Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kaikai Wei"'
Autor:
Peiyi Xie, Hong Zheng, Haiyang Chen, Kaikai Wei, Ximin Pan, Qinmei Xu, Yongchen Wang, Changguan Tang, Olivier Gevaert, Xiaochun Meng
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background Atypical tumor response patterns during immune checkpoint inhibitor therapy pose a challenge to clinicians and investigators in immuno-oncology practice. This study evaluated tumor burden dynamics to identify imaging biomarkers fo
Externí odkaz:
https://doaj.org/article/d5846f0297f24aa9ad1627f2fb45c329
Autor:
Yanfen Cui, Jiayi Zhang, Zhenhui Li, Kaikai Wei, Ye Lei, Jialiang Ren, Lei Wu, Zhenwei Shi, Xiaochun Meng, Xiaotang Yang, Xin Gao
Publikováno v:
EClinicalMedicine, Vol 46, Iss , Pp 101348- (2022)
Summary: Background: Accurate prediction of treatment response to neoadjuvant chemotherapy (NACT) in individual patients with locally advanced gastric cancer (LAGC) is essential for personalized medicine. We aimed to develop and validate a deep learn
Externí odkaz:
https://doaj.org/article/bb60eaf36fbb47508471f4497c327f39
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
AimsTo develop and validate a model for predicting major pathological response to neoadjuvant chemotherapy (NAC) in advanced gastric cancer (AGC) based on a machine learning algorithm.MethodA total of 221 patients who underwent NAC and radical gastre
Externí odkaz:
https://doaj.org/article/6bc9c96d26384ea092305b8f9853268d
Publikováno v:
Biochemical and Biophysical Research Communications. 644:62-69
Autor:
Jiayi Zhang, Yanfen Cui, Kaikai Wei, Zhenhui Li, Dandan Li, Ruirui Song, Jialiang Ren, Xin Gao, Xiaotang Yang
Publikováno v:
Gastric Cancer. 25:1050-1059
Accurate pre-treatment prediction of neoadjuvant chemotherapy (NACT) resistance in patients with locally advanced gastric cancer (LAGC) is essential for timely surgeries and optimized treatments. We aim to evaluate the effectiveness of deep learning
Autor:
Yaxi Zhu, Shi Chen, Yonghe Chen, Aihong Liu, Jian Xiao, Xiaochun Meng, Junsheng Peng, Jun Xiang, Kaikai Wei, Dan Liu, Fei Xiong
Publikováno v:
Journal of Cancer
Purpose: Previous studies proposed that the multidisciplinary team (MDT) consultation could improve tumor staging accuracy and outcomes of patients with gastric malignancy. However, evidence-based reports remain limited. This study aimed to determine
Autor:
Yanfen Cui, Jiayi Zhang, Zhenhui Li, Kaikai Wei, Ye Lei, Jialiang Ren, Lei Wu, Zhenwei Shi, Xiaochun Meng, Xiaotang Yang, Xin Gao
Publikováno v:
SSRN Electronic Journal.
Autor:
Yanfen Cui, Jiayi Zhang, Zhenhui Li, Kaikai Wei, Ye Lei, Jialiang Ren, Lei Wu, Zhenwei Shi, Xiaochun Meng, Xiaotang Yang, Xin Gao
Publikováno v:
EClinicalMedicine. 46
Accurate prediction of treatment response to neoadjuvant chemotherapy (NACT) in individual patients with locally advanced gastric cancer (LAGC) is essential for personalized medicine. We aimed to develop and validate a deep learning radiomics nomogra
Autor:
Hai-Yang Chen, Yongchen Wang, Ximin Pan, Qinmei Xu, Changguan Tang, Peiyi Xie, Xiaochun Meng, Olivier Gevaert, Kaikai Wei, Hong Zheng
Publikováno v:
BMC Cancer
BMC Cancer, Vol 21, Iss 1, Pp 1-10 (2021)
BMC Cancer, Vol 21, Iss 1, Pp 1-10 (2021)
Background Atypical tumor response patterns during immune checkpoint inhibitor therapy pose a challenge to clinicians and investigators in immuno-oncology practice. This study evaluated tumor burden dynamics to identify imaging biomarkers for treatme
Autor:
Xin Li, Zhenwei Peng, Bing Liao, Zhihang Chen, Haibo Wang, Shuling Chen, Yingmei Jia, Qian Zhou, Bin Li, Kaikai Wei, Sui Peng, Shi-Ting Feng, Lili Chen, Yang Hou, Xiaofang He, Wei Wang, Mimi Tang, Ming Kuang, Zebin Chen, Bingsheng Huang
Publikováno v:
European Radiology. 29:4648-4659
Preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular cancer (HCC) is important for surgery strategy making. We aimed to develop and validate a combined intratumoural and peritumoural radiomics model based on gadolin