Program Information
Can CT and CBCT Be Used Simultaneously for Radiomics Analysis
R Luo*, J Wang , H Zhong , J Gan , P Hu , L Shen , W Hu , Z Zhang , Fudan University Shanghai Cancer Center, Shanghai, Shanghai
Presentations
SU-F-R-33 (Sunday, July 31, 2016) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose:To investigate whether CBCT and CT can be used in radiomics analysis simultaneously. To establish a batch correction method for radiomics in two similar image modalities.
Methods:Four sites including rectum, bladder, femoral head and lung were considered as region of interest (ROI) in this study. For each site, 10 treatment planning CT images were collected. And 10 CBCT images which came from same site of same patient were acquired at first radiotherapy fraction. 253 radiomics features, which were selected by our test-retest study at rectum cancer CT (ICC>0.8), were calculated for both CBCT and CT images in MATLAB. Simple scaling (z-score) and nonlinear correction methods were applied to the CBCT radiomics features. The Pearson Correlation Coefficient was calculated to analyze the correlation between radiomics features of CT and CBCT images before and after correction. Cluster analysis of mixed data (for each site, 5 CT and 5 CBCT data are randomly selected) was implemented to validate the feasibility to merge radiomics data from CBCT and CT. The consistency of clustering result and site grouping was verified by a chi-square test for different datasets respectively.
Results:For simple scaling, 234 of the 253 features have correlation coefficient ρ>0.8 , among which 154 features haveρ>0.9 . For radiomics data after nonlinear correction, 240 of the 253 features have ρ>0.8 , among which 220 features have ρ>0.9 . Cluster analysis of mixed data shows that data of four sites was almost precisely separated for simple scaling(p=1.29 * 10⁻⁷,χ² test)and nonlinear correction (p=5.98 * 10⁻⁷,χ² test), which is similar to the cluster result of CT data (p=4.52 * 10⁻⁸,χ² test).
Conclusion:Radiomics data from CBCT can be merged with those from CT by simple scaling or nonlinear correction for radiomics analysis.
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