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Cited by in CrossRef
For: Mao LT, Chen WC, Lu JY, Zhang HL, Ye YS, Zhang Y, Liu B, Deng WW, Liu X. Quantitative parameters in novel spectral computed tomography: Assessment of Ki-67 expression in patients with gastric adenocarcinoma. World J Gastroenterol 2023; 29(10): 1602-1613 [PMID: 36970586 DOI: 10.3748/wjg.v29.i10.1602]
URL: https://www.wjgnet.com/1007-9327/full/v29/i10/1602.htm
Number Citing Articles
1
Daoqing Wu, Lianhua Yin, You Zhang, Yuning Lin, Weiwei Deng, Chunhong Zheng, Huibin Liu, Feng Jiang, Suting Lan, Qiuhua Wu, Huacan Li, Jinsong Tang. Evaluation of microcirculation in asymptomatic cerebral infarction with multi-parameter imaging of spectral CTBrain Research Bulletin 2023; 203: 110775 doi: 10.1016/j.brainresbull.2023.110775
2
Mei Du, Xiao Wang, Shuhao Zhuang, Kexin Lou, Gang Li, Xiaodong Xie, Mengru Wang, Hui Zang, Meiqin Wang, Wenrong Shen. Quantitative parameters in novel spectral computed tomography for assessing gastric cancer and cell proliferationEuropean Journal of Radiology 2023; 167: 111052 doi: 10.1016/j.ejrad.2023.111052
3
Ziqi Jia, Lei Guo, WenJing Yuan, JianHao Dai, JianYe Lu, ZhiQiang Li, Xiaohua Du, Weicui Chen, Xian Liu. Performance of dual-layer spectrum CT virtual monoenergetic images to assess early rectal adenocarcinoma T-stage: comparison with MRInsights into Imaging 2024; 15(1) doi: 10.1186/s13244-023-01593-5
4
Yong-Xiu Tong, Xiao Ye, Yong-Qin Chen, Ya-ru You, Hui-Juan Zhang, Shu-Xiang Chen, Li-Li Wang, Yun-Jing Xue, Li-Hong Chen. A nomogram model of spectral CT quantitative parameters and clinical characteristics predicting lymphovascular invasion of gastric cancerHeliyon 2024; 10(7): e29214 doi: 10.1016/j.heliyon.2024.e29214
5
Youjia Wen, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Jiayi Yu, Zongwen Li, Xiaofang Ren, Jiayan Zhang, Qian Liu, Jie Huang, Dan Zeng, Zhuoyue Tang. Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parametersInsights into Imaging 2024; 15(1) doi: 10.1186/s13244-024-01617-8