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Related Experiment Video

Updated: Mar 31, 2026

Clinical Imaging of Microwave Mammography
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Breast MR biopsy: Pathological and radiological correlation.

Chloé Dratwa1, Aurélie Jalaguier-Coudray2, Jeanne Thomassin-Piana3

  • 1Department of Radiology, AP-HP, Hôpital Tenon, 75020, Paris, France. chloedratwa@gmail.com.

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|October 30, 2015
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Summary

Pathological analysis of magnetic resonance imaging-guided vacuum-assisted breast biopsy (MRIgVaBB) samples is key. A visible interface between the lesion and surrounding tissue helps confirm accurate targeting, optimizing radiopathology correlation for breast cancer diagnosis.

Keywords:
BiopsyBreastMagnetic Resonance ImagingNeoplasmsPathology

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Area of Science:

  • Radiology
  • Pathology
  • Breast Imaging

Background:

  • Magnetic resonance imaging-guided vacuum-assisted breast biopsy (MRIgVaBB) is a crucial tool for breast lesion diagnosis.
  • Optimizing the correlation between imaging findings and pathological analysis is essential for accurate diagnosis and management.
  • Identifying discordant benign results requires a thorough understanding of radiopathology.

Purpose of the Study:

  • To identify pathological features for sample analysis of MRIgVaBB.
  • To optimize radiopathology correlation for breast biopsy specimens.
  • To identify factors contributing to discordant benign results in MRIgVaBB.

Main Methods:

  • Retrospective analysis of 197 women (208 lesions) undergoing MRIgVaBB between 2009 and 2013.
  • Review of prebiopsy MRI examinations using the BI-RADS lexicon.
  • Detailed pathological description of biopsy samples, including lesion interface and associated features.

Main Results:

  • Malignancy rate was 26.0%, with an underestimation rate of 15.67%.
  • A visible pathological interface was more frequent in mass enhancements than non-mass enhancements (NME) or foci (p=0.0003).
  • Regional NME correlated with fibrosis and pseudoangiomatous stromal hyperplasia (PASH) (p=0.001, p=0.0007), while linear/segmental NME correlated with periductal mastitis (p=0.0003).

Conclusions:

  • Describing the visible interface between the target lesion and surrounding tissue is critical for confirming correct targeting in MRI masses or NME.
  • Pathological interface characteristics aid in correlating MRI findings with biopsy results.
  • Specific NME patterns are associated with distinct pathological findings, aiding in diagnosis.