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Related Experiment Videos

The probably benign assessment.

Jessica W T Leung1, Edward A Sickles

  • 1Department of Radiology, University of California San Francisco Medical Center, 1600 Divisadero Street, Room C-250, San Francisco, CA 94115, USA. jessica.leung@ucsfmedctr.org

Radiologic Clinics of North America
|September 25, 2007
PubMed
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The probably benign assessment, a category 3 finding in breast imaging, has strong evidence for mammography but needs more data for ultrasound and MR imaging. This review explores its appropriate use, evidence, and potential expansion.

Area of Science:

  • Radiology and Medical Imaging
  • Breast Imaging Analytics
  • Oncological Diagnostics

Background:

  • The Breast Imaging Reporting and Data System (BI-RADS) category 3, or 'probably benign' assessment, indicates a <2% chance of malignancy.
  • Its application in mammography is supported by extensive data from large prospective studies.
  • However, its use for lesions detected solely via ultrasound or MR imaging is less established.

Purpose of the Study:

  • To provide an in-depth examination of the 'probably benign' assessment in breast imaging.
  • To define criteria for lesions suitable for this assessment.
  • To review supporting evidence, identify misuse pitfalls, and explore potential expanded applications.

Main Methods:

  • Literature review of studies on BI-RADS category 3 assessments.

Related Experiment Videos

  • Analysis of evidence supporting the use of 'probably benign' findings across different imaging modalities.
  • Discussion of current research and under-investigated areas.

    • Main Results:

    • Mammographic use of 'probably benign' is well-supported by robust data.
    • Evidence for ultrasound and MR imaging applications requires further development.
    • Potential for expanded use exists but needs rigorous investigation.

    Conclusions:

    • The 'probably benign' assessment is valuable but requires modality-specific validation.
    • Further research is crucial to establish guidelines for its use in ultrasound and MR imaging.
    • Careful application and ongoing research can optimize its role in breast cancer risk stratification.