Healthcare (Feb 2023)

Contrast-Enhanced Spectral Mammography in the Evaluation of Breast Microcalcifications: Controversies and Diagnostic Management

  • Luca Nicosia,
  • Anna Carla Bozzini,
  • Giulia Signorelli,
  • Simone Palma,
  • Filippo Pesapane,
  • Samuele Frassoni,
  • Vincenzo Bagnardi,
  • Maria Pizzamiglio,
  • Mariagiorgia Farina,
  • Chiara Trentin,
  • Silvia Penco,
  • Lorenza Meneghetti,
  • Claudia Sangalli,
  • Enrico Cassano

DOI
https://doi.org/10.3390/healthcare11040511
Journal volume & issue
Vol. 11, no. 4
p. 511

Abstract

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The aim of this study was to evaluate the diagnostic performance of contrast-enhanced spectral mammography (CESM) in predicting breast lesion malignancy due to microcalcifications compared to lesions that present with other radiological findings. Three hundred and twenty-one patients with 377 breast lesions that underwent CESM and histological assessment were included. All the lesions were scored using a 4-point qualitative scale according to the degree of contrast enhancement at the CESM examination. The histological results were considered the gold standard. In the first analysis, enhancement degree scores of 2 and 3 were considered predictive of malignity. The sensitivity (SE) and positive predictive value (PPV) were significative lower for patients with lesions with microcalcifications without other radiological findings (SE = 53.3% vs. 82.2%, p-value p-value = 0.049, respectively). On the contrary, the specificity (SP) and negative predictive value (NPV) were significative higher among lesions with microcalcifications without other radiological findings (SP = 95.8% vs. 84.2%, p-value = 0.026 and NPV = 82.9% vs. 55.2%, p-value p-value p-value: 0.005) were significantly lower among lesions with microcalcifications without other radiological findings, while the SP (85.9% vs. 50.9%, p-value < 0.001) was higher. The enhancement of microcalcifications has low sensitivity in predicting malignancy. However, in certain controversial cases, the absence of CESM enhancement due to its high negative predictive value can help to reduce the number of biopsies for benign lesions

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