人工智能软件作为乳腺癌查中的第三个读者 - - 一项前性诊断观察性研究
Thomas Lehnen1, Doris Polenske1, Barbara Daria Wichtmann2,3
1MVZ KERN Radiologie Lehnen/Polenske, Gelsenkirchen-Buer, Germany.
人工智能 (AI) 作为乳房扫描查中的第三个读者,癌症检测率增加了9.5%,主要是识别Luminal-A类癌症. 然而,这种整合也增加了召回病例的数量,并减少了积极的预测值.
科学领域:
- 放射学和医学成像学 医学成像学
- 医疗保健中的人工智能
- 在瘤学瘤学.
背景情况:
- 乳房扫描查对于早期发现乳腺癌至关重要.
- 尽管取得了进展,但一些癌症仍未被发现,需要改进查方法.
- 人工智能 (AI) 正在探索,以提高乳房扫描的诊断准确性.
研究的目的:
- 评估人工智能软件 (Transpara) 作为乳房影像查中的独立第三读者的有效性.
- 确定人工智能集成是否可以减少错过的癌症诊断.
- 评估人工智能对癌症检测率和积极预测值的影响.
主要方法:
- 一项前性研究招募了15356名女性参加德国乳房镜查.
- 乳房影像经历了双重阅读和独立分析的TransparaAI软件.
- 共识会议审查了读者或AI标记的病例;终点包括癌症检测率 (CDR) 和积极预测值 (PPV).
主要成果:
- 与双重阅读相比,人工智能作为第三个读者增加了9.5%的癌症检测率.
- 人工智能主要检测到类似Luminal-A的癌症;只有人工智能检测到9种侵入性癌症.
- 随着人工智能集成,共识推病例的积极预测值下降,召回病例的数量增加.
结论:
- 整合人工智能作为第三个阅读器可以改善乳房扫描癌症的检测,特别是在Luminal-A类癌症中.
- 人工智能提供了互补的灵敏度,但可能会错过像三阴性乳腺癌这样的攻击性亚型.
- 人类读者仍然是必不可少的,人工智能集成需要仔细考虑增加的工作量和回忆率.
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