Comparison of radiologists’ interpretation efficiency with radiographs: standard 6 MP versus 12 MP high-resolution display monitors

Mostafa Abozeed; Tom Kimpe; Seth Lirette; Srini Tridandapani

doi:10.1117/12.2652954

3 April 2023 Comparison of radiologists’ interpretation efficiency with radiographs: standard 6 MP versus 12 MP high-resolution display monitors

Mostafa Abozeed, Tom Kimpe, Seth Lirette, Srini Tridandapani

Author Affiliations +

Proceedings Volume 12467, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment; 124670Z (2023) https://doi.org/10.1117/12.2652954
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

The purpose of this study is to compare interpretation efficiency of radiologists reading radiographs on 6 megapixel (MP) vs 12 MP monitors. Our method compares two sets of monitors in two phases: in phase I, radiologists interpreted using a 6MP, 30.4 inch (Barco Coronis Fusion) and in phase II, a 12MP, 30.9-inch (Barco Nio Fusion) is used. Nine chest and three musculoskeletal radiologists each batch-interpreted an average of 115 radiographs in phase I and 115 radiographs in phase II as part of routine clinical work. Radiologists were blinded to monitor resolution. Interpretation times per radiograph was noted from dictation logs. We found that interpretation was faster on 12 MP monitor by 6.88 (p = 0.002) and 6.76 seconds (8.7%) (p < 0.001) for chest radiographs only and combined chest and musculoskeletal radiographs, respectively. When evaluating musculoskeletal radiographs alone, the improvement in reading times with 12 MP monitor was 6.76 seconds (p = 0.111). Interpretation of radiographs on 12 MP monitors was ~8.7% faster than on 6 MP monitors.

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Mostafa Abozeed, Tom Kimpe, Seth Lirette, and Srini Tridandapani "Comparison of radiologists’ interpretation efficiency with radiographs: standard 6 MP versus 12 MP high-resolution display monitors", Proc. SPIE 12467, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, 124670Z (3 April 2023); https://doi.org/10.1117/12.2652954

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