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Liu G, Gao YJ, Li XB, Huan Y, Chen J, Deng YM. Quantitative evaluation of pancreatic neuroendocrine tumors utilizing dual-source CT perfusion imaging. BMC Med Imaging 2024; 24:325. [PMID: 39623298 PMCID: PMC11613872 DOI: 10.1186/s12880-024-01511-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 11/21/2024] [Indexed: 12/06/2024] Open
Abstract
OBJECTIVE We aimed to quantitatively analyze the perfusion characteristics of pancreatic neuroendocrine tumors (pNETs) utilizing dual-source CT imaging. METHODS Dual-source CT perfusion scans were obtained from patients with pNETs confirmed by surgical or biopsy pathology. Perfusion parameters, including blood flow (BF), blood volume (BV), capillary permeability surface (PS), mean transit time (MTT), contrast transit time to the start (TTS), and contrast transit time to the peak (TTP), were statistically analyzed and compared with nearby healthy tissue. Time density curves (TDCs) were plotted to further understand the dynamic enhancement characteristics of the tumors. Additionally, receiver operating characteristic curves (ROCs) were generated to assess their diagnostic value. RESULTS Twenty patients with pNETs, containing 26 lesions, were enrolled in the study, including 6 males with 8 lesions and 14 females with 18 lesions. The average values of BF, BV, PS, MTT, TTP and TTS for the 26 lesions (336.61 ± 216.72 mL/100mL/min, 41.96 ± 16.99 mL/100mL, 32.90 ± 11.91 mL/100 mL/min, 9.44 ± 4.40 s, 19.14 ± 5.6 s, 2.57 ± 1.6 s) were different from those of the adjacent normal pancreatic tissue (44.32 ± 55.35 mL/100mL/min, 28.64 ± 7.95 mL/100mL, 26.69 ± 14.88 mL/100 mL/min, 12.89 ± 3.69 s, 20.33 ± 5.18 s, 2.69 ± 1.71 s). However, there were no statistical differences in PS and TTS between the lesions and the adjacent normal pancreatic tissue (P > 0.05). The areas under the ROC curve for BF, BV, and PS were all greater than 0.5, whereas the areas under the ROC curve for MTT, TTP, and TTS were all less than 0.5. CONCLUSION CT perfusion parameters such as BF, BV, MTT, and TTP can distinguish pNETs from healthy tissue. The area under the ROC curve for BF, BV, and PS demonstrates substantial differentiating power for diagnosing pNET lesions.
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Affiliation(s)
- Ge Liu
- Department of Radiology, Xi'an No. 3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shaanxi, 710018, China
| | - Yan-Jun Gao
- Department of Radiology, Xi'an No. 3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shaanxi, 710018, China
| | - Xiao-Bing Li
- Department of Peripheral Vascular Medicine, Xi'an Honghui Hospital, Xi'an, Shaanxi, 710018, China
| | - Yi Huan
- Department of Radiology, The First Hospital of Air Force Medical University, Xi'an, Shaanxi, 710032, China
| | - Jian Chen
- Department of Peripheral Vascular Medicine, Xi'an Honghui Hospital, Xi'an, Shaanxi, 710018, China
| | - Yan-Meng Deng
- Center of Radiology, Shaanxi Traditional Chinese Medicine Hospital, Xi'an, Shaanxi, 710003, China.
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Perik T, Alves N, Hermans JJ, Huisman H. Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma. Cancers (Basel) 2024; 16:577. [PMID: 38339328 PMCID: PMC10854854 DOI: 10.3390/cancers16030577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/20/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
CT perfusion (CTP) analysis is difficult to implement in clinical practice. Therefore, we investigated a novel semi-automated CTP AI biomarker and applied it to identify vascular phenotypes of pancreatic ductal adenocarcinoma (PDAC) and evaluate their association with overall survival (OS). METHODS From January 2018 to November 2022, 107 PDAC patients were prospectively included, who needed to undergo CTP and a diagnostic contrast-enhanced CT (CECT). We developed a semi-automated CTP AI biomarker, through a process that involved deformable image registration, a deep learning segmentation model of tumor and pancreas parenchyma volume, and a trilinear non-parametric CTP curve model to extract the enhancement slope and peak enhancement in segmented tumors and pancreas. The biomarker was validated in terms of its use to predict vascular phenotypes and their association with OS. A receiver operating characteristic (ROC) analysis with five-fold cross-validation was performed. OS was assessed with Kaplan-Meier curves. Differences between phenotypes were tested using the Mann-Whitney U test. RESULTS The final analysis included 92 patients, in whom 20 tumors (21%) were visually isovascular. The AI biomarker effectively discriminated tumor types, and isovascular tumors showed higher enhancement slopes (2.9 Hounsfield unit HU/s vs. 2.0 HU/s, p < 0.001) and peak enhancement (70 HU vs. 47 HU, p < 0.001); the AUC was 0.86. The AI biomarker's vascular phenotype significantly differed in OS (p < 0.01). CONCLUSIONS The AI biomarker offers a promising tool for robust CTP analysis. In PDAC, it can distinguish vascular phenotypes with significant OS prognostication.
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Affiliation(s)
- Tom Perik
- Department of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands (J.J.H.); (H.H.)
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Skornitzke S, Vats N, Mayer P, Kauczor HU, Stiller W. Pancreatic CT perfusion: quantitative meta-analysis of disease discrimination, protocol development, and effect of CT parameters. Insights Imaging 2023; 14:132. [PMID: 37477754 PMCID: PMC10361925 DOI: 10.1186/s13244-023-01471-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/19/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND This study provides a quantitative meta-analysis of pancreatic CT perfusion studies, investigating choice of study parameters, ability for quantitative discrimination of pancreatic diseases, and influence of acquisition and reconstruction parameters on reported results. METHODS Based on a PubMed search with key terms 'pancreas' or 'pancreatic,' 'dynamic' or 'perfusion,' and 'computed tomography' or 'CT,' 491 articles published between 1982 and 2020 were screened for inclusion in the study. Inclusion criteria were: reported original data, human subjects, five or more datasets, measurements of pancreas or pancreatic pathologies, and reported quantitative perfusion parameters. Study parameters and reported quantitative measurements were extracted, and heterogeneity of study parameters and trends over time are analyzed. Pooled data were tested with weighted ANOVA and ANCOVA models for differences in perfusion results between normal pancreas, pancreatitis, PDAC (pancreatic ductal adenocarcinoma), and non-PDAC (e.g., neuroendocrine tumors, insulinomas) and based on study parameters. RESULTS Reported acquisition parameters were heterogeneous, except for contrast agent amount and injection rate. Tube potential and slice thickness decreased, whereas tube current time product and scan coverage increased over time. Blood flow and blood volume showed significant differences between pathologies (both p < 0.001), unlike permeability (p = 0.11). Study parameters showed a significant effect on reported quantitative measurements (p < 0.05). CONCLUSIONS Significant differences in perfusion measurements between pathologies could be shown for pooled data despite observed heterogeneity in study parameters. Statistical analysis indicates most influential parameters for future optimization and standardization of acquisition protocols. CRITICAL RELEVANCE STATEMENT Quantitative CT perfusion enables differentiation of pancreatic pathologies despite the heterogeneity of study parameters in current clinical practice.
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Affiliation(s)
- Stephan Skornitzke
- Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany
| | - Neha Vats
- Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany
| | - Philipp Mayer
- Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany
| | - Wolfram Stiller
- Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
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CT perfusion as a potential biomarker for pancreatic ductal adenocarcinoma during routine staging and restaging. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:3770-3781. [PMID: 35972550 DOI: 10.1007/s00261-022-03638-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE To evaluate the significance of CT perfusion parameters predicting response to neoadjuvant therapy in patients with pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS Seventy patients with PDAC prospectively had CT perfusion acquisition incorporated into baseline multiphase staging CT. Twenty-eight who were naïve to therapy were retained for further investigation. Perfusion was performed 5-42.5 s after contrast, followed by parenchymal and portal venous phases. Blood flow (BF), blood volume (BV), and permeability surface area product (PS) were calculated using deconvolution algorithms. Patients were categorized as responders or non-responders per RECIST 1.1. Perfusion variables with AUC ≥ 0.70 in differentiating responders from non-responders were retained. Logistic regression was used to assess associations between baseline perfusion variables and response. RESULTS 18 of 28 patients showed favorable response to therapy. Baseline heterogeneity variables in tumor max ROI were higher in non-responders than responders [median BF coefficient of variation (CV) 0.91 vs. 0.51 respectively, odds ratio (OR) 6.8 per one standard deviation (1-SD) increase, P = 0.047; median PS CV 1.6 vs. 0.68, OR 3.9 per 1-SD increase, P = 0.047; and median BV CV 0.75 vs. 0.54, OR = 4.0 per 1-SD increase, P = 0.047]. Baseline BV mean in tumor center was lower in non-responders than responders (median BV mean: 0.74 vs. 2.9 ml/100 g respectively, OR 0.28 per 1-SD increase, P = 0.047). CONCLUSION For patients with PDAC receiving neoadjuvant therapy, lower and more heterogeneous perfusion parameters correlated with an unfavorable response to therapy. Such quantitative information can be acquired utilizing a comprehensive protocol interleaving perfusion CT acquisition with standard of care multiphase CT scans using a single contrast injection, which could be used to identify surgical candidates and predict outcome.
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Perik TH, van Genugten EAJ, Aarntzen EHJG, Smit EJ, Huisman HJ, Hermans JJ. Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review. Abdom Radiol (NY) 2022; 47:3101-3117. [PMID: 34223961 PMCID: PMC9388409 DOI: 10.1007/s00261-021-03190-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/18/2021] [Accepted: 06/21/2021] [Indexed: 01/18/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related death with a 5-year survival rate of 10%. Quantitative CT perfusion (CTP) can provide additional diagnostic information compared to the limited accuracy of the current standard, contrast-enhanced CT (CECT). This systematic review evaluates CTP for diagnosis, grading, and treatment assessment of PDAC. The secondary goal is to provide an overview of scan protocols and perfusion models used for CTP in PDAC. The search strategy combined synonyms for 'CTP' and 'PDAC.' Pubmed, Embase, and Web of Science were systematically searched from January 2000 to December 2020 for studies using CTP to evaluate PDAC. The risk of bias was assessed using QUADAS-2. 607 abstracts were screened, of which 29 were selected for full-text eligibility. 21 studies were included in the final analysis with a total of 760 patients. All studies comparing PDAC with non-tumorous parenchyma found significant CTP-based differences in blood flow (BF) and blood volume (BV). Two studies found significant differences between pathological grades. Two other studies showed that BF could predict neoadjuvant treatment response. A wide variety in kinetic models and acquisition protocol was found among included studies. Quantitative CTP shows a potential benefit in PDAC diagnosis and can serve as a tool for pathological grading and treatment assessment; however, clinical evidence is still limited. To improve clinical use, standardized acquisition and reconstruction parameters are necessary for interchangeability of the perfusion parameters.
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Affiliation(s)
- T H Perik
- Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
| | - E A J van Genugten
- Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - E H J G Aarntzen
- Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - E J Smit
- Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - H J Huisman
- Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - J J Hermans
- Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
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Liu W, Yin B, Liang ZH, Yu Y, Lu N. Computed tomography perfusion imaging evaluation of angiogenesis in patients with pancreatic adenocarcinoma. World J Clin Cases 2022; 10:2393-2403. [PMID: 35434057 PMCID: PMC8968604 DOI: 10.12998/wjcc.v10.i8.2393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 10/30/2021] [Accepted: 02/16/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Pancreatic adenocarcinoma is one of the most common malignant tumors of the digestive system. More than 80% of patients with pancreatic adenocarcinoma are not diagnosed until late stage and have distant or local metastases.
AIM To investigate the value of computed tomography (CT) perfusion imaging in the evaluation of angiogenesis in pancreatic adenocarcinoma patients.
METHODS This is a retrospective cohort study. Patients with pancreatic adenocarcinoma and volunteers without pancreatic diseases underwent CT perfusion imaging from December 2014 to August 2017 in Huashan Hospital, Fudan University Shanghai, China.
RESULTS A total number of 35 pancreatic adenocarcinoma patients and 33 volunteers were enrolled. The relative blood flow (rBF), and relative blood volume (rBV) were significantly lower in patients with pancreatic adenocarcinoma than in the control group (P < 0.05). Conversely, the relative permeability in patients with pancreatic adenocarcinoma was significantly higher than that in controls (P < 0.05). In addition, rBF, rBV, and the vascular maturity index (VMI) were significantly lower in grade III-IV pancreatic adenocarcinoma than in grade I-II pancreatic adenocarcinoma (P < 0.05). Vascular endothelial growth factor (VEGF), CD105-MVD, CD34-MVD, and angiogenesis rate (AR) were significantly higher in grade III-IV pancreatic adenocarcinoma than in grade I-II pancreatic adenocarcinoma (P < 0.05). Significant correlations between rBF and VEGF, CD105-MVD, AR, and VMI (P < 0.01) were observed. Moreover, the levels of rBV were statistically significantly correlated with those of VEGF, CD105-MVD, CD34-MVD, and VMI (P < 0.01).
CONCLUSION Perfusion CT imaging may be an appropriate approach for quantitative assessment of tumor angiogenesis in pancreatic adenocarcinoma.
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Affiliation(s)
- Wen Liu
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, China
| | - Bo Yin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200000, China
- Department of Radiology, Huashan Hospital North, Fudan University, Shanghai 200000, China
| | - Zong-Hui Liang
- Department of Radiology, Shanghai Jing’an District Central Hospital, Huashan Hospital Jing’an Branch, Fudan University, Shanghai 200000, China
| | - Yang Yu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200000, China
| | - Na Lu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200000, China
- Department of Radiology, Huashan Hospital North, Fudan University, Shanghai 200000, China
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Garcia TS, Engelholm JL, Vouche M, Leitão CB. Decrease in Pancreatic Perfusion of Patients with Type 2 Diabetes Mellitus Detected by Perfusion Computed Tomography. J Clin Imaging Sci 2022; 11:50. [PMID: 35003832 PMCID: PMC8730536 DOI: 10.25259/jcis_72_2021] [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: 04/09/2021] [Accepted: 09/04/2021] [Indexed: 11/25/2022] Open
Abstract
Objectives: The objectives of the study was to compare pancreatic perfusion by computed tomography in type 2 diabetes and non-diabetic subjects. Material and Methods: In this case–control study, 17 patients with type 2 diabetes and 22 non-diabetic controls were examined with a dynamic 192-slices perfusion computed tomography for estimating pancreatic perfusion parameters. Results: Thirty-nine patients were included (22 with Type 2 diabetes mellitus [T2DM]), with a mean age of 64 years. There were significant differences in some pancreatic perfusion parameters in patients with and without type 2 diabetes. Blood volume (BV) was lower in pancreatic head (with T2DM: 14.0 ± 3.4 vs. without T2DM: 16.1 ± 2.4 mL/100 mL; P = 0.033), pancreatic tail (with: 14.4 ± 3.6 vs. without: 16.8 ± 2.5 mL/100 mL; P = 0.023), and in whole pancreas (with: 14.2 ± 3.2 vs. without: 16.2 ± 2.5 mL/100 mL; P = 0.042). Similar behavior was observed with mean transit time (MTT) in pancreatic head (with: 7.0 ± 1.0 vs. without: 7.9 ± 1.2 s; P = 0.018), pancreatic tail (with: 6.6 ± 1.3 vs. without: 7.7 ± 0.9 s; P = 0.005), and in whole pancreas (with: 6.8 ± 1.0 vs. without: 7.7 ± 0.9 s; P = 0.016). BV in head, tail, and whole pancreas had negative correlations with age (head r: –0.352, P = 0.032; tail r: –0.421, P = 0.031; whole pancreas r: –0.439, P = 0.007), and fasting plasma glucose (head r: –0.360, P = 0.031; tail r: –0.483, P = 0.003; whole pancreas r: –0.447, P = 0.006). In a multivariate linear regression model, HbA1c was independently associated with decrease in BV in whole pancreas (β: –0.884; CI95%: –1.750 to –0.017; P = 0.046). Conclusion: Pancreatic BV and MTT were significantly lower in patients with type 2 diabetes. BV was decreased with older age and poorer glycemic control.
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Affiliation(s)
- Tiago Severo Garcia
- Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Michaël Vouche
- Department of Radiology, Institute Jules Bordet, Brussels, Belgium
| | - Cristiane Bauermann Leitão
- Department of Endocrinology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
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Zhu M, Zhang C, Yan J, Sun J, Zhao X, Zhang L, Yin L. Accuracy of quantitative diffusion-weighted imaging for differentiating benign and malignant pancreatic lesions: a systematic review and meta-analysis. Eur Radiol 2021; 31:7746-7759. [PMID: 33847811 DOI: 10.1007/s00330-021-07880-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 02/19/2021] [Accepted: 03/12/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND A variety of imaging techniques can be used to evaluate diffusion characteristics to differentiate malignant and benign pancreatic lesions. The diagnostic performance of diffusion parameters has not been systematic assessed. PURPOSE We aimed to investigate the diagnostic efficacy of quantitative diffusion-weighted imaging (DWI) for pancreatic lesions. METHODS A literature search was conducted using the PubMed, Embase, and Cochrane Library databases for studies from inception to March 30, 2020, which involves the quantitative diagnostic performance of diffusion-weighted imaging (DWI) and intravoxel incoherent motion (IVIM) in the pancreas. Studies were reviewed according to inclusion and exclusion criteria. The quality of articles was evaluated by the Quality Assessment of Diagnostic Accuracy Studies-2 (QUATAS-2). A bivariate random-effects model was used to evaluate pooled sensitivities and specificities. Univariable meta-regression analysis was used to test the effects of factors that contributed to the heterogeneity. RESULTS A total of 31 studies involving 1558 patients were ultimately eligible for data extraction. The lowest heterogeneity was found in specificity of perfusion fraction (f) with the I2 value was 17.97% and Cochran p value was 0.28. However, high heterogeneities were found for the other parameters (all I2 > 50%). There was no publication bias found in funnel plot (p = 0.30) for the apparent diffusion coefficient (ADC) parameter. The pooled sensitivities for ADC, f, pure diffusion coefficient (D), and pseudo diffusivity coefficient (D*) were 83%, 81%, 76%, and 84%, respectively. The pooled specificities for ADC, f, D, and D* were 87%, 83%, 69%, and 81% respectively. The areas under the curves for ADC, f, D, and D* were 0.92, 0.87, 0.79, and 0.87 respectively. CONCLUSION Quantitative DWI and IVIM have a good diagnostic performance for differentiating malignant and benign pancreatic lesions. KEY POINTS • IVIM has high sensitivity and specificity (84% and 83%, respectively) for differential diagnosis of pancreatic lesions, which is comparable to that of the ADC (83% and 87%, respectively). • The ADC has an excellent diagnostic performance for differentiating malignant from benign IPMNs (sensitivity, 0.83; specificity, 0.92); the f has the best diagnostic performance for differentiating pancreatic carcinoma from PNET (sensitivity, 0.85; specificity, 0.85). • For the ADC, using a maximal b value < 800 s/mm2 has a higher diagnostic accuracy than ≥ 800 s/mm2; performing in a high field strength (3.0 T) system has a higher diagnostic accuracy than a low field strength (1.5 T) for pancreatic lesions.
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Affiliation(s)
- MeiLin Zhu
- Department of Radiology, Sichuan Provincial People's Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, 610072, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - ChuanDe Zhang
- Department of Radiology, Sichuan Provincial People's Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, 610072, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - JingXin Yan
- Department of Interventional Therapy, Qinghai University Affliated Hospital, Qinghai University, Xining, 810001, China
| | - Ju Sun
- Department of Radiology, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu, 610072, China
| | - XinYi Zhao
- Department of Radiology, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu, 610072, China
| | - LuShun Zhang
- Department of Pathology and Pathophysiology, Chengdu Medical College, Development and Regeneration Key Laboratory of Sichuan Province, Chengdu, 610500, China.
| | - LongLin Yin
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
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Feasibility of wide detector CT perfusion imaging performed during routine staging and restaging of pancreatic ductal adenocarcinoma. Abdom Radiol (NY) 2021; 46:1992-2002. [PMID: 33079256 DOI: 10.1007/s00261-020-02786-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/15/2020] [Accepted: 09/24/2020] [Indexed: 01/01/2023]
Abstract
PURPOSE To evaluate the feasibility of CT perfusion performed during routine multiphase contrast-enhanced CT on a 160 mm wide-coverage 256-slice scanner in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS Fifty-seven patients had a CT perfusion acquisition during their routine multiphase CT. Perfusion was performed 5 to 42.5 s (15 passes at 2.5 s intervals) after intravenous contrast administration (4.2-5 ml/s), followed by pancreatic parenchymal and portal venous phases for clinical interpretation. Perfusion maps were generated and blood flow (BF), blood volume (BV), and permeability surface area product (PS) for tumor and uninvolved pancreas were calculated using deconvolution algorithms and compared to existing similar publications. Radiation dose information was recorded and size-specific dose estimate (SSDE) was calculated using body dimensions. RESULTS Diagnostic quality of standard images was unaffected by performing the perfusion acquisition. Average tumor center BF was 20.8 ± 12.1 ml/100 g/min, BV 2.5 ± 2.1 ml/100 g and PS 15.5 ± 39.4 ml/100 g/min. Average pancreas BF was 90.8 ± 50.2 ml/100 g/min, BV 11.9 ± 4.3 ml/100 g and PS 33.6 ± 27.7 ml/100 g/min. For the perfusion acquisition, mean SSDE was 57 ± 11 mGy, CTDIvol 43 ± 6 mGy and DLP 685 ± 100 mGy-cm. CONCLUSION Adding a perfusion CT acquisition to standard pancreatic CT protocol is feasible using a wide-detector 256-slice CT scanner and adds quantitative information while maintaining diagnostic quality of the standard of care examination. This novel protocol adds no time or cost to the examination and yields perfusion parameters that are comparable to existing literature using a separate dedicated perfusion protocol.
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Zaborienė I, Barauskas G, Gulbinas A, Ignatavičius P, Lukoševičius S, Žvinienė K. Dynamic perfusion CT - A promising tool to diagnose pancreatic ductal adenocarcinoma. Open Med (Wars) 2021; 16:284-292. [PMID: 33681467 PMCID: PMC7917368 DOI: 10.1515/med-2021-0228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 12/01/2020] [Accepted: 12/14/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND AND OBJECTIVE This study deals with an important issue of setting the role and value of the dynamic computed tomography (CT) perfusion analysis in diagnosing pancreatic ductal adenocarcinoma (PDAC). The study aimed to assess the efficacy of perfusion CT in identifying PDAC, even isodense or hardly depicted in conventional multidetector computed tomography. METHODS A total of 56 patients with PDAC and 56 control group patients were evaluated in this study. A local perfusion assessment, involving the main perfusion parameters, was evaluated for all the patients. Sensitivity, specificity, positive, and negative predictive values for each perfusion CT parameter were defined using cutoff values calculated using receiver operating characteristic curve analysis. We accomplished logistic regression to identify the probability of PDAC. RESULTS Blood flow (BF) and blood volume (BV) values were significant independent diagnostic criteria for the presence of PDAC. If both values exceed the determined cutoff point, the estimated probability for the presence of PDAC was 97.69%. CONCLUSIONS Basic CT perfusion parameters are valuable in providing the radiological diagnosis of PDAC. The estimated BF and BV parameters may serve as independent diagnostic criteria predicting the probability of PDAC.
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Affiliation(s)
- Inga Zaborienė
- Department of Radiology, Lithuanian University of Health Sciences, Eiveniu str. 2, Kaunas, 50009, Lithuania
| | - Giedrius Barauskas
- Department of Surgery, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Antanas Gulbinas
- Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Povilas Ignatavičius
- Department of Visceral and Transplant Surgery, University Hospital of ZurichZurich, Switzerland
| | - Saulius Lukoševičius
- Department of Radiology, Lithuanian University of Health Sciences, Eiveniu str. 2, Kaunas, 50009, Lithuania
| | - Kristina Žvinienė
- Department of Radiology, Lithuanian University of Health Sciences, Eiveniu str. 2, Kaunas, 50009, Lithuania
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Seo W, Kim YC, Min SJ, Lee SM. Enhancement parameters of contrast-enhanced computed tomography for pancreatic ductal adenocarcinoma: Correlation with pathologic grading. World J Gastroenterol 2020; 26:4151-4158. [PMID: 32821076 PMCID: PMC7403799 DOI: 10.3748/wjg.v26.i28.4151] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/08/2020] [Accepted: 07/14/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDA) is a malignancy with a high mortality rate and short survival time. The conventional computed tomography (CT) has been worldwide used as a modality for diagnosis of PDA, as CT enhancement pattern has been thought to be related to tumor angiogenesis and pathologic grade of PDA.
AIM To evaluate the relationship between the pathologic grade of pancreatic ductal adenocarcinoma and the enhancement parameters of contrast-enhanced CT.
METHODS In this retrospective study, 42 patients (Age, mean ± SD: 62.43 ± 11.42 years) with PDA who underwent surgery after preoperative CT were selected. Two radiologists evaluated the CT images and calculated the value of attenuation at the aorta in the arterial phase and the pancreatic phase (VAarterial and VApancreatic) and of the tumor (VTarterial and VTpancreatic) by finding out four regions of interest. Ratio between the tumor and the aorta enhancement on the arterial phase and the pancreatic phase (TARarterial and TARpancreatic) was figured out through dividing VTarterial by VAarterial and VTpancreatic by VApancreatic. Tumor-to-aortic enhancement fraction (TAF) was expressed as the ratio of the difference between attenuation of the tumor on arterial and parenchymal images to that between attenuation of the aorta on arterial and pancreatic images. The Kruskal-Wallis analysis of variance and Mann-Whitney U test for statistical analysis were used.
RESULTS Forty-two PDAs (23 men and 19 women) were divided into three groups: Well-differentiated (n = 13), moderately differentiated (n = 21), and poorly differentiated (n = 8). TAF differed significantly between the three groups (P = 0.034) but TARarterial (P = 0.164) and TARpancreatic (P = 0.339) did not. The median value of TAF for poorly differentiated PDAs (0.1011; 95%CI: 0.01100-0.1796) was significantly higher than that for well-differentiated PDAs (0.1941; 95%CI: 0.1463-0.3194).
CONCLUSION Calculation of TAF might be useful in predicting the pathologic grade of PDA.
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Affiliation(s)
- Woorim Seo
- Department of Radiology, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi-do 18450, South Korea
| | - Young Chul Kim
- Department of Radiology, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi-do 18450, South Korea
| | - Seon Jeong Min
- Department of Radiology, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi-do 18450, South Korea
| | - Sang Min Lee
- Department of Radiology, Hallym University Sacred Heart Hospital, Gyeonggi-do 14068, South Korea
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12
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Kovač JD, Đurić-Stefanović A, Dugalić V, Lazić L, Stanisavljević D, Galun D, Mašulović D. CT perfusion and diffusion-weighted MR imaging of pancreatic adenocarcinoma: can we predict tumor grade using functional parameters? Acta Radiol 2019; 60:1065-1073. [PMID: 30428264 DOI: 10.1177/0284185118812202] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Jelena Djokić Kovač
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Aleksandra Đurić-Stefanović
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vladimir Dugalić
- First Surgical Clinic, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Ljubica Lazić
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Dejana Stanisavljević
- Institute for Medical Statistics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Danijel Galun
- First Surgical Clinic, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Dragan Mašulović
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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13
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Intra- and interobserver reproducibility of pancreatic perfusion by computed tomography. Sci Rep 2019; 9:6043. [PMID: 30988325 PMCID: PMC6465241 DOI: 10.1038/s41598-019-42519-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 04/02/2019] [Indexed: 01/14/2023] Open
Abstract
The aim of this study was to measure intra- and interobserver agreement among radiologists in the assessment of pancreatic perfusion by computed tomography (CT). Thirty-nine perfusion CT scans were analyzed. The following parameters were measured by three readers: blood flow (BF), blood volume (BV), mean transit time (MTT) and time to peak (TTP). Statistical analysis was performed using the Bland-Altman method, linear mixed model analysis, and intraclass correlation coefficient (ICC). There was no significant intraobserver variability for the readers regarding BF, BV or TTP. There were session effects for BF in the pancreatic body and MTT in the pancreatic tail and whole pancreas. There were reader effects for BV in the pancreatic head, pancreatic body and whole pancreas. There were no effects for the interaction between session and reader for any perfusion parameter. ICCs showed substantial agreement for the interobserver measurements and moderate to substantial agreement for the intraobserver measurements, with the exception of MTT. In conclusion, satisfactory reproducibility of measurements was observed for TTP in all pancreatic regions, for BF in the head and BV in the tail, and these parameters seem to ensure a reasonable estimation of pancreatic perfusion.
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14
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Baleato-González S, García-Figueiras R, Luna A, Domínguez-Robla M, Vilanova J. Functional imaging in pancreatic disease. RADIOLOGIA 2018. [DOI: 10.1016/j.rxeng.2018.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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15
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Baleato-González S, García-Figueiras R, Luna A, Domínguez-Robla M, Vilanova JC. Functional imaging in pancreatic disease. RADIOLOGIA 2018; 60:451-464. [PMID: 30236460 DOI: 10.1016/j.rx.2018.07.004] [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: 01/30/2018] [Revised: 07/19/2018] [Accepted: 07/23/2018] [Indexed: 12/12/2022]
Abstract
In addition to the classical morphological evaluation of pancreatic disease, the constant technological advances in imaging techniques based fundamentally on computed tomography and magnetic resonance imaging have enabled the quantitative functional and molecular evaluation of this organ. In many cases, this imaging-based information results in substantial changes to patient management and can be a fundamental tool for the development of biomarkers. The aim of this article is to review the role of emerging functional and molecular techniques based on computed tomography and magnetic resonance imaging in the evaluation of pancreatic disease.
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Affiliation(s)
- S Baleato-González
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España.
| | - R García-Figueiras
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España
| | - A Luna
- Grupo Health Time. Director - Advanced Medical Imaging, Sercosa (Servicio de Radiología Computerizada), Clínica Las Nieves, Jaén, España
| | - M Domínguez-Robla
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España
| | - J C Vilanova
- Departamento de Radiología, Clínica Girona-Hospital Santa Caterina, Girona, España
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16
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Tummers WS, Willmann JK, Bonsing BA, Vahrmeijer AL, Gambhir SS, Swijnenburg RJ. Advances in Diagnostic and Intraoperative Molecular Imaging of Pancreatic Cancer. Pancreas 2018; 47:675-689. [PMID: 29894417 PMCID: PMC6003672 DOI: 10.1097/mpa.0000000000001075] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis. To improve outcomes, there is a critical need for improved tools for detection, accurate staging, and resectability assessment. This could improve patient stratification for the most optimal primary treatment modality. Molecular imaging, used in combination with tumor-specific imaging agents, can improve established imaging methods for PDAC. These novel, tumor-specific imaging agents developed to target specific biomarkers have the potential to specifically differentiate between malignant and benign diseases, such as pancreatitis. When these agents are coupled to various types of labels, this type of molecular imaging can provide integrated diagnostic, noninvasive imaging of PDAC as well as image-guided pancreatic surgery. This review provides a detailed overview of the current clinical imaging applications, upcoming molecular imaging strategies for PDAC, and potential targets for imaging, with an emphasis on intraoperative imaging applications.
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Affiliation(s)
- Willemieke S. Tummers
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA. Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Juergen K. Willmann
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA. Juergen K. Willmann died January 8, 2018
| | - Bert A. Bonsing
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Sanjiv S. Gambhir
- Address correspondence to: R.J. Swijnenburg, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands (). Tel: +31 71 526 4005, Fax: +31 71 526 6750
| | - Rutger-Jan Swijnenburg
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands
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17
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Ma W, Zhang G, Ren J, Pan Q, Wen D, Zhong J, Zhang Z, Huan Y. Quantitative parameters of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI): potential application in predicting pathological grades of pancreatic ductal adenocarcinoma. Quant Imaging Med Surg 2018; 8:301-310. [PMID: 29774183 DOI: 10.21037/qims.2018.04.08] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background The aim of this study was to compare intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) parameters such as standard apparent diffusion coefficient (ADCstandard), pure diffusion coefficient (Dslow), pseudodiffusion coefficient (Dfast) and perfusion fraction (ƒ) for differentiating pancreatic ductal adenocarcinoma (PDAC) with different pathological grades. Methods Institutional Review Board of our hospital approved this study protocol. Subjects comprised 38 PDACs confirmed by pathology. Pancreatic multiple b values DWI with 15 b values of 0, 10, 20, 40, 60, 80, 100, 150, 200, 400, 800, 1,000, 1200, 1,500, and 2,000 s/mm2 was performed using GE Discovery MR750 3.0T scanner. ADCstandard, Dslow, Dfast and ƒ values of all PDACs were calculated using mono- and bi-exponential models. Parameters of well/moderately differentiated and poorly differentiated PDAC were compared using Independent Sample t-test. P values <0.05 were considered significant. Results Mean Dslow value of well/moderately differentiated PDAC was significantly lower than that of poorly differentiated PDAC (0.540×10-3vs. 0.676×10-3 mm2/s, P<0.001). Mean ƒ value of well/moderately differentiated PDAC was significantly higher than that of poorly differentiated PDAC (60.3% vs. 38.4%, P<0.001). The area under curve value of ƒ in differentiating well/moderately differentiated PDAC from poorly differentiated PDAC was slightly higher than that of Dslow (0.894>0.865). When the Dslow value was less than or equal to 0.599×10-3 mm2/s, the sensitivity and specificity were 100% and 84.6% respectively. When ƒ value was greater than 49.6%, the sensitivity and specificity were 92.0% and 84.6% respectively. Conclusions Dslow and ƒ derived from IVIM-DWI model can be used to distinguish well/moderately differentiated PDAC from poorly differentiated PDAC. And to serve this purpose, Dslow and ƒ have high diagnostic performance. IVIM-DWI is a promising and non-invasive tool for predicting pathological grade of PDAC.
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Affiliation(s)
- Wanling Ma
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Guangwen Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Jing Ren
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Qi Pan
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Didi Wen
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Jinman Zhong
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Zhuoli Zhang
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yi Huan
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
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18
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Kawamoto S, Fuld MK, Laheru D, Huang P, Fishman EK. Assessment of iodine uptake by pancreatic cancer following chemotherapy using dual-energy CT. Abdom Radiol (NY) 2018; 43:445-456. [PMID: 29473093 PMCID: PMC7385923 DOI: 10.1007/s00261-017-1338-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Pancreatic cancer remains a major health problem, and only less than 20% of patients have resectable disease at the time of initial diagnosis. Systemic chemotherapy is often used in the patients with borderline resectable, locally advanced unresectable disease and metastatic disease. CT is often used to assess for therapeutic response; however, conventional imaging including CT may not correctly reflect treatment response after chemotherapy. Dual-energy (DE) CT can acquire datasets at two different photon spectra in a single CT acquisition, and permits separating materials and extract iodine by applying a material decomposition algorithm. Quantitative iodine mapping may have an added value over conventional CT imaging for monitoring the treatment effects in patients with pancreatic cancer and potentially serve as a unique biomarker for treatment response. In this pictorial essay, we will review the technique for iodine quantification of pancreatic cancer by DECT and discuss our observations of iodine quantification at baseline and after systemic chemotherapy with conventional cytotoxic agents, and illustrate example cases.
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Affiliation(s)
- Satomi Kawamoto
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
- , JHOC 3140E, 601 N. Caroline Street, Baltimore, MD, 21287, USA.
| | - Matthew K Fuld
- The Russell H. Morgan Department of Radiology and Radiological Science, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
- Siemens Medical Solutions USA, Inc, Malvern, PA, USA
| | - Daniel Laheru
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Peng Huang
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
- Department of Biostatistics, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Elliot K Fishman
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, USA
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19
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Usefulness of Volume Perfusion Computed Tomography in Differentiating Histologic Subtypes of Thymic Epithelial Tumors. J Comput Assist Tomogr 2018; 42:594-600. [DOI: 10.1097/rct.0000000000000718] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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20
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Trajkovic-Arsic M, Heid I, Steiger K, Gupta A, Fingerle A, Wörner C, Teichmann N, Sengkwawoh-Lueong S, Wenzel P, Beer AJ, Esposito I, Braren R, Siveke JT. Apparent Diffusion Coefficient (ADC) predicts therapy response in pancreatic ductal adenocarcinoma. Sci Rep 2017; 7:17038. [PMID: 29213099 PMCID: PMC5719052 DOI: 10.1038/s41598-017-16826-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 11/17/2017] [Indexed: 01/05/2023] Open
Abstract
Recent advances in molecular subtyping of Pancreatic Ductal Adenocarcinoma (PDAC) support individualization of therapeutic strategies in this most aggressive disease. With the emergence of various novel therapeutic strategies and neoadjuvant approaches in this quickly deteriorating disease, robust approaches for fast evaluation of therapy response are urgently needed. To this aim, we designed a preclinical imaging-guided therapy trial where genetically engineered mice harboring endogenous aggressive PDAC were treated with the MEK targeting drug refametinib, which induces rapid and profound tumor regression in this model system. Multi-parametric non-invasive imaging was used for therapy response monitoring. A significant increase in the Diffusion-Weighted Magnetic Resonance Imaging derived Apparent Diffusion Coefficient (ADC) was noted already 24 hours after treatment onset. Histopathological analyses showed increased apoptosis and matrix remodeling at this time point. Our findings suggest the ADC parameter as an early predictor of therapy response in PDAC.
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Affiliation(s)
- M Trajkovic-Arsic
- Division of Solid Tumor Translational Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - I Heid
- Institute of Radiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - K Steiger
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - A Gupta
- 2. Medizinische Klinik, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - A Fingerle
- Institute of Radiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - C Wörner
- Institute of Radiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - N Teichmann
- 2. Medizinische Klinik, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - S Sengkwawoh-Lueong
- Division of Solid Tumor Translational Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - P Wenzel
- 2. Medizinische Klinik, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - A J Beer
- Department of Nuclear Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Nuclear Medicine, University Hospital of Ulm, Ulm, Germany
| | - I Esposito
- Institute of Pathology, University Clinic Duesseldorf, Heinrich-Heine University, Duesseldorf, Germany
| | - R Braren
- Institute of Radiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
| | - J T Siveke
- Division of Solid Tumor Translational Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany.
- German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center (DKFZ), Heidelberg, Germany.
- 2. Medizinische Klinik, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
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21
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Multislice Analysis of Blood Flow Values in CT Perfusion Studies of Lung Cancer. BIOMED RESEARCH INTERNATIONAL 2017; 2017:3236893. [PMID: 28164118 PMCID: PMC5259676 DOI: 10.1155/2017/3236893] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 12/07/2016] [Accepted: 12/12/2016] [Indexed: 12/20/2022]
Abstract
Objectives. Tumour heterogeneity represents a key issue in CT perfusion (CTp), where all studies are usually based on global mean or median values of perfusion maps, often computed on whole tumour. We sought to determine whether, and to what extent, such global values can be representative of tumour heterogeneity, with respect to single slices, and could be used for therapy assessment. Materials and Methods. Twelve patients with one primary non-small cell lung cancer lesion were enrolled in this study, for a total amount of 26 CTp examinations and 118 slices. Mean and median blood flow (BF) values, calculated voxel-based, were computed on each slice and the whole tumour. To measure functional heterogeneity, entropy was calculated on BF values as well. Results. Most of the slices were not represented by the global BF values computed on the whole tumour. In addition, there are a number of lesions having equivalent global BF values, but they are composed of slices having very different heterogeneity distributions, that is, entropy values. Conclusions. Global mean/median BF values of the single slices separately should be considered for clinical assessment, only if interpreted through entropy computed on BF values. The numerical equivalence between global BF values of different lesions may correspond to different clinical status, thus inducing possible errors in choice of therapy when considering global values only.
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22
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Schneeweiß S, Horger M, Grözinger A, Nikolaou K, Ketelsen D, Syha R, Grözinger G. CT-perfusion measurements in pancreatic carcinoma with different kinetic models: Is there a chance for tumour grading based on functional parameters? Cancer Imaging 2016; 16:43. [PMID: 27978850 PMCID: PMC5159980 DOI: 10.1186/s40644-016-0100-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Accepted: 12/01/2016] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND To evaluate the interchangeability of perfusion parameters obtained with help of models used for post-processing of perfusion-CT images in pancreatic adenocarcinoma and to determine the mean values and ranges of perfusion in different tumour gradings. METHODS Perfusion-CT imaging was performed prospectively in 48 consecutive patients with pancreatic adenocarcinoma. In 42 patients biopsy-proven tumor grading was available (4 × G1/24 × G2/14 × G3/6× unknown). Images were post-processed using a model based on the maximum-slope (MS) approach (blood flow-BFMS) + Patlak analysis (P) (blood volume [BVP] and permeability [k-transP]), as well as a model with deconvolution-based (D) analysis (BFD, BVD and k-transD). 50 mL contrast agent were applied with a delay time of 7 s. Perfusion parameters were compared using intraclass correlation coefficient (ICC), the Wilcoxon matched-pairs test and Bland-Altman plots. RESULTS Forty eight VOIs of tumours were outlined and analysed. Moderate to good ICC values were found for the perfusion parameters (ICC = 0.62-0.75). Wilcoxon matched-pairs revealed significantly lower values (P < .001 and 0.008), for the BF and BV values obtained using the maximum-slope approach + Patlak analysis compared to deconvolution based analysis. For k-trans measurement, deconvolution revealed significantly lower values (P < 0.001). Different histologic subgroups (G1-G3) did not show significantly different functional parameters. CONCLUSION There were significant differences in the perfusion parameters obtained using the different calculation methods, and therefore these parameters are not directly interchangeable. However, the magnitude of pairs of parametric values is in constant relation to each other enabling the use of any of these methods. VPCT parameters did not allow for histologic classification.
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Affiliation(s)
- Sven Schneeweiß
- Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Marius Horger
- Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Anja Grözinger
- Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Dominik Ketelsen
- Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Roland Syha
- Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Gerd Grözinger
- Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
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23
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Granata V, Fusco R, Catalano O, Setola SV, de Lutio di Castelguidone E, Piccirillo M, Palaia R, Grassi R, Granata F, Izzo F, Petrillo A. Multidetector computer tomography in the pancreatic adenocarcinoma assessment: an update. Infect Agent Cancer 2016; 11:57. [PMID: 27891175 PMCID: PMC5111267 DOI: 10.1186/s13027-016-0105-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 11/03/2016] [Indexed: 02/07/2023] Open
Abstract
Ductal adenocarcinoma of the pancreas is one of the most aggressive forms of cancer, with only a minority of cases being resectable at the moment of their diagnosis. The accurate detection and characterization of pancreatic carcinoma is very important for patient management. Multidetector-row computed tomography (MDCT) has become the cross-sectional modality of choice in the diagnosis, staging, treatment planning, and follow-up of patients with pancreatic tumors. However, approximately 11% of ductal adenocarcinomas still remain undetected at MDCT because of the lack of attenuation gradient between the lesion and the adjacent pancreatic parenchyma. In this systematic literature review we investigate the current evolution of the CT technique, limitations, and perspectives in the evaluation of pancreatic carcinoma.
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Affiliation(s)
- Vincenza Granata
- Department of Diagnostic Imaging, radiant and metabolic Therapy, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Roberta Fusco
- Department of Diagnostic Imaging, radiant and metabolic Therapy, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Orlando Catalano
- Department of Diagnostic Imaging, radiant and metabolic Therapy, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Sergio Venanzio Setola
- Department of Diagnostic Imaging, radiant and metabolic Therapy, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | | | - Mauro Piccirillo
- Department of Hepato-Biliary Surgery, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Raffaele Palaia
- Department of Hepato-Biliary Surgery, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Roberto Grassi
- Departement of Radiology, Seconda Università degli Studi di Napoli, Naples, Italy
| | - Francesco Granata
- Departement of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Lazio, Italy
| | - Francesco Izzo
- Department of Hepato-Biliary Surgery, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Antonella Petrillo
- Department of Diagnostic Imaging, radiant and metabolic Therapy, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
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Heid I, Steiger K, Trajkovic-Arsic M, Settles M, Eßwein MR, Erkan M, Kleeff J, Jäger C, Friess H, Haller B, Steingötter A, Schmid RM, Schwaiger M, Rummeny EJ, Esposito I, Siveke JT, Braren RF. Co-clinical Assessment of Tumor Cellularity in Pancreatic Cancer. Clin Cancer Res 2016; 23:1461-1470. [PMID: 27663591 DOI: 10.1158/1078-0432.ccr-15-2432] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 08/14/2016] [Accepted: 08/29/2016] [Indexed: 11/16/2022]
Abstract
Purpose: Tumor heterogeneity is a hallmark of pancreatic ductal adenocarcinoma (PDAC). It determines tumor biology including tumor cellularity (i.e., amount of neoplastic cells and arrangement into clusters), which is related to the proliferative capacity and differentiation and the degree of desmoplasia among others. Given the close relation of tumor differentiation with differences in progression and therapy response or, e.g., the recently reported protective role of tumor stroma, we aimed at the noninvasive detection of PDAC groups, relevant for future personalized approaches. We hypothesized that histologic differences in PDAC tissue composition are detectable by the noninvasive diffusion weighted- (DW-) MRI-derived apparent diffusion coefficient (ADC) parameter.Experimental design: PDAC cellularity was quantified histologically and correlated with the ADC parameter and survival in genetically engineered mouse models and human patients.Results: Histologic analysis showed an inverse relationship of tumor cellularity and stroma content. Low tumor cellularity correlated with a significantly prolonged mean survival time (PDAClow = 21.93 months vs. PDACmed = 12.7 months; log-rank P < 0.001; HR = 2.23; CI, 1.41-3.53). Multivariate analysis using the Cox regression method confirmed tumor cellularity as an independent prognostic marker (P = 0.034; HR = 1.73; CI, 1.04-2.89). Tumor cellularity showed a strong negative correlation with the ADC parameter in murine (r = -0.84; CI, -0.90- -0.75) and human (r = -0.79; CI, -0.90 to -0.56) PDAC and high preoperative ADC values correlated with prolonged survival (ADChigh = 41.7 months; ADClow = 14.77 months; log rank, P = 0.040) in PDAC patients.Conclusions: This study identifies high tumor cellularity as a negative prognostic factor in PDAC and supports the ADC parameter for the noninvasive identification of PDAC groups. Clin Cancer Res; 23(6); 1461-70. ©2016 AACR.
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Affiliation(s)
- Irina Heid
- Institute of Radiology, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Katja Steiger
- Institute of Pathology, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Marija Trajkovic-Arsic
- 2nd Medical Department, Klinikum rechts der Isar, Technische Universität München, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK), partner site Essen, University Hospital Essen, Essen, Germany
| | - Marcus Settles
- Institute of Radiology, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Manuela R Eßwein
- Institute of Radiology, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Mert Erkan
- Department of Surgery, Koc University School of Medicine, Istanbul, Turkey
| | - Jörg Kleeff
- Department of Surgery, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Carsten Jäger
- Department of Surgery, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Helmut Friess
- Department of Surgery, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Bernhard Haller
- Institute of Medical Statistics and Epidemiology, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Andreas Steingötter
- Division of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland
| | - Roland M Schmid
- 2nd Medical Department, Klinikum rechts der Isar, Technische Universität München, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Markus Schwaiger
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Ernst J Rummeny
- Institute of Radiology, Klinikum rechts der Isar, Technische Universität München, Germany
| | - Irene Esposito
- Institute of Pathology, Universitätsklinikum Düsseldorf, Düsseldorf, Germany.
| | - Jens T Siveke
- 2nd Medical Department, Klinikum rechts der Isar, Technische Universität München, Germany. .,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK), partner site Essen, University Hospital Essen, Essen, Germany
| | - Rickmer F Braren
- Institute of Radiology, Klinikum rechts der Isar, Technische Universität München, Germany.
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Dynamic Contrast-Enhanced CT in Patients with Pancreatic Cancer. Diagnostics (Basel) 2016; 6:diagnostics6030034. [PMID: 27608045 PMCID: PMC5039568 DOI: 10.3390/diagnostics6030034] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 08/22/2016] [Accepted: 08/24/2016] [Indexed: 12/18/2022] Open
Abstract
The aim of this systematic review is to provide an overview of the use of Dynamic Contrast-enhanced Computed Tomography (DCE-CT) in patients with pancreatic cancer. This study was composed according to the PRISMA guidelines 2009. The literature search was conducted in PubMed, Cochrane Library, EMBASE, and Web of Science databases to identify all relevant publications. The QUADAS-2 tool was implemented to assess the risk of bias and applicability concerns of each included study. The initial literature search yielded 483 publications. Thirteen articles were included. Articles were categorized into three groups: nine articles concerning primary diagnosis or staging, one article about tumor response to treatment, and three articles regarding scan techniques. In exocrine pancreatic tumors, measurements of blood flow in eight studies and blood volume in seven studies were significantly lower in tumor tissue, compared with measurements in pancreatic tissue outside of tumor, or normal pancreatic tissue in control groups of healthy volunteers. The studies were heterogeneous in the number of patients enrolled and scan protocols. Perfusion parameters measured and analyzed by DCE-CT might be useful in the investigation of characteristic vascular patterns of exocrine pancreatic tumors. Further clinical studies are desired for investigating the potential of DCE-CT in pancreatic tumors.
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De Robertis R, D'Onofrio M, Crosara S, Dal Corso F, Barbi E, Canestrini S, Mucelli RP. Contrast-enhanced ultrasound of pancreatic tumours. Australas J Ultrasound Med 2015; 17:96-109. [PMID: 28191218 PMCID: PMC5024951 DOI: 10.1002/j.2205-0140.2014.tb00032.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Indication/purpose: To review contrast‐enhanced ultrasound features of the most common pancreatic tumours. Methods: Contrast‐enhanced ultrasound (CEUS) can provide distinctive features of pancreatic tumours that are reported in the present paper, providing radiologic‐pathological correlations and clarifying the main differential diagnosis. Conclusion: Contrast‐enhanced ultrasound plays a well‐established role in the evaluation of pancreatic tumours. When possible, CEUS should be always performed after the initial US diagnosis, in order to improve the accuracy of the first line examination.
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Affiliation(s)
- Riccardo De Robertis
- Department of Radiology, GB Rossi Hospital University of Verona Piazzale L.A. Scuro 10 37134 Verona Italy
| | - Mirko D'Onofrio
- Department of Radiology, GB Rossi Hospital University of Verona Piazzale L.A. Scuro 10 37134 Verona Italy
| | - Stefano Crosara
- Department of Radiology, GB Rossi Hospital University of Verona Piazzale L.A. Scuro 10 37134 Verona Italy
| | - Flavia Dal Corso
- Department of Radiology, GB Rossi Hospital University of Verona Piazzale L.A. Scuro 10 37134 Verona Italy
| | - Emilio Barbi
- Department of Radiology Casa di Cura Pederzoli Via Monte Baldo 24 37019 Peschiera del Garda-Verona Italy
| | - Stefano Canestrini
- Department of Radiology, GB Rossi Hospital University of Verona Piazzale L.A. Scuro 10 37134 Verona Italy
| | - Roberto Pozzi Mucelli
- Department of Radiology, GB Rossi Hospital University of Verona Piazzale L.A. Scuro 10 37134 Verona Italy
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Xu Y, Sun H, Song A, Yang Q, Lu X, Wang W. Predictive Significance of Tumor Grade Using 256-Slice CT Whole-Tumor Perfusion Imaging in Colorectal Adenocarcinoma. Acad Radiol 2015; 22:1529-35. [PMID: 26421473 DOI: 10.1016/j.acra.2015.08.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 08/27/2015] [Accepted: 08/31/2015] [Indexed: 12/14/2022]
Abstract
RATIONALE AND OBJECTIVES The preoperative assessment of tumor grade has important clinical implications for the treatment and prognosis of patients with colorectal adenocarcinomas. The purpose of this study is to investigate the predictive significance of colorectal adenocarcinoma grade using 256-slice whole-tumor computed tomography (CT) perfusion. MATERIALS AND METHODS Fifty-three patients with proven colorectal adenocarcinomas were enrolled. All of them underwent 256-slice whole-tumor CT perfusion. They were divided into two different subgroups according to postoperative pathological results: low grade and high grade. The Kruskal-Wallis test or one-way analysis of variance was used for comparison of CT perfusion parameters between different tumor grades. Multivariant correlation between pathologic tumor stage, histologic tumor differentiation, and whole-tumor CT perfusion parameters was evaluated by Spearman rank correlation coefficient. According to receiver operating characteristic (ROC) curves, perfusion parameters including blood flow (BF), peak enhancement index (PEI), blood volume (BV), and time to peak (TTP) of 53 patients were analyzed, and the sensitivity, specificity, and accuracy of these parameters in predicting tumor grade were calculated. RESULTS There were significant differences in BF and TTP between low-grade and high-grade tumors. According to the ROC curve, BF and TTP were of diagnostic significance, with the area under the curve values of 0.828 and 0.736, respectively. The diagnostic threshold of BF was 32.12 mL/min/100 g and that of TTP was 18.10 seconds. CONCLUSIONS The CT perfusion parameters (BF, TTP) of first-pass 256-slice whole-tumor CT perfusion imaging can reflect tumor grade in colorectal adenocarcinoma.
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Li HO, Guo J, Sun C, Li X, Qi YD, Wang XM, Xu ZD, Chen JH, Liu C. Assessment of pancreatic adenocarcinoma: Use of low-dose whole pancreatic CT perfusion and individualized dual-energy CT scanning. J Med Imaging Radiat Oncol 2015. [PMID: 26223707 DOI: 10.1111/1754-9485.12342] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Hai-ou Li
- Department of Radiology; Qilu Hospital of Shandong University; Jinan Shandong China
| | - Jun Guo
- Shandong Liaocheng Hospital; Shandong University; Liaocheng China
| | - Cong Sun
- Shandong Provincial Medical Imaging Research Institute; Shandong University; Jinan China
| | - Xiao Li
- Shandong Provincial Medical Imaging Research Institute; Shandong University; Jinan China
| | - Yao-dong Qi
- Shandong Provincial Medical Imaging Research Institute; Shandong University; Jinan China
| | - Xi-ming Wang
- Shandong Provincial Medical Imaging Research Institute; Shandong University; Jinan China
| | - Zhuo-dong Xu
- Shandong Provincial Medical Imaging Research Institute; Shandong University; Jinan China
| | - Jiu-hong Chen
- Medical Solutions Group; Siemens Ltd.; Beijing China
| | - Cheng Liu
- Shandong Provincial Medical Imaging Research Institute; Shandong University; Jinan China
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De Robertis R, Tinazzi Martini P, Demozzi E, Puntel G, Ortolani S, Cingarlini S, Ruzzenente A, Guglielmi A, Tortora G, Bassi C, Pederzoli P, D’Onofrio M. Prognostication and response assessment in liver and pancreatic tumors: The new imaging. World J Gastroenterol 2015; 21:6794-6808. [PMID: 26078555 PMCID: PMC4462719 DOI: 10.3748/wjg.v21.i22.6794] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Revised: 03/25/2015] [Accepted: 05/04/2015] [Indexed: 02/06/2023] Open
Abstract
Diffusion-weighted imaging (DWI), dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and perfusion computed tomography (CT) are technical improvements of morphologic imaging that can evaluate functional properties of hepato-bilio-pancreatic tumors during conventional MRI or CT examinations. Nevertheless, the term “functional imaging” is commonly used to describe molecular imaging techniques, as positron emission tomography (PET) CT/MRI, which still represent the most widely used methods for the evaluation of functional properties of solid neoplasms; unlike PET or single photon emission computed tomography, functional imaging techniques applied to conventional MRI/CT examinations do not require the administration of radiolabeled drugs or specific equipments. Moreover, DWI and DCE-MRI can be performed during the same session, thus providing a comprehensive “one-step” morphological and functional evaluation of hepato-bilio-pancreatic tumors. Literature data reveal that functional imaging techniques could be proposed for the evaluation of these tumors before treatment, given that they may improve staging and predict prognosis or clinical outcome. Microscopic changes within neoplastic tissues induced by treatments can be detected and quantified with functional imaging, therefore these techniques could be used also for post-treatment assessment, even at an early stage. The aim of this editorial is to describe possible applications of new functional imaging techniques apart from molecular imaging to hepatic and pancreatic tumors through a review of up-to-date literature data, with a particular emphasis on pathological correlations, prognostic stratification and post-treatment monitoring.
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An Update of Clinical CT Imaging of Pancreatic Neoplasm: Tips, Tricks, and Pitfalls. CURRENT RADIOLOGY REPORTS 2015. [DOI: 10.1007/s40134-015-0104-1] [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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Tan Z, Miao Q, Li X, Ren K, Zhao Y, Zhao L, Li X, Liu Y, Chai R, Xu K. The primary study of low-dose pancreas perfusion by 640- slice helical CT: a whole-organ perfusion. SPRINGERPLUS 2015; 4:192. [PMID: 25932375 PMCID: PMC4409948 DOI: 10.1186/s40064-015-0950-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Accepted: 03/27/2015] [Indexed: 01/06/2023]
Abstract
To discuss the feasibility of low-dose whole-pancreas imaging utilizing 640-slice dynamic volume CT.80 patients (40 cases of normal pancreas and 40 patients supposed of having pancreatic carcinoma or focal pancreatic space-occupying lesions were mainly refered) referred for CT pancreas perfusion were enrolled in the study. 80 patients randomly assigned to 3 groups: Group ① (whole sequence). Group ② (odd number sequence). Group ③ (even number group)(Compared to ①, the scanning times and effective radiate dose of ② and ③ decreased about 50% respectively). The head, body, tail of each normal pancreas without any pancreatic disease, lesion and lesion-surrounding areas of each pancreatic cancer were selected as ROI, and tissue peak, blood flow are measured.According to pathology and clinical materials, 27 patients were diagnosed as pancreatic cancer; 40 patients were diagnosed as normal pancreas. The tissue peak and blood flow of the head, body, tail of normal pancreas without any pancreatic disease are 109.63 ± 16.60 and 131.90 ± 41.61, 104.38 ± 19.39 and 127.78 ± 42.52, 104.55 ± 15. 44 and 123.50 ± 33.44 respectively. The tissue peak and blood flow of pancreatic cancer is 59.59 ± 18.20 and 60.00 ± 15.36. For and between each group, there is no significant statistical difference for the tissue peak and blood flow of normal areas of the head, body, tail of normal pancreas. There is statistical difference for the tissue peak and blood flow of lesion and lesion-surrounding areas of pancreatic cancer in each group. However, there is no statistical difference for the tissue peak and blood flow of normal and diseasing areas between 3 groups.Low-dose whole-pancreas perfusion with 640-slice dynamic volume CT is feasible.
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Affiliation(s)
- Zhengwu Tan
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Qi Miao
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Xiaoling Li
- />Department of Radiology, The first affiliated hospital, Heilongjiang University of Chinese Medicine, Haibin, Heilongjiang Zip code:150040 PR China
| | - Ke Ren
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Yu Zhao
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Li Zhao
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Xuedan Li
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Yi Liu
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Ruimei Chai
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
| | - Ke Xu
- />Department of Radiology, The first affiliated hospital, China Medical University, Shenyang, Liaoning Zip code:110001 PR China
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Luczyńska E, Heinze-Paluchowska S, Domalik A, Cwierz A, Kasperkiewicz H, Blecharz P, Jereczek-Fossa B. The Utility of Diffusion Weighted Imaging (DWI) Using Apparent Diffusion Coefficient (ADC) Values in Discriminating Between Prostate Cancer and Normal Tissue. Pol J Radiol 2014; 79:450-5. [PMID: 25484999 PMCID: PMC4257483 DOI: 10.12659/pjr.890805] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2014] [Accepted: 07/03/2014] [Indexed: 12/18/2022] Open
Abstract
Background The aim of this study was to investigate the utility of diffusion weighted imaging (DWI) using Apparent Diffusion Coefficient (ADC) values in discriminating between patients with tumors and normal prostate tissue before the initial systematic core biopsy. The relationship between histological grade of prostate cancer and ADC values in the peripheral zone was also investigated. Material/Methods Our study included 62 patients who underwent magnetic resonance imaging (MRI) of the pelvis. The examinations were performed in T1-, T2-weighted, DWI and T1 after dynamic contrast administration sequences. In all patients there were abnormal foci within the peripheral zone determined in DWI/ADC. ADC values were compared with the Gleason score (GS) after core needle biopsy (CNB) in patients with low, medium and high stage tumors. Results Within the examined group of patients, ADC was statistically higher for normal tissue than for cancerous tissue (p=0.00). Mean ADC values for patients with low, intermediate and high GS were 0.85±0.03, 0.72±0.03, and 0.61±0.04, respectively. Conclusions DWI/ADC is useful in differentiating high-risk patients from those at low and intermediate risk, since there is a significant correlation between ADC values determined in patients included in three different groups according to their Gleason score. This information may be helpful in the assessment of prostate cancer aggressiveness.
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Affiliation(s)
- Elżbieta Luczyńska
- Department of Radiology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland
| | - Sylwia Heinze-Paluchowska
- Department of Radiology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland
| | - Agnieszka Domalik
- Department of Radiology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland
| | - Anna Cwierz
- Department of Radiology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland
| | - Hanna Kasperkiewicz
- Department of Radiology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland
| | - Paweł Blecharz
- Department of Gynecology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland
| | - Barbara Jereczek-Fossa
- Department of Radiation Oncology, European Institute of Oncology, Milan, Italy ; Department of Health Sciences, University of Milan, Milan, Italy
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Luczynska E, Blecharz P, Dyczek S, Stelmach A, Petralia G, Bellomi M, Jereczek-Fossa BA, Jakubowicz J. Perfusion CT is a valuable diagnostic method for prostate cancer: a prospective study of 94 patients. Ecancermedicalscience 2014; 8:476. [PMID: 25435904 PMCID: PMC4239130 DOI: 10.3332/ecancer.2014.476] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Indexed: 12/04/2022] Open
Abstract
Purpose The aim of this study is to assess the usefulness of perfusion computer tomography (pCT) in prostate cancer (PCa) diagnostics. Materials and Methods 94 patients with biopsy-proven PCa were enrolled in the study. Dynamic pCT of the prostate gland was performed for 50 seconds after an intravenous injection of contrast medium. Blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were computed in the suspected PCa area and in normal prostatic tissue. Results PCa was visible in pCT in 90 of the 94 examined patients as a focal peripheral CT enhancement. When PCa was located in the peripheral zone (PZ), it was visible on perfusion maps, mostly showing an early peak followed by wash-out. The average values of all perfusion parameters were higher for tumour than for normal prostate tissue (p < 0.000). BV and BF were dependent on tumour grade expressed by the Gleason score (GS). All PCa cases were divided into groups, according to histological grade, as low (GS ≤ 6), medium (GS = 7), and high (GS > 7). In high-grade PCa, the mean BF value was significantly higher (p = 0.001) than the mean value of BF low- and medium-grade PCa (p = 0.011). Similar results were obtained regarding the mean values of BV; the more aggressive the cancer grade, the higher the mean BV value (p = 0.04). Conclusion CT quantitative perfusion imaging allows PCa to be distinguished from normal prostate tissue. The highest values for BF and BV were observed in the most aggressive PCa grade.
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Affiliation(s)
- Elzbieta Luczynska
- Radiology Department, Centre of Oncology, M Sklodowska-Curie Memorial Institute, Cracow Branch, Cracow, Poland
| | - Pawel Blecharz
- Gynecologic Oncology Department, Centre of Oncology, M Sklodowska-Curie Memorial Institute, Cracow Branch, Cracow, Poland
| | - Sonia Dyczek
- Radiology Department, Centre of Oncology, M Sklodowska-Curie Memorial Institute, Cracow Branch, Cracow, Poland
| | - Andrzej Stelmach
- Radiotherapy Department, Centre of Oncology, M Sklodowska-Curie Memorial Institute, Cracow Branch, Cracow, Poland
| | | | - Massimo Bellomi
- Radiology Department, European Institute of Oncology, Milan, Italy ; Radiology Department, European Institute of Oncology, Milan, Italy
| | | | - Jerzy Jakubowicz
- Surgery Department, Centre of Oncology, M Sklodowska-Curie Memorial Institute, Cracow Branch, Cracow, Poland
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Effect of pre-enhancement set point on computed tomographic perfusion values in normal liver and metastases to the liver from neuroendocrine tumors. J Comput Assist Tomogr 2014; 38:526-34. [PMID: 24651739 DOI: 10.1097/rct.0000000000000053] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The objective of this study was to assess the effects of pre-enhancement set point (T1) positioning on computed tomographic perfusion (CTp) parameter values. METHODS The CTp data from 16 patients with neuroendocrine liver metastases were analyzed with distributed parameter modeling to yield tissue blood flow (BF), blood volume, mean transit time, permeability, and hepatic arterial fraction for tumor and normal liver, with displacements in T1 of ±0.5, ±1.0, ±2.0 seconds, relative to the reference standard. A linear mixed-effects model was used to assess the displacement effects. RESULTS Effects on the CTp parameter values were variable: BF was not significantly affected, but T1 positions of ≥+1.0 second and -2.0 seconds or longer significantly affected the other CTp parameters (P ≤ 0.004). Mean differences in the CTp parameter values versus the reference standard for BF, blood volume, mean transit time, permeability, and hepatic arterial fraction ranged from -5.0% to 5.2%, -12.7% to 8.9%, -12.5% to 8.1%, -5.3% to 5.7%, and -12.9% to 26.0%, respectively. CONCLUSIONS CTp parameter values can be significantly affected by T1 positioning.
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Sun H, Xu Y, Yang Q, Wang W. Assessment of tumor grade and angiogenesis in colorectal cancer: whole-volume perfusion CT. Acad Radiol 2014; 21:750-7. [PMID: 24809317 DOI: 10.1016/j.acra.2014.02.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2013] [Revised: 02/09/2014] [Accepted: 02/10/2014] [Indexed: 12/16/2022]
Abstract
RATIONALE AND OBJECTIVES The preoperative evaluation of tumor grading and angiogenesis has important clinical implications in the treatment and prognosis of patients with colorectal cancers (CRCs). The aim of the present study was to assess tumor perfusion with 256-slice computed tomography (CT) using whole-volume perfusion technology before surgery, and to investigate the differences in the perfusion parameters among tumor grades and the correlation between perfusion parameters and pathologic results in CRC. MATERIALS AND METHODS Thirty-seven patients with CRC confirmed by endoscopic pathology underwent whole-volume perfusion CT assessments with a 256-slice CT and surgery. Quantitative values for blood flow, blood volume, and time to peak were determined using commercial software. After surgery, resected specimens were analyzed immunohistochemically with CD105 antibodies for the quantification of microvessel density (MVD). The difference in CT perfusion parameters and MVD among different tumor differentiation grades was evaluated by the Student-Newman-Keuls test. The correlations between CT perfusion parameters and MVD were evaluated using the Pearson correlation analysis. RESULTS The mean blood flow was significantly different among well, moderately, and poorly differentiated groups (61.17 ± 17.97, 34.80 ± 13.06, and 22.24 ± 9.31 mL/minute/100 g, respectively; P < .05). The blood volume in the well-differentiated group was significantly higher than that in the moderately differentiated group (33.96 ± 24.81 vs. 16.93 ± 5.73 mL/100 g; P = .002) and that in the poorly differentiated group (33.96 ± 24.81 vs. 18.05 ± 6.01 mL/100 g; P = .009). The time to peak in the poorly differentiated group was significantly longer than that in the well-differentiated group (27.81 ± 11.95 vs. 17.60 ± 8.53 seconds; P = .016) and that in the moderately differentiated group (27.81 ± 11.95 vs. 18.94 ± 7.47 seconds; P = .028). There was no significant difference in the MVD among well, moderately, and poorly differentiated groups (33.47 ± 14.69, 28.89 ± 11.82, and 29.89 ± 11.02, respectively; P > .05). There was no significant correlation between CT perfusion parameters and MVD (r = 0.201, 0.295, and -0.178, respectively; P = .233, .076, and .292, respectively). CONCLUSIONS CT whole-volume perfusion technology has the potential to evaluate pathologic differentiation grade of CRC before surgery. However, preoperative perfusion CT parameters do not reflect the MVD of CRC.
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Kramer-Marek G, Gore J, Korc M. Molecular imaging in pancreatic cancer--a roadmap for therapeutic decisions. Cancer Lett 2013; 341:132-8. [PMID: 23941833 PMCID: PMC3902085 DOI: 10.1016/j.canlet.2013.08.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2013] [Revised: 08/01/2013] [Accepted: 08/05/2013] [Indexed: 12/12/2022]
Abstract
Pancreatic ductaladeno carcinoma (PDAC) is a deadly cancer characterized by multiple molecular alterations, the presence of an intense stroma, poor perfusion, and resistance to therapy. In addition to standard imaging techniques, experimental imaging strategies, such as those utilizing molecular probes, nanoparticle-based agents, and tagged antibodies are actively being explored experimentally. It is hoped that advances in these technologies will allow for detecting PDAC at an early stage, and could serve to validate experimental therapies, rapidly identify non-responders, and assist in the design of novel therapeutic strategies tailored to the patient's molecular profile.
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Affiliation(s)
| | - Jesse Gore
- Indiana University School of Medicine, Indianapolis, IN
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Kandel SM, Meyer H, Boehnert M, Hoppel B, Paul NS, Rogalla P. How influential is the duration of contrast material bolus injection in perfusion CT? evaluation in a swine model. Radiology 2013; 270:125-30. [PMID: 24029648 DOI: 10.1148/radiol.13130024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
PURPOSE To analyze the effect of the duration of contrast material bolus injection on perfusion values in a swine model by using the maximum slope method. MATERIALS AND METHODS This study was approved by the institutional animal care committee. Twenty pigs (weight range, 63-77 kg) underwent dynamic volume computed tomography (CT) of the kidneys during suspended respiration. Before the CT examination, a miniature cuff-shaped ultrasonographic flow probe encircling the right renal artery was surgically implanted in each pig to obtain true perfusion values. Two sequential perfusion CT series were performed in 30 seconds, each comprising 30 volumes with identical parameters (100 kV, 200 mAs, 0.5 sec rotation time). The duration of contrast material bolus (0.5 mL/kg of body weight) was 3.8 seconds in the first series (short bolus series) and 11.5 seconds in the second series (long bolus series), and the injection flow rate was adapted accordingly. In each pig, cortical kidney volume was determined by using the volume with the highest cortical enhancement. CT perfusion values were calculated for both series by using the maximum slope method and were statistically compared and correlated with the true perfusion values from the flow probe by using linear regression analysis. RESULTS Mean true perfusion and CT perfusion values (in minutes(-1)) for the short bolus series were 1.95 and 2.03, respectively (P = .22), and for the long bolus series, they were 2.02 and 1.92, respectively (P = .12). CT perfusion showed very good correlation with true perfusion in both the short (slope, 1.01; 95% confidence interval: 0.91, 1.11) and long (slope, 0.92; 95% confidence interval: 0.78, 1.04) series. On the basis of the regression analysis, CT perfusion values in the short bolus series were overestimated by 1% and those in the long bolus series were underestimated by 8%. CONCLUSION Duration of contrast material bolus injection does not influence CT perfusion values substantially. The longer, clinically preferred intravenous injection scheme is sufficiently accurate for CT perfusion.
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Affiliation(s)
- Sonja M Kandel
- From the Department of Medical Imaging, Toronto General Hospital, University of Toronto, 585 University Ave, NCSB 1C560, Toronto, ON, Canada M5G 2N2
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Effect of duration of scan acquisition on CT perfusion parameter values in primary and metastatic tumors in the lung. Eur J Radiol 2013; 82:1811-8. [PMID: 23769187 DOI: 10.1016/j.ejrad.2013.05.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Revised: 05/03/2013] [Accepted: 05/09/2013] [Indexed: 02/03/2023]
Abstract
OBJECTIVES To assess the effect of acquisition duration (T(acq)) and pre-enhancement set points (T₁) on computer tomography perfusion (CT(p)) parameter values in primary and metastatic tumors in the lung. MATERIALS AND METHODS 24 lung CT(p) datasets (10 primary; 14 metastatic), acquired using a two phase protocol spanning 125 s, in 12 patients with lung tumors, were analyzed by deconvolution modeling to yield tumor blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability (PS) values. CT(p) analyses were undertaken for the reference dataset (i.e., T₁=t₀) with varying T(acq) from 12 to 125 s. This was repeated for shifts in T₁ (±0.5 s, ±1.0 s, ±2.0 s relative to the reference at t₀). Resultant CTp values were plotted against T(acq); values at 30 s, 50 s, 65 s and 125 s were compared using linear mixed model. RESULTS All CT(p) parameter values were noticeably influenced by T(acq), with generally less marked changes beyond 50 s, and with no difference in behavior between primary and secondary tumors. Apart from BV, which attained a plateau at approximately 50s, the other three CT(p) parameters did not reach steady-state values within the available 125 s of data, with values at 30 s, 50 s and 65 s significantly different from 125 s (p<0.004). Shifts in T₁ also affected the CT(p) parameters values, with positive shifts having greater impact on CT(p) values than negative shifts. CONCLUSION CT(p) parameter values derived from deconvolution modeling can be markedly affected by T(acq), and pre-enhancement set-points. 50 s acquisition may be adequate for BV, but longer than 125 s is probably required for reliable characterization of the other three CT(p) parameters.
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