Evidence mapPaperPMID 39185367Full record

ArticleAdvances in clinical radiology2024

Advances in MRI of Chronic Pancreatitis.

Temel Tirkes

Abstract read
In one paragraph

Article in Advances in clinical radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Temel TirkesDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd. Suite 0663, Indianapolis, IN, 46202, USA.

Funding

Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT ImagesR01CA260955 · CEDARS-SINAI MEDICAL CENTER · 2025 to 2025
$876k
Indiana University (IU) Clinical Center for Chronic Pancreatitis Clinical Research NetworkU01DK108323 · INDIANA UNIVERSITY INDIANAPOLIS · 2025 to 2025
$546k
Indiana University clinical Center for acute pancreatitis and diabetes clinical research networkU01DK127382 · INDIANA UNIVERSITY INDIANAPOLIS · 2025 to 2025
$505k
NCI NIH HHS R01 CA260955NIDDK NIH HHS R01 DK116963NIDDK NIH HHS U01 DK108323NIDDK NIH HHS U01 DK127382
6 · The paper itself

Abstract

MRI and MRCP play an essential role in diagnosing CP by imaging pancreatic parenchyma and ducts. Quantitative and semi-quantitative MR imaging offers potential advantages over conventional MR imaging, including simplicity of analysis, quantitative and population-based comparisons, and more direct interpretation of disease progression or response to drug therapy. Using parenchymal imaging techniques may provide quantitative metrics for determining the presence and severity of acinar cell loss and aid in diagnosing CP. Given that the parenchymal changes of CP precede the ductal involvement, there would be a significant benefit from developing a new MRI/MRCP based, more robust diagnostic criteria combining ductal and parenchymal findings.

Indexed as

Chronic PancreatitisDiagnosisMRCPMRIQuantitative MRI

Identifiers

PMID39185367
PMCPMC11339961

What Socratic holds

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Read underepoch 390

Registered trials

None linked

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 Socratic graph.