Literature DB >> 28834287

Partial nephrectomy margin imaging using structured illumination microscopy.

Mei Wang1, David B Tulman2, Andrew B Sholl3, Sree H Mandava4, Michael M Maddox4, Benjamin R Lee5, J Quincy Brown1.   

Abstract

Partial nephrectomy (PN) is the recommended procedure over radical nephrectomy (RN) for patients with renal masses less than 4 cm in diameter (Stage T1a). Patients with less than 4 cm renal masses can also be treated with PN, but have a higher risk for positive surgical margins (PSM). PSM, when present, are indicative of poor clinical outcomes. The current gold-standard histopathology method is not well-suited for the identification of PSM intraoperatively due to processing time and destructive nature. Here, video-rate structured illumination microscopy (VR-SIM) was investigated as a potential tool for PSM detection during PN. A clinical image atlas assembled from ex vivo renal biopsies provided diagnostically useful images of benign and malignant kidney, similar to permanent histopathology. VR-SIM was then used to image entire parenchymal margins of tumor resection covering up to >1800× more margin surface area than standard histology. Aided by the image atlas, the study pathologist correctly classified all parenchymal margins as negative for PSM with VR-SIM, compared to standard postoperative pathology. The ability to evaluate large surgical margins in a short time frame with VR-SIM may allow it to be used intraoperatively as a "safety net" for PSM detection, allowing more patients to undergo PN over RN.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  cancer; margin imaging; partial nephrectomy; renal cell carcinoma; structured illumination microscopy

Mesh:

Year:  2017        PMID: 28834287      PMCID: PMC5821599          DOI: 10.1002/jbio.201600328

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  24 in total

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10.  Prevalence and impact on survival of positive surgical margins in partial nephrectomy for renal cell carcinoma: a population-based study.

Authors:  Ifeanyi Ani; Antonio Finelli; Shabbir M H Alibhai; Narhari Timilshina; Neil Fleshner; Robert Abouassaly
Journal:  BJU Int       Date:  2013-01-10       Impact factor: 5.588

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