ArticleINFORMS journal on applied analytics
Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy.
Article in INFORMS journal on applied analytics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- 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
- PlanningCopilot: An agentic framework integrating ESAPI modules for autonomous treatment planning in lung radiotherapy.Medical physics · 2026Article
- PlanAct: An eclipse scripting API-based module embedding clinical optimization strategies for automated planning in locally advanced non-small cell lung cancer.Journal of applied clinical medical physics · 2025Article
- Implementing Remote Radiotherapy Planning to Increase Patient Flow at a Johannesburg Academic Hospital, South Africa: Protocol for a Prospective Feasibility Study.JMIR research protocols · 2025Article
- Compressed radiotherapy treatment planning: A new paradigm for rapid and high-quality treatment planning optimization.Medical physics · 2025Article
- Feasibility and impact of knowledge-based automated radiotherapy treatment planning in low- and middle-income countries.Ecancermedicalscience · 2025Article
- Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy.Advances in neural information processing systems · 2024Article
- Simultaneous reduction of number of spots and energy layers in intensity modulated proton therapy for rapid spot scanning delivery.Medical physics · 2024Article
- Natural Guardians: Natural Compounds as Radioprotectors in Cancer Therapy.International journal of molecular sciences · 2024Review
- Review
- Automated VMAT treatment planning using sequential convex programming: algorithm development and clinical implementation.Physics in medicine and biology · 2023Article
- Built-in wavelet-induced smoothness to reduce plan complexity in intensity modulated radiation therapy (IMRT).Physics in medicine and biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 1 institution in 1 country.
Funding
Abstract
Each year, approximately 18 million new cancer cases are diagnosed worldwide, and about half must be treated with radiotherapy. A successful treatment requires treatment planning with the customization of penetrating radiation beams to sterilize cancerous cells without harming nearby normal organs and tissues. This process currently involves extensive manual tuning of parameters by an expert planner, making it a time-consuming and labor-intensive process, with quality and immediacy of critical care dependent on the planner's expertise. To improve the speed, quality, and availability of this highly specialized care, Memorial Sloan Kettering Cancer Center developed and applied advanced optimization tools to this problem (e.g., using hierarchical constrained optimization, convex approximations, and Lagrangian methods). This resulted in both a greatly improved radiotherapy treatment planning process and the generation of reliable and consistent high-quality plans that reflect clinical priorities. These improved techniques have been the foundation of high-quality treatments and have positively impacted over 4,000 patients to date, including numerous patients in severe pain and in urgent need of treatment who might have otherwise required longer hospital stays or undergone unnecessary surgery to control the progression of their disease. We expect that the wide distribution of the system we developed will ultimately impact patient care more broadly, including in resource-constrained countries.
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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.