评估尿细胞学幻灯片数字化效率:使用基于人工智能的启发式扫描模拟和多个Z平面扫描的比较研究
Jen-Fan Hang1,2, Yen-Chuan Ou3, Wei-Lei Yang4
1Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Acta cytologica
|April 22, 2024
概括
使用人工智能的新启发式扫描方法显著减少了数字细胞学幻灯片的扫描时间和文件大小. 这种方法保持了高的细胞覆盖率,提高了诊断尿癌的准确性.
科学领域:
- 数字病理学数字病理学
- 细胞病理学 细胞病理学
- 医学中的人工智能.
背景情况:
- 由于细胞分布和深度,数字化3D细胞学幻灯片具有挑战性.
- 多Z平面扫描是一种解决方案,但会导致长时间的扫描,大文件和复杂的审查.
- 现有的方法阻碍了数字细胞病理学的临床采用.
研究的目的:
- 引入和评估启发式扫描方法作为人工智能驱动的替代多Z平面扫描用于细胞学幻灯片.
- 将启发式扫描的效率和准确性与传统扫描技术进行比较.
- 评估启发式扫描对尿路癌细胞的解释的影响.
主要方法:
- 开发了一种基于人工智能的启发式扫描模拟,用于细胞学幻灯片扫描.
- 启发式扫描与21个Z平面扫描对52个尿细胞学幻灯片进行了比较.
- 分析了细胞覆盖范围,扫描时间,文件大小和人工智能辅助解释准确度.
主要成果:
- 启发式扫描实现了与5次Z平面扫描 (0.78-0.91与0.75-0.88) 相比的SHGUC+细胞覆盖率.
- 显著减少了扫描时间 (137.2-635.0s与332.6-1,278.8s) 和文件大小 (0.51-2.10GB与1.16-3.10GB).
- 与单个Z平面扫描相比,人工智能辅助解释的准确性更高 (62.5%与37.5%).
结论:
- 启发式扫描是数字细胞病理学中多Z平面扫描的经济有效的替代方案.
- 它提供了可比的细胞捕获效率,减少了时间和文件大小.
- 该方法有望提高数字尿细胞学解释的准确性.
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