Open AccessCan micro-computed tomography imaging improve interpretation of macroscopic margin assessment of specimen radiography in excised breast specimens?
Author(s) -
Tamara N. Abel,
Anita G. Bourke
Publication year - 2020
Publication title -
journal of cancer research and therapeutics/journal of cancer research and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 39
eISSN - 0973-1482
pISSN - 1998-4138
DOI - 10.4103/jcrt.jcrt_949_19
Subject(s) - medicine , margin (machine learning) , radiology , radiography , surgical margin , breast conserving surgery , breast cancer , breast carcinoma , tomography , mammography , nuclear medicine , mastectomy , surgery , cancer , resection , machine learning , computer science
Peri-operative macroscopic margin assessment with standard intraoperative specimen radiography (IOSR) results in improved re-excision rates in excised breast tissue specimens but is limited. This study sought to improve the intraoperative margin assessment on standard IOSR techniques by utilizing noninvasive X-ray micro-computed tomography (micro-CT) imaging of breast tissue specimens to compare margins in three-dimensional with two-dimensional IOSR.