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3 results on '"beam angle selection"'

1. Optimal beam angle selection and knowledge-based planning significantly reduces radiotherapy dose to organs at risk for lung cancer patients.

Author

Hoffmann, L., Knap, M. M., Alber, M., and Møller, D. S.

Subjects
*STATISTICS, *LUNGS, *HEART, *LUNG tumors, *HUMAN body, *CANCER patients, *T-test (Statistics), *RADIATION doses, *RADIOTHERAPY, *DATA analysis, *RADIATION dosimetry
Abstract

Lung cancer patients struggle with high toxicity rates. This study investigates if IMRT plans with individually set beam angles or uni-lateral VMAT plans results in dose reduction to OARs. We investigate if introduction of a RapidPlan model leads to reduced dose to OARs. Finally, the model is validated prospectively. Seventy-four consecutive lung cancer patients treated with IMRT were included. For all patients, new IMRT plans were made by an experienced dose planner re-tuning beam angles aiming for minimized dose to the lungs and heart. Additionally, VMAT plans were made. The IMRT plans were selected as input for a RapidPlan model, which was used to generate 74 new IMRT plans. The new IMRT plans were used as input for a second RapidPlan model. This model was clinically implemented and used for generation of clinical treatment plans. Dosimetric parameters were compared using a Wilcoxon signed rank test or a 1-sided student's t-test. p <.05 was considered significant. IMRT plans significantly reduced mean doses to lungs (MLD) and heart (MHD) by 1.6 Gy and 1.7 Gy in mean compared to VMAT plans. MLD was significantly (p <.001) reduced from 10.8 Gy to 9.4 Gy by using the second RapidPlan model. MHD was significantly (p <.001) reduced from 4.9 Gy to 3.9 Gy. The model was validated in prospectively collected treatment plans showing significantly lower MLD after the implementation of the second RapidPlan model. Introduction of RapidPlan and beam angles selected based on the target and OARs position reduces dose to OARs. [ABSTRACT FROM AUTHOR]

Published
2021
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3. Optimal beam angle selection and knowledge-based planning significantly reduces radiotherapy dose to organs at risk for lung cancer patients

Author

Marianne Marquard Knap, Markus Alber, Lone Hoffmann, and Ditte Sloth Møller

Subjects
Organs at Risk, treatment planning, medicine.medical_specialty, Lung Neoplasms, Knowledge based planning, VMAT, beam angle selection, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Radiotherapy dose, Radiology, Nuclear Medicine and imaging, IMRT, Radiation treatment planning, Lung cancer, Selection (genetic algorithm), knowledge-based planning, business.industry, Radiotherapy Planning, Computer-Assisted, Radiotherapy Dosage, Hematology, General Medicine, Beam angle, medicine.disease, Oncology, 030220 oncology & carcinogenesis, Dose reduction, Radiotherapy, Intensity-Modulated, Radiology, business, optimization
Abstract

Background: Lung cancer patients struggle with high toxicity rates. This study investigates if IMRT plans with individually set beam angles or uni-lateral VMAT plans results in dose reduction to OARs. We investigate if introduction of a RapidPlan model leads to reduced dose to OARs. Finally, the model is validated prospectively. Material and methods: Seventy-four consecutive lung cancer patients treated with IMRT were included. For all patients, new IMRT plans were made by an experienced dose planner re-tuning beam angles aiming for minimized dose to the lungs and heart. Additionally, VMAT plans were made. The IMRT plans were selected as input for a RapidPlan model, which was used to generate 74 new IMRT plans. The new IMRT plans were used as input for a second RapidPlan model. This model was clinically implemented and used for generation of clinical treatment plans. Dosimetric parameters were compared using a Wilcoxon signed rank test or a 1-sided student’s t-test. p

Published
2020
Full Text
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