Evidence map›Paper›PMID 41706393›Full record

ArticleThe international journal of cardiovascular imaging2026

In vivo cardiac diffusion tensor imaging quantifies microstructural disorganization to distinguish hypertrophic cardiomyopathy from hypertensive heart disease.

Yujie Liu, Zhixiang Dong, Gang Yin, Peng Sun, Xuan Ma, Yun Tang, Pengyu Zhou, Xi Jia, Xingrui Chen, Kaisaierjiang Aisikaier and 8 more

Abstract read
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Article in The international journal of cardiovascular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

18 authors.

Yujie Liu *Radiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Zhixiang Dong *Radiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Gang YinRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Peng SunClinical & Technical Support, Philips Healthcare, Beijing, China.
Xuan MaRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Yun TangRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Pengyu ZhouRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Xi JiaRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Xingrui ChenRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Kaisaierjiang AisikaierRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Fen SaRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Wenqing XuRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Bo LiRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Kai YangRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Minjie LuRadiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China.
Shihua Zhao *Radiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China. cjrzhaoshihua2009@163.com.
Kankan Zhao *School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Ave, Jiangning District, Nanjing, 211166, China. zkk1988105@qq.com.
Xiuyu Chen *Radiology Imaging Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beilishi Road No. 167, Xicheng District, Beijing, 100037, China. cxy0202@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate whether cardiac diffusion tensor imaging (cDTI) can discriminate hypertrophic cardiomyopathy (HCM) from hypertensive heart disease (HHD) based on microstructural alterations. MATERIALS AND

methodsThis prospective study enrolled 40 HCM patients and 14 HHD patients who underwent 3.0T cardiac magnetic resonance (CMR), including cDTI, T1 mapping and late gadolinium enhancement (LGE). Parameters of cDTI (mean diffusivity [MD], secondary eigenvector [E2A], helix angel [HA)] and fractional anisotropy [FA]) were compared across groups using analysis of covariance. Diagnostic performance was assessed using receiver operating characteristic analysis. A subgroup analysis was performed in HCM patients with mild hypertrophy (left ventricular wall thickness [LVWT] 13-19 mm).

resultsCompared to patients with HHD, those with HCM showed significantly greater LVWT, LGE extent, native T1 and extracellular volume fraction (ECV, all p < 0.05). cDTI revealed significant microstructural alterations in HCM, characterized by reduced FA (p = 0.001) and elevated E2A p < 0.001). Analysis of covariance confirmed these differences after adjusting for LVWT, native T1, and ECV. ROC analysis demonstrated that E2A (AUC = 0.88) and FA (AUC = 0.79) had superior diagnostic performance for distinguishing HCM from HHD, outperforming native T1 (AUC = 0.76), ECV (AUC = 0.75), and LGE extent (AUC = 0.67). In the HCM subgroup, E2A maintained the highest diagnostic performance (AUC = 0.86), followed by FA and ECV (both AUC = 0.73).

conclusionsE2A and FA derived from cDTI were robust biomarkers of microstructural alterations, enabling superior differentiation of HCM from HHD beyond conventional hypertrophy and fibrosis indices. These findings support the potential utility of cDTI in diagnosis of ambiguous hypertrophy.

Indexed as

Cardiomyopathy, HypertrophicDiffusion Tensor ImagingHypertensionHypertrophy, Left VentricularMagnetic Resonance Imaging, CineMyocardiumAdultAgedContrast MediaDiagnosis, DifferentialFemaleFibrosisHumansMaleMiddle AgedPredictive Value of TestsContrast MediaCardiac magnetic resonance imagingDiffusion tensor imagingDisarrayHypertrophyMicrostructure

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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.