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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18F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for pancreatic ductal adenocarcinoma before surgery by Gong Zhang, Chengkai Bao, Yanzhe Liu, Zizheng Wang, Lei Du, Yue Zhang, Fei Wang, Baixuan Xu, S. Kevin Zhou, Rong Liu

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Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors by Shuangyang Mo, Cheng Huang, Yingwei Wang, Shanyu Qin

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Prediction of WHO/ISUP Grading of Renal Clear Cell Carcinoma by Quantitative Parameters of CT Enhancement Scanning by Xiaojin ZHANG, Jian ZHAI, Hu ZHANG, Min XIE, Shujian WU, Yong GUO

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Application of Radiomics Analysis Based on CT Combined With Machine Learning in Diagnostic of Pancreatic Neuroendocrine Tumors Patient’s Pathological Grades by Tao Zhang, Tao Zhang, YueHua Zhang, Xinglong Liu, Hanyue Xu, Chaoyue Chen, Xuan Zhou, Yichun Liu, Xuelei Ma, Xuelei Ma

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Predictive Value of the Texture Analysis of Enhanced Computed Tomographic Images for Preoperative Pancreatic Carcinoma Differentiation by Zhang Longlong, Li Xinxiang, Ge Yaqiong, Wei Wei

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A Nomogram Prediction Model for Predicting Pathological Stage and Grade of Endometrial Carcinoma Based on Inflammation and Cancer Antigen 125 by Fangfang Jing, Mingjun Li, Xinxin Lv

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Development and validation of a prognostic model incorporating tumor thrombus grading for nonmetastatic clear cell renal cell carcinoma with tumor thrombus: A multicohort study by Le Qu, Hui Chen, Qi Chen, Silun Ge, Aimin Jiang, Nengwang Yu, Yulin Zhou, Michał Kunc, Ye Zhou, Xiang Feng, Wei Zhai, Zhenjie Wu, Miaoxia He, Yaoming Li, Rui Chen, Bo Han, Xing Zeng, Yao Fu, Changwei Ji, Xiang Fan, Guangyuan Zhang, Cheng Zhao, Taile Jing, Chenchen Feng, Hongwei Zhao, Di Sun, Liang Wang, Sheng Tai, Cheng Zhang, Shaohao Chen, Yixun Liu, Haifeng Wang, Jinli Gao, Yufeng Gu, He Miao, Tangliang Zhao, Xiaoming Yi, Chaopeng Tang, Dian Fu, Haowei He, Qiu Rao, Wenquan Zhou, Ning Xu, Gongxian Wang, Chaozhao Liang, Zhiyu Liu, Dan Xia, Xiongbing Zu, Ming Chen, Hongqian Guo, Weijun Qin, Zhe Wang, Wei Xue, Benkang Shi, Shaogang Wang, Junhua Zheng, Cheng Chen, Łukasz Zapała, Jingping Ge, Linhui Wang

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Meningioma in Focus: Charting the Terrain of Imaging, Grading, and Pathological Vistas by Ali Salehi, Behrooz Mohammad khani Pordanjani, Farahnaz Bidari Zerehpoosh, Fatemeh Moosavizadeh, Maryam Haghighimorad

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Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas by Jun Zhao, Tiejun Gan, Jianhong Zhao, Junjie Mao, Wenjuan Zhang, Xiaoying Guan, Junlin Zhou

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Prediction of ESRD in IgA Nephropathy Patients from an Asian Cohort: A Random Forest Model by Yexin Liu, Yan Zhang, Di Liu, Xia Tan, Xiaofang Tang, Fan Zhang, Ming Xia, Guochun Chen, Liyu He, Letian Zhou, Xuejing Zhu, Hong Liu

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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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Utility of Newly Proposed Grading System From International Association for the Study of Lung Cancer for Invasive Lung Adenocarcinoma by Atsushi Kagimoto, MD, Yasuhiro Tsutani, MD, PhD, Takahiro Kambara, MD, Yoshinori Handa, MD, PhD, Takashi Kumada, MD, Takahiro Mimae, MD, PhD, Kei Kushitani, MD, PhD, Yoshihiro Miyata, MD, PhD, Yukio Takeshima, MD, PhD, Morihito Okada, MD, PhD

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Application of CT-based radiomics combined with laboratory tests such as AFP and PIVKA-II in preoperative prediction of pathologic grade of hepatocellular carcinoma by Meng Wu, Haijia Yu, Siwen Pang, Aie Liu, Jianhua Liu

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A computed tomography urography‐based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma by Yanghuang Zheng, Hongjin Shi, Shi Fu, Haifeng Wang, Jincheng Wang, Xin Li, Zhi Li, Bing Hai, Jinsong Zhang

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Spectral CT - a new supplementary method for preoperative assessment of pathological grades of esophageal squamous cell carcinoma by Yi Wang, Weizhong Tian, Shuangfeng Tian, Liang He, Jianguo Xia, Ji Zhang

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CT-based radiomics for predicting pathological grade in hepatocellular carcinoma by Yue Huang, Yue Huang, Lingfeng Chen, Lingfeng Chen, Qingzhu Ding, Qingzhu Ding, Han Zhang, Han Zhang, Yun Zhong, Yun Zhong, Xiang Zhang, Xiang Zhang, Shangeng Weng, Shangeng Weng

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Knockdown of Kremen2 Inhibits Tumor Growth and Migration in Gastric Cancer by Beibei Chen, Beibei Chen, Sai-Qi Wang, Sai-Qi Wang, Jinxi Huang, Weifeng Xu, Huifang Lv, Caiyun Nie, Jianzheng Wang, Huichen Zhao, Yingjun Liu, Jitian Li, Canrong Lu, Jianying Zhang, Xiao-Bing Chen, Xiao-Bing Chen

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Automated discrimination of lower and higher grade gliomas based on histopathological image analysis by Hojjat Seyed Mousavi, Vishal Monga, Ganesh Rao, Arvind U. K. Rao

Subjects: “…Brain cancer, cell segmentation, computer-aided diagnosis, decision tree, glioblastoma multiforme, low-grade glioma, micro-vascular proliferation, morphological transformation, pathological grading, pseudopalisading necrosis, spatial analysis, spatial filters…”
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Correlation Between Size of Renal Cell Carcinoma and Its Grade, Stage, and Histological Subtype by Behrang Abadpour, Nasim Zamani, Reza Bashtar, Hamidreza Abdi, Mahmoud Parvin, Ali Tabibi

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