Progress in the application of deep learning in the auxiliary diagnosis and prognostic evaluation of left ventricular hypertrophy_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

XU Hongyang ¹ , QIU Peng ¹ ,  CAO Hui ¹ , ZHANG Junzhong ² , MA Zhiming ¹

1. School of Medical Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, 250355, P. R. China;
2. First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250355, P. R. China;

Corresponding?author：

CAO Hui, Email: caohui6363@163.com

Keywords：

Deep learning; left ventricular hypertrophy; echocardiography; cardiac magnetic resonance imaging; electrocardiogram; prognosis; review

DOI：

10.7507/1007-4848.202503067

Video：

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Abstract Full text Figures/Tables Video References Cited by

As an intermediate phenotype for multiple cardiovascular diseases, left ventricular hypertrophy (LVH) benefits from early diagnosis, which allows for timely intervention to prevent worsening of the condition, mitigate severe complications like heart failure and arrhythmias, and consequently improve patient outcomes. Preliminary advances have been made using deep learning for the early diagnosis and identification of etiology in LVH. This paper reviews the pathophysiology, causes, and diagnostic standards for LVH, discusses the strengths and weaknesses of applying deep learning to diagnostic tools such as echocardiography, cardiac magnetic resonance imaging, and electrocardiogram, examines its use in prognostic evaluation, and concludes by summarizing current achievements and suggesting future research avenues.

Citation： XU Hongyang, QIU Peng, CAO Hui, ZHANG Junzhong, MA Zhiming. Progress in the application of deep learning in the auxiliary diagnosis and prognostic evaluation of left ventricular hypertrophy. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2025, 32(10): 1495-1503. doi: 10.7507/1007-4848.202503067 Copy

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1. 董吁鋼, 楊杰孚. 左心室肥厚診斷和治療臨床路徑中國專家共識2023. 中國循環雜志, 2024, 39(1): 17-28.Dong YG, Yang JF. Chinese expert consensus on the clinical pathway of diagnosis and treatment of left ventricular hypertrophy 2023. Chin J Circ, 2024, 39(1): 17-28.
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3. 呂靜, 朱永琪, 朱彥芳, 等. CMR影像組學聯合臨床因素預測肥厚型心肌病并發室性心律失常的價值. 磁共振成像, 2024, 15(4): 63-71, 87.Lv J, Zhu YQ, Zhu YF, et al. Value of CMR imaging combined with clinical factors in predicting ventricular arrhythmia in patients with hypertrophic cardiomyopathy. Chin J Magn Reson Imaging, 2024, 15(4): 63-71, 87.
4. 湯春光, 王利宏. 高血壓患者24 h動態血壓晝夜節律與左心室肥厚和心肌缺血及心律失常的關系. 中華高血壓雜志, 2017, 25(10): 978-981.Tang CG, Wang LH. Relationship between circadian rhythm of 24 h ambulatory blood pressure and left ventricular hypertrophy, myocardial ischemia and arrhythmia in patients with hypertension. Chin J Hypertens, 2017, 25(10): 978-981.
5. 楊瑤瑤, 鄒玉寶. T1 mapping在肥厚型心肌病心肌纖維化評估中的應用進展. 中國分子心臟病學雜志, 2021, 21(4): 4135-4137.Yang YY, Zou YB. Advances in the application of T1 mapping in the evaluation of myocardial fibrosis in hypertrophic cardiomyopathy. Mol Cardiol China, 2021, 21(4): 4135-4137.
6. 馮雪芳, 鐘銀燕, 章琴鶯, 等. 心電圖Cornell乘積和Sokolow-Lyon電壓與代謝指標關系研究. 中國實用內科雜志, 2018, 38(1): 60-64.Feng XF, Zhong YY, Zhang QY, et al. Relationship between Cornell product and Sokolow-Lyon voltage of electrocardiogram and metabolic indexes. Chin J Pract Intern Med, 2018, 38(1): 60-64.
7. Cirillo C, Matarrese MAG, Monda E, et al. Artificial intelligence for left ventricular hypertrophy detection and differentiation on echocardiography, cardiac magnetic resonance and cardiac computed tomography: a systematic review. Int J Cardiol, 2025, 422: 132979.
8. 張艷, 吳昆華, 范潔, 等. 心臟磁共振成像在左心室肥厚性疾病中的應用. 昆明理工大學學報 (自然科學版), 2020, 45(1): 59-64.Zhang Y, Wu KH, Fan J, et al. Application of cardiac magnetic resonance imaging in left ventricular hypertrophic disease. J Kunming University Sci Technol (Nat Sci), 2020, 45(1): 59-64.
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10. 馬志明, 徐洪洋, 邱鵬, 等. 深度學習在心臟瓣膜病輔助診斷中的研究進展. 中國胸心血管外科臨床雜志, 2025. Epub ahead of print.Ma ZM, Xu HY, Qiu P, et al. Research progress of deep learning in auxiliary diagnosis of valvular heart disease. Chin J Clin Thorac Cardiovasc Surg, 2025. Epub ahead of print.
11. 王永威, 魏德健, 曹慧, 等. 深度學習在心力衰竭檢測中的應用綜述. 計算機科學與探索, 2025, 19(1): 65-78.Wang YW, Wei DJ, Cao H, et al. A review of deep learning applications in heart failure detection. J Frontiers Comput Sci Technol, 2025, 19(1): 65-78.
12. 伍倩, 郭輝. 基于深度學習的磁共振成像在冠心病診療中的應用進展. 磁共振成像, 2024, 15(11): 190-197.Wu Q, Guo H. Advances in the application of deep learning-based magnetic resonance imaging in coronary heart disease diagnosis and treatment. Chin J Magn Reson Imaging, 2024, 15(11): 190-197.
13. Kasa G, Teis A, Juncà G, et al. Clinical and prognostic implications of left ventricular dilatation in heart failure. Eur Heart J Cardiovasc Imaging, 2024, 25(6): 849-856.
14. 袁典, 杜昱崢, 魏德健, 等. 卷積神經網絡基于MRI在半月板損傷診斷中的研究進展. 磁共振成像, 2024, 15(3): 223-229.Yuan D, Du YZ, Wei DJ, et al. Research progress of convolutional neural network based on MRI in meniscal injury diagnosis. Chin J Magn Reson Imaging, 2024, 15(3): 223-229.
15. 李國威, 劉靜, 曹慧, 等. 深度學習在結腸息肉圖像分割中的研究綜述. 計算機科學與探索, 2025, 19(5): 1198-1216.Li GW, Liu J, Cao H, et al. Review of Deep learning in image segmentation of colon polyps. J Frontiers Comput Sci Technol, 2025, 19(5): 1198-1216.
16. 古力米熱·阿吾旦, 葉俊翔, 瑪依拉·阿不都克力木, 等. 基于深度學習的肺結節CT圖像分割與分類研究綜述. 計算機工程與應用, 2025, 61(15): 14-35.Gulimire AWD, Ye JX, Mayila ABDKLM, et al. A review of deep learning-based CT image segmentation and classification of pulmonary nodules. Comput Eng Applications, 2025, 61(15): 14-35.
17. 許詩怡, 陳明惠, 邵怡, 等. 結合深度學習的糖尿病視網膜病變血管分割和重建. 中國醫學物理學雜志, 2024, 41(10): 1256-1264.Xu SY, Chen MH, Shao Y, et al. Blood vessel segmentation and reconstruction in diabetic retinopathy combined with deep learning. Chin J Med Phys, 2024, 41(10): 1256-1264.
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20. Hwang IC, Choi D, Choi YJ, et al. Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model. Sci Rep, 2022, 12(1): 20998.
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Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Progress in the application of deep learning in the auxiliary diagnosis and prognostic evaluation of left ventricular hypertrophy

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