A machine-learning–based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies

Volume: 18, Issue: 4, Pages: 530 - 538
Published: Jul 1, 2019
Abstract
External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. There is a clinical need to identify patients at high risk for fistula formation such that treatment may be managed to prevent this toxic side effect. This work aims to develop a fistula prediction model...
Paper Details
Title
A machine-learning–based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies
Published Date
Jul 1, 2019
Volume
18
Issue
4
Pages
530 - 538
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.