Which T Category of Nasopharyngeal Carcinoma May Benefit Most from Volumetric Modulated Arc Therapy Compared with Step and Shoot Intensity Modulated Radiation TherapyReportar como inadecuado




Which T Category of Nasopharyngeal Carcinoma May Benefit Most from Volumetric Modulated Arc Therapy Compared with Step and Shoot Intensity Modulated Radiation Therapy - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Background

To compare volumetric modulated arc therapy VMAT with conventional step and shoot intensity modulated radiation therapy s-IMRT in nasopharyngeal carcinoma NPC patients, and identify which T category patient gains the maximum benefit from VMAT.

Methods

Fifty-two patients that randomly selected from 205 patients received VMAT at a single center were retrospectively replanned with s-IMRT. For a fair comparison, the planning target volume PTV coverage of the 2 plans was normalized to the same level. A standard planning constraint set was used; the constraints for the organs at risk OARs were individually adapted. The calculated doses to the PTV and OARs were compared for s-IMRT and VMAT plans generated using the Monaco treatment planning system.

Results

VMAT and s-IMRT plans had similar PTV coverage and OAR sparing within all T categories. However, in stratified analysis, VMAT plans lead to better or similar sparing of the OARs in early T category patients; and lead to poorer sparing of the OARs in advanced T category patients P<0.05. VMAT shows significant advantages for low dose burden P<0.05 compared with s-IMRT. The delivery time per fraction for VMAT 424±64 s was shorter than s-IMRT 778 ± 126 s, p<0.01.

Conclusions

VMAT provides similar dose coverage of the PTVs and similar-better normal tissue sparing in early T category NPC, and poorer OARs sparing in advanced T category NPC. And VMAT shows significant advantages for low dose burden and delivery time.



Autor: Ying Sun , Rui Guo , Wen-Jing Yin, Ling-Long Tang, Xiao-Li Yu, Mo Chen, Zhen-Yu Qi, Meng-Zhong Liu, Jun Ma

Fuente: http://plos.srce.hr/



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