人工智能辅助的体积同otropic同时交叠的明亮和黑血检查大脑转移
Kazufumi Kikuchi1, Osamu Togao2, Yoshitomo Kikuchi3
1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. kikuchi.kazufumi.953@m.kyushu-u.ac.jp.
Neuroradiology
|August 22, 2024
概括
人工智能辅助的体积同otropic同时交错的明亮/黑血检查 (AI-VISIBLE) 显著改善了大脑转移的检测. 这种人工智能工具提高了灵敏度和诊断性能,而不增加假阳性.
科学领域:
- 医疗成像医学成像
- 放射学中的人工智能
- 在瘤学瘤学.
背景情况:
- 检测大脑转移对于患者管理至关重要.
- 目前的成像技术在灵敏度和特异性方面存在局限性.
- 医疗成像中的AI集成为改善诊断准确性提供了潜力.
研究的目的:
- 评估AI-VISIBLE在检测大脑转移中的有效性.
- 为了比较具有和没有人工智能辅助的诊断性能.
主要方法:
- 追溯性研究涉及40名患者 (20名有脑转移,20名没有脑转移).
- 七名观察员 (住院医生和神经放射学家) 进行了两次阅读:一次与VISIBLE,一次与AI-VISIBLE.
- 分析了灵敏度,诊断性能 (优点图 - FOM) 和错误阳性.
主要成果:
- 与单独使用VISIBLE相比,AI-VISIBLE显著改善了灵敏度 (94.9%与88.3%) 和FOM (0.983与0.972).
- 没有观察到每例假阳性病例的显著差异.
- 放射科住院医生的人工智能辅助性能与神经放射学家相美.
结论:
- 人工智能可见增强了对大脑转移检测的敏感性和诊断性能.
- 人工智能集成可以提高神经放射学中的诊断能力.
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