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Cui, Y., Zhang, J., Li, Z., Wei, K., Lei, Y., Ren, J., Wu, L., Shi, Z., Meng, X., Yang, X. and Gao, X. (2022) A CT-Based Deep Learning Radiomics Nomogram for Predicting the Response to Neoadjuvant Chemotherapy in Patients with Locally Advanced Gastric Cancer: A Multicenter Cohort Study. EClinicalMedicine, 46, e101348.
https://doi.org/10.1016/j.eclinm.2022.101348

has been cited by the following article:

• TITLE: Current Status and Research Progress of Neoadjuvant Chemotherapy for Locally Advanced Gastric Cancer

  AUTHORS: Junjian Liu, Tian Wei, Zhiping Xiang, Yinlu Ding

  KEYWORDS: Locally Advanced Gastric Cancer, Adjuvant Chemotherapy, Neoadjuvant Chemotherapy

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.11 No.3, March 30, 2023

  ABSTRACT: Gastric cancer is one of the most common malignant tumours worldwide, with a high degree of malignancy and a poor prognosis. While early gastric cancer can be cured by surgical treatment, locally advanced gastric cancer requires neoadjuvant therapy to shrink the tumour, suppress potential metastases, achieve down-staging, and provide patients with the opportunity for radical surgery to prolong their survival. This article reviews the current status and progress of neoadjuvant chemotherapy for locally advanced gastric cancer.