Purpose: To investigate a new automatic template-based replanning approach combined with constrained optimization, which may be highly useful for a rapid plan transfer for planned or unplanned machine breakdowns. This approach was tested for prostate cancer (PC) and head-and-neck cancer (HNC) cases.
Methods: The constraints of a previously optimized volumetric modulated arc therapy (VMAT) plan were used as a template for automatic plan reoptimization for different accelerator head models. All plans were generated using the treatment planning system (TPS) Hyperion. Automatic replanning was performed for 16 PC cases, initially planned for MLC1 (4 mm MLC) and reoptimized for MLC2 (5 mm) and MLC3 (10 mm) and for 19 HNC cases, replanned from MLC2 to MLC3. EUD, D, D, and D were evaluated for targets; for OARs EUD and D were analyzed. Replanning was considered successful if both plans fulfilled equal constraints.
Results: All prostate cases were successfully replanned. The mean relative target EUD deviation was -0.15% and -0.57% for replanning to MLC2 and MLC3, respectively. OAR sparing was successful in all cases. Replanning of HNC cases from MLC2 to MLC3 was successful in 16/19 patients with a mean decrease of -0.64% in PTV60 EUD. In three cases target doses were substantially decreased by up to -2.58% (PTV60) and -3.44% (PTV54), respectively. Nevertheless, OAR sparing was always achieved as planned.
Conclusions: Automatic replanning of VMAT plans for a different treatment machine by using pre-existing constraints as a template for a reoptimization is feasible and successful in terms of equal constraints.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00066-018-1319-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Clinical feasibility of Ethos auto-segmentation for adaptive whole-breast cancer treatment.
Front Oncol
December 2024
Radiotherapy Department, Montpellier Regional Cancer Institute, Montpellier, France.
Introduction: Following a preliminary work validating the technological feasibility of an adaptive workflow with Ethos for whole-breast cancer, this study aims to clinically evaluate the automatic segmentation generated by Ethos.
Material And Methods: Twenty patients initially treated on a TrueBeam accelerator for different breast cancer indications (right/left, lumpectomy/mastectomy) were replanned using the Ethos emulator. The adaptive workflow was performed using 5 randomly selected extended CBCTs per patient.
Assessing population-based to personalized planning strategies for head and neck adaptive radiotherapy.
J Appl Clin Med Phys
December 2024
Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Purpose: Optimal head-and-neck cancer (HNC) treatment planning requires accurate and feasible planning goals to meet dosimetric constraints and generate robust online adaptive treatment plans. A new x-ray-based adaptive radiotherapy (ART) treatment planning system (TPS) version 2.0 emulator includes novel methods to drive the planning process including the revised intelligent optimization engine algorithm (IOE2).
View Article and Find Full Text PDFRetrospective Comparison of Geometrical Accuracy among Atlas-based Auto-segmentation, Deep Learning Auto-segmentation, and Deformable Image Registration in the Treatment Replanning for Adaptive Radiotherapy of Head-and-Neck Cancer.
J Med Phys
September 2024
Department of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuou-ku, Osaka City, Osaka, 541-8567, Japan.
Article Synopsis
- The study assessed the accuracy of different segmentation methods in adaptive radiotherapy for head-and-neck cancer, specifically focusing on atlas-based auto-segmentation (ABAS), deformable image registration (DIR), and deep learning auto-segmentation (DLAS).
- Seventeen patients were examined, using various datasets for the segmentation methods, including an atlas of 30 patients for ABAS and a training set of 143 for DLAS.
- Results showed that DIR provided the highest accuracy in delineating organs at risk, while mABAS slightly outperformed standard ABAS; no significant accuracy differences were found between ABAS and DLAS, indicating DIR as the best method overall.
Cone-Beam CT Images as an Indicator of QACT During Adaptive Proton Therapy of Extremity Sarcomas.
Int J Part Ther
June 2024
Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 21201.
Purpose: Periodic quality assurance CTs (QACTs) are routine in proton beam therapy. In this study, we tested whether the necessity for a QACT could be determined by evaluating the change in beam path length (BPL) on daily cone-beam CT (CBCT).
Patients And Methods: In this Institutional Review Board-approved study, we retrospectively analyzed 959 CBCT images from 78 patients with sarcomas treated with proton pencil-beam scanning.
Evaluation of Ethos intelligent optimization engine for left locally advanced breast cancer.
Front Oncol
July 2024
Radiotherapy Department, Montpellier Regional Cancer Institute, Montpellier, France.
Purpose: To evaluate the feasibility to use a standard Ethos planning template to treat left-sided breast cancer with regional lymph nodes.
Material/methods: The tuning cohort of 5 patients was used to create a planning template. The validation cohort included 15 patients treated for a locally advanced left breast cancer randomly enrolled.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!