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Year : 2022  |  Volume : 18  |  Issue : 6  |  Page : 1597-1603

Robustly optimized hybrid intensity-modulated proton therapy for craniospinal irradiation

1 Department of Medical Physics, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India
2 Department of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India

Correspondence Address:
Shamurailatpam Dayananda Sharma
Apollo Proton Cancer Centre, Dr Vikram Sarabai Instronic, Estate 7th Street, Dr. Vasi Estate, Phase II, Tharamani, Chennai - 600 096, Tamil Nadu
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jcrt.JCRT_740_20

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Aim: The aim of the study was to investigate the hybrid robust optimization planning approach in intensity-modulated proton therapy (IMPT) of craniospinal irradiation (CSI). Subjects and Methods: Five IMPT-based adult CSI plans in supine position were created using Raystation treatment planning system (TPS) modelled for Proteus plus proton therapy system. A hybrid planning strategy was implemented, where clinical target volume was robustly optimized (RB) for set up uncertainties and planning target volume was optimized for target coverage using minimax algorithm in the TPS. Beam angle selection, optimization, and dose calculation approach were carefully performed to ensure optimum organ at risk (OAR) sparing, even with potential setup and range errors. The complementary dose gradients in junctions were generated using spot assignment and RB technique. Dosimetric outcomes in both nominal plan and the 16 error scenarios (±3 mm setup and 3.5% range) were analyzed using standard dose volume histogram. Results: This planning approach resulted in a homogeneous dose distribution in the target volume of CSI, including the junction regions, by explicitly reducing number of robust optimization scenarios. The proposed technique was also able to achieve excellent coverage to cribriform plate with lower lens doses and minimal dose to other OARs. Target and OAR doses in the nominal plans as well as in the worst case scenarios with setup and range errors were able to meet the predefined clinical goal. Conclusions: This proposed planning technique is efficient, robust against the uncertainties. It could be adopted in other proton therapy centers.

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