Title |
HyperArc VMAT planning for single and multiple brain metastases stereotactic radiosurgery: a new treatment planning approach
|
---|---|
Published in |
Radiation Oncology, January 2018
|
DOI | 10.1186/s13014-017-0948-z |
Pubmed ID | |
Authors |
Shingo Ohira, Yoshihiro Ueda, Yuichi Akino, Misaki Hashimoto, Akira Masaoka, Takero Hirata, Masayoshi Miyazaki, Masahiko Koizumi, Teruki Teshima |
Abstract |
The HyperArc VMAT (HA-VMAT) planning approach was newly developed to fulfill the demands of dose delivery for brain metastases stereotactic radiosurgery. We compared the dosimetric parameters of the HA-VMAT plan with those of the conventional VMAT (C-VMAT). For 23 patients (1-4 brain metastases), C-VMAT and HA-VMAT plans with a prescription dose of 20-24 Gy were retrospectively generated, and dosimetric parameters for PTV (homogeneity index, HI; conformity index, CI; gradient index, GI) and brain tissue (V2Gy-V16Gy) were evaluated. Subsequently, the physical characteristics (modulation complexity score for VMAT, MCSV; Monitor unit, MU) of both treatment approaches were compared. HA-VMAT provided higher HI (1.41 ± 0.07 vs. 1.24 ± 0.07, p < 0.01), CI (0.93 ± 0.02 vs. 0.90 ± 0.05, p = 0.01) and lower GI (3.06 ± 0.42 vs. 3.91 ± 0.55, p < 0.01) values. Moderate-to-low dose spreads (V4Gy-V16Gy) were significantly reduced (p < 0.01) in the HA-VMAT plan over that of C-VMAT. HA-VMAT plans resulted in more complex MLC patterns (lower MCSV, p < 0.01) and higher MU (p < 0.01). HA-VMAT plans provided significantly higher conformity and rapid dose falloff with respect to the C-VMAT plans. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Ecuador | 1 | 20% |
Saudi Arabia | 1 | 20% |
Portugal | 1 | 20% |
Cyprus | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 113 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 16% |
Student > Ph. D. Student | 16 | 14% |
Other | 15 | 13% |
Student > Master | 13 | 12% |
Student > Bachelor | 5 | 4% |
Other | 11 | 10% |
Unknown | 35 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 29% |
Physics and Astronomy | 23 | 20% |
Engineering | 6 | 5% |
Nursing and Health Professions | 5 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | <1% |
Other | 4 | 4% |
Unknown | 41 | 36% |