Copyright
©The Author(s) 2020.
World J Gastroenterol. May 7, 2020; 26(17): 2082-2096
Published online May 7, 2020. doi: 10.3748/wjg.v26.i17.2082
Published online May 7, 2020. doi: 10.3748/wjg.v26.i17.2082
Features | N stage | |
Rs | P value | |
DWIb=0 | ||
Sum average | -0.188 | 0.044 |
Gray level nonuniformity | -0.149 | 0.038 |
SymletH | 0.211 | 0.024 |
DWIb=1000 | ||
Sum average | -0.209 | 0.025 |
Information correlation | -0.187 | 0.045 |
Long run low gray level emphasis | -0.223 | 0.017 |
SymletH | 0.199 | 0.033 |
ADC maps | ||
ADCmax | -0.204 | 0.029 |
ADCmean | -0.273 | 0.003 |
Information correlation | -0.199 | 0.033 |
- Citation: Yin JD, Song LR, Lu HC, Zheng X. Prediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps. World J Gastroenterol 2020; 26(17): 2082-2096
- URL: https://www.wjgnet.com/1007-9327/full/v26/i17/2082.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i17.2082