Partial nephrectomy margin imaging using structured illumination microscopy

J Biophotonics. 2018 Mar;11(3):10.1002/jbio.201600328. doi: 10.1002/jbio.201600328. Epub 2017 Oct 5.

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.

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

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Humans
  • Image Processing, Computer-Assisted
  • Intracellular Space / metabolism
  • Kidney Neoplasms / diagnostic imaging
  • Kidney Neoplasms / pathology
  • Kidney Neoplasms / surgery
  • Microscopy*
  • Nephrectomy / methods*
  • Surgery, Computer-Assisted / methods*