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Malignancy Risk Stratification Prediction of Amorphous Calcifications Based on Clinical and Mammographic Features.

Lijuan Shen1,2, Xiaowen Ma2,3, Tingting Jiang2,3

  • 1Shanghai Institute of Medical Imaging, Shanghai, People's Republic of China.

Cancer Management and Research
|January 20, 2021
PubMed
Summary

This study identifies key factors like calcification distribution, size, and quantity to predict malignancy risk in amorphous calcifications. A developed nomogram aids in accurate risk stratification for these mammographic findings.

Keywords:
breast cancercalcificationsmalignancy risk stratificationmammographynomogram

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Amorphous calcifications on mammography present a diagnostic challenge.
  • Accurate malignancy risk stratification is crucial for patient management.

Purpose of the Study:

  • To identify factors influencing malignancy risk in amorphous calcifications.
  • To develop a predictive nomogram for risk stratification.

Main Methods:

  • Retrospective review of mammograms (2013-2018).
  • Analysis of clinical and mammographic features (BI-RADS 5th edition).
  • Development and validation of a nomogram using logistic regression.

Main Results:

  • 1018 amorphous calcifications analyzed; malignancy rate was 28.4%.
  • Significant differences in malignancy rates based on calcification distribution, quantity, age, menopausal status, and family history.
  • Nomogram incorporating age, distribution, maximum diameter, and quantity showed good discrimination (AUC 0.799 training, 0.795 validation).

Conclusions:

  • Calcification distribution, maximum diameter, and quantity are independent predictors of malignancy.
  • The developed nomogram provides reliable malignancy risk stratification for amorphous calcifications.