Eye tracking as a tool to quantify the effects of CAD display on radiologists’ interpretation of chest radiographs
Daisuke Matsumoto, Tomohiro Kikuchi, Yusuke Takagi, Soichiro Kojima, Ryoma Kobayashi, Daiju Ueda, Kohei Yamamoto, Sho Kawabe, Harushi Mori

TL;DR
This study used eye tracking to show how CAD displays affect radiologists' interpretation of chest X-rays.
Contribution
The study introduces eye tracking as a novel method to quantify CAD's impact on radiologists' visual search behavior.
Findings
Concurrent CAD display increased interpretation time by 4.9 seconds.
Lesion dwell time and lung-field coverage also increased with CAD display.
Time to first fixation decreased when CAD highlights were visible.
Abstract
Computer-aided detection (CAD) systems for chest radiographs are widely used; however, concurrent reader displays such as bounding-box (BB) highlights may influence interpretation. This pilot study used eye tracking to examine which aspects of visual search were affected by these factors. We sampled 180 chest radiographs from the VinDR-CXR dataset: 120 with solitary pulmonary nodules or masses and 60 without. BBs were configured for 80 % display sensitivity and specificity. Three radiologists (with 11, 5, and 1 years of experience) interpreted each case twice—once with BBs visible and once without—after a ≥ 2-week washout. Eye movements were recorded using an EyeTech VT3 Mini. Metrics included interpretation time, time to first fixation, lesion dwell time, total gaze-path length, and lung-field coverage. Outcomes were modeled using a linear mixed model with the reading condition set as…
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Taxonomy
TopicsRadiology practices and education · Digital Radiography and Breast Imaging · Gaze Tracking and Assistive Technology
