ReviewThe British journal of radiology2018
Automation in intensity modulated radiotherapy treatment planning-a review of recent innovations.
Review in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.
What it found
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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.
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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
124 citing papers in PubMed.
- Radiotherapy quality assurance for mesorectum treatment planning within the multi-center phase II STAR-TReC trial: Dutch results.Radiation oncology (London, England) · 2020Trial
- Clinical implementation of automated IMRT/VMAT planning for lung cancer radiation therapy using the expedited constrained hierarchical optimization (ECHO) system.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2026Article
- Improving deep-learning IMRT plan quality for lymphoma using deliverability-aware training.Journal of applied clinical medical physics · 2026Article
- Methods and evidence in economic evaluations of modern radiotherapy: a systematic mapping review protocol.BMJ open · 2026Article
- A rule-based, feedback-driven framework for fully automated prostate VMAT planning.Journal of applied clinical medical physics · 2026Article
- Artificial Intelligence in Particle Therapy Treatment Planning: Current Advances and Future Directions.International journal of particle therapy · 2026Article
- Knowledge-based radiation therapy treatment planning decision support system for head and neck cancer utilizing multi-organ constellation matching.International journal of computer assisted radiology and surgery · 2026Article
- End-to-end deep learning pipeline for automated IMRT planning in lymphoma: Feasibility and limitations.Journal of applied clinical medical physics · 2026Article
- A hybrid cluster-then-predict machine learning radiotherapy knowledge-based planning framework for similarity matching using holistic target-OAR constellation geometry.Radiation oncology (London, England) · 2026Article
- Development of an Integrated Radiotherapy Simulation Platform with AI-Driven Segmentation and Ray-Casting-Based Dosimetric Evaluation.Bioengineering (Basel, Switzerland) · 2026Article
- Development and validation of a knowledge-based model for robotic radiosurgery planning for brain lesions.Physics and imaging in radiation oncology · 2026Article
- Evaluation of a quasi-automatic treatment planning workflow for head-and-neck cancer in radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Prospective blinded clinical evaluation of a fully automated workflow for prostate radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Machine-learning with multiomics for radiotherapy-induced acute rectal toxicities and survival outcome in patients with cervical cancer.Radiation oncology (London, England) · 2026Article
- OVH-guided planning for superior heart and lung sparing in breast cancer radiotherapy.Journal of applied clinical medical physics · 2026Article
- Desargues cloud TPS: a cloud-based automatic radiation treatment planning system for IMRT.Biomedical engineering online · 2026Article
- Personalized intensity modulation radiation therapy auto-planning for esophageal cancer.Scientific reports · 2025Article
- Multicenter study on the versatility and adoption of AI-driven automated radiotherapy planning across cancer types.Nature communications · 2025Article
- New insights into automatic treatment planning for cancer radiotherapy using explainable artificial intelligence.Physics in medicine and biology · 2025Article
- Integrating artificial intelligence in healthcare: applications, challenges, and future directions.Future science OA · 2025Review
64 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiotherapy treatment planning of complex radiotherapy techniques, such as intensity modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive process requiring a high level of treatment planner intervention to ensure high plan quality. This can lead to variability in the quality of treatment plans and the efficiency in which plans are produced, depending on the skills and experience of the operator and available planning time. Within the last few years, there has been significant progress in the research and development of intensity modulated radiotherapy treatment planning approaches with automation support, with most commercial manufacturers now offering some form of solution. There is a rapidly growing number of research articles published in the scientific literature on the topic. This paper critically reviews the body of publications up to April 2018. The review describes the different types of automation algorithms, including the advantages and current limitations. Also included is a discussion on the potential issues with routine clinical implementation of such software, and highlights areas for future research.
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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.