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Multiparametric MRI Scoring System of the Pancreas for the Diagnosis of Chronic Pancreatitis.
Tirkes, Temel; Yadav, Dhiraj; Conwell, Darwin L; Zhao, Xuandong; Dasyam, Anil K; Halappa, Vivek Gowdra; Patel, Aashish; Shah, Zarine K; Swensson, Jordan; Takahashi, Naoki; Venkatesh, Sudhakar; Wachsman, Ashley; Li, Liang; Jennings, Kristofer; Yang, Yunlong; Hart, Phil A; Pandol, Stephen J; Park, Walter G; Vege, Santhi Swaroop; Topazian, Mark; Territo, Paul R; Persohn, Scott A; Andersen, Dana K; Fogel, Evan L.
Afiliación
  • Tirkes T; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Yadav D; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Conwell DL; Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, Kentucky, USA.
  • Zhao X; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Dasyam AK; Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Halappa VG; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Patel A; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Shah ZK; Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
  • Swensson J; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Takahashi N; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Venkatesh S; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Wachsman A; Department of Imaging, Cedars-Sinai Medical Center, University of California in Los Angeles, Los Angeles, California, USA.
  • Li L; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Jennings K; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Yang Y; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Hart PA; Division of Gastroenterology, Hepatology & Nutrition, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
  • Pandol SJ; Division of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Park WG; Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Stanford, California, USA.
  • Vege SS; Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Topazian M; Mayo Clinic, Rochester, Minnesota, USA.
  • Territo PR; Division of Clinical Pharmacology, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Persohn SA; Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Andersen DK; Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  • Fogel EL; Lehman, Bucksot and Sherman Section of Pancreatobiliary Endoscopy, Indiana University School of Medicine, Indianapolis, Indiana, USA.
J Magn Reson Imaging ; 2024 Sep 03.
Article en En | MEDLINE | ID: mdl-39225586
ABSTRACT

BACKGROUND:

Ductal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).

PURPOSE:

Diagnose CP based on multiparametric MRI and MRCP features. STUDY TYPE Prospective. POPULATION Between February 2019 and May 2021, 46 control (23 males, 49.3 ± 14.1 years), 45 suspected (20 males, 48.7 ± 12.5 years), and 46 definite (20 males, 53.7 ± 14.6 years) CP patients were enrolled at seven hospitals enrolled in the MINIMAP study. CP classification was based on imaging findings and clinical presentation. FIELD STRENGTH AND SEQUENCES 1.5 T. T1-weighted (T1W) spoiled gradient echo, T1 map with variable flip angle, dual-echo Dixon, secretin-enhanced MRCP before and after secretin infusion. ASSESSMENT Dual-echo fat fraction (FF), T1 relaxation time, extracellular volume (ECV), T1 signal intensity ratio of the pancreas to the spleen (T1 score), arterial-to-venous enhancement ratio (AVR), pancreatic tail diameter (PTD), pancreas volume, late gadolinium enhancement, pancreatic ductal elasticity (PDE), and duodenal filling grade of secretin-enhanced MRCP were measured. STATISTICAL TESTS Logistic regression analysis generated CP-MRI and secretin-enhanced CP-SMRI scores. Receiver operating characteristics analysis was used to differentiate definite CP from control. Interobserver agreement was assessed using Lin's concordance correlation coefficient.

RESULTS:

Compared to control, definite CP cohort showed significantly higher dual-echo FF (7% vs. 11%), lower AVR (1.35 vs. 0.85), smaller PTD (2.5 cm vs. 1.95 cm), higher ECV (28% vs. 38%), and higher incidence of PDE loss (6.5% vs. 50%). With the cut-off of >2.5 CP-MRI score (dual-echo FF, AVR, and PTD) and CP-SMRI score (dual-echo FF, AVR, PTD, and PDE) had cross-validated area under the curves of 0.84 (sensitivity 87%, specificity 68%) and 0.86 (sensitivity 89%, specificity 67%), respectively. Interobserver agreement for both CP-MRI and CP-SMRI scores was 0.74.

CONCLUSION:

The CP-MRI and CP-SMRI scores yielded acceptable performance and interobserver agreement for the diagnosis of CP. EVIDENCE LEVEL 1 TECHNICAL EFFICACY Stage 2.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos