| Autor: |
Hongtao Chen, Zihuang Li, Guixiang Liao, Lijun Wang, Xiaonian Deng, Heli Zhong |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Radiation Medicine and Protection, Vol 5, Iss 2, Pp 139-144 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-5557 |
| DOI: |
10.1016/j.radmp.2024.05.004 |
| Popis: |
Objective: To assess the performance and advantages of HyperArc for radiotherapy of multiple brain metastases with dosimetric parameters with respect to coplanar volumetric modulated arc radiotherapy (c-VMAT), and characterize implicit correlations between tumor features and dosimetric parameters. Methods: This retrospective study involved 40 patients with multiple brain metastases (4–16 tumors, 12.8–240.8 cm3) who received simultaneous radiotherapy at the Department of Radiation Oncology, Shenzhen People's Hospital from January 2019 to December 2022. Both HyperArc and c-VMAT plans were designed by the same and qualified physicist using the Eclipse system with Truebeam. A single isocenter and a 6 MV flattening filter-free (6FFF) photon beam were used for radiotherapy of multiple brain metastases in each plan. Dosimetric parameters of tumors and organs at risk (OARs) were compared between HyperArc and c-VMAT plans. Correlations between tumor features (number and volume) and dosimetric parameters were revealed and analyzed. Furthermore, monitor units (MUs) of both plan types were recorded to assess rays utilization and delivery efficiency. Results: Compared to c-VMAT plans, HyperArc plans achieved higher maximum dose (Dmax) (5.23%, t = 7.87, P 0.05). Conclusions: This study demonstrates the promising performance of HyperArc for radiotherapy of multiple brain metastases, including better dose conformity for the tumors, more rapid dose drop and less dose spillage outside the tumors area, effective reduction of dose bridges among close tumors, and sparing OARs. It also reveals the correlations between the number or volume of tumors and dose parameters, which can help optimize the use of HyperArc and predict clinical benefits. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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