The impact of artificial intelligence on double reading of mammograms

Abstract

Mammography is a gold standard for early diagnosis of breast tumors. Independent double-reading of mammograms by two different radiologists is recommended to use in order to provide a high quality of preventive examination and to detect additional cases of malignant neoplasms. Nevertheless, this approach increases the work load and time of mammography results receiving. Objective. To assess the impact of artificial intelligence (AI) algorithm on the duration of double reading of mammograms. Material and methods. The study was conducted at the Moscow Reference Centre for Radiology Diagnostics (Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies, telemedai.ru). Mammograms were reviewed and radiology reports were prepared in the Unified Radiological Information Service of the Unified Medical Information and Analytical System in Moscow. Twelve radiologists who specialize in mammogram descriptions participated in the study. Russian-made softwarewas used for automatic analysis of mammograms. Two scenarios were implemented as a part of the study: the first — double-reading by radiologists, the second — first reading by AI algorithm, second reading by radiologist. Results. In the first scenario, a double reading was performed for 480 mammograms, in the second one — 510 mammograms. The average duration of the double-reading for the first scenario was 34:12:18 (hh:mm:ss), for the second one — 11:28:58. Application of AI algorithm allowed to reduce the duration of double-reading by 66.4% (p<0.0001). Conclusion. The use of artificial intelligence algorithm in analysis of preventive mammography examinations allowed to reduce the duration of double-reading and work load on radiologists.

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