ArticleRadiation oncology (London, England)2020
Automated Hypofractionated IMRT treatment planning for early-stage breast Cancer.
Article in Radiation oncology (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 28 citations in OpenAlex.
- Automatic segmentation of clinical target volume for radiation therapy in breast-conserving patients and exploration of clinical factors influential to its performance.The British journal of radiology · 2026Article
- Automated treatment planning for brain and spinal metastases.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026Article
- Automated treatment planning for whole breast irradiation with individualized tangential IMRT fields.Journal of applied clinical medical physics · 2024Article
- Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma.Radiation oncology (London, England) · 2024Article
- Knowledge-based versus deep learning based treatment planning for breast radiotherapy.Physics and imaging in radiation oncology · 2024Article
- Study on the transferability of the knowledge-based VMAT model to predict IMRT plans in prostate cancer radiotherapy.European journal of medical research · 2023Article
- Online adaptive planning methods for intensity-modulated radiotherapy.Physics in medicine and biology · 2023Review
- Customizable landmark-based field aperture design for automated whole-brain radiotherapy treatment planning.Journal of applied clinical medical physics · 2023Article
- Implementation of automated personalised breast radiotherapy planning techniques with scripting in Raystation.The British journal of radiology · 2023Article
- Comparison of volumetric modulated arc therapy and intensity-modulated radiotherapy for left-sided whole-breast irradiation using automated planning.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022Article
- Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer.Physics and imaging in radiation oncology · 2021Article
- Assessing the performance of an automated breast treatment planning software.Journal of applied clinical medical physics · 2021Article
- Auxiliary Structures-Assisted Radiotherapy Improvement for Advanced Left Breast Cancer.Frontiers in oncology · 2021Article
- Technical Note: An Eclipse Scripting Application Programming Interface-based Tool for Automated Structure Duplication, Cropping, and Ring Generation in Eclipse Treatment Planning System.Journal of medical physicsArticle
- ACOSA: A Script-Based Algorithm for Multi-Disease Target Crop and Optimization in Radiotherapy.Technology in cancer research & treatmentArticle
- Clinical Experience With Machine Learning-Based Automated Treatment Planning for Whole Breast Radiation Therapy.Advances in radiation oncologyArticle
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHypofractionated whole-breast irradiation is a standard adjuvant therapy for early-stage breast cancer. This study evaluates the plan quality and efficacy of an in-house-developed automated radiotherapy treatment planning algorithm for hypofractionated whole-breast radiotherapy.
methodsA cohort of 99 node-negative left-sided breast cancer patients completed hypofractionated whole-breast irradiation with six-field IMRT for 42.56 Gy in 16 daily fractions from year 2016 to 2018 at a tertiary center were re-planned with an in-house-developed algorithm. The automated plan-generating C#-based program is developed in a Varian ESAPI research mode. The dose-volume histogram (DVH) and other dosimetric parameters of the automated and manual plans were directly compared.
resultsThe average time for generating an autoplan was 5 to 6 min, while the manual planning time ranged from 1 to 1.5 h. There was only a small difference in both the gantry angles and the collimator angles between the autoplans and the manual plans (ranging from 2.2 to 5.3 degrees). Autoplans and manual plans performed similarly well in hotspot volume and PTV coverage, with the autoplans performing slightly better in the ipsilateral-lung-sparing dose parameters but were inferior in contralateral-breast-sparing. The autoplan dosimetric quality did not vary with different breast sizes, but for manual plans, there was worse ipsilateral-lung-sparing (V
conclusionsOur study presents a well-designed standardized fully automated planning algorithm for optimized whole-breast radiotherapy treatment plan generation. A large cohort of 99 patients were re-planned and retrospectively analyzed. The automated plans demonstrated similar or even better dosimetric quality and efficacy in comparison with the manual plans. Our result suggested that the autoplanning algorithm has great clinical applicability potential.
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