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©The Author(s) 2024.
World J Gastrointest Oncol. Oct 15, 2024; 16(10): 4115-4128
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4115
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4115
Figure 5 Radiomic nomogram for predicting the response of patients with advanced gastric cancer to neoadjuvant immunoche motherapy based on the radiomic signature and clinical signature.
Different values for each variable correspond to a point at the top of the graph, and the sum of points for all variables corresponds to the total point. The line from the total point to the bottom is the probability of response. Response, TRG 0-1; Clinic_Sig, clinical signature; Rad_Sig, radiomic signature.
- Citation: Zhang J, Wang Q, Guo TH, Gao W, Yu YM, Wang RF, Yu HL, Chen JJ, Sun LL, Zhang BY, Wang HJ. Computed tomography-based radiomic model for the prediction of neoadjuvant immunochemotherapy response in patients with advanced gastric cancer. World J Gastrointest Oncol 2024; 16(10): 4115-4128
- URL: https://www.wjgnet.com/1948-5204/full/v16/i10/4115.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i10.4115