ArticleRadiation oncology (London, England)2016
Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images.
Article in Radiation oncology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy.Frontiers in radiology · 2024Pooled it
- Offline Plan Adaptation in Robustly Optimized CBCT-Guided Pencil Beam Scanning Proton Beam Therapy: Lessons From a Real-World Cohort.Advances in radiation oncology · 2026Article
- Enhancing CBCT-based CT synthesis using planning MRI in adaptive proton therapy for head cancer: A deep learning approach.Journal of applied clinical medical physics · 2025Article
- Optimizing QACT Frequency in Proton Therapy: Analysis of Standard Guidelines Across Treatment Sites.International journal of particle therapy · 2025Article
- Optimizing quality assurance CT schedules during adaptive proton therapy for enhanced patient care.Journal of applied clinical medical physics · 2025Article
- A planning approach for online adaptive proton therapy to cope with cone beam computed tomography inaccuracies.Physics and imaging in radiation oncology · 2025Article
- Cone-Beam CT Images as an Indicator of QACT During Adaptive Proton Therapy of Extremity Sarcomas.International journal of particle therapy · 2024Article
- Uncertainty estimation- and attention-based semi-supervised models for automatically delineate clinical target volume in CBCT images of breast cancer.Radiation oncology (London, England) · 2024Article
- Cone beam CT-based adaptive intensity modulated proton therapy assessment using automated planning for head-and-neck cancer.Radiation oncology (London, England) · 2024Article
- Online adaptive planning methods for intensity-modulated radiotherapy.Physics in medicine and biology · 2023Review
- Large anatomical changes in head-and-neck cancers - A dosimetric comparison of online and offline adaptive proton therapy.Clinical and translational radiation oncology · 2023Article
- CBCT-to-CT Translation Using Registration-Based Generative Adversarial Networks in Patients with Head and Neck Cancer.Cancers · 2023Article
- Dosimetric impact of adaptive proton therapy in head and neck cancer - A review.Clinical and translational radiation oncology · 2023Review
- Optically stimulated luminescence dosimeters for simultaneous measurement of point dose and dose-weighted LET in an adaptive proton therapy workflow.Frontiers in oncology · 2023Article
- Low-Dose Computed Tomography Scanning Protocols for Online Adaptive Proton Therapy of Head-and-Neck Cancers.Cancers · 2022Article
- Onboard cone-beam CT-based replan evaluation for head and neck proton therapy.Journal of applied clinical medical physics · 2022Article
- Evaluating principal component analysis models for representing anatomical changes in head and neck radiotherapy.Physics and imaging in radiation oncology · 2022Article
- Localization of anatomical changes in patients during proton therapy with in-beam PET monitoring: A voxel-based morphometry approach exploiting Monte Carlo simulations.Medical physics · 2022Article
- Adaptive proton therapy.Physics in medicine and biology · 2021Review
- Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy.Physics in medicine and biology · 2021Article
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8 authors.
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Abstract
backgroundIntensity modulated proton therapy (IMPT) of head and neck (H&N) tumors may benefit from plan adaptation to correct for the dose perturbations caused by weight loss and tumor volume changes observed in these patients. As cone beam CT (CBCT) is increasingly considered in proton therapy, it may be possible to use available CBCT images following intensity correction for plan adaptation. This is the first study exploring IMPT plan adaptation on CBCT images corrected and delineated by deformable image registration of the planning CT (pCT) to the CBCT, yielding a virtual CT (vCT).
methodsA Morphons algorithm was used to deform the pCTs and corresponding delineations of 9 H&N cancer patients to a weekly CBCT acquired within ±3 days of a control replanning CT scan (rpCT). The IMPT treatment plans were adapted using the vCT and the adapted and original plans were recalculated on the rpCT for dose/volume parameter evaluation of the impact of adaptation.
resultsOn the rpCT, the adapted plans were equivalent to the original plans in terms of target volumes D 95 and V 95, but showed a significant reduction of D 2 in these volumes. OAR doses were mostly equivalent or reduced. In particular, the adapted plans did not reduce parotid gland D mean, but the dose to the optical system. For three patients the spinal cord or brain stem received higher, though well below tolerance, maximum dose. Subsequent tightening of the treatment planning constraints for these OARs on new vCT-adapted plans did not degrade target coverage and yielded pCT equivalent plans on the vCT.
conclusionsAn offline automated procedure to generate an adapted IMPT plan on CBCT images was developed and investigated. When evaluating the adapted plan on a control rpCT we observed reduced D 2 in target volumes as major improvement. OAR sparing was only partially improved by the procedure. Despite potential limitations in the accuracy of the vCT approach, an improved quality of the adapted plans could be achieved.
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