Development and validation of a radiomics-based nomogram for predicting pathological grade of upper urinary tract urothelial carcinoma by Yanghuang Zheng, Hongjin Shi, Shi Fu, Haifeng Wang, Xin Li, Zhi Li, Bing Hai, Jinsong Zhang

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Correlation analysis of clinical parameters and prognosis in different pathological grades of primary IgA nephropathy by Ren Hui-min, Yang Shu-fen, Song Xue, Lu Chen

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Prediction of pathological grade of oral squamous cell carcinoma and construction of prognostic model based on deep learning algorithm by Tingru Shao, Peirong Ni, Chun Wang, Jiahui Li, Xiaozhi Lv

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Added value of multifrequency magnetic resonance elastography in predicting pathological grading of pancreatic neuroendocrine neoplasms by Jiaxin Yuan, Jiawei Liu, Tingting Wen, Liqin Wang, Zhenpeng Peng, Ning Zhang, Shi-Ting Feng, Jinhui Yu, Siya Shi, Yanji Luo

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Using apparent diffusion coefficient maps and radiomics to predict pathological grade in upper urinary tract urothelial carcinoma by Rile Nai, Kexin Wang, Shuai Ma, Zuqiang Xi, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

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Diagnostic value of 18F-PSMA-1007 PET/CT for predicting the pathological grade of prostate cancer by Xiao-Bo Niu, Yan-Peng Li, Jun Wang, Xiao-Li Mei, Xue-Yan Zhao, Ting-Ting Liu, Sha-Sha Xu, Xing-Min Han, Jing-Liang Cheng

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GLPp16 gene amplification induces susceptibility to high-grade urothelial carcinoma by Yuxin Liu, Qihao Sun, Houtao Long, Daofeng Zhang, Junhao Zheng, Haiyang Zhang, Haiyang Zhang, Haiyang Zhang

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Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading by Huang H, Pan X, Zhang Y, Yang J, Chen L, Zhao Q, Huang L, Lu W, Deng Y, Huang Y, Ding K

Subjects: “…Pathological grading…”
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Correlation of renal pathological changes with survival and prognosis in patients with diabetic nephropathy by TAN Xiao-yan, DING Guo-hua, YANG Ding-ping, YANG Hong-xia

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Non-invasive PNET grading using CT radiomics and machine learning by Faeze Salahshour, Mahsa Taherzadeh, Ghasem Hajianfar, Gholamreza Bayat, Farid Azmoudeh Ardalan, Soroush Bagheri, Arman Esmailzadeh, Majid Kahe, Sajad P. Shayesteh

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Evaluation of survival rate in patients with tongue squamous cell carcinoma: a retrospective single-center study by Narges Ghazi, Nasrollah Saghravanian, Kazem Anvari, Shadi Saghafi Khadem, Melika Hoseinzadeh, Reza Barzanouni

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Impact of Prebiopsy Multiparametric Magnetic Resonance Imaging on Prostate Cancer Detection in Switzerland by Thomas Paul Scherer, Dominik Menges, Uwe Bieri, Lea Wildisen, Katharina Staehelin, Daniel Eberli, Sabine Rohrmann, Cédric Poyet

Subjects: “…International Society of Urological Pathology grade group…”
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Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate ca... by Zhiping Li, Liqin Yang, Ximing Wang, Huijing Xu, Wen Chen, Shuchao Kang, Yasheng Huang, Chang Shu, Feng Cui, Yongsheng Zhang

Subjects: “…International society of urological pathology grading…”
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CT-based AI framework leveraging multi-scale features for predicting pathological grade and Ki67 index in clear cell renal cell carcinoma: a multicenter study by Huancheng Yang, Yueyue Zhang, Fan Li, Weihao Liu, Haoyang Zeng, Haoyuan Yuan, Zixi Ye, Zexin Huang, Yangguang Yuan, Ye Xiang, Kai Wu, Hanlin Liu

Subjects: “…Renal cell carcinoma pathology/grading…”
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Grading of clear cell renal cell carcinoma using diffusion MRI with a multimodal apparent diffusion model by Shuang Wang, Tuo Ji, Dan Yu, Yimeng Dai, Butian Zhang, Lin Liu

Subjects: “…World Health Organization/international society of urological pathology grading system…”
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