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Evaluation of MRI anatomy in machine learning predictive models to assess hydrogel spacer benefit for prostate cancer patients

Introduction: Hydrogel spacers (HS) are designed to minimise the radiation doses to the rectum in prostate cancer radiation therapy (RT) by creating a physical gap between the rectum and the target treatment volume inclusive of the prostate and seminal vesicles (SV). This study aims to determine the...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Madison Bush, Scott Jones, Catriona Hargrave
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2025-06-01
Schriftenreihe:Technical Innovations & Patient Support in Radiation Oncology
Schlagworte:
Radiation Therapy
Machine Learning
Toxicity Prediction
Dose Prediction
Hydrogel Spacer
Online-Zugang:http://www.sciencedirect.com/science/article/pii/S240563242500006X
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