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基于周冠状动脉脂肪组织组织图谱参数的诺米图的开发,以差异诊断急性冠状动脉综合征

Mengyuan Jing¹, Huaze Xi¹, Meng Zhang²

¹Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.

Clinical imaging

|August 28, 2023

概括

使用周冠状腺脂肪组织 (PCAT) 组图特征的新型名图可以准确地区分急性冠状动脉综合征 (ACS) 和稳定的冠状动脉疾病 (CAD). 这种非侵入性工具有助于个体患者的风险分层.

科学领域:

心脏病学心脏病学
放射学放射学是一门学科.
医疗成像医学成像

背景情况:

急性冠状动脉综合征 (ACS) 和稳定的冠状动脉疾病 (CAD) 是关键的心血管疾病.
准确区分ACS和稳定的CAD对于及时和适当的治疗至关重要.
冠周脂肪组织 (PCAT) 越来越多地被认为是心血管炎症和风险的标志物.

研究的目的:

开发和验证用于识别患有ACS.患者的预测模型.
利用周冠状腺脂肪组织 (PCAT) 的组图参数来区分ACS和稳定的CAD.
为直观和个人评估ACS风险构建一个名图.

主要方法:

114名ACS和383名稳定的CAD患者的回顾性招募到培训和测试队伍中.
从右冠状动脉近端段中自动提取PCAT直方图参数.
基于显著的PCAT参数 (P <0.05) 的二进制物流回归模型和名图的开发.

主要成果:

在PCAT图谱参数 (平均值,中位数,最小值,斜率,差异) 中,在两个队列中,在ACS和稳定的CAD组之间观察到显著的差异 (P ≤ 0.001).
确定PCAT平均值,中位数,最小值,斜率和方差值作为ACS的独立风险因素.
开发的名图表显示了高精度,曲线下面积 (AUC) 值为0.903 (训练) 和0.897 (测试),校准和临床实用性良好.

结论:

基于PCAT基因组图的基因组图是区分ACS和稳定的CAD的可靠和准确工具.
这种非侵入性名图为怀疑冠状动脉疾病的患者的个体风险评估提供了有价值的方法.
这些发现表明PCAT分析可以作为心血管诊断中的可访问的成像生物标志物.

关键词:

急性冠状动脉综合征是什么这个名字叫做Nomogram.冠状周周脂肪组织组织.稳定的冠状动脉疾病.

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