Yangyang Wang
Qingdao University
9 Papers
Yangyang Wang is an academic researcher from Qingdao University. The author has contributed to research in topics: Medicine & Nomogram. The author has an hindex of 1, co-authored 3 publications.
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Papers
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.
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The value of 18F-FDG PET/CT-based radiomics in predicting perineural invasion and outcome in non-metastatic colorectal cancer
Jie Ma,Dong Guo,Wenjie Miao,Yangyang Wang,Lei Yan,Fengyu Wu,Chuantao Zhang,Ran Zhang,Panli Zuo,Guangjie Yang,Zhenguang Wang +10 more
TL;DR: The nomogram, integrating clinical data, PET/CT features, metabolic parameters, and radiomics, performs well in predicting PNI status and is associated with the outcome in patients with non-metastatic CRC.
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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.
An unintentional pelvic mass --An unexpected diagnosis.
TL;DR: In this paper , a 57-year-old woman showed pelvic mass on routine health checkup using pelvic ultrasound, but the mass was not felt with poor motion, hard quality, and no tenderness on anorectal digital examination.
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Low 18F-fluorodeoxyglucose dose positron emission tomography assisted by a deep-learning image-denoising technique in patients with lymphoma
Lei Yan,Zhao Wang,Dacheng Li,Yangyang Wang,Guangjie Yang,Yujun Zhao,Yan Kong,Rui Wang,Runze Wu,Zhenguang Wang +9 more
TL;DR: The visual image quality of the LD group was improved compared with the RD group, and the negative and positive results remained unchanged, which enables accurate tumor assessment and quantification with LD [18F]FDG PET imaging in patients with lymphoma.
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