Share Email Print
cover

Proceedings Paper

Video-rate structured illumination microscopy (VR-SIM) for rapid assessment of fresh surgical margins
Author(s): David B. Tulman; Mei Wang; Hillary Z. Kimbrell; Andrew B. Sholl; Katherine N. Elfer; Tyler C. Schlichenmeyer; Sree Mandava; Benjamin R. Lee; Michelle Lacey; J. Quincy Brown
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Intra-operative surgical margin assessment by pathology is labor-intensive and time-consuming and is not practically capable of sampling the entire specimen. Positive surgical margins (PSMs), or tumor extending to the surface of the excised specimen, are associated with increased tumor recurrence and are accepted as poor independent prognostic indicators. Considering the PSM rate is high for patients with prostate and kidney cancer, residual tumor following radical prostatectomy and partial nephrectomy remains a significant problem. To address the unmet clinical need for an imaging tool that can provide sub-cellular resolution images of large areas of excised surgical specimens in an intra-operative timeframe, we have developed a video rate structured illumination microscopy (VR-SIM) system. We conducted a clinical trial using VR-SIM to create gigapixel mosaics of entire margin surfaces for each specimen. In the ongoing study, 5 patients undergoing radical prostatectomy and 4 patients undergoing partial nephrectomy participated to have digital images of their surgical specimens reviewed in comparison to the pathology report. The surfaces of the intact, excised specimens were imaged in an appropriate timeframe and showed visualization of histopathologically relevant structures.

Paper Details

Date Published: 15 July 2015
PDF: 4 pages
Proc. SPIE 9537, Clinical and Biomedical Spectroscopy and Imaging IV, 95370P (15 July 2015); doi: 10.1117/12.2183826
Show Author Affiliations
David B. Tulman, Tulane Univ. (United States)
Mei Wang, Tulane Univ. (United States)
Hillary Z. Kimbrell, Tulane Univ. School of Medicine (United States)
Andrew B. Sholl, Tulane Univ. School of Medicine (United States)
Katherine N. Elfer, Tulane Univ. (United States)
Tyler C. Schlichenmeyer, Tulane Univ. (United States)
Sree Mandava, Tulane Univ. School of Medicine (United States)
Benjamin R. Lee, Tulane Univ. School of Medicine (United States)
Michelle Lacey, Tulane Univ. (United States)
J. Quincy Brown, Tulane Univ. (United States)


Published in SPIE Proceedings Vol. 9537:
Clinical and Biomedical Spectroscopy and Imaging IV
J. Quincy Brown; Volker Deckert, Editor(s)

© SPIE. Terms of Use
Back to Top