Related Experiment Video
Updated: Jul 2, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
Exploring the Need for Plan Adaptation in Robustly Optimised Head and Neck Intensity Modulated Proton Therapy: A
V Raveendran1, S Sinha1, P Mukherjee1
1Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer, Homi Bhabha National Institute, Mumbai, Maharashtra, 410210, India.
Adaptive proton therapy (APT) for head and neck cancer is feasible, with 68% of patients requiring plan adaptation due to weight loss and anatomical changes. Workflow improvements reduced adaptation needs, offering insights for optimizing APT protocols.
Area of Science:
- Radiation Oncology
- Medical Physics
- Oncology
Background:
- Intensity-modulated proton therapy (IMPT) offers precise dose delivery for head and neck (HN) cancers.
- Adaptive proton therapy (APT) aims to account for anatomical changes during treatment.
- Early clinical experience with APT in HN cancer requires detailed dosimetric analysis.
Purpose of the Study:
- To evaluate the clinical feasibility and dosimetric outcomes of APT in HN cancer patients treated with IMPT.
- To identify factors driving the need for plan adaptation and their dosimetric impact.
- To explore strategies for mitigating treatment uncertainties and optimizing APT workflows.
Main Methods:
- Retrospective analysis of the first 25 locally advanced HN cancer patients treated with IMPT.
- Cone-beam CT (CBCT) used for treatment verification and triggering adaptive replanning.
- Dosimetric analysis of target coverage, OAR doses, and anatomical changes; evaluation of anatomical robust optimization (ARO).
Main Results:
- A 68% adaptation rate was observed, primarily due to weight loss and postoperative changes.
- Adaptations were mainly triggered by target coverage issues, occurring later in treatment.
- Patient-specific ARO and workflow refinements reduced adaptation frequency by 46% in a subsequent cohort.
Conclusions:
- CBCT-triggered adaptive IMPT is feasible for HN cancer but resource-intensive.
- Systematic dosimetric evaluation during implementation is crucial for anticipating uncertainties.
- Proactive replanning protocols and workflow optimization are essential for efficient APT resource allocation.
More Related Videos
08:25Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
Published on: April 11, 2018
07:57Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022