Evidence map›Paper›PMID 37369831›Full record

ArticleEuropean radiology2023

Inter-software and inter-scan variability in measurement of epicardial adipose tissue: a three-way comparison of a research-specific, a freeware and a coronary application software platform.

Jasmine Chan, Udit Thakur, Sean Tan, Rahul G Muthalaly, Harsh Thakkar, Vinay Goel, Yeong-Chee Cheen, Damini Dey, Adam J Brown, Dennis T L Wong and 1 more

Abstract read
In one paragraph

Article in European radiology, 2023. 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. Article
  2. Article
  3. Review
  4. Epicardial adipose tissue in type 1 diabetes mellitus: a systematic review and meta-analysis.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
    Review
  5. Review
  6. Article
  7. Article
  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

11 authors.

Jasmine ChanMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Udit ThakurMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Sean TanMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Rahul G MuthalalyMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Harsh ThakkarMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Vinay GoelMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Yeong-Chee CheenMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Damini DeyCedars Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.
Adam J BrownMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Dennis T L WongMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia.
Nitesh NerlekarMonash Cardiovascular Research Centre, Monash University and MonashHeart, Monash Health, Clayton, VIC, Australia. nitesh.nerlekar@monash.edu.

Funding

Automated quantitative CT imaging of epicardial adipose tissue and risk of cardiac eventsR01HL133616 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2016 to 2019
$2.6M
NHLBI NIH HHS R01 HL133616
6 · The paper itself

Abstract

objectivesEpicardial adipose tissue (EAT) is a proposed marker of cardiovascular risk; however, clinical application may be limited by variability in post-processing software platforms. We assessed inter-vendor agreement of EAT volume (EATv) and attenuation on both contrast-enhanced (CE) and non-contrast CT (NCT) using a standard coronary CT reporting software (Vitrea), an EAT research-specific software (QFAT) and a freeware imaging software (OsiriX).

methodsSeventy-six consecutive patients undergoing simultaneous CE and NCT had complete volumetric EAT measurement. Between-software, within-software NCT vs. CE, and inter- and intra-observer agreement were evaluated with analysis by ANOVA (with post hoc adjustment), Bland-Altman with 95% levels of agreement (LoA) and intraclass correlation coefficient (ICC).

resultsMean EATv (freeware 53 ± 31 mL vs. research 93 ± 43 mL vs. coronary 157 ± 64 mL) and attenuation (freeware  - 72 ± 25 HU vs. research  - 75 ± 3 HU vs. coronary  - 61 ± 10 HU) were significantly different between all vendors (ANOVA p < 0.001). EATv was consistently higher in NCT vs. CE for all software packages, with most reproducibility found in research software (bias 26 mL, 95% LoA: 2 to 56 mL), compared to freeware (bias 11 mL 95% LoA: - 46 mL to 69 mL) and coronary software (bias 10 mL 95% LoA: - 127 to 147 mL). Research software had more comparable NCT vs. CE attenuation (- 75 vs. - 72 HU) compared to freeware (- 72 vs. - 57 HU) and coronary (- 61 vs.  - 39 HU). Excellent inter-observer agreement was seen with research (ICC 0.98) compared to freeware (ICC 0.73) and coronary software (ICC 0.75) with narrow LoA on Bland-Altman analysis.

conclusionThere are significant inter-vendor differences in EAT assessment. Our study suggests that research-specific software has better agreement and reproducibility compared to freeware or coronary software platforms. KEY POINTS: • There are significant differences between EAT volume and attenuation values between software platforms, regardless of scan type. • Non-contrast scans routinely have higher mean EAT volume and attenuation; however, this finding is only consistently seen with research-specific software. • Of the three analyzed packages, research-specific software demonstrates the highest reproducibility, agreement, and reliability for both inter-scan and inter-observer agreement.

Indexed as

Coronary Artery DiseaseTomography, X-Ray ComputedAdipose TissueCoronary AngiographyHumansObesityReproducibility of ResultsSoftwareAdipose tissueAtherosclerosisComputed tomography angiographyCoronary artery disease

Identifiers

PMID37369831
PMCPMC10667389

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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.