Evidence map›Paper›PMID 40304953›Full record

ArticleLa Radiologia medica2025

Myocardial extracellular volume fraction with spectral detector computed tomography for risk stratification in non-ischemic heart failure.

Jie Deng, Yu Wang, Tianfu Qi, Zhiming Li, Hongen Zheng, Yan Wu, Lin Lu, Deyan Li, Dan Han, Wei Chen

Abstract readValidation Study
In one paragraph

Article in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Jie DengDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Yu WangDepartment of Ultrasound, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Tianfu QiDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Zhiming LiDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Hongen ZhengDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Yan WuDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Lin LuDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Deyan LiDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Dan HanDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China.
Wei ChenDepartment of Radiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China. chenwin2008@163.com.ORCID http://orcid.org/0000-0002-8939-8371

Funding

First-Class Discipline Team of Kunming Medical University 2024XKTDTS03National Natural Science Foundation of China 82060312National Natural Science Foundation of China 82460339Yunnan Clinical Medical Research Center Projects 202102AA100067Yunnan Fundamental Research Projects 202301AY070001-054Yunnan Fundamental Research Projects 202401AS070145
6 · The paper itself

Abstract

purposeTo validate the feasibility of using late iodine enhancement (LIE)-derived ECV on iodine density images using spectral detector computed tomography (SDCT; CT-ECV) and to assess the potential of CT-ECV for risk stratification among patients with non-ischemic heart failure (NIHF). MATERIALS AND

methodsForty-five subjects who underwent cardiac SDCT and CMR were included in the validation group to calculate and compare CT-ECV with CMR-ECV to validate CT-ECV feasibility. Another 117 subjects (82 patients with NIHF, 35 controls) who underwent SDCT were included in the experimental group to explore the potential of CT-ECV for risk stratification. ECV was measured via iodine density images and CMR T1 mapping in accordance with American Heart Association 16-segment models.

resultsIn the validation group, there was no significant difference between CT-ECV and CMR-ECV (P = 0.293), with an insignificant bias. In the experimental group, CT-ECV in patients with NIHF was significantly higher than in controls (P < 0.05). In 82 patients with NIHF, CT-ECV in HFrEF ( HF with reduced ejection fraction: LVEF ≤ 40%) patients was statistically higher than that of HFmEF (HF with mildly reduced ejection fraction: LVEF 41-49%) and HFpEF (HF with preserved ejection fraction: LVEF ≥ 50%) patients (P < 0.05) and a significant difference among patients with NIHF with varied New York Heart Association classes (all P < 0.05); In addition, Kaplan-Meier survival curves and Log-rank test demonstrated that NIHF patients with CT-ECV ≥ 31.29% had higher probability of MACE than NIHF patients with CT-ECV < 31.29% (P < 0.001).

conclusionLIE-derived CT-ECV on iodine density images using SDCT is a promising practical alternative to CMR-ECV, with the potential to assist with risk stratification among patients with NIHF.

Indexed as

Heart FailureTomography, X-Ray ComputedAgedContrast MediaFeasibility StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentContrast MediaExtracellular volume fractionLate iodine enhancementNon-ischemic heart failureSpectral detector computed tomography

Identifiers

PMID40304953
PMCPMC12263805

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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.