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在门静脉相对比增强CT上检测中度肝硬化:使用自动化人工智能工具进行评估

Perry J Pickhardt¹, Glen M Blake², Yotam Kimmel³

¹Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.

AJR. American journal of roentgenology

|July 19, 2023

概括

使用人工智能 (AI) 的后对比CT可以通过测量肝脏衰减来检测中度肝硬化. 这种人工智能驱动的方法比比较肝脏和脏衰减更有效,可能有助于早期检测非酒精性脂肪肝疾病.

科学领域:

放射学放射学是一门学科.
人工智能的人工智能
肝病学肝病学是一种肝病学.

背景情况:

预对照CT是评估肝硬化症的标准.
从历史上看,对比后CT对肥胖症的评估是有限的.
人工智能为分析CT数据提供了新的潜力.

研究的目的:

评估门静脉阶段对比后CT的诊断性能,以检测中度肝硬化.
使用自动化AI进行肝脏和脏衰减测量.
将AI衍生的测量与预对照CT参考标准进行比较.

主要方法:

对2777名患有门静脉阶段CT图像的患者进行了回顾性研究.
自动深度学习工具提取了肝脏和脏衰减.
参考标准:对照前肝脏衰减<40HU (估计肝脏脂肪>15%).

主要成果:

测试后的肝衰减显示出更高的诊断性能 (AUC=0.938) 比肝差异 (AUC=0.832).
在<80 HU时,对比后肝衰减达到77.8%的灵敏度和93.2%的特异性.
对于评估中度肥胖症,脏衰减并不是必要的.

结论:

通过AI评估的对比后肝衰减,在检测中度肝硬化时优于肝差异.
以人工智能驱动的对比后CT分析可以可靠地评估肝硬化症.
这种技术可能有助于早期检测非酒精性脂肪肝疾病.

关键词:

人工智能的人工智能是人工智能.脂肪肝是一种脂肪肝.肝脏肥胖症肝脏肥胖症

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