Improved differentiation of benign and malignant breast lesions based on Kaiser score descriptors and apparent diffusion coefficient

This is the authors' abstract. We don't add key points for this paper.

Breast cancer is the most frequently diagnosed malignant tumor in women and badly threatens the female's health. Kaiser score (KS) shows excellent and robust performance in evaluating breast lesions. This scoring system doesn’t include quantitative image features and clinical information, however, which may result in false-negative diagnoses, especially for cancers showing atypical morphological characteristics. In this study, we evaluated the importance of five features in KS, apparent diffusion coefficient (ADC), and patient age respectively and combined them to build new models to explore if there will be an improvement in the differential diagnosis of breast lesions compared with KS.