Department of Cardiology (H.X., D.Z., L.F., Min Zhang, F.X., Mingduo Zhang, Y.Z., X.S.), Beijing Anzhen Hospital, Capital Medical University, China.
Beijing Institute of Heart Lung and Blood Vessel Disease, China (H.X., D.Z., L.F., Min Zhang, F.X., Mingduo Zhang, Y.Z., H.Z., X.S.).
Circ Cardiovasc Imaging. 2024 Aug;17(8):e016117. doi: 10.1161/CIRCIMAGING.123.016117. Epub 2024 Aug 20.
Coronary computed tomography angiography provides valuable information for evaluating the difficulty of chronic total occlusion (CTO) percutaneous coronary intervention. This study aimed to investigate the value of CTO plaque characteristics derived from radiomics analysis for predicting the difficulty of percutaneous coronary intervention.
Patients with CTO were retrospectively enrolled from a hospital as training and internal test sets and from the other 2 territory hospitals as external test sets. Radiomics characteristics were extracted from the CTO segment on coronary computed tomography angiography. Radiomics and combined models were developed to predict successful guidewire crossing within 30 minutes (guidewire success) of CTO percutaneous coronary intervention. Subgroup analysis was conducted to investigate the influence of potential risk factors on the radiomics model performance.
A total of 551 patients (median, 60; interquartile range, 52.00-66.00 years, 460 men) with 565 CTO lesions were finally enrolled. In the training, internal test, and external test sets, 203 of 357, 85 of 149, and 38 of 59 CTO lesions achieved guidewire success, respectively. Six radiomics features were selected for constructing the radiomics model. In the external test set, the area under the receiver operating characteristic curve of the radiomics model was significantly higher than prior prediction models (<0.05 for all) with the area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity of 0.86, 74.58%, 81.58%, and 61.90%, respectively. The performance of the radiomics model was dependent on calcification, CTO location, adjacent branch(es), and operator caseload.
CTO characteristics revealed by radiomics analysis can be used as effective imaging biomarkers for predicting guidewire success. However, the performance of the radiomics model depends on anatomic and operator factors.
冠状动脉计算机断层血管造影术(CCTA)可为评估慢性完全闭塞(CTO)经皮冠状动脉介入治疗(PCI)的难度提供有价值的信息。本研究旨在探讨基于放射组学分析的 CTO 斑块特征在预测 PCI 难度方面的价值。
从一家医院的 CTO 患者中回顾性招募研究对象作为训练和内部测试集,并从另外 2 家地区医院招募患者作为外部测试集。从 CCTA 上的 CTO 节段提取放射组学特征。构建放射组学和联合模型,以预测 CTO-PCI 中导丝在 30 分钟内成功通过(导丝成功)的情况。进行亚组分析,以探讨潜在危险因素对放射组学模型性能的影响。
共纳入 551 例(中位数 60 岁;四分位距 52.00-66.00 岁,460 例男性)共 565 处 CTO 病变。在训练、内部测试和外部测试集中,203/357、85/149 和 38/59 处 CTO 病变导丝成功,分别为。构建放射组学模型时选择了 6 个放射组学特征。在外部测试集中,放射组学模型的受试者工作特征曲线下面积显著高于之前的预测模型(所有 P<0.05),其曲线下面积、准确性、敏感性和特异性分别为 0.86、74.58%、81.58%和 61.90%。放射组学模型的性能取决于钙化、CTO 位置、毗邻分支和术者手术量。
放射组学分析揭示的 CTO 特征可作为预测导丝成功的有效影像学生物标志物。然而,放射组学模型的性能取决于解剖和术者因素。