人工智能模型的不同版本的性能,用于屏幕阅读乳房影像
Marthe Larsen1, Christoph I Lee2, Marie B Bergan1
1Department of Breast Cancer Screening, The Cancer Registry, Norwegian Institute of Public Health, Oslo, Norway.
European radiology
|January 13, 2026
概括
新版本的人工智能 (AI) 软件改善了查检测到的乳腺癌的检测,更频繁地分配最高恶性瘤风险得分. 然而,这两种AI版本在间隔癌症中表现相似.
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:
- 人工智能 (AI) 在提高乳房扫描精度方面表现有前途.
- 有限的研究比较更新与旧版本的人工智能模型用于乳房造影.
研究的目的:
- 评估和比较商业人工智能模型的两个版本 (1.7和2.1) 在评估乳房影像恶性瘤风险方面的表现.
- 分析AI恶性瘤风险得分与查检测和间隔乳腺癌相关.
主要方法:
- 挪威BreastScreen (2009-2018) 对117,709张查性乳房造影的回顾性分析.
- 使用Transpara AI版本1.7和2.1处理乳房图.
- 对737种查检测到的癌症和200种间隔癌症,评估了考试级风险得分 (1-10) 和类别 (低风险,中等风险,高风险).
主要成果:
- 新的AI版本 (2.1) 显示了更好的性能,接收器操作曲线下面面积更大 (0.928对比0.908,p < 0.001).
- 版本2.1为93.5%的查检测到的癌症分配了最高的恶性瘤风险评分 (10),而1.7.1版本的这一比例为87.1%.
- 两种AI版本在间隔癌症方面表现相似,大约有45%获得最高分数.
结论:
- 更新后的AI模型在识别屏幕检测到的乳腺癌方面表现出更强大的能力.
- 人工智能模型版本更新对于维护和改进乳房学查质量保证至关重要.
- 进一步验证是必要的,以了解AI版本更新的临床影响.
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