologia de Lisboa Francisco Gentil - Radiologia, Lisboa, Portugal
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Yamaguchi K, Hara Y, Kitano I, Hamamoto T, Kiyomatsu K, Yamasaki F, Egashira R, Nakazono T, Irie H. Tumor-stromal ratio (TSR) of invasive breast cancer: correlation with multi-parametric breast MRI findings. Br J Radiol 2019; 92:20181032. [PMID: 30835501 DOI: 10.1259/bjr.20181032] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE To correlate the tumor-stromal ratio (TSR) of invasive breast cancer and MRI findings. METHODS This study was approved by our institutional review board. 126 consecutive patients with surgically proven invasive breast cancer were included. All patients underwent MRI exams including short-tau inversion-recovery (STIR) T 2 weighted imaging, diffusion-weighted imaging (DWI) and post-contrast dynamic imaging. The mean signal intensity (SI) and apparent diffusion coefficient (ADC) value of each lesion were measured. To objectively evaluate the STIR images, the ratio of the SI of the lesion to the muscle (L/M ratio) was also measured. Percentages of MRI kinetic parameters obtained from dynamic images were also measured. The TSR was defined as the percentage of the stromal component, and categorized into high-stroma (> 50%) and low-stroma (< 50%) groups. Intergroup differences in the SI, L/M ratio, ADC value and percentages of kinetic parameters were examined. RESULTS The SI and L/M ratio of the high-stroma group were significantly lower than those of the low-stromal group (208.64 vs 331.86 for SI, 5.69 vs 9.31 for L/M ratio) (p < 0.001). The high-stroma group had significantly lower percentages of a washout pattern (25% vs 34.7 %) (p = 0.012) and significantly higher percentages of a persistent pattern (36.92% vs 28.26 %) (p = 0.044). There were no significant correlations between the TSR and ADC value. CONCLUSION STIR and dynamic sequence of breast MRI reflects the stromal component of invasive breast cancer. ADVANCES IN KNOWLEDGE This is the first study to correlate TSR and MRI findings. STIR and post-contrast dynamic study correlated with the stromal component of breast cancer.
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Affiliation(s)
- Ken Yamaguchi
- 1 Department of Radiology, Faculty of Medicine, Saga University , Saga , Japan
| | - Yukiko Hara
- 2 Department of Radiology, Saga Central Hospital , Saga , Japan
| | - Isao Kitano
- 2 Department of Radiology, Saga Central Hospital , Saga , Japan
| | | | | | - Fumio Yamasaki
- 5 Department of Pathology, Saga Central Hospital , Saga , Japan
| | - Ryoko Egashira
- 1 Department of Radiology, Faculty of Medicine, Saga University , Saga , Japan
| | - Takahiko Nakazono
- 1 Department of Radiology, Faculty of Medicine, Saga University , Saga , Japan
| | - Hiroyuki Irie
- 1 Department of Radiology, Faculty of Medicine, Saga University , Saga , Japan
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Zhao Y, Mao X, Yao L, Shen J. Computed tomography imaging features of benign ovarian Brenner tumors. Oncol Lett 2018; 16:1141-1146. [PMID: 30061939 DOI: 10.3892/ol.2018.8766] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 04/13/2018] [Indexed: 11/06/2022] Open
Abstract
The present study aimed to describe the computed tomography (CT) imaging features of ovarian Brenner tumor for diagnostic accuracy and disease understanding. The CT imaging features of 9 cases of ovarian Brenner tumor confirmed by surgery and pathology were retrospectively analyzed and compared. Of the 9 cases of ovarian Brenner tumor, 3 were right located and 6 were left located with clear borders; 7 with round or oval shapes, while 2 were with irregular and lobulated morphology; 5 solid lesions presented with multiple scattered calcification shadows inside with moderate enhancement, while 3 cystic lesions were presented with mixed solid and cystic composition, and significant enhancement was identified in the solid component, but not in the cystic component. Furthermore, papillary projections inside and mild nodular enhancement were observed in one case of cystic lesion. The pathological analysis demonstrated that an epithelium nest composed the tumors with urothelial like cells and fibrous matrix. Of the 9 cases, 5 epithelial nests exhibited adeno-like cystic lumen without cell mitosis phase. All cases were diagnosed with benign ovarian Brenner tumor. Specific CT imaging features of ovarian Brenner tumor can be identified and pathological examinations are required for diagnosis confirmation.
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Affiliation(s)
- Yuying Zhao
- Department of Radiology, Huzhou Central Hospital, Huzhou, Zhejiang 313003, P.R. China
| | - Xinfeng Mao
- Department of Radiology, Huzhou Central Hospital, Huzhou, Zhejiang 313003, P.R. China
| | - Lidi Yao
- Department of Radiology, Huzhou Central Hospital, Huzhou, Zhejiang 313003, P.R. China
| | - Jian Shen
- Department of Radiology, Huzhou Central Hospital, Huzhou, Zhejiang 313003, P.R. China
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Reinert T, Nogueira-Rodrigues A, Kestelman FP, Ashton-Prolla P, Graudenz MS, Bines J. The Challenge of Evaluating Adnexal Masses in Patients With Breast Cancer. Clin Breast Cancer 2018; 18:e587-e594. [PMID: 29680194 DOI: 10.1016/j.clbc.2018.03.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 02/26/2018] [Accepted: 03/07/2018] [Indexed: 10/17/2022]
Abstract
This narrative literature review addresses the problem of an adnexal mass discovered during the course of breast cancer (BC) care, which may represent a benign condition, a metastatic process, or a primary ovarian cancer (OC), clinical scenarios associated with distinct physiopathology and prognosis. Furthermore, the coexistence of BC and OC in the same patient may be owing to a hereditary disorder, deserving specific management strategies and counseling. The initial detection and evaluation of an adnexal mass in a patient with BC requires a high index of suspicion, and the initial workup should include a thorough medical history and physical examination, measurement of tumor markers, complete blood count, and imaging tests. Transvaginal ultrasonography remains the standard tool, and findings suggestive of malignancy include bilateral tumors, thick septations, predominance of a solid component, Doppler flow to the solid component, and ascites. From the pathology point of view, features that are suggestive of metastatic disease include bilaterality, mild ovarian enlargement, vascular emboli, no omental deposits, and the absence of transition from benign to malignant epithelium. Although there is a considerable overlap in OC and BC immunohistochemical profiles, BC usually stain positive for GCDFP-15 and negative for vimentine, PAX8, and WT1, and OC often stain positive for CK7, PAX8, WT1, and to mesothelin. Genetic counselling should always be indicated in this clinical scenario. In conclusion, diagnostic spectrum of an ovarian mass in a patient with BC is broad, and a systematic multi-professional strategy is necessary to conduct these challenging cases.
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Affiliation(s)
- Tomás Reinert
- Hospital do Câncer Mãe de Deus, Porto Alegre, Brazil; Programa de Pós-Graduação em Ciências Médicas, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Angélica Nogueira-Rodrigues
- Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil; Brazilian Group of Gynecologic Oncology (EVA), Belo Horizonte, Brazil; DOM Oncologia, Minas Gerais, Brazil
| | | | - Patricia Ashton-Prolla
- Departamento de Genética e Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Laboratório de Medicina Genômica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Márcia Silveira Graudenz
- Programa de Pós-Graduação em Ciências Médicas, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Departamento de Patologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Instituto de Patologia, Porto Alegre, Brazil
| | - José Bines
- Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
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Chauhan RS, Kumar I, Verma A. CT depiction of ovarian dermoid showing spontaneous fistulous communication with small bowel. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2018. [DOI: 10.1016/j.ejrnm.2017.09.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Cappabianca S, Iaselli F, Reginelli A, D'Andrea A, Urraro F, Grassi R, Rotondo A. Value of Diffusion-Weighted Magnetic Resonance Imaging in the Characterization of Complex Adnexal Masses. TUMORI JOURNAL 2018; 99:210-7. [DOI: 10.1177/030089161309900215] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Aims and background The aim of the study was to define the role of diffusion-weighted imaging in the characterization of adnexal complex masses, with particular regard to the distinction between benign and malignant lesions. Conflicting results on this topic have emerged from studies in the last decade, with a consequent substantial limitation to the use of this relatively novel technique in clinical practice. Methods and study design Magnetic resonance imaging examinations performed on 91 patients with ovarian masses (56 benign, 35 malignant) were retrospectively evaluated by two observers unaware of the final histopathological diagnosis. Diffusion-weighted sequences with b values of 0, 500 and 1000 were performed in all cases, and apparent diffusion coefficient maps were automatically generated. The signals of both the cystic and solid components of the ovarian masses were evaluated on T2-weighted and diffusion-weighted images acquired with a b value of 1000. Apparent diffusion coefficient values were measured in all cases. Results With regard to the solid components, hypointensity on both the T2-weighted and diffusion-weighted images has proved to be a reliable indicator of benignancy. In contrast, hyperintensity on both sequences was suggestive of malignancy. Signal intensity of the cystic components and apparent diffusion coefficient values of both components have not proven useful in characterization of the masses. Conclusions Only the definition of the signal intensities on diffusion-weighted images obtained with the use of high b values on the solid component of a complex adnexal mass is useful to characterize an ovarian mass as benign or malignant.
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Affiliation(s)
- Salvatore Cappabianca
- Dipartimento di Internistica Clinica e Sperimentale “F Magrassi, A Lanzara”, Unità di Radiologia, Radioterapia e Medicina Nucleare, Seconda Università di Napoli, Naples, Italy
| | - Francesco Iaselli
- Dipartimento di Internistica Clinica e Sperimentale “F Magrassi, A Lanzara”, Unità di Radiologia, Radioterapia e Medicina Nucleare, Seconda Università di Napoli, Naples, Italy
| | - Alfonso Reginelli
- Dipartimento di Internistica Clinica e Sperimentale “F Magrassi, A Lanzara”, Unità di Radiologia, Radioterapia e Medicina Nucleare, Seconda Università di Napoli, Naples, Italy
| | - Alfredo D'Andrea
- Dipartimento di Internistica Clinica e Sperimentale “F Magrassi, A Lanzara”, Unità di Radiologia, Radioterapia e Medicina Nucleare, Seconda Università di Napoli, Naples, Italy
| | - Fabrizio Urraro
- Dipartimento di Internistica Clinica e Sperimentale “F Magrassi, A Lanzara”, Unità di Radiologia, Radioterapia e Medicina Nucleare, Seconda Università di Napoli, Naples, Italy
| | - Roberto Grassi
- Dipartimento di Internistica Clinica e Sperimentale “F Magrassi, A Lanzara”, Unità di Radiologia, Radioterapia e Medicina Nucleare, Seconda Università di Napoli, Naples, Italy
| | - Antonio Rotondo
- Dipartimento di Internistica Clinica e Sperimentale “F Magrassi, A Lanzara”, Unità di Radiologia, Radioterapia e Medicina Nucleare, Seconda Università di Napoli, Naples, Italy
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Tsuboyama T, Takei O, Okada A, Wada K, Kuriyama K. [3. Routine MRI Examination for the Contribution of the Suitable Treatment 3-3. MRI Diagnosis of Ovarian Masses]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2018; 74:606-612. [PMID: 29925756 DOI: 10.6009/jjrt.2018_jsrt_74.6.606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
| | - Oki Takei
- Department of Radiology, Osaka National Hospital
| | | | - Keiko Wada
- Department of Radiology, Osaka National Hospital
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Kotecha HM, McIntosh LJ, Lo HS, Chen BY, Dupuis CS. What to Expect When They are Expecting: Magnetic Resonance Imaging of the Acute Abdomen and Pelvis in Pregnancy. Curr Probl Diagn Radiol 2017; 46:423-431. [DOI: 10.1067/j.cpradiol.2016.12.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 12/11/2016] [Accepted: 12/12/2016] [Indexed: 01/28/2023]
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Nie J, Zhang J, Gao J, Guo L, Zhou H, Hu Y, Zhu C, Li Q, Ma X. Diagnostic role of 18F-FDG PET/MRI in patients with gynecological malignancies of the pelvis: A systematic review and meta-analysis. PLoS One 2017; 12:e0175401. [PMID: 28481958 PMCID: PMC5421770 DOI: 10.1371/journal.pone.0175401] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 03/24/2017] [Indexed: 02/05/2023] Open
Abstract
PURPOSE The aim of this study was to assess the diagnostic performance of 18F-FDG Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) for gynecological cancers of the pelvis, based on a systematic review and meta-analysis of published data. METHODS We performed a comprehensive literature search of Pubmed and Embase for studies that evaluated the diagnosis of 18F-FDG PET/MRI for gynecological malignancies in the pelvis. Quality Assessment for Studies of Diagnostic Accuracy 2 (QUADAS 2) tool was used to access the quality of included studies. After testing heterogeneity of the pooled studies with I^2 and H^2 (calculated using metaan in Stata12.0) we treated the data that extracted and transformation from the studies, based on DerSimonian-Laird method(Random-effects models),then back-transformation them to percentages and plotting to get the pooled sensitivity, specificity, likelihood ratios, and constructed summary receiver operating characteristics (SROC) curve. RESULTS Eventually, 7 studies fulfilled our predefined inclusion criteria were included in our research. On patient-based assessment, the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio of 18F-FDG PET/MRI for diagnosis of gynecological malignancies were 0.95 (95%CI 0.86-0.99), 0.95 (95% CI 0.74-1.00), 7.51 (95% CI 2.29-24.59), 0.12 (95% CI 0.05-0.29) and 116.27 (95% CI 17.07-791.74), respectively. On lesion-based assessment, the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and the summary DOR were 0.89 (95%CI 0.84-0.93), 0.87 (95%CI 0.74-0.95), 6.99 (95%CI 3.30-14.79), 0.12 (95%CI 0.06-0.25) and 55.82 (95%CI 20.91-149.05), respectively. CONCLUSIONS Our meta-analysis indicated that 18F-FDG PET/MRI, combined the advantages of MRI and PET, may be a very promising diagnostic method to assess the primary tumor and nodal staging in patients with gynecological malignancies of the pelvis.
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Affiliation(s)
- Ji Nie
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China
| | - Jing Zhang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, PR China
| | - Jinsheng Gao
- Oncology Department, Yilong County People’s Hospital, Chengdu,PR China
| | - Linghong Guo
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China
| | - Hui Zhou
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China
| | - Yuanyuan Hu
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China
| | - Chenjing Zhu
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China
| | - Qingfang Li
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China
| | - Xuelei Ma
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China
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Hamed S, Kamal R, Sheeba M, El-Toukhy MM, Mansour S. Diffusion-weighted MR imaging and assessment of ovarian carcinomas with vaginal deposit accidentally detected during pregnancy. BJR Case Rep 2017; 3:20150411. [PMID: 30363245 PMCID: PMC6159271 DOI: 10.1259/bjrcr.20150411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Revised: 05/11/2016] [Accepted: 08/12/2016] [Indexed: 11/23/2022] Open
Abstract
Ovarian cancer during pregnancy is a complex situation that endangers the lives of both the pregnant female and the fetus. We present a 40-year-old pregnant female in the third trimester with bilateral undifferentiated ovarian adenocarcinoma and vaginal metastasis. The case was evaluated by ultrasound and MRI supported with diffusion-weighted sequence.
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Meissnitzer M, Meissnitzer T, Forstner R. [Gynecological tumors of the true pelvis: Radiological diagnosis for pelvic tumors made simple]. Radiologe 2016; 55:1117-30; quiz 1131. [PMID: 26610683 DOI: 10.1007/s00117-015-0045-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Tumors of the reproductive organs are among the most common female tumors. Computed tomography (CT) and magnetic resonance imaging (MRI) are used for establishing the differential diagnosis, for staging and increasingly for treatment stratification. Sonography is the first line imaging modality for assessing benign and malignant tumors of the uterus as well as ovarian and adnexal lesions. In sonographically indeterminate masses MRI is used for clarification as it allows not only a prediction of the dignity but also in most cases a specific diagnosis. The MRI examination is also superior to CT in the assessment of tumors resembling benign pelvic lesions. Whereas MRI has become established as the modality of choice for local staging and treatment planning in cancers of the uterine cervix and endometrial cancer, CT is used for staging of ovarian cancer due to the propensity for peritoneal spread outside the pelvis at the time of initial diagnosis.
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Affiliation(s)
- M Meissnitzer
- Universitätsinstitut für Radiologie, Landeskrankenhaus Salzburg, Paracelsus Medizinische Privatuniversität, Müllner Hauptstraße 48, 5020, Salzburg, Österreich
| | - T Meissnitzer
- Universitätsinstitut für Radiologie, Landeskrankenhaus Salzburg, Paracelsus Medizinische Privatuniversität, Müllner Hauptstraße 48, 5020, Salzburg, Österreich
| | - R Forstner
- Universitätsinstitut für Radiologie, Landeskrankenhaus Salzburg, Paracelsus Medizinische Privatuniversität, Müllner Hauptstraße 48, 5020, Salzburg, Österreich.
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Foti PV, Ognibene N, Spadola S, Caltabiano R, Farina R, Palmucci S, Milone P, Ettorre GC. Non-neoplastic diseases of the fallopian tube: MR imaging with emphasis on diffusion-weighted imaging. Insights Imaging 2016; 7:311-27. [PMID: 26992404 PMCID: PMC4877350 DOI: 10.1007/s13244-016-0484-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 02/26/2016] [Accepted: 03/03/2016] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE We illustrate the magnetic resonance imaging (MRI) features of non-neoplastic tubaric conditions. BACKGROUND A variety of pathologic non-neoplastic conditions may affect the fallopian tubes. Knowledge of their imaging appearance is important for correct diagnosis. With recent advances in MRI, along with conventional MR sequences, diffusion-weighted imaging (DWI) sequences are available and may improve lesion characterization by discriminating the nature of the content of the dilated tube. Tubal fluid with low signal intensity on T1-weighted images, high signal intensity on T2-weighted images and no restricted diffusion on DWI is indicative of hydrosalpinx. Content with high signal intensity on T1-weighted images and restricted diffusion on DWI is suggestive of hematosalpinx associated with endometriosis or tubal pregnancy. A dilated tube with variable or heterogeneous signal intensity content on conventional MR sequences and restricted diffusion on DWI may suggest a pyosalpinx or tubo-ovarian abscess. We describe morphological characteristics, MR signal intensity features, enhancement behaviour and possible differential diagnosis of each lesion. CONCLUSION MRI is the method of choice to study adnexal pelvic masses. Qualitative and quantitative functional imaging with DWI can be of help in characterization of tubaric diseases, provided that findings are interpreted in conjunction with those obtained with conventional MRI sequences. TEACHING POINTS • Nondilated fallopian tubes are not usually seen on MR images. • MRI is the method of choice to characterize and localize utero-adnexal masses. • MRI allows characterization of lesions through evaluation of the fluid content's signal intensity. • DWI in conjunction with conventional MRI sequences may improve tissue characterization. • Pelvic inflammatory disease is the most common tubal pathology.
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Affiliation(s)
- Pietro Valerio Foti
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
| | - Noemi Ognibene
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Saveria Spadola
- Department G.F. Ingrassia - Institute of Pathology, University of Catania, Catania, Italy
| | - Rosario Caltabiano
- Department G.F. Ingrassia - Institute of Pathology, University of Catania, Catania, Italy
| | - Renato Farina
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Stefano Palmucci
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Pietro Milone
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Giovanni Carlo Ettorre
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
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Foti PV, Attinà G, Spadola S, Caltabiano R, Farina R, Palmucci S, Zarbo G, Zarbo R, D'Arrigo M, Milone P, Ettorre GC. MR imaging of ovarian masses: classification and differential diagnosis. Insights Imaging 2016; 7:21-41. [PMID: 26671276 PMCID: PMC4729709 DOI: 10.1007/s13244-015-0455-4] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 11/18/2015] [Accepted: 11/27/2015] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE We propose a Magnetic Resonance Imaging (MRI) guided approach to differential diagnosis of ovarian tumours based on morphological appearance. BACKGROUND Characterization of ovarian lesions is of great importance in order to plan adequate therapeutic procedures, and may influence patient's management. Optimal assessment of adnexal masses requires a multidisciplinary approach, based on physical examination, laboratory tests and imaging techniques. Primary ovarian tumours can be classified into three main categories according to tumour origin: epithelial, germ cell and sex cord-stromal tumours. Ovarian neoplasms may be benign, borderline or malignant. Using an imaging-guided approach based on morphological appearance, we classified adnexal masses into four main groups: unilocular cyst, multilocular cyst, cystic and solid, predominantly solid. We describe MR signal intensity features and enhancement behaviour of ovarian lesions using pathologically proven examples from our institution. CONCLUSION MRI is an essential problem-solving tool to determine the site of origin of a pelvic mass, to characterize an adnexal mass, and to detect local invasion. The main advantages of MRI are the high contrast resolution and lack of ionizing radiation exposure. Although different pathological conditions may show similar radiologic manifestations, radiologists should be aware of MRI features of ovarian lesions that may orientate differential diagnosis. TEACHING POINTS • Diagnostic imaging plays a crucial role in detection, characterization and staging of adnexal masses. • Characterization of an ovarian lesion may influence patient's management. • Different pathological conditions may have similar radiologic manifestations. • Non-neoplastic lesions should always be taken into consideration.
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Affiliation(s)
- Pietro Valerio Foti
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
| | - Giancarlo Attinà
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Saveria Spadola
- Department G.F. Ingrassia - Institute of Pathology, University of Catania, Catania, Italy
| | - Rosario Caltabiano
- Department G.F. Ingrassia - Institute of Pathology, University of Catania, Catania, Italy
| | - Renato Farina
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Stefano Palmucci
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Giuseppe Zarbo
- Department of General Surgery and Medical-Surgical Specialties - Institute of Obstetrics and Ginecology, University of Catania, Catania, Italy
| | - Rosario Zarbo
- Department of General Surgery and Medical-Surgical Specialties - Institute of Obstetrics and Ginecology, University of Catania, Catania, Italy
| | - Maria D'Arrigo
- Pathology Unit, University Hospital "Policlinico-Vittorio Emanuele", Catania, Italy
| | - Pietro Milone
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
| | - Giovanni Carlo Ettorre
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy
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Yin B, Li W, Cui Y, Chu C, Ding M, Chen J, Zhang P, Wu X. Value of diffusion-weighted imaging combined with conventional magnetic resonance imaging in the diagnosis of thecomas/fibrothecomas and their differential diagnosis with malignant pelvic solid tumors. World J Surg Oncol 2016; 14:5. [PMID: 26744173 PMCID: PMC4705762 DOI: 10.1186/s12957-015-0760-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Accepted: 12/30/2015] [Indexed: 01/28/2023] Open
Abstract
Background Our study aims to determine the value of diffusion-weighted imaging (DWI) combined with conventional magnetic resonance imaging (MRI) in the diagnosis of thecomas/fibrothecomas and their differential diagnosis with malignant pelvic solid tumors. Methods In total, 36 thecomas/fibrothecomas and 40 malignant pelvic solid tumors were included in our study. All patients underwent 1.5 T conventional MRI and DWI examinations except one patient with a fibrothecoma in whom DWI examination was not performed. The clinical features and characteristics of conventional MRI and DWI of these two groups were analyzed. Apparent diffusion coefficient (ADC) values were measured and compared between groups. Univariate analysis, multivariate logistic regression analysis, and the receiver operating characteristic curve were used for statistical analysis. Results All the thecomas/fibrothecomas showed isointensity on T1 weighted imaging (T1WI) and 77.8 % (28/36) lesions showed hypo- to isointensity on T2 weighted imaging (T2WI). After administration of contrast medium, 94.4 % (34/36) tumors appeared as minor to mild enhancement. On DWI, they showed a diversity of low to very high signal intensity. All malignant pelvic masses manifested as hyperintensity on T2WI and 87.5 % (35/40) tumors showed very high signal (grade 3) on DWI. Higher area under the curve (AUC) and specificity could be achieved by using the lowest ADC value than the mean ADC value. Multivariate logistic regression analysis showed that shape, signal intensity on T2WI, capsule, and the lowest ADC value were the important indicators in discriminating thecomas/fibrothecomas from malignant pelvic solid tumors. Conclusions The combination of DWI and conventional MRI is of great value in the diagnosis of thecomas/fibrothecomas and their differential diagnosis with malignant pelvic solid tumors.
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Affiliation(s)
- Bing Yin
- Department of Radiology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Wenhua Li
- Department of Radiology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Yanfen Cui
- Department of Radiology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Caiting Chu
- Department of Radiology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Ming Ding
- Department of Radiology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Jian Chen
- Department of Radiology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Ping Zhang
- Department of Obstetrics and Gynecology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Xiangru Wu
- Department of Pathology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
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Choi JI, Park SB, Han BH, Kim YH, Lee YH, Park HJ, Lee ES. Imaging features of complex solid and multicystic ovarian lesions: proposed algorithm for differential diagnosis. Clin Imaging 2016; 40:46-56. [PMID: 26277385 DOI: 10.1016/j.clinimag.2015.06.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 05/26/2015] [Accepted: 06/15/2015] [Indexed: 12/12/2022]
Abstract
Complex solid and multicystic ovarian lesions are broad-spectrum diseases, ranging from benign to malignant. This article describes the broad-spectrum and imaging features of complex solid and multicystic ovarian lesions and illustrates an algorithmic approach to such lesions, focusing on the ultrasonography and magnetic resonance imaging features that allow one to hone the differential diagnosis. Multimodality imaging workup plays an important role in the characterization and differential diagnosis of these diseases. Also, knowledge of the clinical setting and imaging features for the spectrum of complex solid and multicystic ovarian lesions can lead to appropriate management.
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Affiliation(s)
- Ji In Choi
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 156-755, Korea
| | - Sung Bin Park
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 156-755, Korea.
| | - Byoung Hee Han
- Department of Radiology, Cheil General Hospital & Women's Healthcare Center, Dankook University College of Medicine, 17, Seoae-ro 1-gil, Jung-gu, Seoul, 100-380, Korea
| | - Young Hwa Kim
- Department of Radiology, Cheil General Hospital & Women's Healthcare Center, Dankook University College of Medicine, 17, Seoae-ro 1-gil, Jung-gu, Seoul, 100-380, Korea
| | - Young Ho Lee
- Department of Radiology, Cheil General Hospital & Women's Healthcare Center, Dankook University College of Medicine, 17, Seoae-ro 1-gil, Jung-gu, Seoul, 100-380, Korea
| | - Hyun Jeong Park
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 156-755, Korea
| | - Eun Sun Lee
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 156-755, Korea
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Diffusion-weighted magnetic resonance imaging in the assessment of ovarian masses with suspicious features: Strengths and challenges. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2015. [DOI: 10.1016/j.ejrnm.2015.06.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Laurent PE, Thomassin-Piana J, Jalaguier-Coudray A. Mucin-producing tumors of the ovary: MR imaging appearance. Diagn Interv Imaging 2015; 96:1125-32. [DOI: 10.1016/j.diii.2014.11.034] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Revised: 11/25/2014] [Accepted: 11/26/2014] [Indexed: 11/29/2022]
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Zhang Z, Wu Y, Gao J. CT diagnosis in the thecoma-fibroma group of the ovarian stromal tumors. Cell Biochem Biophys 2015; 71:937-43. [PMID: 25315640 DOI: 10.1007/s12013-014-0288-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The aim of this study was to investigate characteristic CT manifestations of the group of ovarian thecoma-fibroma. 24 patients (26 lesions) presenting with the ovarian thecoma-fibroma were analyzed retrospectively, and the diagnosis were confirmed by pathology after surgery. Our findings included: 22 patients were unilateral, while 2 were bilateral; 12 lesions were located in the right side of ovary, while 14 lesions were in the left side. Of the 26 lesions, there were ovarian thecoma (16 lesions), fibrothecoma (6 lesions), and fibroma (4 lesions). The largest diameters of tumor ranged from 37 to 231 mm with the mean value of 100 ± 44.29 mm. 14 patients were accompanied by ascites. All the tumors had well-defined borders. The shape of 22 lesions appeared round or oval, and 4 lesions were irregular. The tumors were solid in 19 lesions, cystic in 2 lesions, and mixed in 5 lesions. Most of the tumors were of heterogeneous density. There were no (20 lesions) or slight enhancement (6 lesions) after injection of the contrast medium. CT values of plain scan, arterial phase and venous among three groups had no significant difference. The enhancement were in the range of 0-5 HU in 10 lesions, and 6-17 HU in 16 lesions. In conclusion, the characteristic CT manifestations of the group of ovarian thecoma-fibroma were: often unilateral solid mass with the shape of oval and well defined border; no enhancement or slight enhancement; accompanied by small amount of ascites.
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Affiliation(s)
- Zhixu Zhang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, People's Republic of China
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Berthé A, Diop MM, Bentefouet L, Ba PA, Faye FA, Touré PS, Thiam M, Gueye L, Diop BM, Ka MM. [Ascites and fever in women: do not rule out Krukenberg tumor]. Pan Afr Med J 2015; 21:269. [PMID: 26587120 PMCID: PMC4633835 DOI: 10.11604/pamj.2015.21.269.7108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 06/07/2015] [Indexed: 12/29/2022] Open
Abstract
Les tumeurs de Krukenberg (TK) se définissent comme des métastases ovariennes d'un cancer, le plus souvent digestif. Elles représentent 5 à 15% des tumeurs malignes ovariennes. Notre objectif était de décrire les caractéristiques épidémiologiques, diagnostiques, thérapeutiques et évolutives. Nous rapportons deux observations de tumeur de Krukenberg découvertes à l'occasion de l'exploration d'une ascite fébrile.Il s'agit de deux patientes multipares âgées respectivement de 32 ans et 50 ans. Les signes d'appel étaient essentiellement digestifs. La découverte de ces métastases ovariennes était survenue à distance des foyers primitifs. L'atteinte des ovaires était bilatérale dans le premier cas et unilatérale droite dans le second cas. Le diagnostic est apporté par la tomodensitométrie abdominopelvienne dans les deux cas. La fibroscopie œsogastroduodénale avait permis de retrouver le foyer primitif respectivement sous forme d'un processus bourgeonnant et d'un ulcère en position antrale avec des stigmates d'hémorragies. L'examen anatomopathologique des biopsies réalisées mettait en évidence un adénocarcinome tubuleux moyennement différencié de l'estomac avec composante mucineuse dans la première observation et un adénocarcinome de type intestinal moyennement différencié dans la seconde. Le traitement chirurgical confirme le diagnostic histologique. Dans notre série, le traitement n'a pu être que symptomatique en raison de l'existence constante d'une carcinose péritonéale et de l'altération profonde de l’état général. Les deux patientes ont été confiées à l'institut de cancérologie pour une chimiothérapie palliative. La première est décédée 1 mois après. La tumeur de Krukenberg est une maladie rare. Le diagnostic est facilité par la radiologie et confirmé par l'histologie. Son pronostic demeure encore très sombre. Le seul espoir réside dans les mesures préventives.
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Affiliation(s)
- Adama Berthé
- Université de Thiès - UFR des Sciences de la Santé Ex l0 Thiès, Sénégal ; Service de Médecine Interne Centre Hospitalier Régional de Thiès, 1 Avenue Malick SY Prolongée, Thiès Sénégal
| | - Madoky Magatte Diop
- Université de Thiès - UFR des Sciences de la Santé Ex l0 Thiès, Sénégal ; Service de Médecine Interne Centre Hospitalier Régional de Thiès, 1 Avenue Malick SY Prolongée, Thiès Sénégal
| | - Linda Bentefouet
- Université de Thiès - UFR des Sciences de la Santé Ex l0 Thiès, Sénégal
| | - Papa Abdoulaye Ba
- Université de Thiès - UFR des Sciences de la Santé Ex l0 Thiès, Sénégal ; Service de Chirurgie Générale Centre Hospitalier Régional de Thiès, 1 Avenue Malick SY Prolongée, Thiès,Sénégal
| | - Fulgence Abdou Faye
- Service de Médecine Interne Centre Hospitalier Régional de Thiès, 1 Avenue Malick SY Prolongée, Thiès Sénégal
| | | | - Marietou Thiam
- Université de Thiès - UFR des Sciences de la Santé Ex l0 Thiès, Sénégal ; Service de Gynécologie-Obstétrique Centre Hospitalier Régional de Thiès, 1 Avenue Malick SY Prolongée, Thiès, Sénégal
| | - Lamine Gueye
- Service de Gynécologie-Obstétrique Centre Hospitalier Régional de Thiès, 1 Avenue Malick SY Prolongée, Thiès, Sénégal
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Mansour SM, Saraya S, El-Faissal Y. Semi-quantitative contrast-enhanced MR analysis of indeterminate ovarian tumours: when to say malignancy? Br J Radiol 2015; 88:20150099. [PMID: 26083260 DOI: 10.1259/bjr.20150099] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To evaluate the ability of dynamic post-contrast sequence to specify indeterminate ovarian masses with inconclusive MR features of malignancy. Since management is dramatically different, special focus on the ability to differentiate borderline from invasive malignancy was considered. METHODS 150 ovarian masses were detected by pelvic ultrasound in 124 patients. Masses had been considered for dynamic post-contrast MRI. We expressed the kinetic parameters (i.e. enhancement amplitude, time peak of maximal uptake and maximal slope) in the form of maximum relative enhancement percentage (MRE%), time of maximal peak of contrast uptake (Tmax) and slope enhancement ratio (SER) curves. Histological findings were the gold standard of reference. RESULTS Malignant ovarian masses showed higher MRE% than benign and borderline masses (p < 0.001). Tmax was shorter for malignant than benign (p < 0.01) and borderline (p < 0.001) ovarian masses. SER curves were the most suggestive of malignancy with a specificity and accuracy of 85.7% and 84.7%, respectively. CONCLUSION Dynamic contrast-enhanced MRI could be a specific sequence to differentiate ovarian masses with indeterminate MR morphology with a special discrimination for low potential from invasive ovarian malignancy. ADVANCES IN KNOWLEDGE The study evaluated the diagnostic performance of the individual parameters of dynamic post-contrast MR sequence in evaluating ovarian masses. Management divert between benign, borderline and invasive malignant masses; our work presented a cut-off value for the peak of contrast uptake of 120%, which helped in the differentiation between benign and malignant tumours; the SER curves with Type III (early washout) pattern that was indicative of invasive malignancy was more specific than borderline malignancy.
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Affiliation(s)
- S M Mansour
- 1 Radiology Department (Women's Imaging Unit), Faculty of Medicine, Cairo University, Kasr El Aini Hospital, Cairo, Egypt
| | - S Saraya
- 2 Radiology Department, Faculty of Medicine, Cairo University, Egypt
| | - Y El-Faissal
- 3 Obstetrics and Gynaecology Department, Faculty of Medicine, Cairo University, Egypt
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Jalaguier-Coudray A, Jacquemier J, Villard-Mahjoub R, Delarbre B, Thomassin-Piana J. Pourquoi la macroscopie est-elle essentielle pour comprendre et analyser les tumeurs ovariennes ? IMAGERIE DE LA FEMME 2015. [DOI: 10.1016/j.femme.2015.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Chung BM, Park SB, Lee JB, Park HJ, Kim YS, Oh YJ. Magnetic resonance imaging features of ovarian fibroma, fibrothecoma, and thecoma. ABDOMINAL IMAGING 2015; 40:1263-1272. [PMID: 25273949 DOI: 10.1007/s00261-014-0257-z] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To retrospectively evaluate the conventional and functional (diffusion- or perfusion-weighted) magnetic resonance (MR) imaging features of ovarian fibroma, fibrothecoma, and thecoma. MATERIALS AND METHODS Histologically proven ovarian fibromas (n = 19), fibrothecomas (n = 7), and thecomas (n = 2) were reviewed (26 patients). The morphologic and signal intensity (SI) characteristics on conventional MR imaging (n = 28, all cases) were analyzed. The b 1000 signal intensity on diffusion-weighted image (DWI) (n = 22) and the time-to-signal intensity curve on perfusion-weighted image (PWI) (n = 7) were also analyzed. The presence and shape of the ipsilateral ovarian tissue surrounding the lesions were evaluated on T2-weighted image. RESULTS Twenty-two cases (79%) were predominantly solid tumor. Majority of the detected lesions exhibited the characteristic homogeneous low SI on T1- (24/28, 86%) and T2- (19/28, 68%) weighted image. Conversely, a number of lesions exhibited high SI (9/28, 32%) on T2-weighted image. Most lesions presented with a detectable ipsilateral ovary on T2-weighted image (24/28, 86%). Tumors larger than 6 cm more likely showed atypical morphology (mixed solid and cystic, cystic), atypical SI (high on T1- and T2-weighted image), and large amount ascites. Larger tumor group (>6 cm) was more likely diagnosed as fibrothecoma or thecoma than fibroma by pathology. On DWI, 16 lesions showed low b 1000 signal intensity (16/22, 73%). On PWI, all lesions showed curve type 1 or 2 (7/7, 100%), which tends to characterize benign lesions. All (16/16, 100%) pre-menopausal women had a detectable ipsilateral ovary, and six (60%) out of 10 post-menopausal women had a detectable ipsilateral ovary (p < 0.05). CONCLUSIONS Combining conventional morphologic and signal intensity characteristics with the findings from DWI or PWI might help differentiate ovarian fibroma, fibrothecoma, and thecoma from ovarian malignancy, although further prospective larger scale study using DWI and PWI is needed.
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Affiliation(s)
- Bo Mi Chung
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-Gu, Seoul, 156-755, Korea
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Shaaban AM, Rezvani M, Elsayes KM, Baskin H, Mourad A, Foster BR, Jarboe EA, Menias CO. Ovarian malignant germ cell tumors: cellular classification and clinical and imaging features. Radiographics 2015; 34:777-801. [PMID: 24819795 DOI: 10.1148/rg.343130067] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Ovarian malignant germ cell tumors (OMGCTs) are heterogeneous tumors that are derived from the primitive germ cells of the embryonic gonad. OMGCTs are rare, accounting for about 2.6% of all ovarian malignancies, and typically manifest in adolescence, usually with abdominal pain, a palpable mass, and elevated serum tumor marker levels, which may serve as an adjunct in the initial diagnosis, monitoring during therapy, and posttreatment surveillance. Dysgerminoma, the most common malignant germ cell tumor, usually manifests as a solid mass. Immature teratomas manifest as a solid mass with scattered foci of fat and calcifications. Yolk sac tumors usually manifest as a mixed solid and cystic mass. Capsular rupture or the bright dot sign, a result of increased vascularity and the formation of small vascular aneurysms, may be present. Embryonal carcinomas and polyembryomas rarely manifest in a pure form and are more commonly part of a mixed germ cell tumor. Some OMGCTs have characteristic features that allow a diagnosis to be confidently made, whereas others have nonspecific features, which make them difficult to diagnose. However, imaging features, the patient's age at presentation, and tumor markers may help establish a reasonable differential diagnosis. Malignant ovarian germ cell tumors spread in the same manner as epithelial ovarian neoplasms but are more likely to involve regional lymph nodes. Preoperative imaging may depict local extension, peritoneal disease, and distant metastases. Suspicious areas may be sampled during surgery. Because OMGCTs are almost always unilateral and are chemosensitive, fertility-sparing surgery is the standard of care.
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Affiliation(s)
- Akram M Shaaban
- From the Department of Diagnostic Radiology (A.M.S., M.R.) and Department of Radiology, Primary Children's Medical Center (H.B.), University of Utah, 30 N 1900 E, Room 1A71, Salt Lake City, UT 84132; Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Diagnostic Radiology, VA Pittsburgh Healthcare System, Pittsburgh, Pa (A.M.); Department of Diagnostic Radiology, Oregon Health & Science University, Portland, Ore (B.R.F.); Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah (E.A.J.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
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