Copyright
©The Author(s) 2022.
World J Gastrointest Oncol. Mar 15, 2022; 14(3): 703-715
Published online Mar 15, 2022. doi: 10.4251/wjgo.v14.i3.703
Published online Mar 15, 2022. doi: 10.4251/wjgo.v14.i3.703
Variable name | P value Wilcoxon | P value corrected | LASSO slope |
lbp.3D.m1_glrlm_LongRunLowGrayLevelEmphasis | 1.01E-09 | 4.82E-07 | -0.146 |
wavelet.LLL_glcm_Imc2 | 1.17E-06 | 5.61E-04 | 0.039 |
lbp.3D.m2_glszm_GrayLevelNonUniformityNormalized | 4.01E-06 | 1.92E-03 | 0.113 |
exponential_glrlm_RunLengthNonUniformityNormalized | 4.02E-06 | 1.92E-03 | 0.056 |
- Citation: Rossi G, Altabella L, Simoni N, Benetti G, Rossi R, Venezia M, Paiella S, Malleo G, Salvia R, Guariglia S, Bassi C, Cavedon C, Mazzarotto R. Computed tomography-based radiomic to predict resectability in locally advanced pancreatic cancer treated with chemotherapy and radiotherapy. World J Gastrointest Oncol 2022; 14(3): 703-715
- URL: https://www.wjgnet.com/1948-5204/full/v14/i3/703.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v14.i3.703