Evidence map›Paper›PMID 39194308›Full record

ReviewAJR. American journal of roentgenology2025

T1 Mapping of the Abdomen, From the

Suraj D Serai, Matthew D Robson, Temel Tirkes, Andrew T Trout

Abstract readReview
In one paragraph

Review in AJR. American journal of roentgenology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Suraj D SeraiDepartment of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.
Matthew D RobsonPerspectum Ltd., Oxford, UK.
Temel TirkesDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN.
Andrew T TroutDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.

Funding

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
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
NCI NIH HHS R01 CA260955NIDDK NIH HHS U01 DK108323
6 · The paper itself

Abstract

By exploiting different tissues' characteristic T1 relaxation times, T1-weighted images help distinguish normal and abnormal tissues, aiding assessment of diffuse and local pathologies. However, such images do not provide quantitative T1 values. Advances in abdominal MRI techniques have enabled measurement of abdominal organs' T1 relaxation times, which can be used to create color-coded quantitative maps. T1 mapping is sensitive to tissue microenvironments including inflammation and fibrosis and has received substantial interest for noninvasive imaging of abdominal organ pathology. In particular, quantitative mapping provides a powerful tool for evaluation of diffuse disease by making apparent changes in T1 occurring across organs that may otherwise be difficult to identify. Quantitative measurement also facilitates sensitive monitoring of longitudinal T1 changes. Increased T1 in the liver helps to predict parenchymal fibroinflammation, in the pancreas is associated with reduced exocrine function from chronic or autoimmune pancreatitis, and in the kidney is associated with impaired renal function and aids diagnosis of chronic kidney disease. In this review, we describe the acquisition, postprocessing, and analysis of T1 maps in the abdomen and explore applications in the liver, spleen, pancreas, and kidney. We highlight practical aspects of implementation and standardization, technical pitfalls and confounding factors, and areas of likely greatest clinical impact.

Indexed as

AbdomenMagnetic Resonance ImagingHumansImage Interpretation, Computer-AssistedfibrosisMOLLIMRIT1 mapping

Identifiers

PMID39194308
PMCPMC12555091

What Socratic holds

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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.