Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy

Sci Rep. 2022 Dec 1;12(1):20713. doi: 10.1038/s41598-022-24973-1.

Abstract

The extracellular matrix (ECM) is amongst many tissue components affected by cancer, however, morphological changes of the ECM are not well-understood and thus, often omitted from diagnostic considerations. Polarimetric second-harmonic generation (P-SHG) microscopy allows for visualization and characterization of collagen ultrastructure in the ECM, aiding in better understanding of the changes induced by cancer throughout the tissue. In this paper, a large region of hematoxylin and eosin (H&E) stained human lung section, encompassing a tumor margin, connecting a significant tumor portion to normal tissue was imaged with P-SHG microscopy. The resulting polarimetric parameters were utilized in principal components analysis and unsupervised K-Means clustering to separate normal- and tumor-like tissue. Consequently, a pseudo-color map of the clustered tissue regions is generated to highlight the irregularity of the ECM collagen structure throughout the region of interest and to identify the tumor margin, in the absence of morphological characteristics of the cells.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Extracellular Matrix
  • Humans
  • Lung Neoplasms*
  • Margins of Excision
  • Second Harmonic Generation Microscopy*
  • Spectrum Analysis