CBCT-based online adaptive radiotherapy for head and neck cancer - dosimetric evaluation of first clinical experience
Research output: Contribution to journal › Journal article › Research › peer-review
Clinical experience with online adaptive radiotherapy (oART) for head-and-neck (H&N) cancer is still limited, and an improved understanding of the process, risks, and benefits is needed to move forward [Citation1]. Added complexity is introduced to the treatment workflow, including deformable image registration (DIR) processes, automated contouring and online re-optimization, and quality assessment (QA) methods [Citation2]. Rapid online dose calculation is required and is in the presented clinical workflow based on the DIR of the planning CT to the anatomy of daily CBCTs. Dosimetric uncertainty as a result of suboptimal DIR should be quantified as part of safety assessment, and challenges are expected to be diagnosis/site-specific [Citation3]. In the current work, our institution’s first clinical experience with oART for H&N cancer is presented. The focus is on the dosimetric effect of uncertainty in the DIR/synthetic CT generation, as well as the dosimetric difference between the daily adapted plans and the original plan.
Original language | English |
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Journal | Acta oncologica (Stockholm, Sweden) |
Volume | 62 |
Issue number | 11 |
Pages (from-to) | 1369-1374 |
Number of pages | 6 |
ISSN | 1100-1704 |
DOIs | |
Publication status | Published - 2023 |
- Humans, Spiral Cone-Beam Computed Tomography, Head and Neck Neoplasms, Radiometry, Radiotherapy Planning, Computer-Assisted, Radiotherapy Dosage, Cone-Beam Computed Tomography, Radiotherapy, Intensity-Modulated
Research areas
ID: 387697517