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©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 4 Nomogram of diffusion weighted imaging radiomics model to predict microvascular invasion in patients with small hepato cellular carcinoma.
A: The nomogram was developed with radiomics signature and clinicoradiological factors. A vertical line was drawn according to the value of radiomics scores to determine the corresponding value of points. Similarly, the points of tumor markers were determined. The total points were the sum of the two points above. Finally, a vertical line was made according to the value of the total points to determine the probability of microvascular invasion (MVI); B: Validity of the predictive performance of the nomogram in estimating the risk of MVI presence in the training cohort; C: Validity of the predictive performance of the nomogram in estimating the risk of MVI presence in the validation cohort. AFP: Alpha-fetoprotein; DWI: Diffusion weighted imaging; Rad_score: Radiomics signatures score.
- 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