基于深度学习的冠状动脉分数可以预测2型糖尿病中冠状动脉疾病的发生
Jingcheng Hu1, Guangyu Hao2, Jialiang Xu3
1Department of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Heliyon
|March 18, 2024
概括
基于深度学习的冠状动脉评分 (DL-CACS) 准确预测2型糖尿病患者的阻塞性和血液动力学显著的冠状动脉疾病 (CAD). 这种自动化方法比手动测量更快,提高了CAD评估的效率.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 在2型糖尿病 (T2DM) 患者的冠状动脉疾病 (CAD) 中,患者通常呈现出分散的,化的病变.
- 对这些患者来说,手动测量冠状动脉分数 (CACS) 是耗时的.
研究的目的:
- 评估基于深度学习 (DL) 的CACS对阻塞性CAD的预测能力.
- 评估DL-CACS用于预测T2DM患者血液动力学显著的CAD.
主要方法:
- 一组469名T2DM患者接受了CACS扫描和冠状动脉CT血管造影.
- 阻塞性CAD被定义为≥50%的直径狭窄;血液动力学上显著的CAD作为CT衍生的分数流量储备≤0.8.8.
- 一个完全自动化的DL算法计算了CACS;后勤回归和ROC分析确定了预测性能.
主要成果:
- 在T2DM患者中,DL-CACS是阻塞性CAD (OR: 1.005) 和血液动力学显著CAD (OR: 1.003) 的显著独立预测因子.
- 对于DL-CACS,接收器操作特征曲线 (AUC) 下的面积为阻塞性CAD的0.753和血液动力学显著的CAD的0.769.
- 自动DL-CACS测量 (1.17分) 比手动测量 (1.73分) 快得多.
结论:
- 基于深度学习的CACS (DL-CACS) 提供了一种准确有效的方法,用于预测T2DM中阻塞性和血液动力学显著的CAD.
- 与手动方法相比,自动化DL方法显著减少了测量时间.
- DL-CACS显示了改善T2DM患者CAD评估的强大潜力.
相关概念视频
Imaging Studies for Cardiovascular System III: X-Ray
180
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
180
Carbohydrate Metabolism
11.1K
Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...
11.1K


