ArticlePhysics and imaging in radiation oncology2023
Clinical evaluation of synthetic computed tomography methods in adaptive proton therapy of lung cancer patients.
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 22 papers.
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Who cites it
22 citing papers in PubMed.
- Daily image-guided carbon ion stereotactic radiotherapy of hepatocellular carcinoma: paving the way for MR-guided online adaptive treatment.Radiation oncology (London, England) · 2026Article
- Quantitative stability of CT numbers in novel cone-beam CT: An intra-institution cross-scanner and longitudinal analysis.Journal of applied clinical medical physics · 2026Article
- Commissioning and clinical implementation of Monaco treatment planning system on a compact pencil beam scanning proton therapy system.Journal of applied clinical medical physics · 2026Article
- Case Report: Proton Therapy of a Pregnant Patient With Small-Cell Lung Cancer in the Third Trimester Using Synthetic Computed Tomographies for Tumor Monitoring.Advances in radiation oncology · 2026Article
- Maintaining quality of scientific peer-review and publishing inPhysics and imaging in radiation oncology · 2026Article
- Optimizing QACT Frequency in Proton Therapy: Analysis of Standard Guidelines Across Treatment Sites.International journal of particle therapy · 2025Article
- Deep Learning for CT Synthesis in Radiotherapy.Bioengineering (Basel, Switzerland) · 2025Review
- Interfractional body surface monitoring using daily cone-beam computed tomography imaging for pediatric 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
- New guidelines and recommendations to advance treatment planning in proton therapy.Physics and imaging in radiation oncology · 2025Article
- Adaptive treatment margins to reduce organs at risk dose in patients with no or minimal anatomical changes in radiotherapy of non-small cell lung cancer.Physics and imaging in radiation oncology · 2025Article
- Unsupervised Deep Learning for Synthetic CT Generation from CBCT Images for Proton and Carbon Ion Therapy for Paediatric Patients.Sensors (Basel, Switzerland) · 2024Article
- 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
- Comparing different boost concepts and beam configurations for proton therapy of pancreatic cancer.Physics and imaging in radiation oncology · 2024Article
- A review of the clinical introduction of 4D particle therapy research concepts.Physics and imaging in radiation oncology · 2024Review
- Article
- Current and future developments of synthetic computed tomography generation for radiotherapy.Physics and imaging in radiation oncology · 2023Article
- CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy.Cancers · 2023Article
- Evaluating synthetic computed tomography images for adaptive radiotherapy decision making in head and neck cancer.Physics and imaging in radiation oncology · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: Efficient workflows for adaptive proton therapy are of high importance. This study evaluated the possibility to replace repeat-CTs (reCTs) with synthetic CTs (sCTs), created based on cone-beam CTs (CBCTs), for flagging the need of plan adaptations in intensity-modulated proton therapy (IMPT) treatment of lung cancer patients. Materials and methods: Forty-two IMPT patients were retrospectively included. For each patient, one CBCT and a same-day reCT were included. Two commercial sCT methods were applied; one based on CBCT number correction (Cor-sCT), and one based on deformable image registration (DIR-sCT). The clinical reCT workflow (deformable contour propagation and robust dose re-computation) was performed on the reCT as well as the two sCTs. The deformed target contours on the reCT/sCTs were checked by radiation oncologists and edited if needed. A dose-volume-histogram triggered plan adaptation method was compared between the reCT and the sCTs; patients needing a plan adaptation on the reCT but not on the sCT were denoted false negatives. As secondary evaluation, dose-volume-histogram comparison and gamma analysis (2%/2mm) were performed between the reCT and sCTs. Results: There were five false negatives, two for Cor-sCT and three for DIR-sCT. However, three of these were only minor, and one was caused by tumour position differences between the reCT and CBCT and not by sCT quality issues. An average gamma pass rate of 93% was obtained for both sCT methods. Conclusion: Both sCT methods were judged to be of clinical quality and valuable for reducing the amount of reCT acquisitions.
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