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• Clinical Article •
Study of the value of radiomics based on cardiac magnetic resonance in hypertrophic cardiomyopathy
LÜ Jing  ZHU Yongqi  ZHU Yanfang  HE Ying  WANG Yilin  WANG Pei  ZHU Li  LIU Yun 

Cite this article as: LÜ J, ZHU Y Q, ZHU Y F, et al. Study of the value of radiomics based on cardiac magnetic resonance in hypertrophic cardiomyopathy[J]. Chin J Magn Reson Imaging, 2024, 15(2): 30-41. DOI:10.12015/issn.1674-8034.2024.02.005.


[Abstract] Objective To extract and analyze the myocardial radiomics features of patients with hypertrophic cardiomyopathy (HCM) and healthy controls, and to explore the clinical application value of radiomics features of HCM based on cardiac magnetic resonance (CMR) radiomics.Materials and Methods The CMR imaging and clinical data of 142 patients with HCM and 72 healthy controls from the General Hospital of Ningxia Medical University from January 1, 2018 to December 31, 2022 were retrospectively collected and analyzed. The CMR unenhanced bright-blood cine sequence was used to select the left ventricular long axis two-chamber and four-chamber mitral valve level view. Based on the end-diastolic wall thickness (EDWT), the myocardium of HCM patients was divided into hypertrophic region (no family history of HCM, EDWT≥15 mm; family history of HCM, EDWT≥13 mm) and non-hypertrophic region (no family history of HCM, EDWT <15 mm; family history of HCM, EDWT<13 mm), the region of interest (ROI) was delineated and radiomics features were extracted from the ventricular wall of the same anatomical part of the healthy control group, such as ventricular septum, apex of heart, lateral wall of left ventricle, anterior wall of left ventricle and inferior wall of left ventricle,and the radiomics features were compared between the two groups after grouping. Mann-Whitney U test, recursive feature elimination (RFE), and least absolute shrinkage and selection operator (LASSO) were used to select the radiomics features and establish the radiomics model. Finally, the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) and area under the curve (AUC) were used to evaluate the performance of each model. The clinical data of HCM patients and healthy controls were statistically analyzed.Results (1) In the HCM group, left ventricular end systolic volume (LVESV), LVESV index (LVESVI), left ventricular end diastolic wall mass (LVED wall mass), left ventricular end diastolic wall+papillary mass (LVED wall+papillary mas), left ventricular end systolic wall mass( LVES wall mass), left ventricular end systolic wall+papillary mass ( LVES wall+papillary mass), left ventricular maximum end-diastolic wall thickness (LVMWT) were higher than those of the healthy control group (P<0.05). (2) The radiomics features of hypertrophic regions and non-hypertrophic regions in HCM patients and the healthy control group had a good discrimination effect on the same anatomical part of left ventricular wall. The radiomics differential model between HCM non-hypertrophic region group (left ventricular anterior wall) and HCM hypertrophic region group (left ventricular anterior wall) was the optimal model in this study, and its AUC value, accuracy, sensitivity, specificity, PPV and NPV were 0.98, 93%, 94%, 92%, 89% and 96% in the training set. In the test set, the values were 0.97, 94%, 92%, 96%, 92%, 96%.Conclusions The results show that the radiomics model not only has good efficacy in the identification of hypertrophic and non-hypertrophic regions of the myocardium in HCM and healthy people, but also can well distinguish hypertrophic and non-hypertrophic regions of the myocardium in HCM, indicating that the radiomics method can provide a potential and sensitive new technology for the evaluation of myocardial histological changes through in-depth and comprehensive quantitative analysis of myocardial tissue in HCM patients with different pathological states. It provides a kind of potential and sensitive new technique for evaluation of myocardial histological changes. It is helpful to evaluate the condition of HCM patients more accurately, improve the efficiency of CMR examination and reduce the cost of examination, and provide a new idea for the development and clinical application of artificial intelligence technology to detect myocardial histological status easily and quickly in the future.
[Keywords] hypertrophic cardiomyopathy；cardiac magnetic resonance；radiomics；magnetic resonance imaging；cine sequence；supportvector machine

LÜ Jing1   ZHU Yongqi2   ZHU Yanfang3   HE Ying1   WANG Yilin4   WANG Pei4   ZHU Li4   LIU Yun4*  

1 School of Clinical Medicine, Ningxia Medical University, Yinchuan 750004, China

2 Medical Imaging Center, Ningxia People's Hospital, Yinchuan 750002, China

3 Health Services Section, Yinchuan Maternal and Child Health Care Hospital, Yinchuan 750299, China

4 Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750003, China

Corresponding author: LIU Y, E-mail: yunliusky@163.com

Conflicts of interest   None.

Received  2023-09-26
Accepted  2023-12-29
DOI: 10.12015/issn.1674-8034.2024.02.005
Cite this article as: LÜ J, ZHU Y Q, ZHU Y F, et al. Study of the value of radiomics based on cardiac magnetic resonance in hypertrophic cardiomyopathy[J]. Chin J Magn Reson Imaging, 2024, 15(2): 30-41. DOI:10.12015/issn.1674-8034.2024.02.005.

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