Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jingshan Gong"'
Autor:
Shihua Dou, MD, Zhuofeng Li, BS, Zhenbin Qiu, MD, Jing Zhang, PhD, Yaxi Chen, MD, Shuyuan You, MD, Mengmin Wang, MD, Hongsheng Xie, MD, Xiaoxiang Huang, MD, Yun Yi Li, Jingjing Liu, MD, Yuxin Wen, MD, Jingshan Gong, PhD, Fanli Peng, MD, Wenzhao Zhong, PhD, Xuegong Zhang, PhD, Lin Yang, PhD
Publikováno v:
JTCVS Open, Vol 21, Iss , Pp 290-303 (2024)
Objectives: To develop computed tomography (CT)-based models to increase the prediction accuracy of spread through air spaces (STAS) in clinical-stage T1N0 lung adenocarcinoma. Methods: Three cohorts of patients with stage T1N0 lung adenocarcinoma (n
Externí odkaz:
https://doaj.org/article/f0debae2f789487eb217ae6841d640c5
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Programmed cell death ligand 1 (PD-L1), as a reliable predictive biomarker, plays an important role in guiding immunotherapy of lung cancer. To investigate the value of CT-based deep learning radiomics signature to predict PD-L1 e
Externí odkaz:
https://doaj.org/article/fa1b60fcc47c4e4d92f8cc229b9827b4
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
PurposeThis study aimed to develop and validate a cine cardiovascular magnetic resonance (CMR)-based radiomics nomogram model for predicting microvascular obstruction (MVO) following reperfusion in patients with ST-segment elevation myocardial infarc
Externí odkaz:
https://doaj.org/article/cfcd8d72f8364635a92008c7b1ec1a49
Autor:
Shuxing Wang, Xiaowen Liu, Yu Wu, Changsi Jiang, Yan Luo, Xue Tang, Rui Wang, Xiaochun Zhang, Jingshan Gong
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionLymphovascular space invasion (LVSI) is associated with lymph node metastasis and poor prognosis in cervical cancer. In this study, we investigated the potential of radiomics, derived from magnetic resonance (MR) images using habitat anal
Externí odkaz:
https://doaj.org/article/f51971908dce4b83bd940a25a57cdb48
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
ObjectivesThis study aimed to explore the relationship between computed tomography (CT)-based radiomic phenotypes and genomic profiles, including expression of programmed cell death-ligand 1 (PD-L1) and the 10 major genes, such as epidermal growth fa
Externí odkaz:
https://doaj.org/article/39056a759b1642599f49f3bfb73c9eb6
Publikováno v:
Cancer Imaging, Vol 18, Iss 1, Pp 1-9 (2018)
Abstract Objective To investigate whether radiomic features can be surrogate biomarkers for epidermal growth factor receptor (EGFR) mutation statuses. Materials and methods Two hundred ninety six consecutive patients, who underwent CT examinations be
Externí odkaz:
https://doaj.org/article/243bba4114824d22ae0a1e062ab04d52
Autor:
Tomohiro Shimizu, Hyo Jin Choi, Ursula Heilmeier, Matthew Tanaka, Andrew J. Burghardt, Jingshan Gong, Nattagan Chanchek, Thomas M. Link, Jonathan Graf, John B. Imboden, Xiaojuan Li
Publikováno v:
Arthritis Research & Therapy, Vol 19, Iss 1, Pp 1-11 (2017)
Abstract Background Although one study showed minimal progression of erosions in patients with rheumatoid arthritis (RA) one year after TNFα inhibition therapy, no studies have investigated very early bone changes after initiation of anti-TNFα trea
Externí odkaz:
https://doaj.org/article/29ec35b017284d3292d03c5e4edb2764
Publikováno v:
Acta radiologica (Stockholm, Sweden : 1987).
Background An abundance of CD8+ tumor infiltrating lymphocytes (TILs) in the center of solid tumors is a reliable predictive biomarker for patients eligible for immunotherapy. Purpose To develop a computed tomography (CT)-based radiomics signature fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77b88a7265f3162051de82709786e9c6
https://pubmed.ncbi.nlm.nih.gov/36120843
https://pubmed.ncbi.nlm.nih.gov/36120843
Autor:
Xiaomei Li, Huifen Zhang, Ting Wen, Hui Ding, Jianlan Liu, Dongxian Zhou, Jingshan Gong, Jintao Hu, Guijing Jia
Publikováno v:
Journal of Radiation Research and Applied Sciences. 16:100581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfe126d78ba2890d16a71f2541501b74
https://doi.org/10.1016/j.jrras.2023.100581
https://doi.org/10.1016/j.jrras.2023.100581
Publikováno v:
Quant Imaging Med Surg
Background Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk factor for recurrence and worse prognosis of lung adenocarcinoma. This study aimed to develop and validate a computed tomography (CT)-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::151416b5d7f0410c4f32389f7f2083cf
https://doi.org/10.21037/qims-20-724
https://doi.org/10.21037/qims-20-724