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 | T stage | |
Rs | P value | |
DWIb=0 | ||
Dissimilarity | 0.224 | 0.016 |
Sum average | 0.221 | 0.018 |
Information correlation | 0.227 | 0.015 |
Run-length nonuniformity | -0.204 | 0.029 |
DWIb=1000 | ||
Gray level nonuniformity | 0.217 | 0.021 |
Run percentage | -0.197 | 0.035 |
Run-length nonuniformity | 0.246 | 0.008 |
ADC map | ||
Dissimilarity | 0.218 | 0.019 |
Run percentage | 0.236 | 0.011 |
- 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