Efficacy of mammography in assessing safety margin on surgical specimens

Objectives: This study evaluates the efficacy of mammography in assessing surgical margins in breast cancer patients undergoing breast-conserving surgery (BCS) to minimize reoperation rates. By comparing radiologic assessments with histopathology results, we assess mammography’s sensitivity, specificity, and diagnostic performance in determining margin status. Methods: A retrospective analysis was conducted on patients who underwent BCS at Prince Sultan Military Medical City between 2021 and 2023. Radiology assessments from mammography were compared with pathology results to calculate sensitivity, specificity, and the rates of false positives and false negatives. Results: The study found a sensitivity of 84%, indicating that mammography successfully identified 84% of cases with positive margins. Specificity was 81.6%, with a false positive rate of 18.4% and a false negative rate of 16%. These findings suggest that mammography provides reasonable accuracy for intraoperative margin assessment, although the presence of false positives and false negatives highlights the need for further optimization. Conclusion: While mammography offers a relatively effective method for intraoperative margin assessment, improvements are needed to reduce the rates of false positives and false negatives. Advanced imaging technologies, such as digital breast tomosynthesis, may enhance the precision of margin assessments.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17374682
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficacy of mammography in assessing safety margin on surgical specimens

Zenodo (CERN European Organization for Nuclear Research)
Digital Radiography and Breast Imaging
article

Efficacy of mammography in assessing safety margin on surgical specimens

article en

Abstract

Objectives: This study evaluates the efficacy of mammography in assessing surgical margins in breast cancer patients undergoing breast-conserving surgery (BCS) to minimize reoperation rates. By comparing radiologic assessments with histopathology results, we assess mammography’s sensitivity, specificity, and diagnostic performance in determining margin status. Methods: A retrospective analysis was conducted on patients who underwent BCS at Prince Sultan Military Medical City between 2021 and 2023. Radiology assessments from mammography were compared with pathology results to calculate sensitivity, specificity, and the rates of false positives and false negatives. Results: The study found a sensitivity of 84%, indicating that mammography successfully identified 84% of cases with positive margins. Specificity was 81.6%, with a false positive rate of 18.4% and a false negative rate of 16%. These findings suggest that mammography provides reasonable accuracy for intraoperative margin assessment, although the presence of false positives and false negatives highlights the need for further optimization. Conclusion: While mammography offers a relatively effective method for intraoperative margin assessment, improvements are needed to reduce the rates of false positives and false negatives. Advanced imaging technologies, such as digital breast tomosynthesis, may enhance the precision of margin assessments.

Zenodo (CERN European Organization for Nuclear Research)
Riyadh Armed Forces Hospital (SA)
Good health and well-being
Openalex Percentile: Top 33%
Digital Radiography and Breast Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.