A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapy.

Journal: Medical physics
PMID: 35229311

Abstract

PURPOSE: Recent studies have shown that severe depletion of the absolute lymphocyte count (ALC) induced by radiation therapy (RT) has been associated with poor overall survival of patients with many solid tumors. In this paper, we aimed to predict radiation-induced lymphocyte depletion in esophageal cancer patients during the course of RT based on patient characteristics and dosimetric features.

Authors

  • Saba Ebrahimi
    Department of Industrial Engineering, University of Houston, Houston, Texas, USA.
  • Gino Lim
    Department of Industrial Engineering, University of Houston, Houston, Texas, USA.
  • Brian P Hobbs
    Department of Quantitative Health Sciences and.
  • Steven H Lin
  • Radhe Mohan
  • Wenhua Cao
    Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

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