[1] Al-Muhaidb SM, Aljebreen AMM, AlZamel ZA, et al. Prevalence of noncalcified plaques and coronary artery stenosis in patients with coronary calcium scores of zero[J]. Coronary artery disease,2021,32(3):179-183.
[2] 邓晓丽,钟灵,冯丽.血压变异性与冠心病患者冠状动脉非钙化斑块负荷的相关性研究[J].中国医学前沿杂志(电子版),2021,13(1):85-88.
[3] 刘晓滢,江杰,李俊,等.基于脂肪衰减指数对非钙化斑块导致的冠状动脉有意义狭窄的相关性研究[J]. 实用放射学杂志,2023,39(2):214-217.
[4] 刘晓滢,江杰,李俊,等.基于CT冠状动脉周围脂肪测量对冠状动脉非钙化斑块风险分层的价值初探[J]. 放射学实践,2023,38(7):879-883.
[5] Zhou Y, Yuan J, Fan Y, et al.Proteomic landscape of human coronary artery atherosclerosis[J]. International journal of molecular medicine,2020,46(1):371-383.
[6] Antoniades C, Kotanidis CP, Berman DS.State-of-the-art review article. Atherosclerosis affecting fat: What can we learn by imaging perivascular adipose tissue?[J].Journal of Cardiovascular Computed Tomography, 2019,13(5):288-296.
[7] 唐异蓓,张卡雄,赵磊,等.基于CCTA冠状动脉周围脂肪衰减指数应用于高危可疑冠心病评估的可行性研究[J].医学研究杂志, 2022, 51(2):47-51.
[8] Goni M O F, Matin A, Hasan T,et al. Performance Analysis of Classifier for Chronic Kidney Disease Prediction Using SVM, DNN and KNN[J].Lecture Notes on Data Engineering and Communications Technologies, 2021:978-981.
[9] 谭静仪,蔡灿,林爱华,等. 基于KNN算法的冠心病分类预测[J]. 现代养生(下半月版),2022,22(6):1026-1028.
[10] 杨晨,史小琼,郭红红,等.基于CT影像组学在冠状动脉周围脂肪中的研究[J].放射学实践, 2023, 38(6):774-777. |
