Video-rate structured illumination microscopy (VR-SIM) for rapid assessment of fresh surgical margins

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

doi:10.1117/12.2183826

15 July 2015 Video-rate structured illumination microscopy (VR-SIM) for rapid assessment of fresh surgical margins

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

Author Affiliations +

Proceedings Volume 9537, Clinical and Biomedical Spectroscopy and Imaging IV; 95370P (2015) https://doi.org/10.1117/12.2183826
Event: European Conferences on Biomedical Optics, 2015, Munich, Germany

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.

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David B. Tulman, Mei Wang, Hillary Z. Kimbrell, Andrew B. Sholl, Katherine N. Elfer, Tyler C. Schlichenmeyer, Sree Mandava, Benjamin R. Lee, Michelle Lacey, and J. Quincy Brown "Video-rate structured illumination microscopy (VR-SIM) for rapid assessment of fresh surgical margins", Proc. SPIE 9537, Clinical and Biomedical Spectroscopy and Imaging IV, 95370P (15 July 2015); https://doi.org/10.1117/12.2183826

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KEYWORDS

Tumors

Prostate

Imaging systems

Microscopy

Pathology

Video microscopy

Cancer

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