ArticleScientific reports2020
Template-based automation of treatment planning in advanced radiotherapy: a comprehensive dosimetric and clinical evaluation.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Objective-function-guided automated VMAT planning reduces OAR dose, low-dose exposure, and inter-planner variability in breast radiotherapy.Scientific reports · 2026Article
- Desargues cloud TPS: a cloud-based automatic radiation treatment planning system for IMRT.Biomedical engineering online · 2026Article
- Real-Time AI-Based Radiotherapy Planning for Nasopharyngeal Carcinoma: Development and Validation.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- A comparison of voxel sampling approaches for intensity-modulated radiation therapy.Medical physics · 2025Article
- Partially Ablative Radiotherapy for Bulky Tumors: A Narrative Review of a Developing Concept.Journal of personalized medicine · 2025Review
- [New developments in the radiotherapy for head and neck cancer].Magyar onkologia · 2025Review
- Replacing manual planning with automatic iterative planning for locally advanced rectal cancer VMAT treatment.Journal of applied clinical medical physics · 2025Article
- Feasibility and impact of knowledge-based automated radiotherapy treatment planning in low- and middle-income countries.Ecancermedicalscience · 2025Article
- Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator.Frontiers in oncology · 2025Article
- Quantitative Evaluation of a Fully Automated Planning Solution for Prostate-Only and Whole-Pelvic Radiotherapy.Cancers · 2024Article
- Artificial Intelligence in Head and Neck Surgery.Otolaryngologic clinics of North America · 2024Review
- Multimodal radiotherapy dose prediction using a multi-task deep learning model.Medical physics · 2024Article
- Artificial intelligence applications in prostate cancer.Prostate cancer and prostatic diseases · 2024Review
- Comparative Study of Eclipse and RayStation Multi-Criteria Optimization-Based Prostate Radiotherapy Treatment Planning Quality.Diagnostics (Basel, Switzerland) · 2024Article
- Updating approach for lexicographic optimization-based planning to improve cervical cancer plan quality.Discover oncology · 2023Article
- deepPERFECT: Novel Deep Learning CT Synthesis Method for Expeditious Pancreatic Cancer Radiotherapy.Cancers · 2023Article
- Clinical application of a template-guided automated planning routine.Journal of applied clinical medical physics · 2023Article
- Using feasibility dose-volume histograms to reduce intercampus plan quality variability for head-and-neck cancer.Journal of applied clinical medical physics · 2023Article
- Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning.Frontiers in oncology · 2023Article
- Comparison of anatomically informed class solution template trajectories with patient-specific trajectories for stereotactic radiosurgery and radiotherapy.Journal of applied clinical medical physics · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the recent advanced developments in radiation therapy planning, treatment planning for head-neck and pelvic cancers remains challenging due to large concave target volumes, multiple dose prescriptions and numerous organs at risk close to targets. Inter-institutional studies highlighted that plan quality strongly depends on planner experience and skills. Automated optimization of planning procedure may improve plan quality and best practice. We performed a comprehensive dosimetric and clinical evaluation of the Pinnacle
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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.