ReviewJournal of medical physics
Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning.
Review in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- Dosimetric evaluation of synthetic CT for magnetic resonance-only based radiotherapy planning of lung cancer.Radiation oncology (London, England) · 2017Trial
- Reduction of CT number location dependency using photon-counting detector CT and virtual monoenergetic imaging.Physics in medicine and biology · 2026Article
- ART workflow based on CBCT and end-to-end clinical dynamic phantom validation.BMC medical imaging · 2026Article
- Impact of discrepancies between CT numbers of brain-tissue-equivalent density plug and actual brain tissue on dose calculation accuracy.Radiological physics and technology · 2025Article
- Accuracy of the Hounsfield Unit Values Measured by Implant Planning Software.Dentistry journal · 2024Article
- Diagnosis of Osteoporosis by Quantifying Volumetric Bone Mineral Density of Lumbar Vertebrae Using Abdominal CT Images and Two-Compartment Model.Healthcare (Basel, Switzerland) · 2023Article
- Towards Accurate and Precise Image-Guided Radiotherapy: Clinical Applications of the MR-Linac.Journal of clinical medicine · 2022Review
- Improved accuracy of relative electron density and proton stopping power ratio through CycleGAN machine learning.Physics in medicine and biology · 2022Article
- The effect of variations in CT scan protocol on femoral finite element failure load assessment using phantomless calibration.PloS one · 2022Article
- Implementation and experimental evaluation of Mega-voltage fan-beam CT using a linear accelerator.Radiation oncology (London, England) · 2021Article
- An efficient planning technique for low dose whole lung radiation therapy for covid-19 pandemic patients.Physics and imaging in radiation oncology · 2020Article
- Measurement of radiation attenuation parameters of modified defatted soy flour-soy protein isolate-based mangrove wood particleboards to be used for CT phantom production.Radiation and environmental biophysics · 2020Article
- Role and future of MRI in radiation oncology.The British journal of radiology · 2019Review
- Emerging role of MRI in radiation therapy.Journal of magnetic resonance imaging : JMRI · 2018Review
- The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations.Physics and imaging in radiation oncology · 2018Article
- Hematoma Segmentation Using Dilated Convolutional Neural Network.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018Article
- Dosimetric impact of gastrointestinal air column in radiation treatment of pancreatic cancer.The British journal of radiology · 2018Article
- Dosimetric evaluation of magnetic resonance-generated synthetic CT for radiation treatment of rectal cancer.PloS one · 2018Article
- Investigation of the Effect of Calibration Curves Obtained from Different Computed Tomography Devices on the Dose Distribution of Tomotherapy Plans.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern treatment planning systems provide accurate dosimetry in heterogeneous media (such as a patient' body) with the help of tissue characterization based on computed tomography (CT) number. However, CT number depends on the type of scanner, tube voltage, field of view (FOV), reconstruction algorithm including artifact reduction and processing filters. The impact of these parameters on CT to electron density (ED) conversion had been subject of investigation for treatment planning in various clinical situations. This is usually performed with a tissue characterization phantom with various density plugs acquired with different tube voltages (kilovoltage peak), FOV reconstruction and different scanners to generate CT number to ED tables. This article provides an overview of inhomogeneity correction in the context of CT scanning and a new evaluation tool, difference volume dose-volume histogram (DVH), dV-DVH. It has been concluded that scanner and CT parameters are important for tissue characterizations, but changes in ED are minimal and only pronounced for higher density materials. For lungs, changes in CT number are minimal among scanners and CT parameters. Dosimetric differences for lung and prostate cases are usually insignificant (<2%) in three-dimensional conformal radiation therapy and < 5% for intensity-modulated radiation therapy (IMRT) with CT parameters. It could be concluded that CT number variability is dependent on acquisition parameters, but its dosimetric impact is pronounced only in high-density media and possibly in IMRT. In view of such small dosimetric changes in low-density medium, the acquisition of additional CT data for financially difficult clinics and countries may not be warranted.
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