基于人工智能的门控非对比 CT 全自动心腔容积测量。
AI-based, automated chamber volumetry from gated, non-contrast CT.
机构信息
Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA.
Houston Methodist Hospital, Houston, TX, USA.
出版信息
J Cardiovasc Comput Tomogr. 2023 Sep-Oct;17(5):336-340. doi: 10.1016/j.jcct.2023.08.001. Epub 2023 Aug 21.
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.
背景
门控、非对比心脏 CT（NCCT）扫描的准确心室容积测量对于心力衰竭的潜在筛查可能很有用。
目的
与对比 CT 血管造影（CCTA）相比，验证一种新的、完全自动化的基于人工智能的 NCCT 扫描心腔容积和心肌质量定量方法。
方法
在回顾性收集的 1051 例连续患者队列中，420 例患者在舒张中期同时进行 NCCT 和 CCTA 扫描，排除了有心脏设备的患者。从 CCTA 扫描中获得真实值。
结果
NCCT 容积计算与真实值具有良好的一致性。容积差异 [95% CI ]和相关系数分别为：LV Total 为-9.6 [-45; 26] mL，r = 0.98；LA 为-5.4 [-24; 13] mL，r = 0.95；RV 为-8.7 [-45; 28] mL，r = 0.94；RA 为-5.2 [-27; 17] mL，r = 0.92；LV 血池为-3.2 [-42; 36] mL，r = 0.91；LV 壁质量为-6.7 [-39; 26] g，r = 0.94。所有心腔的平均相对容积误差均小于 7%。
结论
NCCT 扫描的全自动评估心腔容积是可行的，与对比研究获得的容积具有良好的相关性。
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