| Autor: |
Subramanian, Vallinayagam Shanmuga, Subramani, Vellaiyan, Chilukuri, Srinivas, Kathirvel, Murugesan, Arun, Gandhi, Swamy, Shanmugam Thirumalai, Subramanian, Kala, Fogliata, Antonella, Cozzi, Luca |
| Předmět: |
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| Zdroj: |
Journal of Applied Clinical Medical Physics; Sep2017, Vol. 18 Issue 5, p293-300, 8p |
| Abstrakt: |
Objectives To explore the feasibility of multi-isocentric 4 π volumetric-modulated arc therapy ( MI4 π- VMAT) for the complex targets of head and neck cancers. Methods Twenty-five previously treated patients of HNC underwent re-planning to improve the dose distributions with either coplanar VMAT technique ( CP- VMAT) or noncoplanar MI4 π- VMAT plans. The latter, involving 3-6 noncoplanar arcs and 2-3 isocenters were re-optimized using the same priorities and objectives. Dosimetric comparison on standard metrics from dose-volume histograms was performed to appraise relative merits of the two techniques. Pretreatment quality assurance was performed with IMRT phantoms to assess deliverability and accuracy of the MI4 π- VMAT plans. The gamma agreement index ( GAI) analysis with criteria of 3 mm distance to agreement ( DTA) and 3% dose difference ( DD) was applied. Results CP- VMAT and MI4 π- VMAT plans achieved the same degree of coverage for all target volumes related to near-to-minimum and near-to-maximum doses. MI4 π-VΜΑΤ plans resulted in an improved sparing of organs at risk. The average mean dose reduction to the parotids, larynx, oral cavity, and pharyngeal muscles were 3 Gy, 4 Gy, 5 Gy, and 4.3 Gy, respectively. The average maximum dose reduction to the brain stem, spinal cord, and oral cavity was 6.0 Gy, 3.8 Gy, and 2.4 Gy. Pretreatment QA results showed that plans can be reliably delivered with mean gamma agreement index of 97.0 ± 1.1%. Conclusions MI4 π- VMAT plans allowed to decrease the dose-volume-metrics for relevant OAR and results are reliable from a dosimetric standpoint. Early clinical experience has begun and future studies will report treatment outcome. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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