|
1
|
Kallini JR, Moriarty JM. Artificial Intelligence in Interventional Radiology. Semin Intervent Radiol 2022; 39:341-347. [PMID: 36062217 PMCID: PMC9433147 DOI: 10.1055/s-0042-1753524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Joseph R. Kallini
- Department of Interventional Radiology, Ronald Reagan UCLA Medical Center, Los Angeles, California
| | - John M. Moriarty
- Department of Interventional Radiology, Ronald Reagan UCLA Medical Center, Los Angeles, California
| |
Collapse
|
|
2
|
Winkel DJ, Breit HC, Weikert TJ, Stieltjes B. Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses. J Digit Imaging 2021; 34:124-133. [PMID: 33469724 PMCID: PMC7887142 DOI: 10.1007/s10278-020-00398-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 09/21/2020] [Accepted: 11/10/2020] [Indexed: 11/27/2022] Open
Abstract
To explore the feasibility of a fully automated workflow for whole-body volumetric analyses based on deep reinforcement learning (DRL) and to investigate the influence of contrast-phase (CP) and slice thickness (ST) on the calculated organ volume. This retrospective study included 431 multiphasic CT datasets—including three CP and two ST reconstructions for abdominal organs—totaling 10,508 organ volumes (10,344 abdominal organ volumes: liver, spleen, and kidneys, 164 lung volumes). Whole-body organ volumes were determined using multi-scale DRL for 3D anatomical landmark detection and 3D organ segmentation. Total processing time for all volumes and mean calculation time per case were recorded. Repeated measures analyses of variance (ANOVA) were conducted to test for robustness considering CP and ST. The algorithm calculated organ volumes for the liver, spleen, and right and left kidney (mean volumes in milliliter (interquartile range), portal venous CP, 5 mm ST: 1868.6 (1426.9, 2157.8), 350.19 (45.46, 395.26), 186.30 (147.05, 214.99) and 181.91 (143.22, 210.35), respectively), and for the right and left lung (2363.1 (1746.3, 2851.3) and 1950.9 (1335.2, 2414.2)). We found no statistically significant effects of the variable contrast phase or the variable slice thickness on the organ volumes. Mean computational time per case was 10 seconds. The evaluated approach, using state-of-the art DRL, enables a fast processing of substantial amounts irrespective of CP and ST, allowing building up organ-specific volumetric databases. The thus derived volumes may serve as reference for quantitative imaging follow-up.
Collapse
Affiliation(s)
- David J Winkel
- Department of Radiology, University Hospital of Basel, Basel, Basel-Stadt, Switzerland.
| | - Hanns-Christian Breit
- Department of Radiology, University Hospital of Basel, Basel, Basel-Stadt, Switzerland
| | - Thomas J Weikert
- Department of Radiology, University Hospital of Basel, Basel, Basel-Stadt, Switzerland
| | - Bram Stieltjes
- Department of Radiology, University Hospital of Basel, Basel, Basel-Stadt, Switzerland
| |
Collapse
|
|
3
|
Meyers N, Jadoul A, Bernard C, Delwaide J, Lamproye A, Detry O, Honoré P, Gerard L, Hustinx R. Inter-observer variability of 90Y PET/CT dosimetry in hepatocellular carcinoma after glass microspheres transarterial radioembolization. EJNMMI Phys 2020; 7:29. [PMID: 32399636 PMCID: PMC7218042 DOI: 10.1186/s40658-020-00302-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 04/29/2020] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Strong correlation has been demonstrated between tumor dose and response and between healthy liver dose and side effects. Individualized dosimetry is increasingly recommended in the current clinical routine. However, hepatic and tumor segmentations could be complex in some cases. The aim of this study is to assess the reproducibility of the tumoral and non-tumoral liver dosimetry in selective internal radiation therapy (SIRT). MATERIAL AND METHODS Twenty-three patients with hepatocellular carcinoma (HCC) who underwent SIRT with glass microspheres were retrospectively included in the study. Tumor (TV) and total liver volumes (TLV), and mean absorbed doses in tumoral liver (TD) and non-tumoral liver (THLD) were determined on the 90Y PET/CT studies using Simplicit90YTM software, by three independent observers. Dosimetry datasets were obtained by a medical physicist helped by a nuclear medicine (NM) physician with 10 years of experience (A), by a NM physician with 4-year experience (B), and by a resident who first performed 10 dosimetry assessments as a training (C). Inter-observer agreement was evaluated using intra-class correlation coefficients (ICC), coefficients of variation (CV), Bland-Altman plots, and reproducibility coefficient (RDC). RESULTS A strong agreement was observed between all three readers for estimating TLV (ICC 0.98) and THLD (ICC 0.97). Agreement was lower for TV delineation (ICC 0.94) and particularly for TD (ICC 0.73), especially for the highest values. Regarding TD, the CV (%) was 26.5, 26.9, and 20.2 between observers A and B, A and C, and B and C, respectively, and the RDC was 1.5. Regarding THLD, it was 8.5, 12.7, and 9.4, and the RDC was 1.3. CONCLUSION Using a standardized methodology, and regardless of the different experiences of the observers, the estimation of THLD is highly reproducible. Although the reproducibility of the assessment of tumor irradiation is overall quite high, large variations may be observed in a limited number of patients.
Collapse
Affiliation(s)
- Nicolas Meyers
- Division of Nuclear Medicine and Oncological Imaging, CHU de Liege, University Hospital of Liege, B35 Domaine Universitaire du Sart-Tilman, 4000, Liege, Belgium.
| | - Alexandre Jadoul
- Division of Nuclear Medicine and Oncological Imaging, CHU de Liege, University Hospital of Liege, B35 Domaine Universitaire du Sart-Tilman, 4000, Liege, Belgium
| | - Claire Bernard
- Division of Nuclear Medicine and Oncological Imaging, CHU de Liege, University Hospital of Liege, B35 Domaine Universitaire du Sart-Tilman, 4000, Liege, Belgium
| | - Jean Delwaide
- Division of Hepato-Gastroenterology and Digestive Oncology, University Hospital of Liege, Liege, Belgium
| | - Anne Lamproye
- Division of Hepato-Gastroenterology and Digestive Oncology, University Hospital of Liege, Liege, Belgium
| | - Olivier Detry
- Division of Abdominal Surgery and Transplantation, University Hospital of Liege, Liege, Belgium
| | - Pierre Honoré
- Division of Abdominal Surgery and Transplantation, University Hospital of Liege, Liege, Belgium
| | - Laurent Gerard
- Division of Radiology, University Hospital of Liege, Liege, Belgium
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, CHU de Liege, University Hospital of Liege, B35 Domaine Universitaire du Sart-Tilman, 4000, Liege, Belgium
| |
Collapse
|
|
4
|
Winkel DJ, Weikert TJ, Breit HC, Chabin G, Gibson E, Heye TJ, Comaniciu D, Boll DT. Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation. Eur J Radiol 2020; 126:108918. [PMID: 32171914 DOI: 10.1016/j.ejrad.2020.108918] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 01/29/2020] [Accepted: 02/23/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE To evaluate the performance of an artificial intelligence (AI) based software solution tested on liver volumetric analyses and to compare the results to the manual contour segmentation. MATERIALS AND METHODS We retrospectively obtained 462 multiphasic CT datasets with six series for each patient: three different contrast phases and two slice thickness reconstructions (1.5/5 mm), totaling 2772 series. AI-based liver volumes were determined using multi-scale deep-reinforcement learning for 3D body markers detection and 3D structure segmentation. The algorithm was trained for liver volumetry on approximately 5000 datasets. We computed the absolute error of each automatically- and manually-derived volume relative to the mean manual volume. The mean processing time/dataset and method was recorded. Variations of liver volumes were compared using univariate generalized linear model analyses. A subgroup of 60 datasets was manually segmented by three radiologists, with a further subgroup of 20 segmented three times by each, to compare the automatically-derived results with the ground-truth. RESULTS The mean absolute error of the automatically-derived measurement was 44.3 mL (representing 2.37 % of the averaged liver volumes). The liver volume was neither dependent on the contrast phase (p = 0.697), nor on the slice thickness (p = 0.446). The mean processing time/dataset with the algorithm was 9.94 s (sec) compared to manual segmentation with 219.34 s. We found an excellent agreement between both approaches with an ICC value of 0.996. CONCLUSION The results of our study demonstrate that AI-powered fully automated liver volumetric analyses can be done with excellent accuracy, reproducibility, robustness, speed and agreement with the manual segmentation.
Collapse
Affiliation(s)
- David J Winkel
- Department of Radiology, University Hospital of Basel, Basel, Switzerland; Siemens Healthineers, Medical Imaging Technologies, Princeton, NJ, USA.
| | - Thomas J Weikert
- Department of Radiology, University Hospital of Basel, Basel, Switzerland
| | | | - Guillaume Chabin
- Siemens Healthineers, Medical Imaging Technologies, Princeton, NJ, USA
| | - Eli Gibson
- Siemens Healthineers, Medical Imaging Technologies, Princeton, NJ, USA
| | - Tobias J Heye
- Department of Radiology, University Hospital of Basel, Basel, Switzerland
| | - Dorin Comaniciu
- Siemens Healthineers, Medical Imaging Technologies, Princeton, NJ, USA
| | - Daniel T Boll
- Department of Radiology, University Hospital of Basel, Basel, Switzerland
| |
Collapse
|
|
5
|
Baidya Kayal E, Kandasamy D, Sharma R, Sharma MC, Bakhshi S, Mehndiratta A. SLIC-supervoxels-based response evaluation of osteosarcoma treated with neoadjuvant chemotherapy using multi-parametric MR imaging. Eur Radiol 2020; 30:3125-3136. [PMID: 32086578 DOI: 10.1007/s00330-019-06647-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 12/01/2019] [Accepted: 12/18/2019] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Histopathological examination (HPE) is the current gold standard for assessing chemotherapy response to tumor, but it is possible only after surgery. The purpose of the study was to develop a noninvasive, imaging-based robust method to delineate, visualize, and quantify the proportions of necrosis and viable tissue present within the tumor along with peritumoral edema before and after neoadjuvant chemotherapy (NACT) and to evaluate treatment response with correlation to HPE necrosis after surgery. METHODS The MRI dataset of 30 patients (N = 30; male:female = 24:6; age = 17.6 ± 2.7 years) with osteosarcoma was acquired using 1.5 T Philips Achieva MRI scanner before (baseline) and after 3 cycles of NACT (follow-up). After NACT, all patients underwent surgical resection followed by HPE. Simple linear iterative clustering supervoxels and Otsu multithresholding were combined to develop the proposed method-SLICs+MTh-to subsegment and quantify viable and nonviable regions within tumor using multiparametric MRI. Manually drawn ground-truth ROIs and SLICs+MTh-based segmentation of tumor, edema, and necrosis were compared using Jacquard index (JI), Dice coefficient (DC), precision (P), and recall (R). Postcontrast T1W images (PC-T1W) were used to validate the SLICs+MTh-based necrosis. SLICs+MTh-based necrosis volume at follow-up was compared with HPE necrosis using paired t test (p ≤ 0.05). RESULTS Active tumor, necrosis, and edema were segmented with moderate to satisfactory accuracy (JI = 62-78%; DC = 72-87%; P = 67-87%; R = 63-88%). Qualitatively and quantitatively (DC = 74 ± 9%), the SLICs+MTh-based necrosis area correlated well with the hypointense necrosis areas in PC-T1W. No significant difference (paired t test, p = 0.26; Bland-Altman plot, bias = 2.47) between SLICs+MTh-based necrosis at follow-up and HPE necrosis was observed. CONCLUSION The proposed multiparametric MRI-based SLICs+MTh method performs noninvasive assessment of NACT response in osteosarcoma that may improve cancer treatment monitoring, planning, and overall prognosis. KEY POINTS • The simple linear iterative clustering supervoxels and Otsu multithresholding-based technique (SLICs+MTh) successfully estimates the proportion of necrosis, viable tumor, and edema in osteosarcoma in the course of chemotherapy. • The proposed technique is noninvasive and uses multiparametric MRI to measure necrosis as an indication of anticancer treatment response. • SLICs+MTh-based necrosis was in satisfactory agreement with histological necrosis after surgery.
Collapse
Affiliation(s)
- Esha Baidya Kayal
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India
| | | | - Raju Sharma
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Mehar C Sharma
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Sameer Bakhshi
- Department of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), All India Institute of Medical Sciences, New Delhi, India
| | - Amit Mehndiratta
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India. .,Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India.
| |
Collapse
|
|
6
|
Lauenstein TC, Schelhorn J, Kinner S. Assessment of Tumor Response with MRI and CT After Radioembolization. Clin Nucl Med 2020. [DOI: 10.1007/978-3-030-39457-8_37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
|
7
|
Patella F, Pesapane F, Fumarola E, Zannoni S, Brambillasca P, Emili I, Costa G, Anderson V, Levy EB, Carrafiello G, Wood BJ. Assessment of the response of hepatocellular carcinoma to interventional radiology treatments. Future Oncol 2019; 15:1791-1804. [PMID: 31044615 DOI: 10.2217/fon-2018-0747] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
According to Barcelona Clinic Liver Cancer (BCLC) guidelines, interventional radiology procedures are valuable treatment options for many hepatocellular carcinomas (HCCs) that are not amenable to resection or transplantation. Accurate assessment of the efficacy of therapies at earlier stages enables completion of treatment, optimal follow-up and to prevent potentially unnecessary treatments, side effects and costly failure. The goal of this review is to summarize and describe the radiological strategies that have been proposed to predict survival and to stratify HCC responses after interventional radiology therapies. New techniques currently in development are also described.
Collapse
Affiliation(s)
- Francesca Patella
- Postgraduate School of Radiodiagnostics, University of Milan, Milan, Italy.,Center for Interventional Oncology, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Filippo Pesapane
- Postgraduate School of Radiodiagnostics, University of Milan, Milan, Italy.,Center for Interventional Oncology, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Enrico Fumarola
- Postgraduate School of Radiodiagnostics, University of Milan, Milan, Italy.,Center for Interventional Oncology, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stefania Zannoni
- Postgraduate School of Radiodiagnostics, University of Milan, Milan, Italy
| | | | - Ilaria Emili
- Postgraduate School of Radiodiagnostics, University of Milan, Milan, Italy
| | - Guido Costa
- Università degli Studi di Milano, Postgraduate School of General Surgery, Milan, Italy
| | - Victoria Anderson
- Center for Interventional Oncology, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Elliot B Levy
- Center for Interventional Oncology, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Bradford J Wood
- Center for Interventional Oncology, National Cancer Institute, NIH, Bethesda, MD, USA
| |
Collapse
|
|
8
|
Jafargholi Rangraz E, Coudyzer W, Maleux G, Baete K, Deroose CM, Nuyts J. Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization. EJNMMI Res 2019; 9:19. [PMID: 30788640 PMCID: PMC6382918 DOI: 10.1186/s13550-019-0485-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 01/29/2019] [Indexed: 12/15/2022] Open
Abstract
Purpose We have developed a multi-modal imaging approach for SIRT, combining 99mTc-MAA SPECT/CT and/or 90Y PET, 18F-FDG PET/CT, and contrast-enhanced CBCT for voxel-based dosimetry, as a tool for treatment planning and verification. For radiation dose prediction calculations, a segmentation of the total liver volume and of the liver perfusion territories is required. Method In this paper, we proposed a procedure for multi-modal image analysis to assist SIRT treatment planning. The pre-treatment 18F-FDG PET/CT, 99mTc-MAA SPECT/CT, and contrast-enhanced CBCT images were registered to a common space using an initial rigid, followed by a deformable registration. The registration was scored by an expert using Likert scores. The total liver was segmented semi-automatically based on the PET/CT and SPECT/CT images, and the liver perfusion territories were determined based on the CBCT images. The segmentations of the liver and liver lobes were compared to the manual segmentations by an expert on a CT image. Result Our methodology showed that multi-modal image analysis can be used for determination of the liver and perfusion territories using CBCT in SIRT using all pre-treatment studies. The results for image registration showed acceptable alignment with limited impact on dosimetry. The image registration performs well according to the expert reviewer (scored as perfect or with little misalignment in 94% of the cases). The semi-automatic liver segmentation agreed well with manual liver segmentation (dice coefficient of 0.92 and an average Hausdorff distance of 3.04 mm). The results showed disagreement between lobe segmentation using CBCT images compared to lobe segmentation based on CT images (average Hausdorff distance of 14.18 mm), with a high impact on the dosimetry (differences up to 9 Gy for right and 21 Gy for the left liver lobe). Conclusion This methodology can be used for pre-treatment dosimetry and for SIRT planning including the determination of the activity that should be administered to achieve the therapeutical goal. The inclusion of perfusion CBCT enables perfusion-based definition of the liver lobes, which was shown to be markedly different from the anatomical definition in some of the patients.
Collapse
Affiliation(s)
| | - Walter Coudyzer
- Radiology Section, Department of imaging and pathology, UZ Leuven, Leuven, Belgium
| | - Geert Maleux
- Radiology Section, Department of imaging and pathology, UZ & KU Leuven, Leuven, Belgium
| | - Kristof Baete
- Nuclear Medicine, Department of imaging and pathology, UZ & KU Leuven, Leuven, Belgium
| | - Christophe M Deroose
- Nuclear Medicine, Department of imaging and pathology, UZ & KU Leuven, Leuven, Belgium
| | - Johan Nuyts
- Nuclear Medicine, Department of imaging and pathology, UZ & KU Leuven, Leuven, Belgium
| |
Collapse
|
|
9
|
18F-FCH and 90Y PET/CT data for the early evaluation of HCC radioembolisation. Clin Transl Imaging 2018. [DOI: 10.1007/s40336-018-0295-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
|
|
10
|
Chansanti O, Jahangiri Y, Matsui Y, Adachi A, Geeratikun Y, Kaufman JA, Kolbeck KJ, Stevens JS, Farsad K. Tumor Dose Response in Yttrium-90 Resin Microsphere Embolization for Neuroendocrine Liver Metastases: A Tumor-Specific Analysis with Dose Estimation Using SPECT-CT. J Vasc Interv Radiol 2017; 28:1528-1535. [DOI: 10.1016/j.jvir.2017.07.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 07/10/2017] [Accepted: 07/11/2017] [Indexed: 10/18/2022] Open
|
|
11
|
Tovoli F, Renzulli M, Granito A, Golfieri R, Bolondi L. Radiologic criteria of response to systemic treatments for hepatocellular carcinoma. Hepat Oncol 2017; 4:129-137. [PMID: 30191059 PMCID: PMC6096444 DOI: 10.2217/hep-2017-0018] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2017] [Accepted: 10/16/2017] [Indexed: 02/07/2023] Open
Abstract
Sorafenib has been the only approved systemic therapy for hepatocellular carcinoma until very recently. However, the radiologic assessment of its biological activity is a disputed matter as at least five different criteria have been proposed. In this review, we describe the characteristic of the Response Evaluation Criteria In Solid Tumors (RECIST), European Association for the Study of The Liver (EASL), modified RECIST (mRECIST), Response Evaluation Criteria In the Cancer of the Liver (RECICL) and Choi criteria. The existing comparative studies are reported together with recent pieces of evidence, analyzing the reasons behind the split between recommendations of the scientific societies and regulatory agencies. Future perspectives in the wake of the impending results of the immunotherapy trials are also discussed.
Collapse
Affiliation(s)
- Francesco Tovoli
- Department of Medical & Surgical Sciences, University of Bologna, Italy
- *Author for correspondence: Tel.: +39 051 214 2214; Fax: +39 051 214 2725;
| | - Matteo Renzulli
- Radiology Unit, S.Orsola-Malpighi Bologna University Hospital, Italy
| | | | - Rita Golfieri
- Radiology Unit, S.Orsola-Malpighi Bologna University Hospital, Italy
| | - Luigi Bolondi
- Department of Medical & Surgical Sciences, University of Bologna, Italy
| |
Collapse
|
|
12
|
Dreizin D, Bodanapally UK, Neerchal N, Tirada N, Patlas M, Herskovits E. Volumetric analysis of pelvic hematomas after blunt trauma using semi-automated seeded region growing segmentation: a method validation study. Abdom Radiol (NY) 2016; 41:2203-2208. [PMID: 27349420 DOI: 10.1007/s00261-016-0822-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Manually segmented traumatic pelvic hematoma volumes are strongly predictive of active bleeding at conventional angiography, but the method is time intensive, limiting its clinical applicability. We compared volumetric analysis using semi-automated region growing segmentation to manual segmentation and diameter-based size estimates in patients with pelvic hematomas after blunt pelvic trauma. MATERIALS AND METHODS A 14-patient cohort was selected in an anonymous randomized fashion from a dataset of patients with pelvic binders at MDCT, collected retrospectively as part of a HIPAA-compliant IRB-approved study from January 2008 to December 2013. To evaluate intermethod differences, one reader (R1) performed three volume measurements using the manual technique and three volume measurements using the semi-automated technique. To evaluate interobserver differences for semi-automated segmentation, a second reader (R2) performed three semi-automated measurements. One-way analysis of variance was used to compare differences in mean volumes. Time effort was also compared. Correlation between the two methods as well as two shorthand appraisals (greatest diameter, and the ABC/2 method for estimating ellipsoid volumes) was assessed with Spearman's rho (r). RESULTS Intraobserver variability was lower for semi-automated compared to manual segmentation, with standard deviations ranging between ±5-32 mL and ±17-84 mL, respectively (p = 0.0003). There was no significant difference in mean volumes between the two readers' semi-automated measurements (p = 0.83); however, means were lower for the semi-automated compared with the manual technique (manual: mean and SD 309.6 ± 139 mL; R1 semi-auto: 229.6 ± 88.2 mL, p = 0.004; R2 semi-auto: 243.79 ± 99.7 mL, p = 0.021). Despite differences in means, the correlation between the two methods was very strong and highly significant (r = 0.91, p < 0.001). Correlations with diameter-based methods were only moderate and nonsignificant. Mean semi-automated segmentation time effort was 2 min and 6 s and 2 min and 35 s for R1 and R2, respectively, vs. 22 min and 8 s for manual segmentation. CONCLUSION Semi-automated pelvic hematoma volumes correlate strongly with manually segmented volumes. Since semi-automated segmentation can be performed reliably and efficiently, volumetric analysis of traumatic pelvic hematomas is potentially valuable at the point-of-care.
Collapse
Affiliation(s)
- David Dreizin
- Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, 22 South Greene Street, Baltimore, MD, 21201, USA.
| | - Uttam K Bodanapally
- Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, 22 South Greene Street, Baltimore, MD, 21201, USA
| | - Nagaraj Neerchal
- Department of Mathematics and Statistics, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA
| | - Nikki Tirada
- Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Michael Patlas
- Emergency Radiology Division, Department of Radiology, Hamilton General Hospital, 237 Barton Street, East Hamilton, ON, Canada
| | - Edward Herskovits
- Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, 22 South Greene Street, Baltimore, MD, 21201, USA
| |
Collapse
|
|
13
|
Associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) in colorectal liver metastasis: the radiologist's perspective. Abdom Radiol (NY) 2016; 41:2150-2160. [PMID: 27377899 DOI: 10.1007/s00261-016-0832-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE Hepatic resection is the only potentially curative treatment for patients with colorectal liver metastasis (CRLM). Many multidisciplinary approaches, including the associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) procedure, have been proposed to increase the resectability rate in these patients. ALPPS is the most recently described staged liver resection technique, representing an advantageous strategy to induce a rapid and marked increase in the future liver remnant (FLR) volume. The aim of this article is to describe the radiological evaluation of this procedure and its variation. METHODS This retrospective study included 9 patients with CRLM who underwent the ALPPS procedure. Abdominal imaging studies were reviewed, with an emphasis on a rational radiological approach. The number of liver metastases, the FLR volume (pre- and postportal vein ligation), anatomical variations, potential pitfalls related to disease progression, and postoperative complications were evaluated. RESULTS The types of hepatic resection included 4 classical ALPPS cases, 3 right ALPPS variations, and 2 left ALPPS variations. The mean FLR volume calculated in the initial evaluation was 453 mL (213-790 mL). Following the first surgery, the mean FLR volume increased to 634 mL (410-957 mL), which indicated a mean volume increase of 181.1 mL (95% CI 149.7-212.5 mL; p < 0.001) and a mean absolute volume increase of 48% (19%-88%). CONCLUSION The ALPPS procedure is an emerging form of two-stage hepatectomy. In this context, radiologists should provide crucial preoperative and perioperative information that may change surgical planning and contribute to an improvement in the oncologic outcome.
Collapse
|
|
14
|
Colagrande S, Inghilesi AL, Aburas S, Taliani GG, Nardi C, Marra F. Challenges of advanced hepatocellular carcinoma. World J Gastroenterol 2016; 22:7645-7659. [PMID: 27678348 PMCID: PMC5016365 DOI: 10.3748/wjg.v22.i34.7645] [Citation(s) in RCA: 128] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 07/06/2016] [Accepted: 08/08/2016] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is an aggressive malignancy, resulting as the third cause of death by cancer each year. The management of patients with HCC is complex, as both the tumour stage and any underlying liver disease must be considered conjointly. Although surveillance by imaging, clinical and biochemical parameters is routinely performed, a lot of patients suffering from cirrhosis have an advanced stage HCC at the first diagnosis. Advanced stage HCC includes heterogeneous groups of patients with different clinical condition and radiological features and sorafenib is the only approved treatment according to Barcelona Clinic Liver Cancer. Since the introduction of sorafenib in clinical practice, several phase III clinical trials have failed to demonstrate any superiority over sorafenib in the frontline setting. Loco-regional therapies have also been tested as first line treatment, but their role in advanced HCC is still matter of debate. No single agent or combination therapies have been shown to impact outcomes after sorafenib failure. Therefore this review will focus on the range of experimental therapeutics for patients with advanced HCC and highlights the successes and failures of these treatments as well as areas for future development. Specifics such as dose limiting toxicity and safety profile in patients with liver dysfunction related to the underlying chronic liver disease should be considered when developing therapies in HCC. Finally, robust validated and reproducible surrogate end-points as well as predictive biomarkers should be defined in future randomized trials.
Collapse
|
|
15
|
Sacco R, Conte C, Tumino E, Parisi G, Marceglia S, Metrangolo S, Eggenhoffner R, Bresci G, Cabibbo G, Giacomelli L. Transarterial radioembolization for hepatocellular carcinoma: a review. J Hepatocell Carcinoma 2016; 3:25-9. [PMID: 27574589 PMCID: PMC4994804 DOI: 10.2147/jhc.s50359] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common type of liver cancer and is the second cause of death due to malignancy in the world. The treatment of HCC is complex and includes potentially curative and palliative approaches. However, both curative and palliative treatments for HCC are often associated with a not-completely favorable safety/efficacy ratio. Therefore, other treatment options appear necessary in clinical practice. Transarterial radioembolization has shown a promising efficacy in terms of disease control and is associated with a good safety profile. This review discusses the use of transarterial radioembolization in HCC, with a focus on the clinical aspects of this therapeutic strategy.
Collapse
Affiliation(s)
- Rodolfo Sacco
- Department of Gastroenterology, Cisanello Hospital, Pisa
| | - Caterina Conte
- Endocrinology and Metabolic Diseases, Policlinico A. Gemelli, Università Cattolica del Sacro Cuore, Rome
| | | | | | - Sara Marceglia
- Department of Engineering and Architecture, University of Trieste, Trieste
| | | | - Roberto Eggenhoffner
- Department of Surgical Sciences and Integrated Diagnostics, School of Medicine, Genova University, Genoa
| | | | - Giuseppe Cabibbo
- Section of Gastroenterology, DIBIMIS, University of Palermo, Palermo, Italy
| | - Luca Giacomelli
- Department of Surgical Sciences and Integrated Diagnostics, School of Medicine, Genova University, Genoa
| |
Collapse
|
|
16
|
Sacco R, Giorgi L, Fornaro L, Bargellini I. Trans-Arterial Radioembolization for Hepatocellular Carcinoma. Dig Dis 2015; 33:661-7. [PMID: 26398498 DOI: 10.1159/000438476] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
This article offers an overview of a new therapeutic option in hepatocellular carcinoma using trans-arterial radioembolization. In particular, it covers practical aspects of the technique and the currently available preliminary data in terms of disease control. We explore the potentials of radioembolization both in early and advanced stages of the disease, as single treatment and as companion to targeted agents such as sorafenib.
Collapse
Affiliation(s)
- Rodolfo Sacco
- Department of Gastroenterology, Pisa University Hospital, Pisa, Italy
| | | | | | | |
Collapse
|
|
17
|
Bajpai S, Kambadakone A, Guimaraes AR, Arellano RS, Gervais DA, Sahani D. Image-guided Treatment in the Hepatobiliary System: Role of Imaging in Treatment Planning and Posttreatment Evaluation. Radiographics 2015; 35:1393-418. [DOI: 10.1148/rg.2015140281] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
|
|
18
|
Sacco R. Assessment of radiologic response to targeted therapies in patients with hepatocellular carcinoma. Future Oncol 2015; 10:2073-9. [PMID: 25396778 DOI: 10.2217/fon.14.92] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The development of new treatment options for hepatocellular carcinoma has changed not only the way in which cancer is treated, but also how it is diagnosed, especially the assessment of tumor response. The traditional radiologic methods, which are mainly based on the evaluation of changes in tumor size, are considered to be insufficiently sensitive and unreliable for determining tumor progression when targeted therapies such as sorafenib are involved. Several lines of research are currently focusing on the development of new assessment tools that try to combine morphological and vascular functional data in order to obtain an accurate measurement of tumor characteristics, such as volume, density or vascularization. This article presents some of the new instruments that have reported positive results.
Collapse
|
|
19
|
Sacco R, Mismas V, Marceglia S, Romano A, Giacomelli L, Bertini M, Federici G, Metrangolo S, Parisi G, Tumino E, Bresci G, Corti A, Tredici M, Piccinno M, Giorgi L, Bartolozzi C, Bargellini I. Transarterial radioembolization for hepatocellular carcinoma: An update and perspectives. World J Gastroenterol 2015; 21:6518-25. [PMID: 26074690 PMCID: PMC4458762 DOI: 10.3748/wjg.v21.i21.6518] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Revised: 03/13/2015] [Accepted: 04/28/2015] [Indexed: 02/06/2023] Open
Abstract
In the last decade trans-arterial radioembolization has given promising results in the treatment of patients with intermediate or advanced stage hepatocellular carcinoma (HCC), both in terms of disease control and tolerability profile. This technique consists of the selective intra-arterial administration of microspheres loaded with a radioactive compound (usually Yttrium(90)), and exerts its therapeutic effect through the radiation carried by these microspheres. A careful and meticulous selection of patients is crucial before performing the radioembolization to correctly perform the procedure and reduce the incidence of complications. Radioembolization is a technically complex and expensive technique, which has only recently entered clinical practice and is supported by scant results from phase III clinical trials. Nevertheless, it may represent a valid alternative to transarterial chemoembolization (TACE) in the treatment of intermediate-stage HCC patients, as shown by a comparative retrospective assessment that reported a longer time to progression, but not of overall survival, and a more favorable safety profile for radioembolization. In addition, this treatment has reported a higher percentage of tumor shrinkage, if compared to TACE, for pre-transplant downsizing and it represents a promising therapeutic option in patients with large extent of disease and insufficient residual liver volume who are not immediately eligible for surgery. Radioembolization might also be a suitable companion to sorafenib in advanced HCC or it can be used as a potential alternative to this treatment in patients who are not responding or do not tolerate sorafenib.
Collapse
|
|
20
|
|
|
21
|
Sacco R, Mismas V, Romano A, Bertini M, Bertoni M, Federici G, Metrangolo S, Parisi G, Tumino E, Bresci G, Giacomelli L, Marceglia S, Bargellini I. Assessment of clinical and radiological response to sorafenib in hepatocellular carcinoma patients. World J Hepatol 2015; 7:33-39. [PMID: 25624994 PMCID: PMC4295191 DOI: 10.4254/wjh.v7.i1.33] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Revised: 10/10/2014] [Accepted: 11/19/2014] [Indexed: 02/06/2023] Open
Abstract
Sorafenib is an effective anti-angiogenic treatment for hepatocellular carcinoma (HCC). The assessment of tumor progression in patients treated with sorafenib is crucial to help identify potentially-resistant patients, avoiding unnecessary toxicities. Traditional methods to assess tumor progression are based on variations in tumor size and provide unreliable results in patients treated with sorafenib. New methods to assess tumor progression such as the modified Response Evaluation Criteria in Solid Tumors or European Association for the Study of Liver criteria are based on imaging to measure the vascularization and tumor volume (viable or necrotic). These however fail especially when the tumor response results in irregular development of necrotic tissue. Newer assessment techniques focus on the evaluation of tumor volume, density or perfusion. Perfusion computed tomography and Dynamic Contrast-Enhanced-UltraSound can measure the vascularization of HCC lesions and help predict tumor response to anti-angiogenic therapies. Mean Transit Time is a possible predictive biomarker to measure tumor response. Volumetric techniques are reliable, reproducible and time-efficient and can help measure minimal changes in viable tumor or necrotic tissue, allowing the prompt identification of non-responders. Volume ratio may be a reproducible biomarker for tumor response. Larger trials are needed to confirm the use of these techniques in the prediction of response to sorafenib.
Collapse
|
|
22
|
Bargellini I, Scionti A, Mismas V, Masi G, Vivaldi C, Bartolozzi C, Sacco R. Identification of responders to sorafenib in hepatocellular carcinoma: is tumor volume measurement the way forward? Oncology 2014; 86:191-8. [PMID: 24800837 DOI: 10.1159/000358599] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2013] [Accepted: 12/20/2013] [Indexed: 01/19/2023]
Abstract
OBJECTIVES Early assessment of hepatocellular carcinoma (HCC) response during sorafenib (SO) treatment is challenging, since tumor necrosis, extension and radiological appearance can be inhomogeneous. We evaluated the predictive value of different imaging criteria - such as Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, European Association for the Study of the Liver (EASL), modified RECIST (mRECIST), tumor density and volume variations - in the early follow-up of SO treatment. METHODS The study included 22 patients. CT images from baseline and 2 months were reviewed to assess response according to RECIST 1.1, mRECIST, EASL, Choi's criteria (decreased tumor density by ≥15%) and arterial-enhancing tumor volume ratio; α-fetoprotein (AFP) variations were expressed as AFP ratio. RESULTS The response criteria and volume measurements were reproducible (k > 0.80). The overall disease control rate was 40.9% by EASL and mRECIST, and 27.3% by RECIST 1.1; a ≥15% decrease in tumor density was observed in 9 patients (40.9%). The mean volume ratio was 1.73 ± 2.12, the mean AFP ratio 14 ± 37. The 1-year survival rate was 65.9%. Volume ratio was the only predictive factor for survival, with 1-year cumulative survival rates of 90% for volume ratios ≤1.1 and of 45.4% for volume ratios >1.1 (p = 0.04). CONCLUSIONS Tumor volume measurements are reproducible and might provide an early predictive marker of response in HCC patients treated with SO.
Collapse
Affiliation(s)
- Irene Bargellini
- Department of Diagnostic and Interventional Radiology, Pisa University Hospital, Pisa, Italy
| | | | | | | | | | | | | |
Collapse
|
|
23
|
Gonzalez-Guindalini FD, Botelho MPF, Harmath CB, Sandrasegaran K, Miller FH, Salem R, Yaghmai V. Assessment of Liver Tumor Response to Therapy: Role of Quantitative Imaging. Radiographics 2013; 33:1781-800. [DOI: 10.1148/rg.336135511] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
|
24
|
Monsky WL, Jin B, Molloy C, Canter RJ, Li CS, Lin TC, Borys D, Mack W, Kim I, Buonocore MH, Chaudhari AJ. Semi-automated volumetric quantification of tumor necrosis in soft tissue sarcoma using contrast-enhanced MRI. Anticancer Res 2012; 32:4951-4961. [PMID: 23155265 PMCID: PMC4180491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND Response Evaluation Criteria in Solid Tumors (RECIST)-defined measurements are limited when evaluating soft tissue sarcoma (STS) response to therapy. Histopathological assessment of STS response requires a determination of necrosis following resection. A novel semi-automated technique for volumetric measurement of tumor necrosis, using enhanced magnetic resonance imaging (CE-MRI), is described. PATIENTS AND METHODS Eighteen patients with STS were treated with neoadjuvant therapy and then resected. CE-MRI, obtained prior to resection, were evaluated by two observers using semi-automated segmentation. Tumor volume and percent necrosis was compared with histology and RECIST measurements. RESULTS The median percent necrosis, determined histologically and from CE-MRI, was 71.9% and 67.8%, respectively. Accuracy of these semi-automated measurements was confirmed, being statistically similar to those obtained at histopathological assessment of the resected tumor. High Intra-class correlation co-efficients suggest good inter-observer reproducibility. Tumor necrosis did not correlate with the RECIST measurements. CONCLUSION Semi-automated determination of tumor volume and necrosis, using CE-MRI, is suggested to be accurate and reproducible.
Collapse
Affiliation(s)
- Wayne L Monsky
- University of California Davis Medical Center, Department of Radiology, Sacramento, CA, USA.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
|
25
|
Galizia MS, Töre HG, Chalian H, McCarthy R, Salem R, Yaghmai V. MDCT necrosis quantification in the assessment of hepatocellular carcinoma response to yttrium 90 radioembolization therapy: comparison of two-dimensional and volumetric techniques. Acad Radiol 2012; 19:48-54. [PMID: 22054801 DOI: 10.1016/j.acra.2011.09.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2010] [Revised: 09/05/2011] [Accepted: 06/02/2010] [Indexed: 12/13/2022]
Abstract
RATIONALE AND OBJECTIVES The purpose of this study is to evaluate the reproducibility and agreement of tumor necrosis quantification performed by two-dimensional and volumetric methods in a cohort of patients with hepatocellular carcinoma (HCC) treated with yttrium-90 ((90)Y) radioembolization. MATERIALS AND METHODS Twenty-nine consecutive patients (21 men, 8 women; mean age 66.6 years; age range, 44-90 years) with HCC treated with (90)Y radioembolization that underwent liver multidetector computed tomography (MDCT) were included. Two independent radiologists evaluated the necrosis proportion of the lesions with two-dimensional (2D) measurements according to the European Association for the Study of the Liver guidelines, and with a volumetric method using a voxel-by-voxel analysis. Interobserver reproducibility for each method was assessed by using within-subject coefficients of variation (WSCV), intraclass correlation coefficients (ICC), and Lin's concordance correlation coefficients (LCC). Agreement between both methods was assessed by using the Bland-Altman plot and the paired t-test. RESULTS The volumetric method was more reproducible (WSCV = 27.8%; ICC = 0.914; LCC = 0.909) than the 2D (WSCV = 43.8%; ICC = 0.723; LCC = 0.841). There was a significant difference in the mean calculated necrosis proportions based on 2D and volumetric methods (P = .0129). CONCLUSION Voxel-by-voxel quantification of HCC necrosis is a more reproducible method than 2D analysis.
Collapse
Affiliation(s)
- Mauricio Stanzione Galizia
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University-Feinberg School of Medicine, 676 North Saint Clair Street, Suite 800, Chicago, IL 60611, USA
| | | | | | | | | | | |
Collapse
|
|
26
|
Sideras PA, Sofocleous CT, Brody LA, Siegelbaum RH, Shah RP, Taskar NP. Superselective Internal Radiation With Yttrium-90 Microspheres in the Management of a Chemorefractory Testicular Liver Metastasis. Cardiovasc Intervent Radiol 2011; 35:426-9. [DOI: 10.1007/s00270-011-0226-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2011] [Accepted: 06/25/2011] [Indexed: 12/24/2022]
|