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The authors of this study aimed to evaluate how artificial intelligence computer-aided detection (AI-CAD) differentiates lesions presenting as calcifications, subsequently comparing its performance to that of an experienced breast radiologist. The authors discovered that AI-CAD showed similar diagnostic performances to the radiologists regarding calcifications detected in mammography.

Key points

  • Among calcifications with same morphology or BI-RADS assessment, those with positive AI-CAD scores had significantly higher PPVs.
  • AI-CAD showed similar diagnostic performance to an experienced radiologist in assessing lesions detected as calcifications only on mammography.
  • Among malignant calcifications, calcifications with positive AI-CAD scores showed higher rates of invasive cancers than calcifications with negative scores (all p > 0.05).

Article: AI-CAD for differentiating lesions presenting as calcifications only on mammography: outcome analysis incorporating the ACR BI-RADS descriptors for calcifications

Authors: Jiyoung Yoon, Hye Sun Lee, Min Jung Kim, Vivian Youngjean Park, Eun-Kyung Kim & Jung Hyun Yoon

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