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)

Tirkes, Temel; Yadav, Dhiraj; Conwell, Darwin L.; Territo, Paul R.; Zhao, Xuandong; Persohn, Scott A.; Dasyam, Anil K.; Shah, Zarine K.; Venkatesh, Sudhakar K.; Takahashi, Naoki; Wachsman, Ashley; Li, Liang; Li, Yan; Pandol, Stephen J.; Park, Walter G.; Vege, Santhi Swaroop; Hart, Phil A.; Topazian, Mark D.; Andersen, Dana K.; Fogel, Evan L.

doi:10.1007/s00261-022-03654-7

Cited by 25 publications

(20 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…73 In contrast, 2 studies did not report a significant difference in the ADC or IVIM parameters between healthy pancreas and chronic pancreatitis. 15,16 This discrepancy may be attributed to various factors, including the characteristics of the studied samples.…”

Section: Proton Density Fat Fractionmentioning

confidence: 98%

“…4,12 Quantitative evaluations of T1 relaxation time can be used at different stages for diagnosing chronic pancreatitis. 6,[13][14][15][16] Type 2 diabetes mellitus (DM2), the most prevalent form of diabetes mellitus, 17 is associated with pancreatic fibrosis secondary to impaired islet cell function. 18 Early diagnosis and treatment of DM2 can reduce the risk of microvascular complications and the mortality rate.…”

Section: Relaxation Timesmentioning

confidence: 99%

“…37 Previous studies have shown the usefulness of PDFF for the detection and evaluation of chronic pancreatitis. 11,15,37,43 Pancreatic fat infiltration is also considered an integral part of DM2 development. 44,45 Data revealed an association between PDFF and DM2 [46][47][48] ; however, other studies have failed to confirm these findings.…”

Section: Proton Density Fat Fractionmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative Magnetic Resonance Imaging for the Pancreas

Fukukura

Kanki

2023

Invest Radiol

View full text Add to dashboard Cite

Magnetic resonance imaging (MRI) is important for evaluating pancreatic disorders, and anatomical landmarks play a major role in the interpretation of results. Quantitative MRI is an effective diagnostic modality for various pathologic conditions, as it allows the investigation of various physical parameters. Recent advancements in quantitative MRI techniques have significantly improved the accuracy of pancreatic MRI. Consequently, this method has become an essential tool for the diagnosis, treatment, and monitoring of pancreatic diseases. This comprehensive review article presents the currently available evidence on the clinical utility of quantitative MRI of the pancreas.

show abstract

Section: Proton Density Fat Fractionmentioning

confidence: 98%

Section: Relaxation Timesmentioning

confidence: 99%

Section: Proton Density Fat Fractionmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative Magnetic Resonance Imaging for the Pancreas

Fukukura

Kanki

2023

Invest Radiol

View full text Add to dashboard Cite

show abstract

“…130 Quantitative MRI biomarkers of the pancreas, including T1 relaxation time, extracellular volume fraction, apparent diffusion coefficient, and fat signal fraction, have also been found to be helpful in diagnosis of CP. 131 Multi-institutional longitudinal results are needed to verify these parameters as potential imaging biomarkers of pancreatic fibrosis and generate a new scoring system for CP. This more comprehensive imaging approach may lead to early diagnosis and treatment for people living with CP.…”

Section: Mri Technologymentioning

confidence: 99%

“…Most recently, the T1 signal intensity ratio (“T1 score”) has been proposed as an imaging biomarker for the staging of the CP 130 . Quantitative MRI biomarkers of the pancreas, including T1 relaxation time, extracellular volume fraction, apparent diffusion coefficient, and fat signal fraction, have also been found to be helpful in diagnosis of CP 131 . Multi-institutional longitudinal results are needed to verify these parameters as potential imaging biomarkers of pancreatic fibrosis and generate a new scoring system for CP.…”

Section: Tools For Integrated Pancreatic Analysismentioning

confidence: 99%

Integrated Physiology of the Exocrine and Endocrine Compartments in Pancreatic Diseases

Mastracci¹,

Apte

Ámundadóttir

et al. 2022

Pancreas

Self Cite

View full text Add to dashboard Cite

The “Integrated Physiology of the Exocrine and Endocrine Compartments in Pancreatic Diseases” Workshop was a 1.5-day scientific conference at the National Institutes of Health (Bethesda, MD) that engaged clinical and basic science investigators interested in diseases of the pancreas. This report summarizes the workshop proceedings. The goal of the workshop was to forge connections and identify gaps in knowledge that could guide future research directions. Presentations were segregated into 6 major themes, including (a) Pancreas Anatomy and Physiology; (b) Diabetes in the Setting of Exocrine Disease; (c) Metabolic Influences on the Exocrine Pancreas; (d) Genetic Drivers of Pancreatic Diseases; (e) Tools for Integrated Pancreatic Analysis; and (f) Implications of Exocrine-Endocrine Crosstalk. For each theme, there were multiple presentations followed by panel discussions on specific topics relevant to each area of research; these are summarized herein. Significantly, the discussions resulted in the identification of research gaps and opportunities for the field to address. In general, it was concluded that as a pancreas research community, we must more thoughtfully integrate our current knowledge of the normal physiology as well as the disease mechanisms that underlie endocrine and exocrine disorders so that there is a better understanding of the interplay between these compartments.

show abstract

Multiparametric MRI Scoring System of the Pancreas for the Diagnosis of Chronic Pancreatitis

Tirkes,

Yadav,

Conwell

et al. 2024

Magnetic Resonance Imaging

View full text Add to dashboard Cite

BackgroundDuctal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).PurposeDiagnose CP based on multiparametric MRI and MRCP features.Study TypeProspective.PopulationBetween 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 Sequences1.5 T. T1‐weighted (T1W) spoiled gradient echo, T1 map with variable flip angle, dual‐echo Dixon, secretin‐enhanced MRCP before and after secretin infusion.AssessmentDual‐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 TestsLogistic 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.ResultsCompared 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.ConclusionThe CP‐MRI and CP‐SMRI scores yielded acceptable performance and interobserver agreement for the diagnosis of CP.Evidence Level1Technical EfficacyStage 2

show abstract

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)

Cited by 25 publications

References 49 publications

Quantitative Magnetic Resonance Imaging for the Pancreas

Quantitative Magnetic Resonance Imaging for the Pancreas

Integrated Physiology of the Exocrine and Endocrine Compartments in Pancreatic Diseases

Multiparametric MRI Scoring System of the Pancreas for the Diagnosis of Chronic Pancreatitis

Contact Info

Product

Resources

About