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Helgadottir H, Vesterhus M. Noninvasive evaluation of fibrosis in adult biliary diseases. Curr Opin Gastroenterol 2023; 39:83-88. [PMID: 36821455 DOI: 10.1097/mog.0000000000000909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
PURPOSE OF REVIEW Liver fibrosis is highly associated with disease progression and clinical outcome in primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC), the major chronic biliary diseases in adults. Establishment of validated tools for the noninvasive evaluation of liver fibrosis in PBC and PSC for use in patient follow-up, and effect evaluation in clinical trials, has been a top research priority over recent years. RECENT FINDINGS Two studies in large PBC patient panels investigated liver stiffness measurement by vibration-controlled transient elastography (VCTE) and two studies in PSC demonstrated enhanced liver fibrosis (ELF) variation over time, confirming VCTE and ELF as good prognostic markers. Currently, magnetic resonance elastography (MRE), quantitative MRI mapping and novel serum extracellular matrix and extracellular vesicle markers show promising results for fibrosis and prognostic assessment in biliary diseases. SUMMARY In this article, we will briefly review recent studies supporting recommendations to assess liver fibrosis and prognosis using the ELF test and VCTE during clinical follow-up in both PBC and PSC. We will discuss emerging evidence for MRE and other imaging techniques, and novel serum fibrosis markers, for which sufficient data or availability is currently limited precluding recommendations for clinical use.
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Affiliation(s)
- Holmfridur Helgadottir
- Norwegian PSC Research Centre, Department of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet, Oslo.,Department of Medicine, Haraldsplass Deaconess Hospital
| | - Mette Vesterhus
- Norwegian PSC Research Centre, Department of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet, Oslo.,Department of Medicine, Haraldsplass Deaconess Hospital.,Department of Clinical Science, University of Bergen, Bergen, Norway
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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] [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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Bowel wall MRI T1 relaxation estimates for assessment of intestinal inflammation in pediatric Crohn's disease. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:2730-2738. [PMID: 35657390 DOI: 10.1007/s00261-022-03560-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE To compare bowel wall T1 relaxation estimates in young patients with newly diagnosed ileal CD to healthy control participants, characterize their change over time in response to biologic medical therapy, and evaluate their associations with clinical markers of intestinal inflammation. MATERIALS AND METHODS Patients with newly diagnosed ileal CD and healthy control participants were prospectively recruited between December 2018 and October 2021. Patients underwent research MRI examinations of the bowel at baseline and at 6-weeks and 6-months into biologic medical treatment; control participants underwent single MRI examinations. MRI examinations included native T1 relaxometry of the terminal ileum using a modified Look-Locker inversion recovery (MOLLI) sequence. T1 estimates were measured on scanner-generated parametric maps. Clinical markers of intestinal inflammation were recorded at each visit. Group differences were assessed using the Mann-Whitney U test; the Friedman test was used to assess longitudinal changes in T1 estimates. Spearman correlation was used to evaluate associations between T1 estimates and inflammatory markers. RESULTS Nineteen participants with CD (12 males; median age 14 years) and 15 control participants (7 males; median age 17 years) were included in the study. Bowel wall T1 estimates in CD patients (median 1302 ms) were significantly longer compared to control participants (median 1159 ms) (p < 0.001). In CD patients, T1 estimates changed over time after treatment (p = 0.001), with largest reductions between baseline and 6-weeks (p < 0.001). T1 estimates correlated with inflammatory markers, including erythrocyte sedimentation rate (ρ = 0.35; p = 0.01), c-reactive protein level (ρ = 0.34; p = 0.02), and weighted Pediatric Crohn's Disease Activity Index (ρ = 0.39; p = 0.005). T1 estimates did not correlate with serum albumin (ρ = - 0.28; p = 0.051) and fecal calprotectin (ρ = 0.07; p = 0.63). CONCLUSION Bowel wall T1 estimates are abnormally increased in newly diagnosed ileal CD patients and decrease in response to medical therapy.
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Duan T, Jiang HY, Ling WW, Song B. Noninvasive imaging of hepatic dysfunction: A state-of-the-art review. World J Gastroenterol 2022; 28:1625-1640. [PMID: 35581963 PMCID: PMC9048786 DOI: 10.3748/wjg.v28.i16.1625] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/17/2021] [Accepted: 03/27/2022] [Indexed: 02/06/2023] Open
Abstract
Hepatic dysfunction represents a wide spectrum of pathological changes, which can be frequently found in hepatitis, cholestasis, metabolic diseases, and focal liver lesions. As hepatic dysfunction is often clinically silent until advanced stages, there remains an unmet need to identify affected patients at early stages to enable individualized intervention which can improve prognosis. Passive liver function tests include biochemical parameters and clinical grading systems (e.g., the Child-Pugh score and Model for End-Stage Liver Disease score). Despite widely used and readily available, these approaches provide indirect and limited information regarding hepatic function. Dynamic quantitative tests of liver function are based on clearance capacity tests such as the indocyanine green (ICG) clearance test. However, controversial results have been reported for the ICG clearance test in relation with clinical outcome and the accuracy is easily affected by various factors. Imaging techniques, including ultrasound, computed tomography, and magnetic resonance imaging, allow morphological and functional assessment of the entire hepatobiliary system, hence demonstrating great potential in evaluating hepatic dysfunction noninvasively. In this article, we provide a state-of-the-art summary of noninvasive imaging modalities for hepatic dysfunction assessment along the pathophysiological track, with special emphasis on the imaging modality comparison and selection for each clinical scenario.
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Affiliation(s)
- Ting Duan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Han-Yu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Wen-Wu Ling
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
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