Using AI analytics as imaging biomarkers to predict invasive upgrade of ductal carcinoma in situ
This study aimed to evaluate the effectiveness of AI-based computer-aided detection/diagnosis (AI-CAD) scores in predicting invasive upgrade in ductal carcinoma in situ (DCIS) diagnosed on percutaneous biopsy. The authors included 440 DCIS cases from 420 women diagnosed via percutaneous biopsy between 2015 and 2019. The results of the study showed that 26.6% of DCIS cases were upgraded to invasive cancer.