基于AI的门控非增强CT心腔容积自动测量
AI-based, automated chamber volumetry from gated, non-contrast CT
AI总结：
本研究提出一种基于AI的门控非增强CT心腔容积与心肌质量全自动测量方法，经420例患者数据验证，结果与增强CT血管造影真值一致性好，可用于心衰筛查。
摘要：
研究背景：通过门控非增强心脏CT（NCCT）扫描获得准确的心腔容积测量结果，对心力衰竭的潜在筛查具有实用价值。研究目的：验证一种全新的、基于AI的全自动方法，该方法可通过NCCT扫描量化心脏容积与心肌质量，并将其与增强CT血管造影（CCTA）的结果进行对比。研究方法：本研究回顾性收集了1051例连续患者的队列，排除携带心脏装置的患者后，共有420例患者同时拥有舒张中期的NCCT和CCTA扫描数据，以CCTA扫描的测量结果作为真值。研究结果：NCCT的容积计算结果与真值一致性良好。各指标的容积差异[95%置信区间]及相关系数分别为：左心室总容积-9.6[-45;26]mL，r=0.98；左心房容积-5.4[-24;13]mL，r=0.95；右心室容积-8.7[-45;28]mL，r=0.94；右心房容积-5.2[-27;17]mL，r=0.92；左心室血池容积-3.2[-42;36]mL，r=0.91；左心室壁质量-6.7[-39;26]g，r=0.94。所有心腔的平均相对容积误差均低于7%。研究结论：通过NCCT扫描全自动评估心腔容积是可行的，且与增强检查获得的容积结果相关性良好。
英文摘要：
Background: Accurate chamber volumetry from gated, non-contrast cardiac CT (NCCT) scans can be useful for potential screening of heart failure. Objectives: To validate a new, fully automated, AI-based method for cardiac volume and myocardial mass quantification from NCCT scans compared to contrasted CT Angiography (CCTA). Methods: Of a retrospectively collected cohort of 1051 consecutive patients, 420 patients had both NCCT and CCTA scans at mid-diastolic phase, excluding patients with cardiac devices. Ground truth values were obtained from the CCTA scans. Results: The NCCT volume computation shows good agreement with ground truth values. Volume differences [95% CI ] and correlation coefficients were: -9.6 [-45; 26] mL, r = 0.98 for LV Total, -5.4 [-24; 13] mL, r = 0.95 for LA, -8.7 [-45; 28] mL, r = 0.94 for RV, -5.2 [-27; 17] mL, r = 0.92 for RA, -3.2 [-42; 36] mL, r = 0.91 for LV blood pool, and -6.7 [-39; 26] g, r = 0.94 for LV wall mass, respectively. Mean relative volume errors of less than 7% were obtained for all chambers. Conclusions: Fully automated assessment of chamber volumes from NCCT scans is feasible and correlates well with volumes obtained from contrast study.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
