Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Caifeng Wan"'
Autor:
Caifeng Wan, Liheng Zhou, Ye Jin, Fenghua Li, Lin Wang, Wenjin Yin, Yaohui Wang, Hongli Li, Lixin Jiang, Jinsong Lu
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Due to the highly heterogeneity of the breast cancer, it would be desirable to obtain a non-invasive method to early predict the treatment response and survival outcome of the locally advanced breast cancer (LABC) patients undergo
Externí odkaz:
https://doaj.org/article/4b3374759c6749d3b2f1fb606d86b880
Autor:
Chengrun Du, Jianyun Jiang, Caifeng Wan, Guangsen Pan, Fangfang Kong, Ruiping Zhai, Chaosu Hu, Hongmei Ying
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract To improve radiotherapy effect by inducing more toxicity for tumors and less for normal tissue and switching immunosuppressive microenvironment caused by expression of PD-L1 and tumor-associated macrophages (TAMs) to immunoreactive microenvi
Externí odkaz:
https://doaj.org/article/b38de380a54f440db4d02b86e1b7321f
Autor:
Caifeng Wan, Liheng Zhou, Hongli Li, Lin Wang, Fenghua Li, Wenjin Yin, Yaohui Wang, Lixin Jiang, Jinsong Lu
Publikováno v:
Diagnostics, Vol 13, Iss 14, p 2378 (2023)
We aimed to explore the value of contrast-enhanced ultrasound (CEUS) in early prediction of pathologic complete response (pCR) and recurrence-free survival (RFS) in locally advanced breast cancer (LABC) patients treated with neoadjuvant chemotherapy
Externí odkaz:
https://doaj.org/article/8eebf1421c834a738e6b524d11c6c618
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
The early prediction of a patient’s response to neoadjuvant chemotherapy (NAC) in breast cancer treatment is crucial for guiding therapy decisions. We aimed to develop a novel approach, named the dual-branch convolutional neural network (DBNN), bas
Externí odkaz:
https://doaj.org/article/f557bf96c9474ef3aeecff5036d93fc9
Autor:
Qi Dong, Hong Yang, Caifeng Wan, Dongdong Zheng, Zhiguo Zhou, Shaowei Xie, Li Xu, Jing Du, Fenghua Li
Publikováno v:
Nanoscale Research Letters, Vol 14, Iss 1, Pp 1-16 (2019)
Abstract Targeted theranostic platform that integrates multi-modal imaging and therapeutic function is emerging as a promising strategy for earlier detection and precise treatment of cancer. Herein, we designed targeted gold-nanoshelled poly (lactic-
Externí odkaz:
https://doaj.org/article/e42eca274b6345488903bf3e0762ea4b
Publikováno v:
International Journal of Nanomedicine
Dongdong Zheng,1,* Caifeng Wan,1,* Hong Yang,2 Li Xu,1 Qi Dong,1 Chengrun Du,3 Jing Du,1 Fenghua Li1 1Department of Ultrasound, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China; 2College of Che
Autor:
Chengrun Du, Jianyun Jiang, Caifeng Wan, Guangsen Pan, Fangfang Kong, Ruiping Zhai, Chaosu Hu, Hongmei Ying
To improve the radiation therapy outcomes by inducing more toxicity for tumors and less for normal tissue and switch microenvironment immunosuppressive caused by expression of PD-L1 and tumor-associated macrophages (TAMs) to immunoreactive, we design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cef296ee2389483ae888f0f4a79c26ae
https://doi.org/10.21203/rs.3.rs-1566279/v1
https://doi.org/10.21203/rs.3.rs-1566279/v1
ObjectiveTo explore the clinical application value of ultrasound elastography (UE) technology in the evaluation of the efficacy of neoadjuvant chemotherapy (NAC) at different time-points in patients with locally advanced breast cancer.MethodsTwo grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9714c7dfc8e2bdfd177dee5eb592f0
https://doi.org/10.21203/rs.3.rs-1371615/v1
https://doi.org/10.21203/rs.3.rs-1371615/v1
Autor:
Zhiguo Zhou, Dongdong Zheng, Shaowei Xie, Caifeng Wan, Qi Dong, Hong Yang, Fenghua Li, Jing Du, Li Xu
Publikováno v:
Journal of Biomaterials Applications. 35:430-445
A multifunctional targeted nanoplatform combining photothermal therapy and chemotherapy has emerged as a promising strategy for comprehensive therapies of breast cancer. In this study, we constructed human epidermal growth factor receptor 2 (Her2)-ta
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Deep convolutional neural networks (DCNNs) have been successfully used in semantic segmentation of high-resolution remote sensing images (HRSIs). However, this task still suffers from intra-class inconsistency and boundary blur due to high intra-clas
Externí odkaz:
https://doaj.org/article/0faaf8915b014e4da793f8a45be5b26e