J
Jing Zhong
Researcher at Nanjing University
Publications - 7
Citations - 160
Jing Zhong is an academic researcher from Nanjing University. The author has contributed to research in topics: Nomogram & Medicine. The author has an hindex of 2, co-authored 5 publications receiving 79 citations.
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Journal ArticleDOI
Risk factors for adverse clinical outcomes with COVID-19 in China: a multicenter, retrospective, observational study.
Peng Peng Xu,Rong Hua Tian,Song Luo,Zi Yue Zu,Bin Fan,Xi Ming Wang,Kai Xu,Jiang Tao Wang,Juan Zhu,Ji Chan Shi,Feng Chen,Bing Wan,Zhi Han Yan,Rong Pin Wang,Wen Chen,Wen Hui Fan,Can Zhang,Meng Jie Lu,Zhi Yuan Sun,Chang Sheng Zhou,Li Na Zhang,Fei Xia,Li Qi,Wei Zhang,Jing Zhong,Xiao Xue Liu,Qi Rui Zhang,Guang Ming Lu,Long Jiang Zhang +28 more
TL;DR: The risk factors of older age, multiple comorbidities, leukocytosis, lymphopenia and higher CT severity score could help clinicians identify patients with potential adverse events.
Journal ArticleDOI
Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer
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 +15 more
TL;DR: CT-based radiomic features and clinicopathological factors can be used prior to the initiation of immunotherapy for identifying NSCLC patients who are the most likely to benefit from the therapy.
Journal ArticleDOI
Development and Validation of a Radiomics Nomogram Based on 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and Clinicopathological Factors to Predict the Survival Outcomes of Patients With Non-Small Cell Lung Cancer.
Bin Yang,Jian Zhong,Jing Zhong,Lu Ma,Ang Li,Hengshan Ji,Changsheng Zhou,Shaofeng Duan,Qinggen Wang,Chaohui Zhu,Jiahe Tian,Longjiang Zhang,Feng Wang,Hong Zhu,Guangming Lu +14 more
TL;DR: A radiomic nomogram based on 18F-FDG PET/CT rad-score and clinicopathological factors had good predictive performance for the survival outcome, offering feasible, and practical guidance for individualized management of patients with NSCLC.
Journal ArticleDOI
Value of 18F-FDG PET/CT-Based Radiomics Nomogram to Predict Survival Outcomes and Guide Personalized Targeted Therapy in Lung Adenocarcinoma With EGFR Mutations.
Bin Yang,Hengshan Ji,Jing Zhong,Lu Ma,Jian Zhong,Hao Dong,Changsheng Zhou,Shaofeng Duan,Chaohui Zhu,Jiahe Tian,Longjiang Zhang,Feng Wang,Hong Zhu,Guangming Lu +13 more
TL;DR: Development and validation of a radiomics nomogram based on PET/CT radiomic features combined with clinicopathological factors may guide targeted therapy for patients with lung adenocarcinoma with EGFR mutations.
Journal ArticleDOI
Coronary artery calcification and risk of mortality and adverse outcomes in patients with COVID-19: a Chinese multicenter retrospective cohort study.
Song Luo,Xiao Ming Qiu,Xian Jun Zeng,Dong You Zhang,Bing Wan,Xiao Li,Rong Hua Tian,Jiang Tao Wang,Mei Yun Wang,Juan Zhu,Can Zhang,Ran Yang,Feng Chen,Yi Liang,Bin Fan,Hui Jie Jiang,Xi Ming Wang,Wei Chen,Kai Xu,Jian Bo Gao,Chao Du,Li Na Zhang,Yi Yang,Shi Jun Jia,Hao Ren,Zi Yue Zu,Peng Peng Xu,Jing Zhong,Yu Ting Yang,Chang Sheng Zhou,Wei Zhang,Xiao Xue Liu,Qi Rui Zhang,Fei Xia,Li Qi,Meng Jie Lu,Long Jiang Zhang,Yu Xiu Liu,Guangming Lu +38 more
TL;DR: Wang et al. as discussed by the authors used multivariable Cox regression analysis and Kaplan-Meier plots to explore the association between coronary artery calcification and in-hospital mortality and adverse events in patients with COVID-19.