ReviewThe British journal of radiology2020
Status and innovations in pre-treatment CT imaging for proton therapy.
Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Deep learning-based generation of direct stopping power ratio maps for MR-only proton therapy of primary brain tumor patients.Physics and imaging in radiation oncology · 2026Article
- Dual-energy CT for proton therapy: Impact of advanced slice-wise patient-thickness estimation methods for improved stopping-power prediction.Journal of applied clinical medical physics · 2026Article
- Proton therapy range uncertainty reduction using vendor-agnostic tissue characterization on a virtual photon-counting CT head scan.Medical physics · 2026Article
- Assessing accuracy and artefacts in proton stopping power ratio images across four computed tomography imaging workflows using a head-sized electron density phantom.Radiation protection dosimetry · 2026Article
- Photon-counting computed tomography for stopping power ratio prediction in proton therapy.Medical physics · 2025Article
- Insights from initial experience for nasopharyngeal carcinoma patients treated with proton therapy.Technical innovations & patient support in radiation oncology · 2025Article
- From computed tomography innovation to routine clinical application in radiation oncology - A joint initiative of close collaboration.Physics and imaging in radiation oncology · 2024Article
- Robustness and dosimetric verification of hippocampal-sparing craniospinal pencil beam scanning proton plans for pediatric medulloblastoma.Physics and imaging in radiation oncology · 2024Article
- Survey on fan-beam computed tomography for radiotherapy: Imaging for dose calculation and delineation.Physics and imaging in radiation oncology · 2024Article
- Effects of modern aesthetic dental fillings on proton therapy.Physics and imaging in radiation oncology · 2024Article
- Dual-energy CT-based stopping power prediction for dental materials in particle therapy.Journal of applied clinical medical physics · 2023Article
- Consensus guide on CT-based prediction of stopping-power ratio using a Hounsfield look-up table for proton therapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023Article
- Impact of beam-hardening corrections on proton relative stopping power estimates from single- and dual-energy CT.Journal of applied clinical medical physics · 2022Article
- Towards subpercentage uncertainty proton stopping-power mapping via dual-energy CT: Direct experimental validation and uncertainty analysis of a statistical iterative image reconstruction method.Medical physics · 2022Article
- Review
- Assessment of quantitative information for radiation therapy at a first-generation clinical photon-counting computed tomography scanner.Frontiers in oncology · 2022Article
- Dual-layer spectral CT for proton, helium, and carbon ion beam therapy planning of brain tumors.Journal of applied clinical medical physics · 2022Article
- Improving radiation physics, tumor visualisation, and treatment quantification in radiotherapy with spectral or dual-energy CT.Journal of applied clinical medical physics · 2022Review
- Potential of a Second-Generation Dual-Layer Spectral CT for Dose Calculation in Particle Therapy Treatment Planning.Frontiers in oncology · 2022Article
- The accuracy of helium ion CT based particle therapy range prediction: an experimental study comparing different particle and x-ray CT modalities.Physics in medicine and biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pre-treatment CT imaging is a topic of growing importance in particle therapy. Improvements in the accuracy of stopping-power prediction are demanded to allow for a dose conformality that is not inferior to state-of-the-art image-guided photon therapy. Although range uncertainty has been kept practically constant over the last decades, recent technological and methodological developments, like the clinical application of dual-energy CT, have been introduced or arise at least on the horizon to improve the accuracy and precision of range prediction. This review gives an overview of the current status, summarizes the innovations in dual-energy CT and its potential impact on the field as well as potential alternative technologies for stopping-power prediction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.