Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ying Qian Ge"'
Autor:
Bin Yang, Li Zhou, Jing Zhong, Tangfeng Lv, Ang Li, Lu Ma, Jian Zhong, Saisai Yin, Litang Huang, Changsheng Zhou, Xinyu Li, Ying Qian Ge, Xinwei Tao, Longjiang Zhang, Yong Son, Guangming Lu
Publikováno v:
Respiratory Research, Vol 22, Iss 1, Pp 1-15 (2021)
Abstract Background In this study, we tested whether a combination of radiomic features extracted from baseline pre-immunotherapy computed tomography (CT) images and clinicopathological characteristics could be used as novel noninvasive biomarkers fo
Externí odkaz:
https://doaj.org/article/e3cf4d707b954861ac0e0bde2a2e9c6c
Publikováno v:
International Journal of Cardiology. 337:113-118
Background Late gadolinium enhancement (LGE) derived from cardiac magnetic resonance (CMR) represents myocardial fibrosis (MF) and is associated with prognosis in hypertrophic cardiomyopathy (HCM). However, it cannot be evaluated when CMR is unavaila
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1cd2ce80f416ea36e21012867ee5bc1
https://doi.org/10.1016/j.ijcard.2021.04.060
https://doi.org/10.1016/j.ijcard.2021.04.060
Autor:
Guangming Lu, Longjiang Zhang, Xinwei Tao, Changsheng Zhou, Xinyu Li, Jing Zhong, Ang Li, Bin Yang, Saisai Yin, Yong Son, Tangfeng Lv, Ying Qian Ge, Litang Huang, Lu Ma, Li Zhou, Jian Zhong
Publikováno v:
Respiratory Research, Vol 22, Iss 1, Pp 1-15 (2021)
Respiratory Research
Respiratory Research
BackgroundIn this study, we tested whether a combination of radiomic features extracted from baseline pre-immunotherapy computed tomography (CT) images and clinicopathological characteristics could be used as novel noninvasive biomarkers for predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00cad64294e51551fbccdbb4805b86d9
https://doaj.org/article/e3cf4d707b954861ac0e0bde2a2e9c6c
https://doaj.org/article/e3cf4d707b954861ac0e0bde2a2e9c6c
Publikováno v:
Radiology. 304(1)
Background Pancreatic fibrosis and fatty infiltration are associated with postoperative pancreatic fistula (POPF), but accurate preoperative assessment remains a challenge. Iodine concentration (IC) and fat fraction derived from dual-energy CT (DECT)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e25aba8d46031b8bc58962a3c20c71a6
https://pubmed.ncbi.nlm.nih.gov/35315723
https://pubmed.ncbi.nlm.nih.gov/35315723
Autor:
Yumei Li, Jiayin Zhang, Yun Wang, Bin Lu, Zhengyu Jin, Wei Wu, Ying-Qian Ge, Yan Yi, Cheng Xu, Yining Wang, Zhujun Shen
Publikováno v:
Journal of Cardiovascular Computed Tomography. 14:437-443
Background The optimization of myocardial CT perfusion (CTP) assessment remains inconsistent and uncertain. Our aim was to explore the superior analysis selection and incremental improvement of myocardial blood flow (MBF) assessment on CTP in diagnos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5d3f5ae78465484c305d024226aa625
https://doi.org/10.1016/j.jcct.2020.01.010
https://doi.org/10.1016/j.jcct.2020.01.010
Autor:
Harry J.M. Groen, Ying-Qian Ge, Xueqian Xie, Rozemarijn Vliegenthart, Beibei Jiang, Zhihan Xu, Guixue Liu
Publikováno v:
Transl Lung Cancer Res
Translational lung cancer research, 9(4), 1212-1224. AME PUBL CO
Translational lung cancer research, 9(4), 1212-1224. AME PUBL CO
Background: To establish a radiomic approach to identify epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma patients based on CT images, and to distinguish exon-19 deletion and exon-21 L858R mutation. Methods: Two hundred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef468bdd53ad4b5e45ef000003025c83
https://research.rug.nl/en/publications/6324492f-abee-4bc2-ac33-44862127c7f9
https://research.rug.nl/en/publications/6324492f-abee-4bc2-ac33-44862127c7f9
Publikováno v:
European Radiology. 30:6251-6262
To investigate the value of radiomics analysis of dual-energy computed tomography (DECT)–derived iodine maps for preoperative diagnosing cervical lymph nodes (LNs) metastasis in patients with papillary thyroid cancer (PTC). Two hundred and fifty-fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14b6dbd1103b636a3971a896c7739031
https://doi.org/10.1007/s00330-020-06866-x
https://doi.org/10.1007/s00330-020-06866-x
Autor:
Hao Hu, Fei-Yun Wu, Jiang Zhou, Xiao-Quan Xu, Mei-Ping Shen, Ying-Qian Ge, Guo-Yi Su, Yan Zhou, Xin-Wei Tao
Publikováno v:
Journal of X-ray science and technology. 29(4)
OBJECTIVE: To assess the feasibility of using virtual non-contrast (VNC) images derived from dual-energy computed tomography (DECT) to replace true non-contrast (TNC) images of papillary thyroid carcinoma (PTC) patients. METHODS: Images of 96 PTC pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10aed0376775fd9981ecabb1ca51f2bc
https://pubmed.ncbi.nlm.nih.gov/34092693
https://pubmed.ncbi.nlm.nih.gov/34092693
Autor:
Yan Si, Fei-Yun Wu, Xiao-Quan Xu, Guo-Yi Su, Ying-Qian Ge, Mei-Ping Shen, Hao Hu, Yan Zhou, Xin-Wei Tao
Publikováno v:
Academic radiology. 29
Rationale and Objectives To develop and validate 2 iodine maps based radiomics nomograms for preoperatively predicting cervical lymph node metastasis (LNM) and central lymph node metastasis (CLNM) in papillary thyroid cancer (PTC). Materials and Meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c016eea5d1dc70348728f4d39f5a5972
https://pubmed.ncbi.nlm.nih.gov/34366279
https://pubmed.ncbi.nlm.nih.gov/34366279
Autor:
Longjiang Zhang, Chaohui Zhu, Ying-Qian Ge, Hao Dong, Jiahe Tian, Hengshan Ji, Lu Ma, Guangming Lu, Bin Yang, Hong Zhu, Changsheng Zhou
Publikováno v:
Transl Lung Cancer Res
BACKGROUND: To investigate whether radiomic features from ((18)F)-fluorodeoxyglucose positron emission tomography/computed tomography [((18)F)-FDG PET/CT] can predict epidermal growth factor receptor (EGFR) mutation status and prognosis in patients w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f39a672d23652dd779696c29053ff9
https://europepmc.org/articles/PMC7354130/
https://europepmc.org/articles/PMC7354130/
