ArticleFrontiers in oncology2020
Improving Structure Delineation for Radiation Therapy Planning Using Dual-Energy CT.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Role of Low-Energy Virtual Monoenergetic Images Derived From Dual-Energy Computed Tomography in Tumor Segmentation for Head and Neck Radiation Therapy: A Contouring Study.Advances in radiation oncology · 2026Article
- Combined single- and dual-energy CT workflow for dose calculation in radiotherapy.Acta oncologica (Stockholm, Sweden) · 2025Article
- Dual-energy computed tomography: pediatric considerations.Pediatric radiology · 2024Review
- Head and neck automatic multi-organ segmentation on Dual-Energy Computed Tomography.Physics and imaging in radiation oncology · 2024Article
- Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer.International journal of computer assisted radiology and surgery · 2024Article
- Survey on fan-beam computed tomography for radiotherapy: Imaging for dose calculation and delineation.Physics and imaging in radiation oncology · 2024Article
- From computed tomography innovation to routine clinical application in radiation oncology - A joint initiative of close collaboration.Physics and imaging in radiation oncology · 2024Article
- Split-filter dual energy computed tomography radiotherapy: From calibration to image guidance.Physics and imaging in radiation oncology · 2023Article
- Validation of deep learning-based CT image reconstruction for treatment planning.Scientific reports · 2023Article
- Clinical benefit of range uncertainty reduction in proton treatment planning based on dual-energy CT for neuro-oncological patients.The British journal of radiology · 2023Article
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9 authors.
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Abstract
purposeWe present the advantages of using dual-energy CT (DECT) for radiation therapy (RT) planning based on our clinical experience.
methodsDECT data acquired for 20 representative patients of different tumor sites and/or clinical situations with dual-source simultaneous scanning (Drive, Siemens) and single-source sequential scanning (Definition, Siemens) using 80 and 140-kVp X-ray beams were analyzed. The data were used to derive iodine maps, fat maps, and mono-energetic images (MEIs) from 40 to 190 keV to exploit the energy dependence of X-ray attenuation. The advantages of using these DECT-derived images for RT planning were investigated.
resultsWhen comparing 40 keV MEIs to conventional 120-kVp CT, soft tissue contrast between the duodenum and pancreatic head was enhanced by a factor of 2.8. For a cholangiocarcinoma patient, contrast between tumor and surrounding tissue was increased by 96 HU and contrast-to-noise ratio was increased by up to 60% for 40 keV MEIs compared to conventional CT. Simultaneous dual-source DECT also preserved spatial resolution in comparison to sequential DECT as evidenced by the identification of vasculature in a pancreas patient. Volume of artifacts for five patients with titanium implants was reduced by over 95% for 190 keV MEIs compared to 120-kVp CT images. A 367-cm
conclusionThe use of DECT for RT simulation offers clinically meaningful advantages through improved simulation workflow and enhanced structure delineation for RT planning.
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