Accuracy of breast ultrasound image analysis software in feature analysis: a comparative study with sonographers.

ABSTRACT: Breast ultrasound is recommended for early breast cancer detection in China, but the rapid increase in imaging data burdens sonographers. This study evaluated the agreement between artificial intelligence (AI) software and sonographers in analyzing breast nodule features. Breast ultrasound images from two hospitals in Shanghai were analyzed by both the software and the sonographers for features including echotexture, echo pattern, orientation, shape, margin, calcification, and posterior echo attenuation. Agreement between software and sonographers was compared using the proportion of agreement and Kappa, with analysis time also evaluated. A total of 493 images were analyzed. The proportion of agreement between software and sonographers in assessing features was 80.5% for echotexture, 84.4%

SUBMITTER: Wang Z 

PROVIDER: S-EPMC11681128 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature