Knowledge-based planning using pseudo-structures for volumetric modulated arc therapy (VMAT) of postoperative uterine cervical cancer: a multi-institutional study
| Autor: | Hajime Monzen, Tatsuya Kamima, Yumiko Shimizu, Yuta Muraki, Junichi Fukunaga, Mikoto Tamura, Yasuo Yoshioka, Yoshihiro Ueda, Masakazu Otsuka, Nozomi Kitamura, Yuya Nitta |
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| Rok vydání: | 2020 |
| Předmět: |
Cervical cancer
RapidPlan Uterine cervical cancer knowledge-based planning pseudo-structure Knowledge based planning cervical cancer business.industry Rectum medicine.disease Volumetric modulated arc therapy medicine.anatomical_structure Oncology medicine Radiology Nuclear Medicine and imaging business Nuclear medicine Research Paper |
| Zdroj: | Reports of Practical Oncology and Radiotherapy |
| ISSN: | 1507-1367 |
| Popis: | Background: The aim of this study was to investigate the performance of the RapidPlan knowledge-based treatment planning system using models including registered pseudo-structures, and to determine how many structures are required for automatic optimization of volumetric modulated arc therapy (VMAT) for postoperative uterine cervical cancer. Methods: Pseudo-structures were retrospectively contoured for patients who had completed treatment at one of five institutions. For 22 patients, RPs were generated with a single optimization for models with two (RP_2), four (RP_4), or five (RP_5) registered structures, and the dosimetric parameters of these models were compared with a clinical plan with several optimizations. The total times for pseudo-structure creation and optimization were also measured.Results: Most dosimetric parameters showed no major differences between each RP. In particular, the rectum Dmax, V50Gy, and V40Gy with RP_2, RP_4, and RP_5 were not significantly different, and were lower than those of the clinical plan. In addition, the average proportions of plans achieving acceptable criteria for all dosimetric parameters were 98%, 99%, 98%, and 98% for the clinical plan, RP_2, RP_4, and RP_5, respectively. The average times for the creation and optimization of pseudo-structures were 105, 17, 21, and 29 minutes, for the clinical plan, RP_2, RP_4, and RP_5, respectively. Conclusions: The RapidPlan model with two registered pseudo-structures could generate clinically acceptable plans while saving time. This modeling approach using pseudo-structures could possibility be used for the VMAT planning process. |
| Databáze: | OpenAIRE |
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