Copyright
©The Author(s) 2024.
World J Gastroenterol. Jul 7, 2024; 30(25): 3155-3165
Published online Jul 7, 2024. doi: 10.3748/wjg.v30.i25.3155
Published online Jul 7, 2024. doi: 10.3748/wjg.v30.i25.3155
Datasets | Training set | Internal validation set | External validation set | |||||||
Classifications | CD | PIL | P value | CD | PIL | P value | CD | PIL | P value | |
Phases | Features | |||||||||
N | OSV | 0.58 | 0.38 | 0.00b | 0.63 | 0.36 | 0.00b | 0.60 | 0.39 | 0.00b |
LSGL | -0.19 | -0.28 | 0.00b | -0.23 | -0.28 | 0.11 | -0.25 | -0.30 | 0.10 | |
WLLHGR | 0.81 | 0.68 | 0.00b | 0.83 | 0.70 | 0.00b | 0.70 | 0.61 | 0.09 | |
WHLLFM | -2.61 | -0.60 | 0.00b | -2.99 | -0.64 | 0.00b | -1.52 | -0.86 | 0.01a | |
WHHHGL | 2.35 | 3.21 | 0.00b | 2.21 | 2.89 | 0.00b | 2.65 | 3.28 | 0.00b | |
A | OSV | 0.58 | 0.37 | 0.00b | 0.62 | 0.39 | 0.00b | 0.62 | 0.40 | 0.00b |
WHLLFM | -2.96 | -0.65 | 0.00b | -4.42 | -0.85 | 0.00b | -1.77 | -0.80 | 0.00b | |
WLLLGR | 0.84 | 0.73 | 0.00b | 0.85 | 0.72 | 0.00b | 0.77 | 0.69 | 0.00b | |
V | OSV | 0.55 | 0.37 | 0.00b | 0.70 | 0.37 | 0.00b | 0.59 | 0.40 | 0.00b |
LSGL | -0.18 | -0.28 | 0.00b | -0.20 | -0.25 | 0.03a | -0.23 | -0.30 | 0.00b | |
WHLLFM | -2.90 | -0.77 | 0.00b | -5.08 | -0.68 | 0.00b | -1.93 | -1.05 | 0.00b | |
WLLLGA | 0.17 | 0.10 | 0.00b | 0.18 | 0.10 | 0.00b | 0.14 | 0.08 | 0.00b | |
WLLLGR | 0.84 | 0.74 | 0.00b | 0.85 | 0.71 | 0.00b | 0.79 | 0.69 | 0.00b |
- Citation: Xiao MJ, Pan YT, Tan JH, Li HO, Wang HY. Computed tomography-based radiomics combined with machine learning allows differentiation between primary intestinal lymphoma and Crohn's disease. World J Gastroenterol 2024; 30(25): 3155-3165
- URL: https://www.wjgnet.com/1007-9327/full/v30/i25/3155.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i25.3155