The negative predictive value of breast Magnetic Resonance Imaging in noncalcified BIRADS 3 lesions

Eur J Radiol. 2012 Feb;81(2):209-13. doi: 10.1016/j.ejrad.2010.12.046. Epub 2011 Jan 20.

Abstract

Purpose: The purpose of this study is to determine whether breast MRI can provide a sufficient NPV to safely rule out malignancy in mammographic BIRADS 3 lesions.

Materials and methods: In a 3-year consecutive mammographic examination study 176 out of 4391 patients had a lesion classified as BIRADS 3. 76 out of 176 patients underwent breast MRI as diagnostic work-up. Lesions which MRI classified as BIRADS 1 or 2 were considered negative for malignancy. Sensitivity, specificity, PPV and NPV were calculated.

Results: In 27 out of 76 (35.5%) patients MRI showed no enhancement and was classified as BIRADS 1. In 25 (32.9%) patients MRI showed focal or mass enhancement classified as BIRADS 2. In these 52 (68.4%) patients no malignancy was found during at least 2 years study follow-up. The other 24 (31.6%) patients had a lesion classified as BIRADS ≥ 3. Thirteen of these 24 lesions were malignant by pathology. MRI had a sensitivity of 100% (95% CI: 75-100%), specificity of 82.5% (95% CI: 71-91%), PPV of 54.2% (95% CI: 33-74%) and NPV of 100% (95% CI: 93-100%).

Conclusion: Breast MRI should be used in a diagnostic strategy for the work-up of noncalcified BIRADS 3 lesions. Malignancy is ruled out with a very high level of confidence in the majority of patients (68%), herewith avoiding invasive diagnostic procedures.

MeSH terms

  • Adult
  • Aged
  • Breast Neoplasms / epidemiology*
  • Breast Neoplasms / pathology*
  • Calcinosis / epidemiology
  • Calcinosis / pathology
  • False Negative Reactions
  • False Positive Reactions
  • Female
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Magnetic Resonance Imaging / statistics & numerical data*
  • Mass Screening / statistics & numerical data*
  • Middle Aged
  • Netherlands / epidemiology
  • Prevalence
  • Prognosis
  • Reproducibility of Results
  • Risk Assessment / methods
  • Risk Factors
  • Sensitivity and Specificity