Retrospective clinical evaluation of a decision-support software for adaptive radiotherapy of Head & Neck cancer patients

Purpose: To evaluate the clinical need for automated decision-support platforms for Adaptive Radiotherapy Therapy (ART) of Head & Neck cancer (HNC) patients. Methods: We tested RTapp (SegAna), a new decision-support software for ART, to investigate 22 HNC patients data retrospectively. For each...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2021-10
Main Authors: Gros, Sébastien A A, Santhanam, Anand P, Block, Alec M, Emami, Bahman, Lee, Brian H, Joyce, Cara
Format: Article
Language:English
Subjects:
Adaptation
Algorithms
Cancer
Confidence intervals
Decision support systems
Dosimetry
Head & neck cancer
Prediction models
Predictions
Radiation therapy
Software
Trends
Workflow
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Purpose: To evaluate the clinical need for automated decision-support platforms for Adaptive Radiotherapy Therapy (ART) of Head & Neck cancer (HNC) patients. Methods: We tested RTapp (SegAna), a new decision-support software for ART, to investigate 22 HNC patients data retrospectively. For each fraction, RTapp estimated the daily and cumulative doses received by targets and OARs from daily 3D imaging in real-time. RTapp also included a prediction algorithm that analyzed dosimetric parameters (DP) trends against dosimetric endpoints (DE) to trigger adaptation up to 4 fractions ahead. Warning (V95
ISSN:2331-8422