Magnetic Resonance Imaging As a Non-invasive Method for the Assessment of Pancreatic Fibrosis (MINIMAP): a Comprehensive Study Design from the Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer
Overview
Radiology
Authors
Affiliations
Characteristic features of chronic pancreatitis (CP) may be absent on standard imaging studies. Quantitative Magnetic Resonance Imaging (MRI) techniques such as T mapping, extracellular volume (ECV) fraction, diffusion-weighted imaging (DWI) with apparent diffusion coefficient map (ADC), MR elastography (MRE), and T-weighted signal intensity ratio (SIR) have shown promise for the diagnosis and grading severity of CP. However, radiologists still use the Cambridge classification which is based on traditional ductal imaging alone. There is an urgent need to develop new diagnostic criteria that incorporate both parenchymal and ductal features of CP seen by MRI/MRCP. Designed to fulfill this clinical need, we present the MINIMAP study, which was funded in September 2018 by the National Institutes of Health. This is a comprehensive quantitative MR imaging study which will be performed at multiple institutions in well-phenotyped CP patient cohorts. We hypothesize that quantitative MRI/MRCP features can serve as valuable non-invasive imaging biomarkers to detect and grade CP. We will evaluate the role of T relaxometry, ECV, T-weighted gradient echo SIR, MRE, arteriovenous enhancement ratio, ADC, pancreas volume/atrophy, pancreatic fat fraction, ductal features, and pancreatic exocrine output following secretin stimulation in the assessment of CP. We will attempt to generate a multi-parametric pancreatic tissue fibrosis (PTF) scoring system. We anticipate that a quantitative scoring system may serve as a biomarker of pancreatic fibrosis; hence this imaging technique can be used in clinical practice as well as clinical trials to evaluate the efficacy of agents which may slow the progression or reverse measures of CP.
Czarnecka Z, Verhoeff K, Bigam D, Dajani K, Shapiro J, Anderson B Ann Hepatobiliary Pancreat Surg. 2024; 29(1):62-71.
PMID: 39617392 PMC: 11830892. DOI: 10.14701/ahbps.24-172.
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.
Zhang Z, Keles E, Durak G, Taktak Y, Susladkar O, Gorade V Med Image Anal. 2024; 99:103382.
PMID: 39541706 PMC: 11698238. DOI: 10.1016/j.media.2024.103382.
Multiparametric MRI Scoring System of the Pancreas for the Diagnosis of Chronic Pancreatitis.
Tirkes T, Yadav D, Conwell D, Zhao X, Dasyam A, Halappa V J Magn Reson Imaging. 2024; .
PMID: 39225586 PMC: 11873175. DOI: 10.1002/jmri.29594.
Advances in MRI of Chronic Pancreatitis.
Tirkes T Adv Clin Radiol. 2024; 6(1):31-39.
PMID: 39185367 PMC: 11339961. DOI: 10.1016/j.yacr.2024.04.002.
AGA-PancreasFest Joint Symposium on Exocrine Pancreatic Insufficiency.
Whitcomb D, Duggan S, Martindale R, Lowe M, Stallings V, Conwell D Gastro Hep Adv. 2024; 2(3):395-411.
PMID: 39132652 PMC: 11307793. DOI: 10.1016/j.gastha.2022.11.008.