Copyright
©The Author(s) 2022.
World J Gastroenterol. Aug 21, 2022; 28(31): 4399-4416
Published online Aug 21, 2022. doi: 10.3748/wjg.v28.i31.4399
Published online Aug 21, 2022. doi: 10.3748/wjg.v28.i31.4399
Figure 3 Receiver operating characteristic curve of different radiomics models for diagnosis microvascular invasion in small hepato cellular carcinoma (testing set).
A: T1 weighted imaging [area under curve (AUC) was 0.776; 95% confidence interval (CI): 0.611-0.895]; B: T2 weighted imaging [AUC, 0.813; 95% confidence interval (CI): 0.651-0.922]; C: Diffusion weighted imaging (AUC, 0.971; 95%CI: 0.858-0.999); D: Arterial phase (AUC, 0.788; 95%CI: 0.642-0.894); E: Portal vein phase (AUC, 0.790; 95%CI: 0.630-0.904); F: Hepatobiliary phase (AUC, 0.990; 95%CI: 0.911-1.000). T1W1: T1 weighted imaging; T2W2: T2 weighted imaging; AUC: Area under curve; DWI: Diffusion weighted imaging; AP: Arterial phase; PVP: Portal vein phase; HBP: Hepatobiliary phase.
- Citation: Chen YD, Zhang L, Zhou ZP, Lin B, Jiang ZJ, Tang C, Dang YW, Xia YW, Song B, Long LL. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma. World J Gastroenterol 2022; 28(31): 4399-4416
- URL: https://www.wjgnet.com/1007-9327/full/v28/i31/4399.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i31.4399