## 3 Results
### Radiomics Features Extraction
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multicolumn{2}{c}{**Features (\(\pm\)SD)**} & \multicolumn{4}{c}{**Students’s \(t\) Test/Mann-Whitney U**} & \multicolumn{4}{c}{**ROC Curve Analysis**} \\ \cline{3-10} \multicolumn{2}{c}{} & \multicolumn{2}{c}{**Responders**} & **Non-Responders** & \(p\)** & **AUC** & **Sensibility** & **Specificity** & **95\%CI** & \(p\)** \\ \hline \multirow{2}{*}{_Shape_} & \multirow{2}{*}{_LeastAxisLength_} & 40,71,033,491,504,200 & 25,790,794,154,70,500 & **0.017** & 0.815 & 88.89\% & 66.67\% & 0.53-0.96 & **0.011** \\  & & (\(\pm\)10.571,468,963,142,900\) & (\(\pm\)11.205,253,032,505,952,900\) & **0.017** & 0.815 & 88.89\% & 66.67\% & 0.53-0.96 & **0.011** \\ \hline \multirow{4}{*}{_GLCM_} & \multirow{2}{*}{_Cluster Shade_} & 0.386 & 146,046,470,600.51 & \multirow{4}{*}{**0.007**} & \multirow{4}{*}{0.007} & \multirow{4}{*}{66.67\%} & \multirow{4}{*}{100\%} & \multirow{4}{*}{0.64–0.99} & \multirow{4}{*}{**<0.0001**} \\  & & (\(\pm\)0.268) & (\(\pm\)221,971,036,175.30) & & & & & \\ \cline{1-1} \cline{3-10}  & \multirow{2}{*}{_Autocorrelation_} & 60,512,843,926.50 & 172,336,715,286.11 & \multirow{4}{*}{**0.005**} & \multirow{4}{*}{0.007} & \multirow{4}{*}{88.89\%} & \multirow{4}{*}{83.33\%} & \multirow{4}{*}{0.64–0.99} & \multirow{4}{*}{**<0.0001**} \\  & & (\(\pm\)266,967,395,651.26) & (\(\pm\)225,325,689,588.11) & & & & \\ \hline \multirow{2}{*}{_First order_} & \multirow{2}{*}{_Skewness_} & \(-\)41,087,393,947.19 & \(-\)266,130,994,643.63 & \multirow{2}{*}{**0.012**} & \multirow{2}{*}{0.889} & \multirow{2}{*}{88.89\%} & \multirow{2}{*}{83.33\%} & \multirow{2}{*}{0.62–0.99} & \multirow{2}{*}{**<0.0001**} \\  & & (\(\pm\)926,868,722,144.65) & (\(\pm\)242,387,746,528.67) & & & & \\ \hline \multirow{2}{*}{_NGTDM_} & \multirow{2}{*}{_Strength_} & 0.099 & 12,828,807,550.54 & \multirow{2}{*}{**0.049**} & \multirow{2}{*}{0.815} & \multirow{2}{*}{55.56\%} & \multirow{2}{*}{100\%} & \multirow{2}{*}{0.53–0.96} & \multirow{2}{*}{**0.007**} \\  & & (\(\pm\)0.065) & (\(\pm\)38,468,422,650.55) & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Pre-p-ChT radiomics analysis between responders and non-responders expressed as simple comparison analysis (Student’s \(t\) test/Mann-Whitney U) and the receiver operating characteristic (ROC) curve analysis with the area under the curve (AUC), sensitivity, specificity, and interclass coefficient (IC). \begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline \multirow{3}{*}{**Features (\(\pm\)SD)**} & \multicolumn{4}{c}{**Student’s \(t\) Test/Mann-Whitney U**} & \multicolumn{4}{c}{**ROC Curve Analysis**} \\ \cline{2-10}  & \multicolumn{2}{c}{**Respenders**} & **Non-Responders** & \(p\) & **AUC** & **Sensitivity** & **Specificity** & **95\%C1** & \(p\)** \\ \hline \multirow{4}{*}{_Shape_} & _MeshVolume_ & 47,726,724,383.33 & 13,076,118.00 & 0.012 & 0.889 & 66.67\% & 100\% & 0.62–0.99 & **\textless{}0.0001** \\  & (\(\pm\)116826556826.61) & (\(\pm\)30921508.47) & 0.017 & 0.833 & 100\% & 66.67\% & 100\% & 0.55–0.97 & **0.0045** \\ \cline{2-10}  & _LustAxisLength_ & 12,2853,517,1543,50.500 & 5.973,056,305,063,620 & & & & & & \\  & (\(\pm\)1413787167552600) & (\(\pm\)24977,69572,12154,400\(\pm\)) & 0.036 & 0.833 & 77.78\% & 100\% & 0.55–0.97 & **0.0045** \\ \cline{2-10}  & _SurfaceVolume_ & 0.014 & 0.1233 & & & & & & \\  & (\(\pm\)0.05200651) & (\(\pm\)0.089998892) & & & & & & & \\ \hline \multirow{2}{*}{_GLRIM_} & _LongRunEmphasis_ & 2,579,499.151,841.67 & 149,429,893,302.00 & 0.020 & 0.852 & 88.89\% & 83.33\% & 0.57–0.97 & **0.0021** \\  & (\(\pm\)3.288) & (\(\pm\)1.43237) & & & & & & & \\ \hline \multirow{2}{*}{_GLSZM_} & _LargeArxLLowContras-LevorLimplasis_ & 408,041,364,296.00 & 36,590,286.67.64 & & & & & & \\  & (\(\pm\)3.38877) & (\(\pm\)1.45245) & & & & & & & \\ \hline \multirow{2}{*}{_NGTDM_} & _Contrast_ & 0.00000 & 0.01000 & 0.049 & 0.796 & 66.67\% & 83.33\% & 0.53–0.96 & **0.005** \\  & (\(\pm\)0.00571308) & (\(\pm\)0.00986065) & & & & & & & \\ \hline \hline \end{tabular}
\end{table}