ArticlePhysics and imaging in radiation oncology2022
Feasibility of artificial-intelligence-based synthetic computed tomography in a magnetic resonance-only radiotherapy workflow for brain radiotherapy: Two-way dose validation and 2D/2D kV-image-based positioning.
Article in Physics and imaging in radiation oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quality requirements for MRI simulation in cranial stereotactic radiotherapy: a guideline from the German Taskforce "Imaging in Stereotactic Radiotherapy".Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Guideline
- Evaluation-design effects and reference-CT-defined HU-class errors in brain MRI-to-CT synthesis on SynthRAD2023: a technical note.Radiological physics and technology · 2026Article
- Phantom benchmarking for quality assurance of synthetic computed tomography in cranial magnetic resonance-only radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Development of an MR-only radiotherapy treatment planning workflow using a commercial synthetic CT generator for brain and head & neck tumor patients.Zeitschrift fur medizinische Physik · 2026Article
- Dosimetric evaluation of magnetic resonance imaging based synthetic computed tomography for head and neck photon and proton therapy.Journal of applied clinical medical physics · 2025Article
- Clinical validation of using a commercial synthetic-computed tomography solution for brain MRI-only radiotherapy treatment planning.Technical innovations & patient support in radiation oncology · 2025Article
- Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.Journal of applied clinical medical physics · 2025Article
- Synthetic CT generation based on multi-sequence MR using CycleGAN for head and neck MRI-only planning.Biomedical engineering letters · 2024Article
- Evaluation of magnetic resonance imaging derived synthetic computed tomography for proton therapy planning in prostate cancer.Physics and imaging in radiation oncology · 2024Article
- "sCT-Feasibility" - a feasibility study for deep learning-based MRI-only brain radiotherapy.Radiation oncology (London, England) · 2024Article
- Comparison of four synthetic CT generators for brain and prostate MR-only workflow in radiotherapy.Radiation oncology (London, England) · 2023Article
- Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Article
- Synthetic computed tomography based dose calculation in prostate cancer patients with hip prostheses for magnetic resonance imaging-only radiotherapy.Physics and imaging in radiation oncology · 2023Article
- Cone beam computed tomography image guidance within a magnetic resonance imaging-only planning workflow.Physics and imaging in radiation oncology · 2023Article
- Synthetic computed tomography for low-field magnetic resonance-guided radiotherapy in the abdomen.Physics and imaging in radiation oncology · 2022Article
Corrections and comments
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: Magnetic Resonance Imaging (MRI)-only workflow eliminates the MRI-computed tomography (CT) registration inaccuracy, which degrades radiotherapy (RT) treatment accuracy. For an MRI-only workflow MRI sequences need to be converted to synthetic-CT (sCT). The purpose of this study was to evaluate a commercially available artificial intelligence (AI)-based sCT generation for dose calculation and 2D/2D kV-image daily positioning for brain RT workflow. Materials and methods: T1-VIBE DIXON was acquired at the 1.5 T MRI for 26 patients in RT setup for sCTs generation. For each patient, a volumetric modulated arc therapy (VMAT) plan was optimized on the CT, then recalculated on the sCT; and vice versa. sCT-based digitally reconstructed radiographs (DRRs) were fused with stereoscopic X-ray images recorded as image guidance for clinical treatments. Dosimetric differences between planned/recalculated doses and the differences between the calculated and recorded clinical couch shift/rotation were evaluated. Results: Mean ΔD Conclusions: This in-silico study showed that the AI-based sCT provided equivalent results to the CT for dose calculation and daily stereoscopic X-ray positioning when using an optimal RT setup during MRI acquisition.
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