ArticleCancers2018
Automated Knowledge-Based Intensity-Modulated Proton Planning: An International Multicenter Benchmarking Study.
Article in Cancers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Validation of automated script-based proton therapy optimisation for comparative head and neck planning.Physics and imaging in radiation oncology · 2026Article
- Systematic comparison of manual, knowledge-based, and feasibility DVH approaches for prostate VMAT: stability and robustness.Physical and engineering sciences in medicine · 2026Article
- Review
- Deliverable proton conformal FLASH radiotherapy treatment planning for head and neck re-irradiation patients.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2026Article
- Knowledge-based planning for intensity-modulated proton therapy of the breast and chest wall with regional lymph nodes: development, validation, and comparative evaluation of two models.Frontiers in oncology · 2026Article
- Article
- Article
- Three-dimensional dose and LETMedical physics · 2022Article
- Influence of Beam Angle on Normal Tissue Complication Probability of Knowledge-Based Head and Neck Cancer Proton Planning.Cancers · 2022Article
- Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Article
- Knowledge-Based Planning for Robustly Optimized Intensity-Modulated Proton Therapy of Head and Neck Cancer Patients.Frontiers in oncology · 2021Article
- Assessment of Knowledge-Based Planning for Prostate Intensity Modulated Proton Therapy.International journal of particle therapy · 2021Article
- Treatment planning for proton therapy: what is needed in the next 10 years?The British journal of radiology · 2020Review
- Evaluation of an Automated Proton Planning Solution.Cureus · 2018Article
- Fast, Automated, Knowledge-Based Treatment Planning for Selecting Patients for Proton Therapy Based on Normal Tissue Complication Probabilities.Advances in radiation oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.