Evaluation of computer-aided diagnosis in breast ultrasonography: Improvement in diagnostic performance of inexperienced radiologists

To evaluate if a computer-aided diagnosis (CAD) system on ultrasound (US) can improve the diagnostic performance of inexperienced radiologists. We collected ultrasound images of 256 breast lesions taken between March and May 2020. We asked two experienced and two inexperienced radiologists to retros...

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Bibliographic Details
Published in:Clinical imaging 2022-02, Vol.82, p.150-155
Main Authors: Nicosia, Luca, Addante, Francesca, Bozzini, Anna Carla, Latronico, Antuono, Montesano, Marta, Meneghetti, Lorenza, Tettamanzi, Francesca, Frassoni, Samuele, Bagnardi, Vincenzo, De Santis, Rossella, Pesapane, Filippo, Fodor, Cristiana Iuliana, Mastropasqua, Mauro Giuseppe, Cassano, Enrico
Format: Article
Language:English
Subjects:
Accuracy
Agreements
Biopsy
Breast
Breast biopsy
Breast Neoplasms - diagnostic imaging
Breasts
Computer-aided diagnosis (CAD)
Computers
Diagnosis
Diagnosis, Computer-Assisted
Female
Humans
Hypotheses
Lesions
Mammography
Radiologists
Retrospective Studies
Sensitivity
Sensitivity and Specificity
Software
Ultrasonic imaging
Ultrasonic testing
Ultrasonography
Ultrasonography, Mammary
Ultrasound
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Summary:To evaluate if a computer-aided diagnosis (CAD) system on ultrasound (US) can improve the diagnostic performance of inexperienced radiologists. We collected ultrasound images of 256 breast lesions taken between March and May 2020. We asked two experienced and two inexperienced radiologists to retrospectively review the US features of each breast lesion according to the Breast Imaging Reporting and Data System (BI-RADS) categories. A CAD examination with S-Detect™ software (Samsung Healthcare, Seoul, South Korea) was conducted retrospectively by another uninvolved radiologist blinded to the BIRADS values previously attributed to the lesions. Diagnostic performances of experienced and inexperienced radiologists and CAD were compared and the inter-observer agreement among radiologists was calculated. The diagnostic performance of the experienced group in terms of sensitivity was significantly higher than CAD (p 
ISSN:0899-7071
1873-4499
DOI:10.1016/j.clinimag.2021.11.006