Literature DB >> 33571221

Assessment of breast cancer surgical margins with multimodal optical microscopy: A feasibility clinical study.

Mark T Scimone1, Savitri Krishnamurthy2, Gopi Maguluri1, Dorin Preda1, Jesung Park1, John Grimble1, Min Song1, Kechen Ban1, Nicusor Iftimia1.   

Abstract

Providing surgical margin information during breast cancer surgery is crucial for the success of the procedure. The margin is defined as the distance from the tumor to the cut surface of the resection specimen. The consensus among surgeons and radiation oncologists is that there should be no tumor left within 1 to maximum 2 mm from the surface of the surgical specimen. If a positive margin remains, there is substantial risk for tumor recurrence, which may also result in potentially reduced cosmesis and eventual need for mastectomy. In this paper we report a novel multimodal optical imaging instrument based on combined high-resolution confocal microscopy-optical coherence tomography imaging for assessing the presence of potential positive margins on surgical specimens. Since rapid specimen analysis is critical during surgery, this instrument also includes a fluorescence imaging channel to enable rapid identification of the areas of the specimen that have potential positive margins. This is possible by specimen incubation with a cancer specific agent prior to imaging. In this study we used a quenched contrast agent, which is activated by cancer specific enzymes, such as urokinase plasminogen activators (uPA). Using this agent or a similar one, one may limit the use of high-resolution optical imaging to only fluorescence-highlighted areas for visualizing tissue morphology at the sub-cellular scale and confirming or ruling out cancer presence. Preliminary evaluation of this technology was performed on 20 surgical specimens and testing of the optical imaging findings was performed against histopathology. The combination of the three imaging modes allowed for high correlation between optical image analysis and histological ground-truth. The initial results are encouraging, showing instrument capability to assess margins on clinical specimens with a positive predictive value of 1.0 and a negative predictive value of 0.83.

Entities:  

Year:  2021        PMID: 33571221      PMCID: PMC7877783          DOI: 10.1371/journal.pone.0245334

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  30 in total

1.  Breast conservation and negative margins: how much is enough?

Authors:  M Morrow
Journal:  Breast       Date:  2009-10       Impact factor: 4.380

2.  Attaining negative margins in breast-conservation operations: is there a consensus among breast surgeons?

Authors:  Sarah L Blair; Kari Thompson; Joseph Rococco; Vanessa Malcarne; Peter D Beitsch; David W Ollila
Journal:  J Am Coll Surg       Date:  2009-09-11       Impact factor: 6.113

3.  Role of specimen US for predicting resection margin status in breast conserving therapy.

Authors:  M Moschetta; M Telegrafo; T Introna; L Coi; L Rella; V Ranieri; A Cirili; A A Stabile Ianora; G Angelelli
Journal:  G Chir       Date:  2015 Sep-Oct

4.  Detection of breast surgical margins with optical coherence tomography imaging: a concept evaluation study.

Authors:  Dan Savastru; Ernest W Chang; Sorin Miclos; Martha B Pitman; Ankit Patel; Nicusor Iftimia
Journal:  J Biomed Opt       Date:  2014-05       Impact factor: 3.170

5.  Accuracy of intraoperative frozen-section analysis of breast cancer lumpectomy-bed margins.

Authors:  Juan C Cendán; Dominique Coco; Edward M Copeland
Journal:  J Am Coll Surg       Date:  2005-08       Impact factor: 6.113

6.  Breast cancer detection using high-resolution breast PET compared to whole-body PET or PET/CT.

Authors:  Judith E Kalinyak; Wendie A Berg; Kathy Schilling; Kathleen S Madsen; Deepa Narayanan; Marie Tartar
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-10-02       Impact factor: 9.236

7.  Intraoperative margin assessment and re-excision rate in breast conserving surgery.

Authors:  F J Fleming; A D K Hill; E W Mc Dermott; A O'Doherty; N J O'Higgins; C M Quinn
Journal:  Eur J Surg Oncol       Date:  2004-04       Impact factor: 4.424

Review 8.  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

9.  Auto-fluorescence lifetime and light reflectance spectroscopy for breast cancer diagnosis: potential tools for intraoperative margin detection.

Authors:  Vikrant Sharma; Shivaranjani Shivalingaiah; Yan Peng; David Euhus; Zygmunt Gryczynski; Hanli Liu
Journal:  Biomed Opt Express       Date:  2012-07-09       Impact factor: 3.732

10.  Quantitative micro-elastography: imaging of tissue elasticity using compression optical coherence elastography.

Authors:  Kelsey M Kennedy; Lixin Chin; Robert A McLaughlin; Bruce Latham; Christobel M Saunders; David D Sampson; Brendan F Kennedy
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

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