Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non–Small Cell Lung Cancer

Abstract

The presence of a high degree of tumor-infiltrating lymphocytes (TIL) has been proven to be associated with outcome in patients with non–small cell lung cancer (NSCLC). However, recent evidence indicates that tissue architecture is also prognostic of disease-specific survival and recurrence. We show a set of descriptors (spatial TIL, SpaTIL) that capture density, and spatial colocalization of TILs and tumor cells across digital images that can predict likelihood of recurrence in early-stage NSCLC.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 01, 2019
Source ID
10.1158/1078-0432.ccr-18-2013

Entities

People

  • Anant Madabhushi
  • Cheng Lu
  • David L Rimm
  • Eduardo Romero
  • Germán Corredor
  • Konstantinos Syrigos
  • Kurt A. Schalper
  • Michael Yang
  • Pingfu Fu
  • Vamsidhar Velcheti
  • Xiangxue Wang
  • Yu Zhou

Organizations

  • Case Western Reserve University
  • Cleveland Clinic
  • National Center for Research Resources
  • National Institutes of Health
  • National and Kapodistrian University of Athens
  • UH Cleveland Medical Center
  • United States Department of Defense
  • Yale University

Tags

Readers

  • Computer Vision.
  • Oncology
  • Oncology (Cancer Research).