Microcalcifications on mammograms obtained before neoadjuvant chemotherapy (NAC), peritumoral edema on MRI scans obtained after NAC, and clinical-pathologic variables were associated with survival ... Background Little is known regarding findings at imaging associated with survival in patients with luminal breast cancer treated with neoadjuvant chemotherapy (NAC). Purpose To determine the relati...

Kim SY, et al. Korean J Radiol. 2020 Feb;21:e52. https://doi.org/10.3348/kjr.2019.0567

The present study evaluated the diagnostic performance of artificial intelligence-based computer-aided diagnosis (AI-CAD) compared to that of dedicated breast radiologists in characterizing suspicious microcalcification on mammography. We retrospectively analyzed 435 unilateral mammographies from 420 patients (286 benign; 149 malignant) undergoing biopsy for suspicious microcalcification from June 2003 to November 2019. Commercial AI-CAD was applied to the mammography images, and malignancy scores were calculated. Diagnostic performance was compared between radiologists and AI-CAD using the area under the receiving operator characteristics curve (AUC). The AUCs of radiologists and AI-CAD were not significantly different (0.722 vs. 0.745, p = 0.393). The AUCs of the adjusted category were 0.726, 0.744, and 0.756 with cutoffs of 2%, 10%, and 38.03% for AI-CAD, respectively, which were all significantly higher than those for radiologists alone (all p < 0.05). None of the 27 cases downgraded to category 3 with a cutoff of 2% were confirmed as malignant on pathological analysis, suggesting that unnecessary biopsies could be avoided. Our findings suggest that the diagnostic performance of AI-CAD in characterizing suspicious microcalcification on mammography was similar to that of the radiologists, indicating that it may aid in making clinical decisions regarding the treatment of breast microcalcification.

Chang JM, et al. J Breast Cancer. 2021 Dec;24(6):554-560. https://doi.org/10.4048/jbc.2021.24.e47

The addition of screening breast US to digital mammography and digital breast tomosynthesis screening in women at average risk led to a higher abnormal interpretation rate for a modest gain in canc... Background Digital breast tomosynthesis (DBT) with or without digital mammography (DM) is the primary method of breast cancer screening. However, the sufficiency of DBT screening for women at avera...

Ha SM, et al. Korean J Radiol. 2023 Apr;24(4):274-283. https://doi.org/10.3348/kjr.2022.0649