A study to determine the impact of IMPT optimization techniques on prostate synthetic CT image sets dose comparison against CT image sets

Gipson Joe Anto; Sureka Sekaran; Bojarajan Perumal; Natarajan Ramar; R Vaitheeswaran; S K Karthikeyan

doi:10.5603/RPOR.a2022.0015

A study to determine the impact of IMPT optimization techniques on prostate synthetic CT image sets dose comparison against CT image sets

Rep Pract Oncol Radiother. 2022 Mar 22;27(1):161-169. doi: 10.5603/RPOR.a2022.0015. eCollection 2022.

Authors

Gipson Joe Anto¹, Sureka Sekaran¹, Bojarajan Perumal¹, Natarajan Ramar², R Vaitheeswaran¹, S K Karthikeyan¹

Affiliations

¹ Department of Medical Physics, Bharathiar University, Coimbatore, India.
² Department of Physics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.

Abstract

Background: The objective of this study is to determine the impact of intensity modulated proton therapty (IMPT) optimization techniques on the proton dose comparison of commercially available magnetic resonance for calculating attenuation (MRCA T) images, a synthetic computed tomography CT (sCT) based on magnetic resonance imaging (MRI) scan against the CT images and find out the optimization technique which creates plans with the least dose differences against the regular CT image sets.

Material and methods: Regular CT data sets and sCT image sets were obtained for 10 prostate patients for the study. Six plans were created using six distinct IMPT optimization techniques including multi-field optimization (MFO), single field uniform dose (SFUD) optimization, and robust optimization (RO) in CT image sets. These plans were copied to MRCA T, sCT datasets and doses were computed. Doses from CT and MRCA T data sets were compared for each patient using 2D dose distribution display, dose volume histograms (DVH), homogeneity index (HI), conformation number (CN) and 3D gamma analysis. A two tailed t-test was conducted on HI and CN with 5% significance level with a null hypothesis for CT and sCT image sets.

Results: Analysis of ten CT and sCT image sets with different IMPT optimization techniques shows that a few of the techniques show significant differences between plans for a few evaluation parameters. Isodose lines, DVH, HI, CN and t-test analysis shows that robust optimizations with 2% range error incorporated results in plans, when re-computed in sCT image sets results in the least dose differences against CT plans compared to other optimization techniques. The second best optimization technique with the least dose differences was robust optimization with 5% range error.

Conclusion: This study affirmatively demonstrates the impact of IMPT optimization techniques on synthetic CT image sets dose comparison against CT images and determines the robust optimization with 2% range error as the optimization technique which gives the least dose difference when compared to CT plans.

Keywords: IMPT; MFO; MRCA T; SFUD; robust optimization; synthetic CT.