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Krishna SG, Ardeshna DR, Shah ZK, Hart PA, Culp S, Jones D, Chen W, Papachristou GI, Han S, Lee PJ, Shah H, Pawlik TM, Dillhoff M, Manilchuk A, Cloyd J JM, Ejaz A, Fry M, Noonan AM. Intracystic injection of large surface area microparticle paclitaxel for chemoablation of intraductal papillary mucinous neoplasms: Insights from an expanded access protocol. Pancreatology 2024; 24:289-297. [PMID: 38238194 DOI: 10.1016/j.pan.2023.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/20/2023] [Accepted: 12/29/2023] [Indexed: 03/02/2024]
Abstract
AIMS A novel large surface area microparticle paclitaxel (LSAM-PTX) has unique properties of long retention in cystic spaces while maintaining high drug concentration. We prospectively evaluated the safety and response of EUS-guided fine needle injection (EUS-FNI) of LSAM-PTX to chemoablate branch duct (BD)-IPMNs. METHODS Subjects diagnosed with BD-IPMNs exhibiting at least one worrisome criteria and considered non-surgical were enrolled in a multicenter clinical trial (NCT03188991) and subsequently included in an Expanded Access Protocol (EAP) where they received EUS-FNI of LSAM-PTX (15 mg/mL). RESULTS Six BD-IPMNs measuring (mean ± SD) 3.18 ± 0.76 cm in diameter among 5 subjects (mean age: 66 years) were treated by EUS-FNI of LSAM-PTX. A mean of 4 doses of LSAM-PTX (mean dose/cyst: 73 ± 31 mg) were administered, and subjects were followed for up to 32 months. The mean volume reduction/cyst ranged from 42 to 89% (9.58 ± 5.1 ml to 2.2 ± 1.1 ml (p = 0.016)). The mean surface area reduction ranged from 31 to 83% (21.9 ± 8.7 cm2 to 5.7 ± 2.5 cm2 (p = 0.009)). Higher dosing-frequency of EUS-FNI of LSAM-PTX significantly correlated with a reduction in cyst volume (R2 = 0.87, p = 0.03) and surface area (R2 = 0.83, p = 0.04). Comparing pre- and post-ablation samples, molecular analysis of the cyst fluid revealed a loss of IPMN-associated mutations in 5 cases (83.3%), while reemergence was observed in 1 case and persistence in 1 case. Intracystic changes (fibrosis/calcification) were observed in 83.3% (n = 5). One subject developed mild acute pancreatitis (1 of 22 EUS-FNIs of LSAM-PTX). CONCLUSION In this EAP, EUS-FNI of LSAM-PTX into BD-IPMNs was safe and resulted in volume and surface area reduction, morphological changes, and loss of pathogenic mutations.
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Affiliation(s)
- Somashekar G Krishna
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.
| | - Devarshi R Ardeshna
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Zarine K Shah
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Phil A Hart
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Stacey Culp
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, 43210, USA
| | - Dan Jones
- James Molecular Laboratory, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Wei Chen
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Georgios I Papachristou
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Samuel Han
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Peter J Lee
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Hamza Shah
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Timothy M Pawlik
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Mary Dillhoff
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Andrei Manilchuk
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Jordan M Cloyd J
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Aslam Ejaz
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Megan Fry
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Anne M Noonan
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
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Tirkes T, Yadav D, Conwell DL, Territo PR, Zhao X, Persohn SA, Dasyam AK, Shah ZK, Venkatesh SK, Takahashi N, Wachsman A, Li L, Li Y, Pandol SJ, Park WG, Vege SS, Hart PA, Topazian M, Andersen DK, Fogel EL. Diagnosis of chronic pancreatitis using semi-quantitative MRI features of the pancreatic parenchyma: results from the multi-institutional MINIMAP study. Abdom Radiol (NY) 2023; 48:3162-3173. [PMID: 37436452 PMCID: PMC10650972 DOI: 10.1007/s00261-023-04000-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 07/13/2023]
Abstract
PURPOSE To determine the diagnostic performance of parenchymal MRI features differentiating CP from controls. METHODS This prospective study performed abdominal MRI scans at seven institutions, using 1.5 T Siemens and GE scanners, in 50 control and 51 definite CP participants, from February 2019 to May 2021. MRI parameters included the T1-weighted signal intensity ratio of the pancreas (T1 score), arterial-to-venous enhancement ratio (AVR) during venous and delayed phases, pancreas volume, and diameter. We evaluated the diagnostic performance of these parameters individually and two semi-quantitative MRI scores derived using logistic regression: SQ-MRI Model A (T1 score, AVR venous, and tail diameter) and Model B (T1 score, AVR venous, and volume). RESULTS When compared to controls, CP participants showed a significantly lower mean T1 score (1.11 vs. 1.29), AVR venous (0.86 vs. 1.45), AVR delayed (1.07 vs. 1.57), volume (54.97 vs. 80.00 ml), and diameter of the head (2.05 vs. 2.39 cm), body (2.25 vs. 2.58 cm), and tail (1.98 vs. 2.51 cm) (p < 0.05 for all). AUCs for these individual MR parameters ranged from 0.66 to 0.79, while AUCs for the SQ-MRI scores were 0.82 and 0.81 for Model A (T1 score, AVR venous, and tail diameter) and Model B (T1 score, AVR venous, and volume), respectively. After propensity-matching adjustments for covariates, AUCs for Models A and B of the SQ-MRI scores increased to 0.92 and 0.93, respectively. CONCLUSION Semi-quantitative parameters of the pancreatic parenchyma, including T1 score, enhancement ratio, pancreas volume, diameter and multi-parametric models combining these parameters are helpful in diagnosis of CP. Longitudinal analyses including more extensive population are warranted to develop new diagnostic criteria for CP.
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Affiliation(s)
- Temel Tirkes
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd. Suite 0663, Indianapolis, IN, 46202, USA.
| | - Dhiraj Yadav
- Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Darwin L Conwell
- Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Paul R Territo
- Division of Clinical Pharmacology, Stark Neurosciences Research Institute, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Xuandong Zhao
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Scott A Persohn
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Anil K Dasyam
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Zarine K Shah
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | | | - Ashley Wachsman
- Department of Imaging, University of California in Los Angeles, Los Angeles, CA, USA
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yan Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen J Pandol
- Division of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Walter G Park
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Stanford, CA, USA
| | | | - Phil A Hart
- Division of Gastroenterology, Hepatology & Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | - Dana K Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Evan L Fogel
- Lehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, IN, USA
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3
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Ryoo DY, Koehler B, Rath J, Shah ZK, Chen W, Esnakula AK, Hart PA, Krishna SG. A Comparison of Single Dimension and Volume Measurements in the Risk Stratification of Pancreatic Cystic Lesions. J Clin Med 2023; 12:5871. [PMID: 37762812 PMCID: PMC10531933 DOI: 10.3390/jcm12185871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/25/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
The incidence of pancreatic cystic lesions (PCLs) has been rising due to improvements in imaging. Of these, intraductal papillary mucinous neoplasms (IPMNs) are the most common and are thought to contribute to almost 20% of pancreatic adenocarcinomas. All major society guidelines for the management of IPMNs use size defined by maximum diameter as the primary determinant of whether surveillance or surgical resection is recommended. However, there is no consensus on how these measurements should be obtained or whether a single imaging modality is superior. Furthermore, the largest diameter may fail to capture the complexity of PCLs, as most are not perfectly spherical. This article reviews current PCL measurement techniques in CT, MRI, and EUS and posits volume as a possible alternative to the largest diameter.
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Affiliation(s)
- Da Yeon Ryoo
- Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; (D.Y.R.); (B.K.)
| | - Bryn Koehler
- Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; (D.Y.R.); (B.K.)
| | - Jennifer Rath
- Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; (J.R.); (Z.K.S.)
| | - Zarine K. Shah
- Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; (J.R.); (Z.K.S.)
| | - Wei Chen
- Department of Pathology, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; (W.C.); (A.K.E.)
| | - Ashwini K. Esnakula
- Department of Pathology, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; (W.C.); (A.K.E.)
| | - Phil A. Hart
- Division of Gastroenterology, Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA;
| | - Somashekar G. Krishna
- Division of Gastroenterology, Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA;
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Chu LC, Wang ZJ, Kambadakone A, Hecht EM, He J, Narang AK, Laheru DA, Arif-Tiwari H, Bhosale P, Bolan CW, Brook OR, Bezuidenhout AF, Do RKG, Galgano SJ, Goenka AH, Guimaraes AR, Hough DM, Kulkarni N, Le O, Luk L, Mannelli L, Rosenthal M, Sangster G, Shah ZK, Soloff EV, Tolat PP, Zins M, Fishman EK, Tamm EP, Zaheer A. Postoperative surveillance of pancreatic ductal adenocarcinoma (PDAC) recurrence: practice pattern on standardized imaging and reporting from the society of abdominal radiology disease focus panel on PDAC. Abdom Radiol (NY) 2023; 48:318-339. [PMID: 36241752 DOI: 10.1007/s00261-022-03693-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 01/21/2023]
Abstract
PURPOSE Surgical resection is the only potential curative treatment for patients with pancreatic ductal adenocarcinoma (PDAC), but unfortunately most patients recur within 5 years of surgery. This article aims to assess the practice patterns across major academic institutions and develop consensus recommendations for postoperative imaging and interpretation in patients with PDAC. METHODS The consensus recommendations for postoperative imaging surveillance following PDAC resection were developed using the Delphi method. Members of the Society of Abdominal Radiology (SAR) PDAC Disease Focused Panel (DFP) underwent three rounds of surveys followed by live webinar group discussions to develop consensus recommendations. RESULTS Significant variations currently exist in the postoperative surveillance of PDAC, even among academic institutions. Differentiating common postoperative inflammatory and fibrotic changes from tumor recurrence remains a diagnostic challenge, and there is no reliable size threshold or growth rate of imaging findings that can provide differentiation. A new liver lesion or peritoneal nodule should be considered suspicious for tumor recurrence, and the imaging features should be interpreted in the appropriate clinical context (e.g., CA 19-9, clinical presentation, pathologic staging). CONCLUSION Postoperative imaging following PDAC resection is challenging to interpret due to the presence of confounding postoperative inflammatory changes. A standardized reporting template for locoregional findings and report impression may improve communication of relaying risk of recurrence with referring providers, which merits validation in future studies.
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Affiliation(s)
- Linda C Chu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Zhen J Wang
- Department of Radiology, University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA
| | | | - Jin He
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Amol K Narang
- Department of Radiation Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel A Laheru
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hina Arif-Tiwari
- Department of Medical Imaging, University of Arizona, Tuscon, AZ, USA
| | - Priya Bhosale
- Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Olga R Brook
- Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Richard K G Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Samuel J Galgano
- Department of Radiology, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Ajit H Goenka
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Alexander R Guimaraes
- Department of Diagnostic Radiology, Oregon Health & Science University, Portland, OR, USA
| | - David M Hough
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Naveen Kulkarni
- Department of Radiology, Medical College of Wisconsin & Froedtert Health, Milwaukee, WI, USA
| | - Ott Le
- Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lyndon Luk
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Lorenzo Mannelli
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) SDN, Naples, Italy
| | - Michael Rosenthal
- Department of Imaging, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Guillermo Sangster
- Department of Radiology, Ochsner Louisiana State University Health Shreveport, Shreveport, LA, USA
| | - Zarine K Shah
- Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Erik V Soloff
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Parag P Tolat
- Department of Radiology, Medical College of Wisconsin & Froedtert Health, Milwaukee, WI, USA
| | - Marc Zins
- Department of Radiology, Hôpital Paris Saint Joseph, Paris, France
| | - Elliot K Fishman
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eric P Tamm
- Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Atif Zaheer
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Tirkes T, Yadav D, Conwell DL, Territo PR, Zhao X, Persohn SA, Dasyam AK, Shah ZK, Venkatesh SK, Takahashi N, Wachsman A, Li L, Li Y, Pandol SJ, Park WG, Vege SS, Hart PA, Topazian M, Andersen DK, Fogel EL. Quantitative MRI of chronic pancreatitis: results from a multi-institutional prospective study, magnetic resonance imaging as a non-invasive method for assessment of pancreatic fibrosis (MINIMAP). Abdom Radiol (NY) 2022; 47:3792-3805. [PMID: 36038644 PMCID: PMC9423890 DOI: 10.1007/s00261-022-03654-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/09/2022] [Accepted: 08/11/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE To determine if quantitative MRI techniques can be helpful to evaluate chronic pancreatitis (CP) in a setting of multi-institutional study. METHODS This study included a subgroup of participants (n = 101) enrolled in the Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies (PROCEED) study (NCT03099850) from February 2019 to May 2021. MRI was performed on 1.5 T using Siemens and GE scanners at seven clinical centers across the USA. Quantitative MRI parameters of the pancreas included T1 relaxation time, extracellular volume (ECV) fraction, apparent diffusion coefficient (ADC), and fat signal fraction. We report the diagnostic performance and mean values within the control (n = 50) and CP (n = 51) groups. The T1, ECV and fat signal fraction were combined to generate the quantitative MRI score (Q-MRI). RESULTS There was significantly higher T1 relaxation time; mean 669 ms (± 171) vs. 593 ms (± 82) (p = 0.006), ECV fraction; 40.2% (± 14.7) vs. 30.3% (± 11.9) (p < 0.001), and pancreatic fat signal fraction; 12.2% (± 5.5) vs. 8.2% (± 4.4) (p < 0.001) in the CP group compared to controls. The ADC was similar between groups (p = 0.45). The AUCs for the T1, ECV, and pancreatic fat signal fraction were 0.62, 0.72, and 0.73, respectively. The composite Q-MRI score improved the diagnostic performance (cross-validated AUC: 0.76). CONCLUSION Quantitative MR parameters evaluating the pancreatic parenchyma (T1, ECV fraction, and fat signal fraction) are helpful in the diagnosis of CP. A Q-MRI score that combines these three MR parameters improves diagnostic performance. Further studies are warranted with larger study populations including patients with acute and recurrent acute pancreatitis and longitudinal follow-ups.
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Affiliation(s)
- Temel Tirkes
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine Indianapolis, 550 N. University Blvd. Suite 0663, Indianapolis, IN 46202 USA
| | - Dhiraj Yadav
- Department of Medicine Division of Gastroenterology, Hepatology & Nutrition University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Darwin L. Conwell
- Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY USA
| | - Paul R. Territo
- Division of Clinical Pharmacology, Stark Neurosciences Research Institute Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Xuandong Zhao
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Scott A. Persohn
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Anil K. Dasyam
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Zarine K. Shah
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH USA
| | | | | | - Ashley Wachsman
- Department of Radiology Cedars-Sinai Medical Center, University of California in Los Angeles, Los Angeles, CA USA
| | - Liang Li
- Department of Biostatistics Director, Quantitative Science Program, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Yan Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Stephen J. Pandol
- Division of Digestive and Liver Diseases Cedars-Sinai Medical Center, Los Angeles, CA USA
| | - Walter G. Park
- Department of Medicine, Division of Gastroenterology and Hepatology, Stanford University Medical Center, Stanford, CA USA
| | - Santhi S. Vege
- Department of Internal Medicine, Mayo Clinic, Rochester, MN USA
| | - Phil A. Hart
- Division of Gastroenterology, Hepatology & Nutrition The Ohio State University Wexner Medical Center, Columbus, OH USA
| | | | - Dana K. Andersen
- Division of Digestive Diseases and Nutrition National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD USA
| | - Evan L. Fogel
- Lehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, IN USA
| | - On behalf of the Consortium for the Study of Chronic Pancreatitis, Diabetes, Pancreatic Cancer (CPDPC)
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine Indianapolis, 550 N. University Blvd. Suite 0663, Indianapolis, IN 46202 USA
- Department of Medicine Division of Gastroenterology, Hepatology & Nutrition University of Pittsburgh School of Medicine, Pittsburgh, PA USA
- Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY USA
- Division of Clinical Pharmacology, Stark Neurosciences Research Institute Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202 USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202 USA
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA USA
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH USA
- Department of Radiology, Mayo Clinic, Rochester, MN USA
- Department of Radiology Cedars-Sinai Medical Center, University of California in Los Angeles, Los Angeles, CA USA
- Department of Biostatistics Director, Quantitative Science Program, The University of Texas MD Anderson Cancer Center, Houston, TX USA
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX USA
- Division of Digestive and Liver Diseases Cedars-Sinai Medical Center, Los Angeles, CA USA
- Department of Medicine, Division of Gastroenterology and Hepatology, Stanford University Medical Center, Stanford, CA USA
- Department of Internal Medicine, Mayo Clinic, Rochester, MN USA
- Division of Gastroenterology, Hepatology & Nutrition The Ohio State University Wexner Medical Center, Columbus, OH USA
- Mayo Clinic, Rochester, MN USA
- Division of Digestive Diseases and Nutrition National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD USA
- Lehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, IN USA
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6
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Tirkes T, Dasyam AK, Shah ZK, Fogel EL, Vege SS, Li L, Li S, Chang ST, Farinas CA, Grajo JR, Mawad K, Takahashi N, Venkatesh SK, Wachsman A, Fisher WE, Forsmark CE, Hart PA, Pandol SJ, Park WG, Van Den Eeden SK, Yang Y, Topazian M, Andersen DK, Serrano J, Conwell DL, Yadav D. T1 signal intensity ratio of the pancreas as an imaging biomarker for the staging of chronic pancreatitis. Abdom Radiol (NY) 2022; 47:3507-3519. [PMID: 35857066 PMCID: PMC10020893 DOI: 10.1007/s00261-022-03611-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/30/2022] [Accepted: 07/03/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE Our purpose was to validate the T1 SIR (T1 score) as an imaging biomarker for the staging of CP in a large, multi-institutional, prospective study. METHODS The prospective study population included 820 participants enrolled in the PROCEED study from nine clinical centers between June 2017 and December 2021. A radiologist at each institution used a standardized method to measure the T1 signal intensity of the pancreas and the reference organs (spleen, paraspinal muscle, liver), which was used to derive respective T1 scores. Participants were stratified according to the seven mechanistic stages of chronic pancreatitis (MSCP 0-6) based on their clinical history, MRCP, and CT findings. RESULTS The mean pancreas-to-spleen T1 score was 1.30 in participants with chronic abdominal pain, 1.22 in those with acute or recurrent acute pancreatitis, and 1.03 in definite CP. After adjusting for covariates, we observed a linear, progressive decline in the pancreas-to-spleen T1 score with increasing MSCP from 0 to 6. The mean pancreas-to-spleen T1 scores were 1.34 (MSCP 0), 1.27 (MSCP 1), 1.21 (MSCP 2), 1.16 (MSCP 3), 1.18 (MSCP 4), 1.12 (MSCP 5), and 1.05 (MSCP 6) (p < 0.0001). The pancreas-to-liver and pancreas-to-muscle T1 scores showed less linear trends and wider confidence intervals. CONCLUSION The T1 score calculated by SIR of the pancreas-to-spleen shows a negative linear correlation with the progression of chronic pancreatitis. It holds promise as a practical imaging biomarker in evaluating disease severity in clinical research and practice.
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Affiliation(s)
- Temel Tirkes
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd. Suite 0663, Indianapolis, IN, 46202, USA.
| | - Anil K Dasyam
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Zarine K Shah
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Evan L Fogel
- Lehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shuang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephanie T Chang
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Carlos A Farinas
- Baylor College of Medicine, Radiology Department, TX, Houston, USA
| | - Joseph R Grajo
- University of Florida College of Medicine, Gainesville, FL, USA
| | - Kareem Mawad
- The Permanente Medical Group, South San Francisco Medical Center, South San Francisco, CA, 94080, USA
| | | | | | - Ashley Wachsman
- Department of Radiology, Cedars-Sinai Medical Center, University of California in Los Angeles, Los Angeles, CA, USA
| | - William E Fisher
- Department of Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Christopher E Forsmark
- Division of Gastroenterology, Hepatology, and Nutrition, University of Florida, Gainesville, FL, 32610, USA
| | - Phil A Hart
- Division of Gastroenterology, Hepatology & Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Stephen J Pandol
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Walter G Park
- Department of Medicine, Division of Gastroenterology and Hepatology, Stanford University Medical Center, Stanford, CA, USA
| | | | - Yunlong Yang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Dana K Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Jose Serrano
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Darwin L Conwell
- Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Dhiraj Yadav
- Department of Medicine, Division of Gastroenterology, Hepatology & Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Scherer JA, Gebhard R, Firkins SA, Shah ZK, Urbina Andersson IK, Barker SJ, Fiorillo LE, Hollander E, Shaheen N, Koay EJ, Conwell DL, Krishna SG. Lower Interobserver Reliability for Nondimensional Intracystic Features Among Abdominal Radiologists for Characterizing Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging. Pancreas 2022; 51:1225-1230. [PMID: 37078949 DOI: 10.1097/mpa.0000000000002174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
OBJECTIVES Current guidelines recommend magnetic resonance imaging (MRI)/magnetic resonance cholangiopancreatography (MRCP) for risk stratification of intraductal papillary mucinous neoplasms (IPMNs). We assessed the interobserver agreement among radiologists in evaluating and risk stratifying IPMNs. METHODS This single-center study evaluated 30 patients with IPMNs who had undergone MRI/MRCP, endoscopic ultrasound, and/or surgical resection. Six abdominal radiologists evaluated the MRI/MRCPs to document multiple parameters. The analysis applied Landis and Koch κ interpretation for categorical variables and intraclass correlation coefficient (r) for continuous variables. RESULTS Radiologists demonstrated almost perfect agreement for location (κ = 0.81, 95% confidence interval [CI], 0.74-0.87), size (r = 0.95; 95% CI, 0.89-0.98), and main pancreatic duct diameter (r = 0.98; 95% CI, 0.96-0.99). Substantial agreement was observed for communication with the main pancreatic duct (κ = 0.66; 95% CI, 0.57-0.75) and classification of IPMN subtype (κ = 0.77; 95% CI, 0.67-0.86). Presence of intracystic nodules (κ = 0.31; 95% CI, 0.21-0.42) and wall thickening (κ = 0.09; 95% CI, -0.01 to 0.18) reached only fair and slight agreement, respectively. CONCLUSIONS Although MRI/MRCP is excellent in the evaluation of spatial aspects, there is lower reliability for nondimensional characteristics of IPMNs. These data support guideline-recommended complementary evaluation of IPMNs with MRI/MRCP and endoscopic ultrasound.
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Affiliation(s)
| | | | - Stephen A Firkins
- Internal Medicine, The Ohio State University Wexner Medical Center, Columbus
| | | | | | - Samantha J Barker
- Department of Radiology, University of Minnesota Medical Center, Minneapolis
| | | | | | | | - Eugene J Koay
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston
| | - Darwin L Conwell
- Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center, Columbus
| | - Somashekar G Krishna
- Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center, Columbus
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Pandharipande PV, Shah ZK. Diversity in Our Workforce: An Urgent Need to Do More. Radiology 2022; 305:648-649. [PMID: 35943340 DOI: 10.1148/radiol.221755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Pari V Pandharipande
- From the Department of Radiology, The Ohio State University College of Medicine and Wexner Medical Center, 450 Faculty Office Tower, 395 W 12th Ave, Columbus, OH 43210
| | - Zarine K Shah
- From the Department of Radiology, The Ohio State University College of Medicine and Wexner Medical Center, 450 Faculty Office Tower, 395 W 12th Ave, Columbus, OH 43210
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9
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Tirkes T, Chinchilli VM, Bagci U, Parker JG, Zhao X, Dasyam AK, Feranec N, Grajo JR, Shah ZK, Poullos PD, Spilseth B, Zaheer A, Xie KL, Wachsman AM, Campbell-Thompson M, Conwell DL, Fogel EL, Forsmark CE, Hart PA, Pandol SJ, Park WG, Pratley RE, Yazici C, Laughlin MR, Andersen DK, Serrano J, Bellin MD, Yadav D. Design and Rationale for the Use of Magnetic Resonance Imaging Biomarkers to Predict Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium. Pancreas 2022; 51:586-592. [PMID: 36206463 PMCID: PMC9756870 DOI: 10.1097/mpa.0000000000002080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
ABSTRACT This core component of the Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM) study will examine the hypothesis that advanced magnetic resonance imaging (MRI) techniques can reflect underlying pathophysiologic changes and provide imaging biomarkers that predict diabetes mellitus (DM) after acute pancreatitis (AP). A subset of participants in the DREAM study will enroll and undergo serial MRI examinations using a specific research protocol. The aim of the study is to differentiate at-risk individuals from those who remain euglycemic by identifying parenchymal features after AP. Performing longitudinal MRI will enable us to observe and understand the natural history of post-AP DM. We will compare MRI parameters obtained by interrogating tissue properties in euglycemic, prediabetic, and incident diabetes subjects and correlate them with metabolic, genetic, and immunological phenotypes. Differentiating imaging parameters will be combined to develop a quantitative composite risk score. This composite risk score will potentially have the ability to monitor the risk of DM in clinical practice or trials. We will use artificial intelligence, specifically deep learning, algorithms to optimize the predictive ability of MRI. In addition to the research MRI, the DREAM study will also correlate clinical computed tomography and MRI scans with DM development.
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Affiliation(s)
- Temel Tirkes
- From the Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
| | - Vernon M Chinchilli
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
| | | | - Jason G Parker
- From the Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
| | - Xuandong Zhao
- From the Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
| | - Anil K Dasyam
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | | | - Joseph R Grajo
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL
| | - Zarine K Shah
- Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Benjamin Spilseth
- Department of Radiology, University of Minnesota Medical School, Minneapolis, MN
| | - Atif Zaheer
- Department of Radiology, Johns Hopkins Medicine, Baltimore, MD
| | - Karen L Xie
- Department of Radiology, University of Illinois at Chicago, Chicago, IL
| | - Ashley M Wachsman
- Department of Radiology, Cedars Sinai Medical Center, Los Angeles, CA
| | - Martha Campbell-Thompson
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Darwin L Conwell
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Evan L Fogel
- Lehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, IN
| | - Christopher E Forsmark
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Phil A Hart
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Stephen J Pandol
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles
| | - Walter G Park
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Stanford, CA
| | | | - Cemal Yazici
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Illinois at Chicago, Chicago, IL
| | | | - Dana K Andersen
- Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Jose Serrano
- Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | | | - Dhiraj Yadav
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
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McNabb-Baltar J, Manickavasagan HR, Conwell DL, Lu A, Yadav D, Hart PA, Lara LF, Cruz-Monserrate Z, Ing S, Hinton A, Mace TA, Bradley D, Shah ZK. A Pilot Study to Assess Opportunistic Use of CT-Scan for Osteoporosis Screening in Chronic Pancreatitis. Front Physiol 2022; 13:866945. [PMID: 35721529 PMCID: PMC9203029 DOI: 10.3389/fphys.2022.866945] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: CT scans are commonly performed in patients with chronic pancreatitis (CP). Osteopathy and fractures are recognized in CP but no osteoporosis screening guidelines are recommended. "Opportunistic" CT scan-derived bone density thresholds are assessed for identifying osteoporosis in CP. Methods: Retrospective pilot cohort study. CP subjects who had CT scans and dual-energy x-ray absorptiometry (DXA) within 1 year were included. CT-derived bone density was measured at the L1 level. Pearson's correlation was performed between age and CT-derived bone density in Hounsfield unit (HU). Univariate analysis using HU to identify osteoporosis was performed at various thresholds of bone density. The discriminatory ability of the model was evaluated with the area under the receiver operating characteristic (ROC) curve (AUC). Several HU thresholds were tested. Results: Twenty-seven CP subjects were included, of whom 11 had normal bone density, 12 osteopenia, and four osteoporosis on DXA. The mean age was 59.9 years (SD 13.0). There was a negative correlation of age with HU (r = -0.519, p = 0.006). CT-derived bone density predicted DXA-based osteoporosis in the univariable analysis (Odds Ratio (OR) = 0.97 95% Confidence Interval (CI) 0.94-1.00, p = 0.03). HU thresholds were tested. A threshold of 106 HU maximized the accuracy (AUC of 0.870). Conclusions: CT scan may be repurposed for "opportunistic" screening to rule out osteoporosis in CP. A larger study is warranted to confirm these results.
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Affiliation(s)
- Julia McNabb-Baltar
- Brigham and Women's Hospital, Harvard Medical School, Division of Gastroenterology, Hepatology, and Endoscopy, Boston, MA, United States
| | - Hanisha R Manickavasagan
- The Ohio State University Wexner Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Columbus, OH, United States
| | - Darwin L Conwell
- The Ohio State University Wexner Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Columbus, OH, United States
| | - Andrew Lu
- The Ohio State University Wexner Medical Center, Department of Radiology, Columbus, OH, United States
| | - Dhiraj Yadav
- University of Pittsburgh Medical Center, Division of GI, Hepatology and Nutrition, Columbus, OH, United States
| | - Philip A Hart
- The Ohio State University Wexner Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Columbus, OH, United States
| | - Luis F Lara
- The Ohio State University Wexner Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Columbus, OH, United States
| | - Zobeida Cruz-Monserrate
- The Ohio State University Wexner Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Columbus, OH, United States
| | - Steven Ing
- The Ohio State University Wexner Medical Center, Division of Endocrinology, Diabetes and Metabolism, Columbus, OH, United States
| | - Alice Hinton
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, United States
| | - Thomas A Mace
- The Ohio State University Wexner Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Columbus, OH, United States
| | - David Bradley
- The Ohio State University Wexner Medical Center, Division of Endocrinology, Diabetes and Metabolism, Columbus, OH, United States
| | - Zarine K Shah
- The Ohio State University Wexner Medical Center, Department of Radiology, Columbus, OH, United States
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Abstract
PURPOSE OF REVIEW This article reviews recent efforts about standardized imaging features and reporting of chronic pancreatitis and recently published or ongoing imaging studies, which aim to establish novel imaging biomarkers for detection of parenchymal changes seen in chronic pancreatitis. RECENT FINDINGS New novel MRI techniques are being developed to increase the diagnostic yield of chronic pancreatitis specifically in the early stage. T1 relaxation time, T1 signal intensity ratio and extracellular volume fraction offer potential advantages over conventional cross-sectional imaging, including simplicity of analysis and more objective interpretation of observations allowing population-based comparisons. In addition, standardized definitions and reporting guidelines for chronic pancreatitis based on available evidence and expert consensus have been proposed. These new imaging biomarkers and reporting guidelines are being validated for prognostic/therapeutic assessment of adult patients participating in longitudinal studies of The Consortium for the Study of Chronic Pancreatitis, Diabetes and Pancreatic Cancer. SUMMARY New imaging biomarkers derived from novel MRI sequences promise a new chapter for diagnosis and severity assessment of chronic pancreatitis; a cross-sectional imaging-based diagnostic criteria for chronic pancreatitis combining ductal and parenchymal findings. Standardized imaging findings and reporting guidelines of chronic pancreatitis would enhance longitudinal assessment of disease severity in clinical trials and improve communication between radiologists and pancreatologists in clinical practice.
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Affiliation(s)
- Temel Tirkes
- Associate Professor of Radiology, Imaging Sciences, Medicine and Urology, Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Anil K. Dasyam
- Associate Professor of Radiology and Medicine, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Zarine K. Shah
- Associate Professor of Radiology, Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Evan L. Fogel
- Professor of Medicine, Lehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, IN, USA
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12
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Tirkes T, Shah ZK, Takahashi N, Grajo JR, Chang ST, Wachsman AM, Mawad K, Farinas CA, Li L, Appana SN, Conwell DL, Yadav D, Dasyam AK. Inter-observer variability of radiologists for Cambridge classification of chronic pancreatitis using CT and MRCP: results from a large multi-center study. Abdom Radiol (NY) 2020; 45:1481-1487. [PMID: 32285180 DOI: 10.1007/s00261-020-02521-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE Determine inter-observer variability among radiologists in assigning Cambridge Classification (CC) of chronic pancreatitis (CP) based on magnetic resonance imaging (MRI)/magnetic resonance cholangiopancreatography (MRCP) and contrast-enhanced CT (CECT). METHODS Among 422 eligible subjects enrolled into the PROCEED study between 6/2017 and 8/2018, 39 were selected randomly for this study (chronic abdominal pain (n = 8; CC of 0), suspected CP (n = 22; CC of 0, 1 or 2) or definite CP (n = 9; CC of 3 or 4). Each imaging was scored by the local radiologist (LRs) and three of five central radiologists (CRs) at other consortium sites. The CRs were blinded to clinical data and site information of the participants. We compared the CC score assigned by the LR with the consensus CC score assigned by the CRs. The weighted kappa statistic (K) was used to estimate the inter-observer agreement. RESULTS For the majority of subjects (34/39), the group assignment by LR agreed with the consensus composite CT/MRCP score by the CRs (concordance ranging from 75 to 89% depending on cohort group). There was moderate agreement (63% and 67% agreed, respectively) between CRs and LRs in both the CT score (weighted Kappa [95% CI] = 0.56 [0.34, 0.78]; p-value = 0.57) and the MR score (weighted Kappa [95% CI] = 0.68 [0.49, 0.86]; p-value = 0.72). The composite CT/MR score showed moderate agreement (weighted Kappa [95% CI] = 0.62 [0.43, 0.81]; p-value = 0.80). CONCLUSION There is a high degree of concordance among radiologists for assignment of CC using MRI and CT.
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Affiliation(s)
- Temel Tirkes
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd. Suite 0663, Indianapolis, IN, 46202, USA.
| | - Zarine K Shah
- Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | - Joseph R Grajo
- University of Florida College of Medicine, Gainesville, FL, USA
| | - Stephanie T Chang
- Department of Radiology and Division of Body MRI, Stanford University School of Medicine, Stanford, CA, USA
| | - Ashley M Wachsman
- Department of Radiology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kareem Mawad
- Department of Radiology, South San Francisco Medical Center, The Permanente Medical Group, South San Francisco, CA, USA
| | - Carlos A Farinas
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Savitri N Appana
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Darwin L Conwell
- Division of Gastroenterology, Department of Medicine, Ohio State University Wexner Medical Center, Hepatology & Nutrition, Columbus, OH, USA
| | - Dhiraj Yadav
- Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Anil K Dasyam
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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13
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Dasyam AK, Shah ZK, Tirkes T, Dasyam N, Borhani AA. Cross-sectional imaging-based severity scoring of chronic pancreatitis: why it is necessary and how it can be done. Abdom Radiol (NY) 2020; 45:1447-1457. [PMID: 31511956 PMCID: PMC8001739 DOI: 10.1007/s00261-019-02218-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Chronic pancreatitis (CP) remains a diagnostic challenge as clinical symptoms are non-specific, histopathological appearances are varied and pathogenesis remains incompletely understood. Multiple classifications and grading systems have been proposed for CP, but none leverage the full capabilities of cross-sectional imaging modalities and are not widely accepted or validated. CT and MRI/MRCP are useful in identifying a wide spectrum of histopathological changes in CP and can also assess exocrine reserve of pancreas. Advanced MRI techniques such as T1 mapping and extracellular volume fraction can potentially identify early CP. Cross-sectional imaging-based severity scoring can quantify CP disease burden and may have positive implications for clinicians and researchers. In this review, we discuss the need for cross-sectional imaging-based severity scoring for CP, role of CT, and MRI/MRCP in assessment of CP and how these modalities can be used to obtain severity scoring for CP. We summarize relevant information from recently published CT and MRI/MRCP reporting standards for CP, and from international guidelines for cross-sectional imaging and severity scoring for CP.
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Affiliation(s)
- Anil K Dasyam
- Department of Radiology, University of Pittsburgh Medical Center, Radiology Suite 200 E Wing, 2nd Floor 200 Lothrop Street, Pittsburgh, PA, 15213, USA.
| | - Zarine K Shah
- Department of Radiology, Ohio State University Wexner Medical Center, 395 W. 12th Avenue, 4th Floor, Columbus, OH, 43210, USA
| | - Temel Tirkes
- Department of Radiology, Indiana University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis, IN, 46202, USA
| | - Navya Dasyam
- Department of Radiology, University of Pittsburgh Medical Center, Radiology Suite 174E Wing, 1st Floor, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Amir A Borhani
- Department of Radiology, University of Pittsburgh Medical Center, Radiology Suite 200 E Wing, 2nd Floor 200 Lothrop Street, Pittsburgh, PA, 15213, USA
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14
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Tirkes T, Shah ZK, Takahashi N, Grajo JR, Chang ST, Venkatesh SK, Conwell DL, Fogel EL, Park W, Topazian M, Yadav D, Dasyam AK. Reporting Standards for Chronic Pancreatitis by Using CT, MRI, and MR Cholangiopancreatography: The Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer. Radiology 2019; 290:207-215. [PMID: 30325281 PMCID: PMC6314625 DOI: 10.1148/radiol.2018181353] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 08/27/2018] [Accepted: 08/29/2018] [Indexed: 12/17/2022]
Abstract
Chronic pancreatitis is an inflammatory condition of the pancreas with clinical manifestations ranging from abdominal pain, acute pancreatitis, exocrine and/or endocrine dysfunction, and pancreatic cancer. There is a need for longitudinal studies in well-phenotyped patients to ascertain the utility of cross-sectional imaging findings of chronic pancreatitis for diagnosis and assessment of disease severity. CT and MR cholangiopancreatography are the most common cross-sectional imaging studies performed for the evaluation of chronic pancreatitis. Currently, there are no universal reporting standards for chronic pancreatitis. Several features of chronic pancreatitis are applied clinically, such as calcifications, parenchymal T1 signal changes, focal or diffuse gland atrophy, or irregular contour of the gland. Such findings have not been incorporated into standardized diagnostic criteria. There is also lack of consensus on quantification of disease severity in chronic pancreatitis, other than by using ductal features alone as described in the Cambridge classification. The Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer (CPDPC) was established by the National Institute of Diabetes and Digestive and Kidney Diseases and the National Cancer Institute in 2015 to undertake collaborative studies on chronic pancreatitis, diabetes mellitus, and pancreatic adenocarcinoma. CPDPC investigators from the Adult Chronic Pancreatitis Working Group were tasked with development of a new consensus approach to reporting features of chronic pancreatitis aimed to standardize diagnosis and assessment of disease severity for clinical trials. This consensus statement presents and defines features of chronic pancreatitis along with recommended reporting metrics. © RSNA, 2018 Online supplemental material is available for this article. See also the editorial by Megibow in this issue.
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Affiliation(s)
- Temel Tirkes
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Zarine K. Shah
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Naoki Takahashi
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Joseph R. Grajo
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Stephanie T. Chang
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Sudhakar K. Venkatesh
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Darwin L. Conwell
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Evan L. Fogel
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Walter Park
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Mark Topazian
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Dhiraj Yadav
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - Anil K. Dasyam
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
| | - For the Consortium for the Study of Chronic Pancreatitis, Diabetes, and
Pancreatic Cancer
- From the Department of Radiology and Imaging Sciences (T.T.) and
Department of Medicine, Division of Gastroenterology (E.L.F.), Indiana
University School of Medicine, 550 N University Blvd, Suite 0663, Indianapolis,
Ind 46202; Department of Radiology (Z.K.S.) and Department of Medicine, Division
of Gastroenterology, Hepatology & Nutrition (D.L.C.), Ohio State University
Wexner Medical Center, Columbus, Ohio; Department of Radiology (N.T., S.K.V.)
and Department of Medicine, Division of Gastroenterology and Hepatology (M.T.),
Mayo Clinic, Rochester, Minn; Department of Radiology, University of Florida
College of Medicine, Gainesville, Fla (J.R.G.); Department of Radiology and
Division of Body MRI, Stanford University School of Medicine, Stanford, Calif
(S.T.C.); Department of Medicine, Division of Gastroenterology and Hepatology,
Stanford University Medical Center, Stanford, Calif (W.P.); Department of
Medicine, Division of Gastroenterology, Hepatology & Nutrition, University
of Pittsburgh School of Medicine, Pittsburgh, Pa (D.Y.); Department of
Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa
(A.K.D.)
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15
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Makary MS, Gayou EL, Kyrouac D, Shah ZK. Pancreaticoportal Fistula Formation as a Consequence of Recurrent Acute Pancreatitis: Clinical and Imaging Considerations. J Clin Imaging Sci 2018; 8:4. [PMID: 29441227 PMCID: PMC5801570 DOI: 10.4103/jcis.jcis_84_17] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 01/02/2018] [Indexed: 12/20/2022] Open
Abstract
A pancreatic-portal vein fistula (PPVF) is an extremely rare complication of pancreatitis. In this report, we present a patient with a PPVF in the setting of recurrent pancreatitis and portal vein thrombosis diagnosed by cross-sectional imaging and endoscopic retrograde cholangio-pancreatography, who responded to medical management and anticoagulation. A critical review of this disease process is explored to highlight pathology, imaging characteristics, and essential alternative diagnostic considerations. We also discuss potential complications and current treatment strategies. PPVFs pose a unique diagnostic challenge and awareness of its clinical presentation can further improve patient outcomes.
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Affiliation(s)
- Mina S Makary
- Department of Radiology, The Ohio State University Medical Center, Columbus 43210, Ohio, USA
| | - Edward L Gayou
- Department of Radiology, The Ohio State University Medical Center, Columbus 43210, Ohio, USA
| | - Douglas Kyrouac
- Department of Radiology, The Ohio State University Medical Center, Columbus 43210, Ohio, USA
| | - Zarine K Shah
- Department of Radiology, The Ohio State University Medical Center, Columbus 43210, Ohio, USA
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16
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Krishna SG, Rao BB, Ugbarugba E, Shah ZK, Blaszczak A, Hinton A, Conwell DL, Hart PA. Diagnostic performance of endoscopic ultrasound for detection of pancreatic malignancy following an indeterminate multidetector CT scan: a systemic review and meta-analysis. Surg Endosc 2017; 31:4558-4567. [PMID: 28378082 DOI: 10.1007/s00464-017-5516-y] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 03/14/2017] [Indexed: 11/25/2022]
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis in part due to delayed diagnosis. Even with advances in cross-sectional imaging, small pancreatic malignancies can be missed. We sought to determine the performance of endoscopic ultrasound (EUS) in those without an obvious mass on multi-detector CT scan (MDCT), but with clinical suspicion for pancreatic malignancy. METHODS Multiple databases were systematically searched to identify studies that assessed the diagnostic performance of EUS after negative or inconclusive pancreatic protocol MDCT for detection of pancreatic malignancy when clinically suspected. A total of four studies met the inclusion criteria. The point estimates in each study were compared to the summary pooled estimates of sensitivity and specificity with the aid of forest plots. Funnel plots and Egger's test were employed to evaluate possible publication bias. RESULTS EUS-guided fine needle aspiration was performed in all studies. EUS was performed in 206 subjects with a clinical suspicion of a pancreatic mass but with an indeterminate MDCT. A pancreatic mass (mean size 21 ± 1.2 mm) was identified in 70% (n = 144) of the subjects, and 42.2% (n = 87) were diagnosed with PDAC. The pooled estimates of EUS for diagnosing pancreatic malignancy in the setting of an indeterminate MDCT were a sensitivity of 85% (95% CI 69-94%), specificity of 58% (95% CI 40-74%), positive predictive value of 77% (69-84%), negative predictive value of 66% (95% CI 53-77%), and an accuracy of 75% (95% CI 67-82). The summary area under the ROC curve was 0.80 (95% CI 0.52-0.89). The funnel plots and Egger's test did not show a significant publication bias. CONCLUSIONS The yield of EUS is comparatively higher for the diagnosis of a pancreatic malignancy in patients with suspected cancer, but a non-diagnostic MDCT. Importantly, the majority of the lesions missed on CT represent PDAC, in which early diagnosis is essential.
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Affiliation(s)
- Somashekar G Krishna
- Section of Advanced Endoscopy, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, OH, 43210, USA.
- Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| | - Bhavana B Rao
- Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Emmanuel Ugbarugba
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Zarine K Shah
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Alecia Blaszczak
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - Alice Hinton
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Darwin L Conwell
- Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Phil A Hart
- Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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17
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Nguyen HT, Mortazavi A, Pohar KS, Zynger DL, Wei L, Shah ZK, Jia G, Knopp MV. Quantitative Assessment of Heterogeneity in Bladder Tumor MRI Diffusivity: Can Response be Predicted Prior to Neoadjuvant Chemotherapy? Bladder Cancer 2017; 3:237-244. [PMID: 29152548 PMCID: PMC5676757 DOI: 10.3233/blc-170110] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background: It is a critical unmet need to predict chemosensitivity in muscle-invasive bladder cancer patients who receive neoadjuvant chemotherapy (NAC). Quantification of tumor heterogeneity has been shown to be useful in the assessment of therapeutic response. Apparent diffusion coefficient (ADC) is derived from diffusion weighted MRI (DWI) to quantify the water diffusivity which characterizes micro-cellularity in tumor tissues. Objective: The aim of this study is to assess if a quantitative measurement of ADC heterogeneity in bladder tumors can be a predictor of therapeutic response to NAC. Materials and Methods: Twenty patients with pT2 bladder cancer have been included in this study. Patient MRI was performed on a 3T system with DWI prior to NAC. Regions of interest (ROIs) were placed over the whole tumor volume on ADC maps to acquire a data matrix of voxel-wise ADC values for each patient. We performed histogram analysis on each ADC data matrix to calculate uniformity (U) and entropy (E). These quantities were subsequently correlated with the patient’s response to chemotherapy. Statistical significance was found with P < 0.05. Results: Fifteen patients were categorized as responders, and five as non-responders. The data showed that tumors of responders were significantly higher in U (P = 0.01) and lower in E (P < 0.01) than non-responders. This finding indicates that resistant tumors were more heterogeneous in their spatial distribution of ADC values. While this difference in ADC heterogeneity was not always visually recognizable, it could be quantified by the data analytics. Conclusions: This study demonstrates that the quantitative readout of tumor heterogeneity in micro-cellularity is associated with the patient’s defined response to chemotherapy. Quantification of tumor ADC heterogeneity may provide useful information to enable the prediction of chemotherapeutic response prior to the treatment to improve patient outcomes.
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Affiliation(s)
- Huyen T Nguyen
- Department of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - Amir Mortazavi
- Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Kamal S Pohar
- Department of Urology, The Ohio State University, Columbus, OH, USA
| | - Debra L Zynger
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Lai Wei
- Center for Biostatistics, The Ohio State University, Columbus, OH, USA
| | - Zarine K Shah
- Department of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - Guang Jia
- Department of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA.,Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA, USA.,Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Michael V Knopp
- Department of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
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18
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Goceri E, Shah ZK, Gurcan MN. Vessel segmentation from abdominal magnetic resonance images: adaptive and reconstructive approach. Int J Numer Method Biomed Eng 2017; 33:e2811. [PMID: 27315322 DOI: 10.1002/cnm.2811] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Revised: 06/10/2016] [Accepted: 06/12/2016] [Indexed: 06/06/2023]
Abstract
The liver vessels, which have low signal and run next to brighter bile ducts, are difficult to segment from MR images. This study presents a fully automated and adaptive method to segment portal and hepatic veins on magnetic resonance images. In the proposed approach, segmentation of these vessels is achieved in four stages: (i) initial segmentation, (ii) refinement, (iii) reconstruction, and (iv) post-processing. In the initial segmentation stage, k-means clustering is used, the results of which are refined iteratively with linear contrast stretching algorithm in the next stage, generating a mask image. In the reconstruction stage, vessel regions are reconstructed with the marker image from the first stage and the mask image from the second stage. Experimental data sets include slices that show fat tissues, which have the same gray level values with vessels, outside the margin of the liver. These structures are removed in the last stage. Results show that the proposed approach is more efficient than other thresholding-based methods. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Evgin Goceri
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Zarine K Shah
- Department of Radiology, Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Metin N Gurcan
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
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19
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Krishna SG, Swanson B, Hart PA, El-Dika S, Walker JP, McCarthy ST, Malli A, Shah ZK, Conwell DL. Validation of diagnostic characteristics of needle based confocal laser endomicroscopy in differentiation of pancreatic cystic lesions. Endosc Int Open 2016; 4:E1124-E1135. [PMID: 27853737 PMCID: PMC5110338 DOI: 10.1055/s-0042-116491] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 08/19/2016] [Indexed: 02/07/2023] Open
Abstract
UNLABELLED Background and aims: Endoscopic ultrasound (EUS)-guided needle-based Confocal Laser Endomicroscopy (nCLE) characteristics of pancreatic cystic lesions (PCLs) have been identified in studies where the gold standard surgical histopathology was available in a minority of patients. There are diverging reports of interobserver agreement (IOA) and paucity of intraobserver reliability (IOR). Thus, we sought to validate current EUS-nCLE criteria of PCLs in a larger consecutive series of surgical patients. Methods: A retrospective analysis of patients who underwent EUS-nCLE at a single center was performed. For calculation of IOA (Fleiss' kappa) and IOR (Cohen's kappa), blinded nCLE-naïve observers (n = 6) reviewed nCLE videos of PCLs in two phases separated by a 2-week washout period. Results: EUS-nCLE was performed in 49 subjects, and a definitive diagnosis was available in 26 patients. The overall sensitivity, specificity, and accuracy for diagnosing a mucinous PCL were 94 %, 82 %, and 89 %, respectively. The IOA for differentiating mucinous vs. non-mucinous PCL was "substantial" (κ = 0.67, 95 %CI 0.57, 0.77). The mean (± standard deviation) IOR was "substantial" (κ = 0.78 ± 0.13) for diagnosing mucinous PCLs. Both the IOAs and mean IORs were "substantial" for detection of known nCLE image patterns of papillae/epithelial bands of mucinous PCLs (IOA κ = 0.63; IOR κ = 0.76 ± 0.11), bright particles on a dark background of pseudocysts (IOA κ = 0.71; IOR κ = 0.78 ± 0.12), and fern-pattern or superficial vascular network of serous cystadenomas (IOA κ = 0.62; IOR κ = 0.68 ± 0.20). Three (6.1 % of 49) patients developed post-fine needle aspiration (FNA) pancreatitis. Conclusion: Characteristic EUS-nCLE patterns can be consistently identified and improve the diagnostic accuracy of PCLs. These results support further investigations to optimize EUS-nCLE while minimizing adverse events. STUDY REGISTRATION NCT02516488.
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Affiliation(s)
- Somashekar G. Krishna
- Section of Advanced Endoscopy, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA,Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA,Corresponding author Somashekar G. Krishna, MD MPH 395 W. 12th AvenueSuite 262Division of Gastroenterology, Hepatology and NutritionColumbusOhioUSA+1-614-293-8518
| | - Benjamin Swanson
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Phil A. Hart
- Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Samer El-Dika
- Section of Advanced Endoscopy, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA,Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Jon P. Walker
- Section of Advanced Endoscopy, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Sean T. McCarthy
- Section of Advanced Endoscopy, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA,Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Ahmad Malli
- Section of Advanced Endoscopy, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Zarine K. Shah
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Darwin L. Conwell
- Section of Pancreatic Disorders, Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
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20
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Goceri E, Shah ZK, Layman R, Jiang X, Gurcan MN. Quantification of liver fat: A comprehensive review. Comput Biol Med 2016; 71:174-89. [PMID: 26945465 DOI: 10.1016/j.compbiomed.2016.02.013] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Revised: 02/18/2016] [Accepted: 02/19/2016] [Indexed: 12/19/2022]
Abstract
Fat accumulation in the liver causes metabolic diseases such as obesity, hypertension, diabetes or dyslipidemia by affecting insulin resistance, and increasing the risk of cardiac complications and cardiovascular disease mortality. Fatty liver diseases are often reversible in their early stage; therefore, there is a recognized need to detect their presence and to assess its severity to recognize fat-related functional abnormalities in the liver. This is crucial in evaluating living liver donors prior to transplantation because fat content in the liver can change liver regeneration in the recipient and donor. There are several methods to diagnose fatty liver, measure the amount of fat, and to classify and stage liver diseases (e.g. hepatic steatosis, steatohepatitis, fibrosis and cirrhosis): biopsy (the gold-standard procedure), clinical (medical physics based) and image analysis (semi or fully automated approaches). Liver biopsy has many drawbacks: it is invasive, inappropriate for monitoring (i.e., repeated evaluation), and assessment of steatosis is somewhat subjective. Qualitative biomarkers are mostly insufficient for accurate detection since fat has to be quantified by a varying threshold to measure disease severity. Therefore, a quantitative biomarker is required for detection of steatosis, accurate measurement of severity of diseases, clinical decision-making, prognosis and longitudinal monitoring of therapy. This study presents a comprehensive review of both clinical and automated image analysis based approaches to quantify liver fat and evaluate fatty liver diseases from different medical imaging modalities.
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Affiliation(s)
- Evgin Goceri
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, USA.
| | - Zarine K Shah
- Department of Radiology, Wexner Medical Center, The Ohio State University, Columbus, USA
| | - Rick Layman
- Department of Radiology, Wexner Medical Center, The Ohio State University, Columbus, USA
| | - Xia Jiang
- Department of Radiology, Wexner Medical Center, The Ohio State University, Columbus, USA
| | - Metin N Gurcan
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, USA
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21
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Shah ZK, Elias SN, Abaza R, Zynger DL, DeRenne LA, Knopp MV, Guo B, Schurr R, Heymsfield SB, Jia G. Performance comparison of 1.5-T endorectal coil MRI with 3.0-T nonendorectal coil MRI in patients with prostate cancer. Acad Radiol 2015; 22:467-74. [PMID: 25579637 DOI: 10.1016/j.acra.2014.11.007] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2014] [Revised: 10/03/2014] [Accepted: 11/10/2014] [Indexed: 11/24/2022]
Abstract
RATIONALE AND OBJECTIVES To compare prostate morphology, image quality, and diagnostic performance of 1.5-T endorectal coil magnetic resonance (MR) imaging (MRI) and 3.0-T nonendorectal coil MRI in patients with prostate cancer. MATERIALS AND METHODS MR images obtained of 83 patients with prostate cancer using 1.5-T MRI systems with an endorectal coil were compared to images collected from 83 patients with a 3.0-T MRI system. Prostate diameters were measured, and image quality was evaluated by one American Board of Radiology (ABR)-certified radiologist (reader 1) and one ABR-certified diagnostic medical physicist (reader 2). The likelihood of the presence of peripheral zone cancer in each sextant and local extent was rated and compared to histopathologic findings. RESULTS Prostate anterior-posterior diameter measured by both readers was significantly shorter with 1.5-T endorectal MRI than with 3.0-T MRI. The overall image quality score difference was significant only for reader 1. Both readers found that the two MRI systems provided a similar diagnostic accuracy in cancer localization, extraprostatic extension, and seminal vesicle involvement. CONCLUSIONS Nonendorectal coil 3.0-T MRI provides prostate images that are natural in shape and that have comparable image quality to those obtained at 1.5 T with an endorectal coil, but not superior diagnostic performance. These findings suggest an opportunity exists for improving technical aspects of the 3.0-T prostate MRI.
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Nguyen HT, Jia G, Shah ZK, Pohar K, Mortazavi A, Zynger DL, Wei L, Yang X, Clark D, Knopp MV. Prediction of chemotherapeutic response in bladder cancer using K-means clustering of dynamic contrast-enhanced (DCE)-MRI pharmacokinetic parameters. J Magn Reson Imaging 2014; 41:1374-82. [PMID: 24943272 DOI: 10.1002/jmri.24663] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2014] [Revised: 05/01/2014] [Accepted: 05/02/2014] [Indexed: 01/07/2023] Open
Abstract
PURPOSE To apply k-means clustering of two pharmacokinetic parameters derived from 3T dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict the chemotherapeutic response in bladder cancer at the mid-cycle timepoint. MATERIALS AND METHODS With the predetermined number of three clusters, k-means clustering was performed on nondimensionalized Amp and kep estimates of each bladder tumor. Three cluster volume fractions (VFs) were calculated for each tumor at baseline and mid-cycle. The changes of three cluster VFs from baseline to mid-cycle were correlated with the tumor's chemotherapeutic response. Receiver-operating-characteristics curve analysis was used to evaluate the performance of each cluster VF change as a biomarker of chemotherapeutic response in bladder cancer. RESULTS The k-means clustering partitioned each bladder tumor into cluster 1 (low kep and low Amp), cluster 2 (low kep and high Amp), cluster 3 (high kep and low Amp). The changes of all three cluster VFs were found to be associated with bladder tumor response to chemotherapy. The VF change of cluster 2 presented with the highest area-under-the-curve value (0.96) and the highest sensitivity/specificity/accuracy (96%/100%/97%) with a selected cutoff value. CONCLUSION The k-means clustering of the two DCE-MRI pharmacokinetic parameters can characterize the complex microcirculatory changes within a bladder tumor to enable early prediction of the tumor's chemotherapeutic response.
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Affiliation(s)
- Huyen T Nguyen
- Wright Center of Innovation in Biomedical Imaging, Department of Radiology, Ohio State University, Columbus, Ohio, USA
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Jia G, Abaza R, Williams JD, Zynger DL, Zhou J, Shah ZK, Patel M, Sammet S, Wei L, Bahnson RR, Knopp MV. Amide proton transfer MR imaging of prostate cancer: a preliminary study. J Magn Reson Imaging 2011; 33:647-54. [PMID: 21563248 DOI: 10.1002/jmri.22480] [Citation(s) in RCA: 152] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
PURPOSE To evaluate the capability of amide proton transfer (APT) MR imaging for detection of prostate cancer that typically shows a higher tumor cell proliferation rate and cellular density leading to an MRI-detectable overall elevated mobile protein level in higher grade tumors. MATERIALS AND METHODS Twelve patients with biopsy-proven prostate cancer were imaged on a 3 Tesla MR imaging system before prostatectomy. APT-MR images were acquired by means of a single-slice single-shot turbo spin echo sequence with a saturation prepulse preparation using 33 different frequency offsets (-8 to 8 ppm, interval 0.5 ppm). For quantification we used the APT ratio (APTR) based on the asymmetry of the magnetization transfer ratio at 3.5 ppm in respect to the water signal. Tumor and peripheral zone benign regions of interest (ROIs) were delineated based on whole mount pathology slides after prostatectomy. RESULTS APTR in prostate cancer ROIs was 5.8% ± 3.2%, significantly higher than that in the peripheral zone benign regions (0.3% ± 3.2%, P = 0.002). CONCLUSION APT-MR imaging is feasible in prostate cancer detection and has the potential to discriminate between cancer and noncancer tissues.
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Affiliation(s)
- Guang Jia
- Department of Radiology and Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, Ohio 43210, USA
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Shah AA, Sainani NI, Ramesh AK, Shah ZK, Deshpande V, Hahn PF, Sahani DV. Predictive value of multi-detector computed tomography for accurate diagnosis of serous cystadenoma: Radiologic-pathologic correlation. World J Gastroenterol 2009; 15:2739-47. [PMID: 19522024 PMCID: PMC2695889 DOI: 10.3748/wjg.15.2739] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM: To identify multi-detector computed tomography (MDCT) features most predictive of serous cystadenomas (SCAs), correlating with histopathology, and to study the impact of cyst size and MDCT technique on reader performance.
METHODS: The MDCT scans of 164 patients with surgically verified pancreatic cystic lesions were reviewed by two readers to study the predictive value of various morphological features for establishing a diagnosis of SCAs. Accuracy in lesion characterization and reader confidence were correlated with lesion size (≤ 3 cm or ≥ 3 cm) and scanning protocols (dedicated vs routine).
RESULTS: 28/164 cysts (mean size, 39 mm; range, 8-92 mm) were diagnosed as SCA on pathology. The MDCT features predictive of diagnosis of SCA were microcystic appearance (22/28, 78.6%), surface lobulations (25/28, 89.3%) and central scar (9/28, 32.4%). Stepwise logistic regression analysis showed that only microcystic appearance was significant for CT diagnosis of SCA (P = 0.0001). The sensitivity, specificity and PPV of central scar and of combined microcystic appearance and lobulations were 32.4%/100%/100% and 68%/100%/100%, respectively. The reader confidence was higher for lesions > 3 cm (P = 0.02) and for MDCT scans performed using thin collimation (1.25-2.5 mm) compared to routine 5 mm collimation exams (P > 0.05).
CONCLUSION: Central scar on MDCT is diagnostic of SCA but is seen in only one third of SCAs. Microcystic morphology is the most significant CT feature in diagnosis of SCA. A combination of microcystic appearance and surface lobulations offers accuracy comparable to central scar with higher sensitivity.
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Abstract
Pancreatic adenocarcinoma is one of the leading causes of cancer death in the West, with a poor overall 5-year survival rate of only 4%. Late clinical presentation with an advanced disease results in a low rate of surgical intervention. Tumor serum marker CA 19-9 is sensitive, although not specific for the diagnosis of adenocarcinomas of the pancreas. The treatment approach is based on whether the tumor is resectable or non-resectable at presentation. Therefore, imaging plays a crucial role in the management of this disease. Many modalities are available to image the pancreas. They include non-invasive techniques, like ultrasound, contrast-enhanced multidetector computed tomography, magnetic resonance imaging and integrated positron emission tomography/computed tomography, and invasive techniques, like endoscopic retrograde cholangiopancreatography and endoscopic ultrasound. Each of these modalities has its peculiar strengths and weaknesses.
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Affiliation(s)
- Dushyant V Sahani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
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Abstract
Multiple hereditary exostosis (or diaphyseal aclasis) is a condition characterized by the development of multiple osteochondromas. The tendency for malignant transformation into chondrosarcoma is well known. Malignancy typically arises from the cartilaginous cap of the osteochondroma. Radiographs supplemented by computed tomography have an important role in the diagnosis of this condition. Magnetic resonance imaging shows the features of sarcomatous change and aids in differentiating malignancy from pseudotumours.
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Affiliation(s)
- Z K Shah
- Department of Diagnostic Radiology, Changi General Hospital, Singapore
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Shah ZK, McKernan MG, Hahn PF, Sahani DV. Enhancing and expansile portal vein thrombosis: value in the diagnosis of hepatocellular carcinoma in patients with multiple hepatic lesions. AJR Am J Roentgenol 2007; 188:1320-3. [PMID: 17449777 DOI: 10.2214/ajr.06.0134] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The objective of this study was to determine whether the presence of enhancing and expansile portal vein thrombus is suggestive of the diagnosis of hepatocellular carcinoma. CONCLUSION In the presence of hepatic tumors, enhancing expansile portal vein thrombus is highly suggestive of hepatocellular carcinoma.
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Affiliation(s)
- Zarine K Shah
- Department of Abdominal Imaging and Intervention, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St., White 270, Boston, MA 02114, USA
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Abstract
Fibrous dysplasia is a developmental disorder in which normal bone marrow is replaced by fibro-osseous tissue. The radiographic, CT and scintigraphic appearances of this condition are well known. The MRI appearances of fibrous dysplasia have not been widely published. The lesions are largely isointense with areas of hypointensity on T(1) weighted images and appear heterogeneously hyperintense on T(2) weighted images. The enhancement pattern is patchy central, rim, homogeneous, or a combination. The MRI features reflect the variable tissue components of this entity. This pictorial review aims at highlighting the MRI appearances, with pathological correlation.
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Affiliation(s)
- Z K Shah
- Department of Diagnostic Radiology, Changi General Hospital, Singapore
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Shah ZK, Peh WCG, Shek TWH, Wong JWK, Chien EP. Hemangioendothelioma with an epithelioid phenotype arising in hemangioma of the fibula. Skeletal Radiol 2005; 34:750-4. [PMID: 15834563 DOI: 10.1007/s00256-005-0912-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2004] [Revised: 02/11/2005] [Accepted: 02/14/2005] [Indexed: 02/02/2023]
Abstract
The classification of certain vascular bone tumors that show an epithelioid cytologic appearance remains confusing, with overlap in features of epithelioid hemangioma, hemangioendothelioma and epithelioid hemangioendothelioma. Radiographs of a 27-year-old woman who presented with ankle pain showed an expanded lytic-sclerotic lesion in the distal left fibula. Magnetic resonance imaging showed an intramedullary lesion with a small lateral intracortical component. The lesion was hypo- to isointense to muscle on T1-weighted images and heterogeneously hyperintense on T2-weighted images. Initial incisional biopsy was inconclusive. Open biopsy showed hemangioendothelioma with epithelioid morphology, and the lesion was completely resected with reconstruction using a peroneal fibular rotation graft. Examination of the resected specimen showed focal hemangioendothelioma with an epithelioid phenotype arising in a hemangioma. This case illustrates the difficulty and pitfalls of making the correct diagnosis on the basis of a small biopsy specimen.
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Affiliation(s)
- Zarine K Shah
- Department of Diagnostic Radiology, Changi General Hospital, Singapore
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Morris B, Shah ZK, Shah P. An intragastric trichobezoar: computerised tomographic appearance. J Postgrad Med 2000; 46:94-5. [PMID: 11013473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
A 26-year-old lady presented with a history of abdominal pain and distension since two months. The ultrasound examination showed an epigastric mass, which was delineated as a filling defect in the stomach on barium studies. The computerised tomographic scan showed a gastric mass with pockets of air in it, without post-contrast enhancement. This case highlights the characteristic appearance on computerised tomography of a bezoar within the stomach, a feature that is not commonly described in medical literature.
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Affiliation(s)
- B Morris
- Department of Radiology, Seth G. S. Medical College and K. E. M. Hospital, Parel, Mumbai - 400 012, India.
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