Encrypted login | home

Program Information

A Novel Integrated VMAT/IMRT Technique For the Treatment of Non-Small Cell Lung Cancer

no image available
N Zhao

N Zhao*, R Yang , J Wang , Peking University Third Hospital, Beijing, Beijing

Presentations

SU-E-T-606 Sunday 3:00PM - 6:00PM Room: Exhibit Hall

Purpose:To investigate a novel Integrated VMAT/IMRT technique which combines volumetric modulated arc therapy (VMAT) and intensity modulated radiation therapy (IMRT) for non-small cell lung cancer (NSCLC).

Methods:2 partial arcs VMAT, 5-field IMRT and Integrated VMAT/IMRT plans were created for 17 patients with NSCLC. The Integrated VMAT/IMRT technique consisted of 2 partial VMAT arcs and 5 IMRT fields. The dose distribution of planning target volume (PTV) and organs at risk (OARs) for Integrated VMAT/IMRT was compared with IMRT and VMAT. The monitor units (MUs) and treatment delivery time were also evaluated. For each plan, a dry run was performed to assess the dosimetric accuracy with MatriXX from IBA.

Results:Integrated VMAT/IMRT significantly improved the target conformity and homogeneity. The V30 of normal lung for Integrated plans was significantly lower than IMRT plans (8.4% vs 9.2%; p<0.05). The V5 and mean lung dose (MLD) of normal lung for Integrated plans were 9.8% and 4.6% lower than VMAT plans (p<0.05). The maximum dose of spinal cord for Integrated plans was 4.9 Gy lower than IMRT plans (p<0.05). The mean delivery time of IMRT, VMAT and Integrated plans was 280 s, 114 s, and 327 s, respectively. The mean MUs needed for IMRT, VMAT and Integrated plans were 933, 512, and 737, respectively. The gamma pass rates were beyond 90% at the 3%/3 mm criteria when the gantry angles were set to 0° for pretreatment verification.

Conclusion:Integrated VMAT/IMRT technique significantly reduced V5, V10 and MLD of normal lung compared with VMAT, and the irradiated volume of the OARs receiving medium to high dose with fewer MUs compared with IMRT. Integrated VMAT/IMRT technique can be a feasible radiotherapy technique with better plan quality and accurately delivered on the linear accelerator.

Funding Support, Disclosures, and Conflict of Interest: Ruijie Yang was funded by the grant project: National Natural Science Foundation of China (No. 81071237). Other authors have no competing interest for this work.


Contact Email: