Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Wufei Chen"'
Autor:
Ruizhi Wang, Hengtian Xu, Wufei Chen, Liang Jin, Zhuangxuan Ma, Lei Wen, Hongwei Wang, Kun Cao, Xia Du, Ming Li
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionGadoxetic acid–enhanced magnetic resonance imaging (MRI) contributes to evaluating the prognosis of small hepatocellular carcinoma (sHCC) following treatment. We have investigated the potential role of gadoxetic acid–enhanced MRI base
Externí odkaz:
https://doaj.org/article/4499c8275ca74cb99099354082a39c70
Autor:
Wufei Chen, Ruizhi Wang, Zhuangxuan Ma, Yanqing Hua, Dingbiao Mao, Hao Wu, Yuling Yang, Cheng Li, Ming Li
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeThis study aims to explore the value of the delta-radiomics (DelRADx) model in predicting the invasiveness of lung adenocarcinoma manifesting as radiological part-solid nodules (PSNs).MethodsA total of 299 PSNs histopathologically confirmed as
Externí odkaz:
https://doaj.org/article/c74df7a4cef94cf1b8098cac7e2896a3
Autor:
Wufei Chen, Ming Li, Dingbiao Mao, Xiaojun Ge, Jiaofeng Wang, Mingyu Tan, Weiling Ma, Xuemei Huang, Jinjuan Lu, Cheng Li, Yanqing Hua, Hao Wu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Controversy and challenges remain regarding the cognition of lung adenocarcinomas presented as subcentimeter ground glass nodules (GGNs). Postoperative lymphatic involvement or intrapulmonary metastasis is found in approximately 15% to 20% o
Externí odkaz:
https://doaj.org/article/102fcd85f20d45a28566feae15643662
Autor:
Xuemei Huang, Yingli Sun, Mingyu Tan, Weiling Ma, Pan Gao, Lin Qi, Jinjuan Lu, Yuling Yang, Kun Wang, Wufei Chen, Liang Jin, Kaiming Kuang, Shaofeng Duan, Ming Li
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesEGFR testing is a mandatory step before targeted therapy for non-small cell lung cancer patients. Combining some quantifiable features to establish a predictive model of EGFR expression status, break the limitations of tissue biopsy.Materia
Externí odkaz:
https://doaj.org/article/1de3b437bb6e47d38fe0559efc3a6a27
Autor:
Wufei Chen, Yanqing Hua, Dingbiao Mao, Hao Wu, Mingyu Tan, Weiling Ma, Xuemei Huang, Jinjuan Lu, Cheng Li, Ming Li
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
PurposeThis study aims to develop a CT-based radiomics approach for identifying the uncommon epidermal growth factor receptor (EGFR) mutation in patients with non-small cell lung cancer (NSCLC).MethodsThis study involved 223 NSCLC patients (107 with
Externí odkaz:
https://doaj.org/article/02b2e9517384468e8455f2e14f0f0db6
Autor:
Wei Zhao, Wei Zhang, Yingli Sun, Yuxiang Ye, Jiancheng Yang, Wufei Chen, Pan Gao, Jianying Li, Cheng Li, Liang Jin, Peijun Wang, Yanqing Hua, Ming Li
Publikováno v:
Thoracic Cancer, Vol 10, Iss 10, Pp 1893-1903 (2019)
Background The aim of this study was to investigate the influence of convolution kernel and iterative reconstruction on the diagnostic performance of radiomics and deep learning (DL) in lung adenocarcinomas. Methods A total of 183 patients with 215 l
Externí odkaz:
https://doaj.org/article/0fe024b3f4984a50a5aaa37110be53c0
Autor:
Mingyu Tan, Weiling Ma, Yingli Sun, Pan Gao, Xuemei Huang, Jinjuan Lu, Wufei Chen, Yue Wu, Liang Jin, Lin Tang, Kaiming Kuang, Ming Li
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesTo investigate the value of imaging in predicting the growth rate of early lung adenocarcinoma.MethodsFrom January 2012 to June 2018, 402 patients with pathology-confirmed lung adenocarcinoma who had two or more thin-layer CT follow-up imag
Externí odkaz:
https://doaj.org/article/bcc86b2cc0fb40d48eb834a1a7a9a062
Autor:
Ruizhi, Wang, Nan, Du, Liang, Jin, Wufei, Chen, Zhuangxuan, Ma, Tianyu, Zhang, Jie, Xu, Wei, Zhang, Xiaolin, Wang, Ming, Li
Publikováno v:
Polymers. 14(21)
Bladder cancer and prostate cancer are the most common malignant tumors of the genitourinary system. Conventional strategies still face great challenges of high recurrence rate and severe trauma. Therefore, minimally invasive photothermal therapy (PT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c16c2ef4fa426c2ca0b1ffc17cfd2232
https://pubmed.ncbi.nlm.nih.gov/36365766
https://pubmed.ncbi.nlm.nih.gov/36365766
Autor:
Cheng Li, Weiling Ma, Jiaofeng Wang, Mingyu Tan, Dingbiao Mao, Yanqing Hua, Xiaojun Ge, Hao Wu, Wufei Chen, Xuemei Huang, Ming Li, Jinjuan Lu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports
Scientific Reports
Controversy and challenges remain regarding the cognition of lung adenocarcinomas presented as subcentimeter ground glass nodules (GGNs). Postoperative lymphatic involvement or intrapulmonary metastasis is found in approximately 15% to 20% of these c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77c23d17df06e665d0f065530c458e16
https://doaj.org/article/102fcd85f20d45a28566feae15643662
https://doaj.org/article/102fcd85f20d45a28566feae15643662
Autor:
Yingli Sun, Liang Jin, Wufei Chen, Wei Zhao, Cheng Li, Jianying Li, Wei Zhang, Peijun Wang, Jiancheng Yang, Yanqing Hua, Yuxiang Ye, Pan Gao, Ming Li
Publikováno v:
Thoracic Cancer
Thoracic Cancer, Vol 10, Iss 10, Pp 1893-1903 (2019)
Thoracic Cancer, Vol 10, Iss 10, Pp 1893-1903 (2019)
Background The aim of this study was to investigate the influence of convolution kernel and iterative reconstruction on the diagnostic performance of radiomics and deep learning (DL) in lung adenocarcinomas. Methods A total of 183 patients with 215 l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70c77c206e7e43b9379ef4f99e00b2f5
https://doi.org/10.1111/1759-7714.13161
https://doi.org/10.1111/1759-7714.13161