Adapt-on-demand: A novel strategy for personalized adaptive radiation therapy for locally advanced lung cancer Journal Article


Authors: Li, R. Q.; Zhuang, T. L.; Montalvo, S.; Wang, K.; Parsons, D.; Zhang, Y. Y.; Iyengar, P.; Wang, J.; Godley, A.; Cai, B.; Lin, M. H.; Westover, K.
Article Title: Adapt-on-demand: A novel strategy for personalized adaptive radiation therapy for locally advanced lung cancer
Abstract: Purpose: Real-time adaptation of thoracic radiation plans is compelling because offline adaptive experiences show that tumor volumes and lung anatomy can change during therapy. We present and analyze a novel adaptive-on-demand (AOD) workflow combining online adaptive radiation therapy (o-ART) on the ETHOS system with image guided radiation therapy delivery on a Halcyon unit for conventional fractionated radiation therapy of locally advanced lung cancer (LALC). Methods and Materials: We analyzed 26 patients with LALC treated with the AOD workflow, adapting weekly. We timed segments of the workflow to evaluate efficiency in a real-world clinic. Target coverage and organ at risk (OAR) doses were compared between adaptive plans (ADP) and nonadaptive scheduled plans (SCH). Planning robustness was evaluated by the frequency of preplanning goals achieved in ADP plans, stratified by tumor volume change. Results: The AOD workflow was achievable within 30 minutes for most radiation fractions. Over the course of therapy, we observed an average 26.6% 23.3% reduction in internal target volume (ITV). Despite these changes, with o-ART, ITV and planning target volume (PTV) coverage (V100%) was 99.2% and 93.9% for all members of the cohort, respectively. This represented a 2.9% and 6.8% improvement over nonadaptive plans (P < .05), respectively. For tumors that grew >10%, V100% was 93.1% for o-ART and 76.4% for nonadaptive plans, representing a median 17.2% improvement in the PTV coverage (P < .05). In these plans, critical OAR constraints were met 94.1% of the time, whereas in nonadaptive plans, this figure was 81.9%. This represented reductions of 1.32 Gy, 1.34 Gy, or 1.75 Gy in the heart, esophagus, and lung, respectively. The effect was larger when tumors had shrunk more than 10%. Regardless of tumor volume alterations, the PTV/ITV coverage was achieved for all adaptive plans. Exceptional cases, where dose constraints were not met, were due Conclusions: The AOD workflow is efficient and robust in responding to anatomic changes in LALC patients, providing dosimetric advantages over standard therapy. Weekly adaptation was adequate to keep pace with changes. This approach is a feasible alternative to conventional offline replanning workflows for managing anatomy changes in LALC radiation therapy. (c) 2024 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.
Keywords: tumor volume; radiotherapy; tomography; regression
Journal Title: Practical Radiation Oncology
Volume: 14
Issue: 5
ISSN: 1879-8519
Publisher: Elsevier Inc.  
Date Published: 2024-09-01
Start Page: e395
End Page: e406
Language: English
ACCESSION: WOS:001313581400001
DOI: 10.1016/j.prro.2024.02.007
PROVIDER: wos
PUBMED: 38579986
Notes: Source: Wos
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  1. Puneeth Iyengar
    41 Iyengar