Evidence map›Paper›PMID 37436452›Full record

ArticleAbdominal radiology (New York)2023

Diagnosis of chronic pancreatitis using semi-quantitative MRI features of the pancreatic parenchyma: results from the multi-institutional MINIMAP study.

Temel Tirkes, Dhiraj Yadav, Darwin L Conwell, Paul R Territo, Xuandong Zhao, Scott A Persohn, Anil K Dasyam, Zarine K Shah, Sudhakar K Venkatesh, Naoki Takahashi and 11 more

Abstract read
In one paragraph

Article in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Methanol Extract fromAntioxidants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Advances in MRI of Chronic Pancreatitis.Advances in clinical radiology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Temel TirkesDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA. atirkes@iu.edu.ORCID http://orcid.org/0000-0002-0185-8741
Dhiraj YadavDivision of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Darwin L ConwellDepartment of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY, USA.
Paul R TerritoDivision of Clinical Pharmacology, Stark Neurosciences Research Institute, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Xuandong ZhaoDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Scott A PersohnStark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Anil K DasyamDepartment of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Zarine K ShahDepartment of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Naoki TakahashiDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Ashley WachsmanDepartment of Imaging, University of California in Los Angeles, Los Angeles, CA, USA.
Liang LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yan LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Stephen J PandolDivision of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Walter G ParkDivision of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Stanford, CA, USA.
Santhi Swaroop VegeDepartment of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Phil A HartDivision of Gastroenterology, Hepatology & Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Mark TopazianMayo Clinic, Rochester, MN, USA.
Dana K AndersenDivision of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
Evan L FogelLehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, IN, USA.
Consortium for the Study of Chronic Pancreatitis, Diabetes, Pancreatic Cancer (CPDPC)

Funding

Consortium for the Study of Chronic Pancreatitis, Diabetes and Pancreatic Cancer: Coordinating and Data Management Center (CSCPDPC-CDMC)U01DK108328 · NIDDK · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Liang Li, Suyu Liu · 2015 to 2026
$32.8M
Indiana University (IU) Clinical Center for Chronic Pancreatitis Clinical Research NetworkU01DK108323 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Jeffrey James Easler, Evan L Fogel · 2015 to 2026
$6.5M
UPMC Clinical Center for the Study of Chronic Pancreatitis and DiabetesU01DK108306 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Frederico G. S. Toledo, Dhiraj Yadav · 2015 to 2026
$6.4M
The Stanford Clinical Center for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic CancerU01DK108300 · NIDDK · STANFORD UNIVERSITY · PI Sohail Z Husain, Walter Gwang-Up Park · 2015 to 2026
$6.3M
The Exocrine and Endocrine Pancreas in Type 2 Diabetes, Pancreatitis and Cancer (Admin Supplement)U01DK108288 · NIDDK · MAYO CLINIC ROCHESTER · PI Santhi Swaroop Vege · 2015 to 2026
$5.9M
The Ohio State University Pancreatic Disorders Network (OSU-PDN)U01DK108327 · NIDDK · OHIO STATE UNIVERSITY · PI CONWELL, DARWIN LEWIS, HART, PHILIP A. · 2015 to 2024
$5.5M
Predicting Pancreatic Ductal Adenocarcinoma PDAC Through Artificial Intelligence Analysis of Pre Diagnostic CT Images in African AmericansR01CA260955 · NCI · CEDARS-SINAI MEDICAL CENTER · PI LI, DEBIAO, PANDOL, STEPHEN J. · 2021 to 2025
$4.8M
Indiana University clinical Center for acute pancreatitis and diabetes clinical research networkU01DK127382 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina, Evan L Fogel · 2020 to 2026
$2.4M
Magnetic resonance Imaging as a Non-Invasive Method for Assessment of Pancreatic fibrosis (MINIMAP): a pilot studyR01DK116963 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI FOGEL, EVAN L, TIRKES, TEMEL · 2018 to 2020
$2.0M
NCI NIH HHS R01 CA260955NIDDK NIH HHS R01 DK116963NIDDK NIH HHS U01 DK108288NIDDK NIH HHS U01 DK108300NIDDK NIH HHS U01 DK108306NIDDK NIH HHS U01 DK108323NIDDK NIH HHS U01 DK108327NIDDK NIH HHS U01 DK108328NIDDK NIH HHS U01 DK127382
6 · The paper itself

Abstract

purposeTo determine the diagnostic performance of parenchymal MRI features differentiating CP from controls.

methodsThis 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).

resultsWhen 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.

conclusionSemi-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.

Indexed as

PancreasPancreatitis, ChronicHumansMagnetic Resonance ImagingProspective StudiesChronic pancreatitisEnhancementMRISizeT1Volume

Identifiers

PMID37436452
PMCPMC10650972

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.