Evidence map›Paper›PMID 39400790›Full record

ReviewThe international journal of cardiovascular imaging2024

Myocardial extracellular volume measurement using cardiac computed tomography.

Rahul G Muthalaly, Timothy Abrahams, Andrew Lin, Kush Patel, Sean Tan, Damini Dey, Donghee Han, Balaji K Tamarappoo, Stephen J Nicholls, Nitesh Nerlekar

Abstract readReview
In one paragraph

Review in The international journal of cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Extracellular volume fraction by cardiac computed tomography (ECVEuropean heart journal. Imaging methods and practice · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

10 authors.

Rahul G MuthalalyVictorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia.
Timothy AbrahamsVictorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia.
Andrew LinVictorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia.
Kush PatelSt. Bartholomew's Heart Centre, London, UK.
Sean TanVictorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia.
Damini DeyDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA, USA.
Donghee HanDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA, USA.
Balaji K TamarappooCardiovascular Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Stephen J NichollsVictorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia.
Nitesh NerlekarVictorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia. Nitesh.nerlekar@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial fibrosis is a common endpoint of many cardiac diseases and increasingly recognized as a predictor of heart failure, arrhythmia, and death. Recent studies have utilised cardiac computed tomography (CT) scans with delayed phase imaging to quantify diffuse fibrosis of the myocardium. CT extracellular volume (CT-ECV) measurement correlates well with CMR and histological myocardial fibrosis. Furthermore, CT-ECV predicts outcomes such as death, heart failure and arrhythmia in various disease states. This review summarizes the rationale and methodology behind CT-ECV measurement and provides a detailed summary of the current clinical evidence for the use of CT-ECV.

Indexed as

MyocardiumCardiomyopathiesFibrosisHumansPredictive Value of TestsPrognosisReproducibility of ResultsTomography, X-Ray ComputedCardiomyopathiesFibrosisMultidetector Computed TomographyMyocardium

Identifiers

PMID39400790
PMCPMC11561108

What OpenQuestion holds

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Registered trials

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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.