Evidence map›Paper›PMID 41192606›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2025

Simultaneous free-breathing T1, T2, and T1ρ mapping for myocardial fibrosis detection in non-ischemic cardiomyopathy: A comparative study with conventional techniques.

Yali Wu, Xianling Qian, Kai Liu, Zhenfeng Lyu, Shiyu Wang, Yinyin Chen, Ling Chen, Zhuolin Liu, Lin Tian, Hang Jin and 2 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2025. 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. Fully automated free-breathing cardiac magnetic resonance imaging at 3T: A prospective randomized study of image quality, efficiency, and workflow burden.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
    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

12 authors.

Yali WuShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xianling QianShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Kai LiuShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhenfeng LyuSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China; Shanghai Clinical Research and Trial Center, Shanghai, China.
Shiyu WangShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yinyin ChenShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Ling ChenShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhuolin LiuShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Lin TianCircle Cardiovascular Imaging Inc, Calgary, Alberta, Canada.
Hang JinShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Haikun QiSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China; Shanghai Clinical Research and Trial Center, Shanghai, China. Electronic address: qihk@shanghaitech.edu.cn.
Mengsu ZengShanghai Institute of Medical Imaging, Shanghai, China; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address: zeng.mengsu@zs-hospital.sh.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative myocardial mapping is critical for tissue characterization in non-ischemic cardiomyopathy (NICM). However, conventional techniques require separate breath-hold acquisitions, prolonging scan time and impairing co-registration. This study aimed to assess the feasibility and diagnostic performance of a novel free-breathing multimap (FBmultimap) sequence enabling simultaneous T1, T2, and T1ρ mapping in a single acquisition.

methodsOnehundred-nine participants were prospectively enrolled, including 48 with hypertrophic cardiomyopathy (HCM), 28 with dilated cardiomyopathy (DCM), and 33 healthy controls. All underwent cardiac MRI with both FBmultimap and conventional mapping sequences (modified Look-Locker inversion recovery (MOLLI) T1, T2-prepared balanced steady-state free precession (bSSFP), and T1ρ-prepared bSSFP). Image quality was assessed using subjective (four-point Likert scale) and objective (edge sharpness) methods. Myocardial relaxation times were analyzed in the following two subgroups: (1) HCM and DCM vs. controls, and (2) late gadolinium enhancement (LGE)-positive and LGE-negative patients vs. controls. Combined diagnostic indices (T1 + T1ρ) were derived using logistic regression. Diagnostic performance was evaluated using receiver operating characteristic analysis across the following six models: FBmultimap (T1 + T1ρ), FBmultimap T1, FBmultimap T1ρ, conventional (T1 + T1ρ), MOLLI T1, and T1ρ-prepared bSSFP, with area under the curve (AUC) calculated.

resultsFBmultimap significantly reduced total scan time for T1 + T2 + T1ρ mapping to 66±6 s, compared with 195±10 s using conventional methods (p<0.001), while maintaining comparable image quality (all p>0.05). T1 and T1ρ values measured by FBmultimap were significantly elevated in HCM and DCM groups compared to controls, regardless of LGE status (all p<0.05), whereas T2 values showed no significant differences. FBmultimap (T1 + T1ρ) achieved higher AUCs for distinguishing LGE-positive (0.904) and LGE-negative (0.859) patients from controls than FBmultimap T1 (0.877 and 0.829), FBmultimap T1ρ (0.608 and 0.764), MOLLI T1 (0.770 and 0.671), T1ρ-prepared bSSFP (0.734 and 0.778), and the conventional (T1 + T1ρ) model (0.801 and 0.819).

conclusionFBmultimap enables rapid, co-registered, free-breathing mapping of myocardial T1, T2, and T1ρ with high reproducibility and improved diagnostic performance over conventional single-parameter methods. It holds promise as a clinically applicable tool for myocardial fibrosis detection, risk stratification, and longitudinal monitoring in patients with HCM and DCM.

Indexed as

CardiomyopathiesCardiomyopathy, DilatedCardiomyopathy, HypertrophicImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMyocardiumAdultAgedCase-Control StudiesContrast MediaFeasibility StudiesFemaleFibrosisHumansMaleContrast MediaDilated cardiomyopathyFree-breathingHypertrophic cardiomyopathyMultiparametric mapping

Identifiers

PMID41192606
PMCPMC12766603

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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.