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Proceedings Paper

Mobile large area confocal scanner for imaging tumor margins: initial testing in the pathology department
Author(s): Sanjee Abeytunge; Yongbiao Li; Bjorg Larson; Gary Peterson; Ricardo Toledo-Crow; Milind Rajadhyaksha
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Paper Abstract

Surgical oncology is guided by examining pathology that is prepared during or after surgery. The preparation time for Mohs surgery in skin is 20-45 minutes, for head-and-neck and breast cancer surgery is hours to days. Often this results in incomplete tumor removal such that positive margins remain. However, high resolution images of excised tissue taken within few minutes can provide a way to assess the margins for residual tumor. Current high resolution imaging methods such as confocal microscopy are limited to small fields of view and require assembling a mosaic of images in two dimensions (2D) to cover a large area, which requires long acquisition times and produces artifacts. To overcome this limitation we developed a confocal microscope that scans strips of images with high aspect ratios and stitches the acquired strip-images in one dimension (1D). Our “Strip Scanner” can image a 10 x 10 mm2 area of excised tissue with sub-cellular detail in about one minute. The strip scanner was tested on 17 Mohs excisions and the mosaics were read by a Mohs surgeon blinded to the pathology. After this initial trial, we built a mobile strip scanner that can be moved into different surgical settings. A tissue fixture capable of scanning up to 6 x 6 cm2 of tissue was also built. Freshly excised breast and head-and-neck tissues were imaged in the pathology lab. The strip-images were registered and displayed simultaneously with image acquisition resulting in large, high-resolution confocal mosaics of fresh surgical tissue in a clinical setting.

Paper Details

Date Published: 22 March 2013
PDF: 14 pages
Proc. SPIE 8572, Advanced Biomedical and Clinical Diagnostic Systems XI, 85720U (22 March 2013); doi: 10.1117/12.2005026
Show Author Affiliations
Sanjee Abeytunge, Memorial Sloan-Kettering Cancer Ctr. (United States)
Yongbiao Li, Memorial Sloan-Kettering Cancer Ctr. (United States)
Bjorg Larson, Memorial Sloan-Kettering Cancer Ctr. (United States)
Gary Peterson, Memorial Sloan-Kettering Cancer Ctr. (United States)
Ricardo Toledo-Crow, Memorial Sloan-Kettering Cancer Ctr. (United States)
Milind Rajadhyaksha, Memorial Sloan-Kettering Cancer Ctr. (United States)


Published in SPIE Proceedings Vol. 8572:
Advanced Biomedical and Clinical Diagnostic Systems XI
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest, Editor(s)

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