Literature DB >> 17235716

Intraoperative digital specimen mammography: rapid, accurate results expedite surgery.

Cary S Kaufman1, Leslie Jacobson, Barbara A Bachman, Lauren B Kaufman, Carol Mahon, Laura-Jane Gambrell, Roger Seymour, Jennifer Briscoe, Karen Aulisio, Angi Cunningham, Francis Opstad, Nancy Schnell, Jan Robertson, Lynne Oliver.   

Abstract

INTRODUCTION: Specimen mammography during image guided breast surgery is a daily occurrence. The process of specimen travel, imaging and reporting may take 20-30 minutes. An intraoperative method to obtain digital specimen mammograms may expedite the process. We compared intraoperative digital specimen mammography (IDSM) as well as standard specimen mammography (SSM) on 121 consecutive image guided lumpectomies.
METHODS: Each lumpectomy specimen had IDSM obtained followed by travel to radiology for SSM. Surgical decisions were based on all imaging obtained. Data included 1) the ability of each imaging method to identify the target lesion, 2) degree of concordance of surgical interpretation of IDSM compared to radiologist interpretation of SSM, 3) the time required from lumpectomy to surgical review of images from each method, and 4) potential operative time savings.
RESULTS: Intraoperative digital specimen mammography (IDSM) was equally as accurate as standard x-ray film specimen mammography. There was no significant difference between 1) the frequency of identification of the target lesion by surgeon or radiologist, 2) lack of identification of any lesion, or 3) frequency of involved margins using imaging criteria. However, there was a marked difference in 1) the time needed to obtain images ready to read, 2) the ability to re-excise tissue promptly, and 3) the overall operating room time with an average decrease of 19 minutes.
CONCLUSIONS: Intraoperative digital specimen mammography (IDSM) was equally accurate as SSM obtained in this study. Use of this new technology allows surgeons to quickly view specimen images which translate into shorter more efficient operations.

Mesh:

Year:  2007        PMID: 17235716     DOI: 10.1245/s10434-006-9126-5

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  7 in total

1.  Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information.

Authors:  Esther Kho; Behdad Dashtbozorg; Lisanne L de Boer; Koen K Van de Vijver; Henricus J C M Sterenborg; Theo J M Ruers
Journal:  Biomed Opt Express       Date:  2019-08-07       Impact factor: 3.732

Review 2.  Review of methods for intraoperative margin detection for breast conserving surgery.

Authors:  Benjamin W Maloney; David M McClatchy; Brian W Pogue; Keith D Paulsen; Wendy A Wells; Richard J Barth
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

Review 3.  Future directions for monitoring treatment responses in breast cancer.

Authors:  Matthew P Shupe; Lindsey J Graham; Erika J Schneble; Frederick L Flynt; Michael N Clemenshaw; Aaron D Kirkpatrick; Alexander Stojadinovic; George E Peoples; Nathan M Shumway
Journal:  J Cancer       Date:  2014-01-05       Impact factor: 4.207

Review 4.  Emerging Technologies for Real-Time Intraoperative Margin Assessment in Future Breast-Conserving Surgery.

Authors:  Ambara R Pradipta; Tomonori Tanei; Koji Morimoto; Kenzo Shimazu; Shinzaburo Noguchi; Katsunori Tanaka
Journal:  Adv Sci (Weinh)       Date:  2020-03-17       Impact factor: 16.806

5.  Toolbox to Reduce Lumpectomy Reoperations and Improve Cosmetic Outcome in Breast Cancer Patients: The American Society of Breast Surgeons Consensus Conference.

Authors:  Jeffrey Landercasper; Deanna Attai; Dunya Atisha; Peter Beitsch; Linda Bosserman; Judy Boughey; Jodi Carter; Stephen Edge; Sheldon Feldman; Joshua Froman; Caprice Greenberg; Cary Kaufman; Monica Morrow; Barbara Pockaj; Melvin Silverstein; Lawrence Solin; Alicia Staley; Frank Vicini; Lee Wilke; Wei Yang; Hiram Cody
Journal:  Ann Surg Oncol       Date:  2015-07-28       Impact factor: 5.344

6.  Micro-computed tomography enables rapid surgical margin assessment during breast conserving surgery (BCS): correlation of whole BCS micro-CT readings to final histopathology.

Authors:  David M McClatchy; Rebecca A Zuurbier; Wendy A Wells; Keith D Paulsen; Brian W Pogue
Journal:  Breast Cancer Res Treat       Date:  2018-09-17       Impact factor: 4.872

7.  Signal to Noise Ratio as a Cross-Platform Metric for Intraoperative Fluorescence Imaging.

Authors:  Asmaysinh Gharia; Efthymios P Papageorgiou; Simeon Giverts; Catherine Park; Mekhail Anwar
Journal:  Mol Imaging       Date:  2020 Jan-Dec       Impact factor: 4.488

  7 in total

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