基于深度学习的算法用于对比增强CT的偶发性肺栓塞的自动检测:一个多中心多供应商研究
Hana Farzaneh1, Jacqueline Junn2, Yasmina Chaibi3
1Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, United States.
Radiology advances
|October 8, 2025
概括
一个人工智能工具在CT扫描上准确地检测到偶发性肺栓塞 (iPE),准确率为90%. 这种人工智能解决方案提供了快速的结果,有可能提高临床实践中的检测速度和准确性.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 偶发性肺栓塞 (iPE) 越来越多地被检测到在对比增强计算机断层扫描 (CECT) 扫描中,用于其他指示.
- 人工智能有可能提高iPE的检测准确性和及时性.
- 由于诊断成像研究的首要重点,可能会出现IPE报告不足的情况.
研究的目的:
- 评估用于检测iPE的独立AI解决方案的诊断性能和选效率.
- 评估AI在最初未用于PE评估的CECT考试中识别iPE的能力.
主要方法:
- 基于深度学习的软件 (CINA-iPE) 用于分析疑似iPE的CET图像.
- 从5个临床中心收集了回顾性CECT,形成了一个平衡的数据集.
- 一个参考标准是由三个美国董事会认证的放射科医生建立的.
主要成果:
- 人工智能实现了87.8%的灵敏度和92.0%的IPE检测特异性,整体准确率为90.0%.
- 该系统在1.5分钟内处理了结果,从而实现了快速通知.
- 放射科医生之间的分歧发生在50%的假阳性病例和45.5%的错过的PE病例中,通常涉及复杂的发现.
结论:
- 在非PE CECT研究中,CINA-iPE应用程序在识别偶然PE时表现出很高的准确性.
- 人工智能处理结果的快速可用性可以帮助优先解释,并可能增强iPE检测.
- 人工智能工具有望提高偶然肺栓塞检测的准确性和速度.
更多相关视频
08:05Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
14.7K
07:53Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
Published on: October 13, 2023
2.0K
相关概念视频
01:29Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care
320
Diagnosing Pulmonary EmbolismDiagnosing pulmonary embolism (PE) involves clinical assessment and advanced imaging tests. The preferred diagnostic tool is the spiral (helical) CT scan or CT angiography (CTA), which uses intravenous contrast media to visualize the pulmonary vasculature and identify emboli.A ventilation-perfusion (V/Q) scan is an alternative for patients unable to receive contrast media. This scan includes both perfusion and ventilation scanning. Perfusion scanning involves...
320
01:28Imaging Studies for Cardiovascular System V: CT
280
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
280