Evidence map›Paper›PMID 41590861›Full record

ArticleJournal of cardiovascular development and disease2026

Excellent Reproducibility of Synthetic Extracellular Volume Without Blood Extraction Across Different Cardiomyopathies Using Published Regression Models.

Jeong W Choi, Sylvia Biso, Jonathan Weber, Karli Pipitone, Shibu Philip, Omar K Khalique

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jeong W ChoiDivision of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY 11576, USA.ORCID 0000-0002-1561-8415
Sylvia BisoDivision of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY 11576, USA.
Jonathan WeberDivision of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY 11576, USA.ORCID 0000-0002-6847-8057
Karli PipitoneDivision of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY 11576, USA.ORCID 0009-0004-5349-2456
Shibu PhilipDivision of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY 11576, USA.
Omar K KhaliqueDivision of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY 11576, USA.ORCID 0000-0003-1850-8665

Funding

St. Francis Hospital Foundation N/A
6 · The paper itself

Abstract

T1 mapping and extracellular volume (ECV) calculations in cardiac magnetic resonance (CMR) have the potential to identify early fibrosis that is not yet visible using late gadolinium enhancement; however, the need for same-day blood draws due to the temporal variations in hematocrit (Hct) limits the use of ECV. We aimed to determine the reproducibility of synthetic Hct and ECV using different published models among groups of subjects. Healthy subjects and those with diagnosed cardiac amyloidosis, sarcoidosis, and hypertrophic cardiomyopathy (HCM) scanned using a 1.5T scanner with native and post-contrast T1 maps and same-day Hct were included. Among 148 subjects, there was excellent reproducibility (all ICCs ~0.98) between synthetic and measured ECV across the six formulas, despite only modest reproducibility of synthetic/measured Hct (ICCs 0.52-0.66). The levels of accuracy predicting abnormal measured ECV were consistently excellent among the different synthetic ECV models. The difference in the CMR vendor used to generate models did not seem to affect the results of the comparisons. We conclude that synthetic ECV yielded excellent reproducibility compared with ECV calculated using measured hematocrit, possibly obviating the need for blood extraction in cardiac MRI settings without point-of-care Hct.

Indexed as

extracellular volumeinfiltrative cardiomyopathysynthetic ECVsynthetic hematocrit

Identifiers

PMID41590861
PMCPMC12841755

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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.