High volume chest radiography to facilitate pulmonary nodule identification on chest radiographs

Theresa X. Pham; Grace G. Zhu; Soham Banerjee; William F. Auffermann

doi:10.1117/12.2611285

4 April 2022 High volume chest radiography to facilitate pulmonary nodule identification on chest radiographs

Theresa X. Pham, Grace G. Zhu, Soham Banerjee, William F. Auffermann

Proceedings Volume 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment; 120351E (2022) https://doi.org/10.1117/12.2611285
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

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Abstract

Identification of abnormalities in radiology is predicated on one’s gestalt understanding of normal imaging findings. This study assesses whether perceptual training using high-volume chest radiography (HVCXR) can help develop an understanding of the normal appearance of a chest radiograph (CXR) and improve one’s ability to identify pulmonary nodules on CXR. Eight radiology residents were split into two groups where the experimental group received high volume chest radiography training, where they viewed 500 CXRs at the rate of 1 CXR every 3 seconds, while the control group did not. Both groups were then tasked to identify pulmonary nodules on a set of chest radiographs. Afterwards, the two groups switched interventions and worked on localizing pulmonary nodules on a third case set of chest radiographs. Performance at nodule identification was worse in the experimental and control groups after they had received HVCXR training, which was unexpected. We hypothesize that this decrease in performance was due to fatigue from the HVCXR intervention.

Citation Download Citation

Theresa X. Pham, Grace G. Zhu, Soham Banerjee, and William F. Auffermann "High volume chest radiography to facilitate pulmonary nodule identification on chest radiographs", Proc. SPIE 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, 120351E (4 April 2022); https://doi.org/10.1117/12.2611285

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