ArticlePhysics and imaging in radiation oncology2023
Evaluating synthetic computed tomography images for adaptive radiotherapy decision making in head and neck cancer.
Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 12 citations in OpenAlex.
- Towards adaptive radiotherapy: Comparing HyperSight and standard CBCT reconstructions on a C-Arm Linac.Journal of applied clinical medical physics · 2026Article
- Equivariant conditional diffusion model for head and neck CT image synthesis from CBCT.Medical physics · 2026Article
- Evaluating synthetic CT from deformable registration in directed adaptive radiotherapy for head and neck cancer.Journal of applied clinical medical physics · 2026Article
- Comprehensive evaluation of a deep learning-based synthetic CT model for MR-only radiotherapy across multiple anatomical sites.Physics and imaging in radiation oncology · 2026Article
- Radiosensitivity Prediction of Tumor Patient Based on Deep Fusion of Pathological Images and Genomics.Bioengineering (Basel, Switzerland) · 2026Article
- A planning approach for online adaptive proton therapy to cope with cone beam computed tomography inaccuracies.Physics and imaging in radiation oncology · 2025Article
- Comparing methods to improve cone-beam computed tomography for dose calculations in adaptive proton therapy.Physics and imaging in radiation oncology · 2025Article
- Optimal timing of organs-at-risk-sparing adaptive radiation therapy for head-and-neck cancer under re-planning resource constraints.Physics and imaging in radiation oncology · 2025Article
- Quality of density deformations in patient anatomy during synthetic CT guided online adaptive radiation therapy for pelvic cancer.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025Article
- Optimal Timing of Organs-at-Risk-Sparing Adaptive Radiation Therapy for Head- and-Neck Cancer under Re-planning Resource Constraints.medRxiv : the preprint server for health sciences · 2024Article
- A treatment-site-specific evaluation of commercial synthetic computed tomography solutions for proton therapy.Physics and imaging in radiation oncology · 2024Article
- Evaluation of a cone-beam computed tomography system calibrated for accurate radiotherapy dose calculation.Physics and imaging in radiation oncology · 2024Article
- Current and future developments of synthetic computed tomography generation for radiotherapy.Physics and imaging in radiation oncology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: Adaptive radiotherapy (ART) decision-making benefits from dosimetric information to supplement image inspection when assessing the significance of anatomical changes. This study evaluated a dosimetry-based clinical decision workflow for ART utilizing deformable registration of the original planning computed tomography (CT) image to the daily Cone Beam CT (CBCT) to replace the need for a replan CT for dose estimation. Materials and methods: We used 12 retrospective Head & Neck patient cases having a ground truth - a replan CT (rCT) in response to anatomical changes apparent in the daily CBCT - to evaluate the accuracy of dosimetric assessment conducted on synthetic CTs (sCT) generated by deforming the original planning CT Hounsfield Units to the daily CBCT anatomy.The original plan was applied to the sCT and dosimetric accuracy of the sCT was assessed by analyzing plan objectives for targets and organs-at-risk compared to calculations on the ground-truth rCT. Three commercial DIR algorithms were compared. Results: For the best-performing algorithms, the majority of dose metrics calculated on the sCTs differed by less than 4 Gy (5.7% of 70 Gy prescription dose). An uncertainty of ±2.5 Gy (3.6% of 70 Gy prescription) is recommended as a conservative tolerance when evaluating dose metrics on sCTs for head and neck. Conclusions: Synthetic CTs present a valuable addition to the adaptive radiotherapy workflow, and synthetic CT dose estimates can be effectively used in addition to the current practice of visually inspecting the overlay of the planning CT and CBCT to assess the significance of anatomical change.
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