Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapy.

Journal: Journal of applied clinical medical physics
Published Date: Sep 1, 2018

Abstract

BACKGROUND AND PURPOSE: Chest wall toxicity is observed after stereotactic body radiation therapy (SBRT) for peripherally located lung tumors. We utilize machine learning algorithms to identify toxicity predictors to develop dose-volume constraints.

Authors

  • Hann-Hsiang Chao
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA.
  • Gilmer Valdes
    Department of Radiation Oncology, University of California, San Francisco, California.
  • Jose M Luna
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA.
  • Marina Heskel
  • Abigail T Berman
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA.
  • Timothy D Solberg
    U.S. Food and Drug Administration, Silver Spring, Maryland.
  • Charles B Simone
    Department of Radiation Oncology, University of Maryland Medical Center.

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