Computed tomography-based radiomic model for the prediction of neoadjuvant immunochemotherapy response in patients with advanced gastric cancer

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Oct 15, 2024; 16(10): 4115-4128
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4115

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Figure 1 A flow chart of patient enrollment. AGC: Advanced gastric cancer; CT: Computed tomography; nICT: Neoadjuvant immunochemotherapy.

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

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 [PMID: 39473942 DOI: 10.4251/wjgo.v16.i10.4115]

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