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High-Resolution Full-3D Specimen Imaging for Lumpectomy Margin Assessment in Breast Cancer
- Source :
- Annals of Surgical Oncology
- Publication Year :
- 2021
-
Abstract
- Background Two-dimensional (2D) specimen radiography (SR) and tomosynthesis (DBT) for breast cancer yield data that lack high-depth resolution. A volumetric specimen imager (VSI) was developed to provide full-3D and thin-slice cross-sectional visualization at a 360° view angle. The purpose of this prospective trial was to compare VSI, 2D SR, and DBT interpretation of lumpectomy margin status with the final pathologic margin status of breast lumpectomy specimens. Methods The study enrolled 200 cases from two institutions. After standard imaging and interpretation was performed, the main lumpectomy specimen was imaged with the VSI device. Image interpretation was performed by three radiologists after surgery based on VSI, 2D SR, and DBT. A receiver operating characteristic (ROC) curve was created for each method. The area under the curve (AUC) was computed to characterize the performance of the imaging method interpreted by each user. Results From 200 lesions, 1200 margins were interpreted. The AUC values of VSI for the three radiologists were respectively 0.91, 0.90, and 0.94, showing relative improvement over the AUCs of 2D SR by 54%, 13%, and 40% and DBT by 32% and 11%, respectively. The VSI has sensitivity ranging from 91 to 94%, specificity ranging from 81 to 85%, a positive predictive value ranging from 25 to 30%, and a negative predicative value of 99%. Conclusions The ROC curves of the VSI were higher than those of the other specimen imaging methods. Full-3D specimen imaging can improve the correlation between the main lumpectomy specimen margin status and surgical pathology. The findings from this study suggest that using the VSI device for intraoperative margin assessment could further reduce the re-excision rates for women with malignant disease.
- Subjects :
- Receiver operating characteristic
business.industry
medicine.medical_treatment
Lumpectomy
High resolution
Breast Neoplasms
Breast Oncology
medicine.disease
Mastectomy, Segmental
Tomosynthesis
Malignant disease
Surgical pathology
Breast cancer
Cross-Sectional Studies
Oncology
Margin (machine learning)
Medicine
Humans
Surgery
Female
Breast
Prospective Studies
business
Nuclear medicine
Mammography
Subjects
Details
- ISSN :
- 15344681
- Volume :
- 28
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Annals of surgical oncology
- Accession number :
- edsair.doi.dedup.....69391c61d302d83b9a88ea73e64a4a21