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Accuracy of Specimen Radiography in Assessing Complete Local Excision with Breast-Conservation Surgery
Saira Naz1, Imrana Masroor, Shaista Afzal
1Departments of Diagnostic Radiology and Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Specimen radiography accurately predicts complete local excision (CLE) in breast cancer surgery. Key radiographic features like mass presence and absence of microcalcifications are significant indicators for successful excision.
Area of Science:
- Radiology
- Oncology
- Surgical Pathology
Background:
- Complete local excision (CLE) is crucial for breast-conserving surgery outcomes.
- Accurate assessment of surgical margins is essential to prevent local recurrence.
- Radiography of resected specimens offers a potential method for intraoperative margin assessment.
Purpose of the Study:
- To evaluate the diagnostic accuracy of specimen radiography in assessing CLE.
- To identify radiographic features associated with successful local excision of breast cancer.
Main Methods:
- Retrospective cross-sectional study of female breast cancer cases undergoing breast-conserving surgery.
- Analysis of specimen radiographs for features: margin spiculation, mass presence/absence, microcalcification presence/proximity, mass size.
- Exclusion criteria included male patients, mammographically invisible disease, benign/inconclusive pathology, mastectomy, and dense breast parenchyma.
Main Results:
- Absence of adjacent microcalcification and presence of a mass on radiographs were significantly associated with CLE.
- Specimen radiography demonstrated a positive predictive value of 83.3%, sensitivity of 80.7%, and specificity of 81% for predicting CLE.
- Other evaluated features showed no significant association with CLE.
Conclusions:
- Specimen radiography is a valuable and sensitive tool for predicting complete local excision in breast cancer.
- Radiographic assessment of resected specimens can aid in confirming adequate margins.
- This technique supports surgical decision-making and can potentially reduce positive margin rates.
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