Huaibi Huo

Huaibi Huo

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Huaibi Huo has a total of 15 co-authors. Here are the top co-authors by number of shared publications:

  • Hui Liu

    Department of CT, Shaanxi Provincial People’s Hospital, Xi’an, China

    1 shared publication
  • Jian Liu

    Department of Radiology, The Third People’s Hospital of Chengdu, Chengdu, China

    1 shared publication
  • Jiangyu Tian

    Department of Radiology, The Third People’s Hospital of Chengdu, Chengdu, China

    1 shared publication
  • Jibin Cao

    Department of Radiology, The First Hospital of China Medical University, 155 Nanjing Bei Street, Heping District, Shenyang 110001, China

    1 shared publication
  • Jin Gao

    Department of Radiology, The Third People’s Hospital of Chengdu, Chengdu, China

    1 shared publication
  • Kexin Zhu

    Department of Radiology, The First Hospital of China Medical University, Shenyang, China

    1 shared publication

Latest Publications

  • Open Access

    Left ventricular deformation and tissue characteristics in hypertrophic cardiomyopathy patients with HFpEF: a CMR study

    by Jian Liu, Zhengkai Zhao, Qiuyi Cai, Jiangyu Tian, Jin Gao, Hui Liu, Yao Song, Yuheng Huang, Zhuoan Li, Huaibi Huo, et al.

    Purpose: This study aimed to evaluate left ventricular (LV) deformation and tissue characteristics using cardiac magnetic resonance (CMR) in patients with hypertrophic cardiomyopathy (HCM) and heart failure with preserved ejection fraction (HFpEF), to examine their associations with heart failure status, and to explore the correlations between CMR parameters and the H 2 FPEF score. Methods: This retrospective study included 105 patients with HCM who underwent 3.0-T CMR. Participants were classified into HFpEF ( n = 46) and non-HF ( n = 59) groups according to the 2019 ESC HFA-PEFF algorithm. Global radial strain (GRS), global circumferential strain (GCS), global longitudinal strain (GLS), and corresponding systolic and early-diastolic strain rates were derived using CMR feature tracking. Myocardial tissue characterization included native T1 and T2 mapping, extracellular volume fraction (ECV), and late gadolinium enhancement (LGE). Group differences were assessed with t-tests or chi-square tests. Associations between strain, tissue parameters, and the H 2 FPEF score were evaluated using Spearman correlations. Multivariable logistic regression was performed to identify independent CMR predictors of HFpEF. Results: Compared with non-HF patients, those with HCM-HFpEF showed significantly reduced LV systolic and early-diastolic strain rates, including sGRSr ( P = 0.010), sGCSr ( P = 0.044), sGLSr ( P = 0.018), and eGLSr ( P = 0.006). They also demonstrated a higher prevalence and greater extent of LGE, as well as elevated native T1 and ECV values (all P < 0.05). Strain parameters correlated significantly with tissue characteristics (native T1 and mean ECV), except for GCS and ECV. In multivariable analysis, drinking, atrial fibrillation, lower LV-eGLSr, and higher ECV in segments with maximal wall thickness were independently associated with HCM-HFpEF. The H₂FPEF score showed weak but significantly correlations with native T1, ECV, and T2 values in both global and hypertrophied myocardial segments ( r = 0.199–0.252, all P < 0.05). Conclusions: HCM patients with HFpEF exhibit both systolic and diastolic dysfunction, accompanied by increased diffuse and focal fibrosis. Independent predictors of HFpEF include lower LV-eGLSr, higher segmental ECV, atrial fibrillation, and drinking. The H 2 FPEF score shows significant associations with tissue-level abnormalities, highlighting the complementary role of CMR-derived strain and tissue characterization in the early detection and risk stratification of HFpEF in HCM.


  • Open Access

    Biventricular Myocardial Strain Analysis in Patients with Pulmonary Arterial Hypertension Using Cardiac Magnetic Resonance Tissue-Tracking Technology

    by Jibin Cao, Simiao Li, Lingling Cui, Kexin Zhu, Huaibi Huo, Ting Liu

    To evaluate both left and right ventricular (LV and RV) function in patients with pulmonary arterial hypertension (PAH) using cardiac magnetic resonance tissue-tracking (CMR-TT) technology and explore its clinical value. Methods: A total of 79 participants (including 47 patients with PAH and 32 healthy controls) underwent cardiac magnetic resonance imaging (CMRI) with a short-axis balanced steady-state free precession (SSFP) sequence. The biventricular cardiac function parameters and strain parameters were obtained by postprocessing with CVI42 software. A comparative analysis was performed between the LV and RV strain parameters in all PAH patients and in PAH patients with reduced or preserved cardiac function. Results: The results showed preferable repeatability of CMR-TT in analyzing the global radial strain (GRS), circumferential strain (GCS), and longitudinal strain (GLS) of the left and right ventricles in the PAH group. The GRS, GCS, and GLS of the left and right ventricles except for LV GRS (LVGRS) of PAH patients were significantly lower than those of healthy controls (p < 0.05 for all). The GRS and GCS of the left and right ventricles showed a moderate correlation in the PAH group (r = 0.323, p = 0.02; r = 0.301, p = 0.04, respectively). PAH patients with preserved RV function (n = 9) showed significantly decreased global and segmental RS, CS, and LS of the right ventricles than healthy controls (p < 0.05 for all), except for basal RVGCS (RVGCS-b, p = 0.996). Only the LVGLS was significantly different between the PAH patients with preserved LV function (n = 32) and the healthy controls (−14.23 ± 3.01% vs. −16.79 ± 2.86%, p < 0.01). Conclusions: As a nonradioactive and noninvasive technique, CMR-TT has preferable feasibility and repeatability in quantitatively evaluating LV and RV strain parameters in PAH patients and can be used to effectively detect early biventricular myocardial damage in patients with PAH.