Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning Approach

Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning Approach

Background: During RT cycles, the tumor response pattern could affect tumor coverage and may lead to organs at risk of overdose. As such, early prediction of significant volumetric changes could therefore reduce potential radiation-related adverse effects. Nevertheless, effective machine learning ap...

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Bibliographic Details
Main Authors: Vasiliki Iliadou, Ioannis Kakkos, Pantelis Karaiskos, Vassilis Kouloulias, Kalliopi Platoni, Anna Zygogianni, George K. Matsopoulos
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Cancers
Subjects:
head and neck cancer
radiation therapy
machine learning
CBCT
early prediction
Online Access:https://www.mdpi.com/2072-6694/14/15/3573

Internet

https://www.mdpi.com/2072-6694/14/15/3573

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