Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dingpin Huang"'
Autor:
Dingpin Huang, Chen Lin, Yangyang Jiang, Enhui Xin, Fangyi Xu, Yi Gan, Rui Xu, Fang Wang, Haiping Zhang, Kaihua Lou, Lei Shi, Hongjie Hu
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveTo establish a radiomics model based on intratumoral and peritumoral features extracted from pre-treatment CT to predict the major pathological response (MPR) in patients with non-small cell lung cancer (NSCLC) receiving neoadjuvant immunoch
Externí odkaz:
https://doaj.org/article/bf4bc36a6f0f4eb09e07105aacd6ca55
Autor:
Dong Xie, Fangyi Xu, Wenchao Zhu, Cailing Pu, Shaoyu Huang, Kaihua Lou, Yan Wu, Dingpin Huang, Cong He, Hongjie Hu
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo assess the validity of pre- and posttreatment computed tomography (CT)-based radiomics signatures and delta radiomics signatures for predicting progression-free survival (PFS) in stage III-IV non-small-cell lung cancer (NSCLC) patients af
Externí odkaz:
https://doaj.org/article/e0df7d8f3f584e62ad5333ff150e8d04
Autor:
Jinjin Liu, Haoli Xu, Qian Chen, Tingting Zhang, Wenshuang Sheng, Qun Huang, Jiawen Song, Dingpin Huang, Li Lan, Yanxuan Li, Weijian Chen, Yunjun Yang
Publikováno v:
EBioMedicine, Vol 43, Iss , Pp 454-459 (2019)
Background: Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH from routinely available variables by using support vector machine (SVM) metho
Externí odkaz:
https://doaj.org/article/9033fa232cfd42508f9f7ecbcd30f6f1
Publikováno v:
Medicine; 7/12/2024, Vol. 103 Issue 28, p1-4, 4p
Autor:
Dingpin Huang, Li Lan, Qian Chen, Qun Huang, Yunjun Yang, Jinjin Liu, Wenshuang Sheng, Jiawen Song, Haoli Xu, Yanxuan Li, Tingting Zhang, Weijian Chen
Publikováno v:
EBioMedicine. 43:454-459
Background Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH from routinely available variables by using support vector machine (SVM) method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37f5b8dc4ffeda0bc9053d799248f8d5
https://doi.org/10.1016/j.ebiom.2019.04.040
https://doi.org/10.1016/j.ebiom.2019.04.040
Autor:
Dong Xie, Fangyi Xu, Wenchao Zhu, Cailing Pu, Shaoyu Huang, Kaihua Lou, Yan Wu, Dingpin Huang, Cong He, Hongjie Hu
Publikováno v:
Frontiers in Oncology; 10/6/2022, Vol. 12, p1-14, 14p
Autor:
Dingpin Huang, Liaoyi Lin, Yuandi Zhuang, Peng Li, Tianyi Xia, Lanting Xiang, Huibo Yu, Jinjin Liu, Gangze Fu, Yunjun Yang
Publikováno v:
European journal of radiology. 139
Objective We aimed to investigate the risk factors of invasive pulmonary adenocarcinoma, especially to report and validate the use of our newly identified arc concave sign in predicting invasiveness of pure ground-glass nodules (pGGNs). Methods From
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b75b50441106035a870a3caa2206d74c
https://pubmed.ncbi.nlm.nih.gov/33836337
https://pubmed.ncbi.nlm.nih.gov/33836337
Autor:
Yuandi Zhuang, Xiaowei Ji, Liaoyi Lin, Yunjun Yang, Tianyi Xia, Dingpin Huang, Mengting Cai, Gangze Fu, Jinjin Liu
Publikováno v:
European Journal of Radiology. 133:109332
Purpose We aim to investigate the risk factors influencing the growth of residual nodule (RN) in surgical patients with adenocarcinoma presenting as multifocal ground-glass nodules (GGNs). Method From January 2014 to June 2018, we enrolled 238 patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a506fb01d21325b5ec1c5b537f9909
https://doi.org/10.1016/j.ejrad.2020.109332
https://doi.org/10.1016/j.ejrad.2020.109332