DiGirolamo Gregory J, Sorcini Federico, Zaniewski Zachary, Kruskal Jonathan B, Rosen Max P
Department of Psychology, College of the Holy Cross, 1 College St, Worcester, MA 01610.
Department of Radiology, University of Massachusetts, Chan Medical School, Worcester, MA.
Radiology. 2025 Feb;314(2):e232996. doi: 10.1148/radiol.232996.
Background Diagnostic error rates for detecting small lung nodules on chest CT scans remain high at 50%, despite advances in imaging technology and radiologist training. These failure rates may stem from limitations in conscious recognition processes. However, successful visual processes may be detecting the nodule independent of the radiologist's report. Purpose To investigate visual processing in radiologists during the assessment of chest nodules to determine if radiologists have successful non-conscious processes that detect lung nodules on chest CT examinations even when not consciously recognized or considered, as evidenced by changes in how long they look (dwell time) and pupil size to missed nodules. Materials and Methods This prospective study, conducted from [8/14] to [09/23], compared 6 experienced radiologists with 6 medically naïve control participants. Participants viewed 18 chest CTs (9 abnormal with 16 nodules, 9 normal) to detect lung nodules. High-speed video eye-tracking measured gaze duration and pupil size (indicating physiological arousal) at missed nodule locations and same locations on normal CTs. The reference standard was the known presence or absence of nodules (as determined by a 4-radiologist consensus panel) in abnormal and normal CTs, respectively. Primary outcome measures were detection rates of nodules, dwell time and pupil size at nodule locations versus normal tissue. Paired t-tests were used for statistical analysis. Results Twelve participants (6 radiologists [9.3 average years of radiological experience]) 6 controls (with no radiological experience) were evaluated. Radiologists missed on average 59% of these lung nodules. For missed nodules, radiologists exhibited longer dwell times (Mean: 228 milliseconds vs 175 milliseconds, =.005) and larger pupil area (Mean: 1446 pixels vs. 1349 pixels, =.04.) than normal tissue. Control participants showed no differences in dwell time (Mean: 197 milliseconds vs 180 milliseconds, = .64) or pupil size (Mean: 1426 pixels vs. 1714 pixels, =.23) for missed nodules than normal tissue locations. Conclusion Radiologists non-conscious processes during visual assessment of a CT examination can detect lung nodules on chest CTs even when conscious recognition fails, as evidenced by increased dwell time and larger pupil size. This successful non-conscious detection is a result of general radiology training.
背景 尽管成像技术和放射科医生培训有所进步,但胸部CT扫描检测小肺结节的诊断错误率仍高达50%。这些失败率可能源于有意识识别过程的局限性。然而,成功的视觉过程可能在独立于放射科医生报告的情况下检测到结节。目的 调查放射科医生在评估胸部结节时的视觉处理情况,以确定放射科医生是否具有成功的非意识过程,即使在未被有意识识别或考虑的情况下,也能在胸部CT检查中检测到肺结节,这可通过他们对漏诊结节的注视时间(停留时间)和瞳孔大小的变化来证明。材料与方法 这项前瞻性研究于[8/14]至[09/23]进行,将6名经验丰富的放射科医生与6名医学外行对照参与者进行比较。参与者查看18份胸部CT(9份异常,有16个结节,9份正常)以检测肺结节。高速视频眼动追踪测量在漏诊结节位置以及正常CT上相同位置的注视持续时间和瞳孔大小(表明生理唤醒)。参考标准分别是异常和正常CT中已知的结节存在或不存在情况(由一个由四名放射科医生组成的共识小组确定)。主要观察指标是结节的检测率、结节位置与正常组织相比的停留时间和瞳孔大小。采用配对t检验进行统计分析。结果 对12名参与者(6名放射科医生[平均放射学经验9.3年])和6名对照者(无放射学经验)进行了评估。放射科医生平均漏诊了59%的这些肺结节。对于漏诊的结节,放射科医生的停留时间更长(平均值:228毫秒对175毫秒,P =.005),瞳孔面积更大(平均值:1446像素对1349像素,P =.04),与正常组织相比。对照参与者在漏诊结节与正常组织位置的停留时间(平均值:19