通过根据促进视觉适应的特征订购查乳房图来提高放射科医生的阅读性能
Jessie J J Gommers1, Sarah D Verboom1, Katya M Duvivier1
1From the Departments of Medical Imaging (J.J.J.G., S.D.V., I.S.) and IQ Health (M.J.M.B.), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands (K.M.D.); Department of Radiology and Nuclear Medicine, Haga Teaching Hospital, Den Haag, the Netherlands (J.K.v.R.); Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.F.v.R.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands (J.B.H.); Department of Radiology, Diakonessenhuis, Utrecht, the Netherlands (D.B.N.); Department of Radiology, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands (L.E.M.D.); Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, Calif (C.K.A.); Department of Psychology, University of Nevada, Reno, Nev (M.A.W.); Dutch Expert Centre for Screening, Nijmegen, the Netherlands (M.J.M.B., I.S.); and Technical Medicine Center, University of Twente, Enschede, the Netherlands (I.S.).
通过增加体积乳腺密度 (VBD) 订购乳房影像,可以提高放射科医生的查性能,并减少阅读时间. 这种方法增强了异常的检测,与自我监督学习 (SSL) 的分组不同.
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
- 人类的视觉感知 人类的视觉感知
背景情况:
- 乳腺造影背景特征可能会影响放射科医生的视觉适应,从而有可能改善异常检测.
- 驱动这种视觉适应的特定特征,例如乳腺密度,仍然不清楚.
研究的目的:
- 根据可能促进视觉适应的特征进行分批检查,以确定查性乳房镜检查的性能是否会提高.
- 调查按体积乳腺密度 (VBD) 和自主监督学习 (SSL) 分组订购乳房扫描对放射科医生的表现的影响.
主要方法:
- 从2016年至2019年使用乳房图的回顾性多读者多病例研究.
- 13名放射科医生随机解释了检查,增加了VBD和SSL订购的批量.
- 眼睛跟踪记录了放射科医生的眼睛运动;性能指标 (AUC,灵敏度,特异性) 和阅读时间被分析.
主要成果:
- 与随机顺序 (0.93对0.92) 相比,增加的VBD顺序显著改善了接收器操作特征曲线 (AUC) 下的面积.
- 缩短了VBD的阅读时间 (24.3 vs 27.9秒) 和恶性区域的固定时间 (3.7 vs 4.6秒).
- 自主监督学习 (SSL) 排序与随机排序相比,AUC,灵敏度或特异性没有显著改善.
结论:
- 通过增加体积乳腺密度 (VBD) 订购查性乳房扫描检查,可以提高放射科医生的查性能.
- 这种基于VBD的订单策略还减少了阅读时间和视觉固定持续时间,表明提高了效率和有效性.
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