Jingjing Cui
14 Papers
Jingjing Cui is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 5, co-authored 6 publications.
Chat about Author
Papers
A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma
Pei Nie,Guangjie Yang,Zhenguang Wang,Lei Yan,Wenjie Miao,Dapeng Hao,Jie Wu,Yujun Zhao,Aidi Gong,Jingjing Cui,Yan Jia,Hai-tao Niu +11 more
TL;DR: The CT-based radiomics nomogram, a noninvasive preoperative prediction tool that incorporates the Rad-score and clinical factors, shows favorable predictive efficacy for differentiating AML.wovf from hm-ccRCC with improved diagnostic efficacy.
109
2D and 3D texture analysis to predict lymphovascular invasion in lung adenocarcinoma.
TL;DR: The 2D CTTA nomogram with the 2D signature and clinical predictors incorporated provides the similar performance as the2D signature for individual LVI prediction in LAC, and outperformed the clinical model.
46
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study
Guangjie Yang,Pei Nie,Lei Yan,Mingxin Zhang,Yangyang Wang,Lianzi Zhao,Mingyao Li,Fei Xie,Haizhu Xie,Xianjun Li,Fawei Xiang,Nianshuang Wang,Nan Cheng,Xia Zhao,Ning Wang,Yicong Wang,Chengcheng Chen,Canhua Yun,Jingjing Cui,Shaofeng Duan,Ran Zhang,Dapeng Hao,Ximing Wang,Zhenguang Wang,Haitao Niu +24 more
TL;DR: The radiomics-based tumor heterogeneity can predict outcome and add incremental value to the existing prognostic models in localized ccRCC patients and may provide the opportunity to better surveillance and adjuvant clinical trial design.
30
Radiomics Analysis of Contrast-Enhanced CT Predicts Survival in Clear Cell Renal Cell Carcinoma.
Lei Yan,Guangjie Yang,Jingjing Cui,Wenjie Miao,Yangyang Wang,Yujun Zhao,Ning Wang,Aidi Gong,Na Guo,Pei Nie,Zhenguang Wang +10 more
TL;DR: In this paper, a radiomics nomogram combined clinical factors and Rad-score was developed to estimate overall survival (OS) in patients with clear cell renal cell carcinoma (ccRCC), and assess the incremental value of radiomics for OS estimation.
Distinguishing Parotid Polymorphic Adenoma and Warthin Tumor Based on the CT Radiomics Nomogram: A Multicenter Study.
TL;DR: In this paper , a radiomics prediction model was developed to distinguish parotid polymorphic adenomas (PAs) and warthin tumors (WTs) using clinical data and enhanced computed tomography (CT) from a multicenter cohort.
10