Cargando…

Validity of a multiphase CT-based radiomics model in predicting the Leibovich risk groups for localized clear cell renal cell carcinoma: an exploratory study

OBJECTIVE: To develop and validate a multiphase CT-based radiomics model for preoperative risk stratification of patients with localized clear cell renal cell carcinoma (ccRCC). METHODS: A total of 425 patients with localized ccRCC were enrolled and divided into training, validation, and external te...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Huayun, Wei, Zongjie, Xv, Yingjie, Tan, Hao, Liao, Fangtong, Lv, Fajin, Jiang, Qing, Chen, Tao, Xiao, Mingzhao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564697/ https://www.ncbi.nlm.nih.gov/pubmed/37816901 http://dx.doi.org/10.1186/s13244-023-01526-2

Ejemplares similares

Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study
por: Xv, Yingjie, et al.
Publicado: (2021)

A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma
por: Xv, Yingjie, et al.
Publicado: (2021)

Multiphasic CT-Based Radiomics Analysis for the Differentiation of Benign and Malignant Parotid Tumors
por: Yu, Qiang, et al.
Publicado: (2022)

Multiphase CT radiomics nomogram for preoperatively predicting the WHO/ISUP nuclear grade of small (< 4 cm) clear cell renal cell carcinoma
por: Gao, Yankun, et al.
Publicado: (2023)

UK Multicenter Prospective Evaluation of the Leibovich Score in Localized Renal Cell Carcinoma: Performance has Altered Over Time
por: Vasudev, Naveen S., et al.
Publicado: (2020)

Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison
por: Tang, Van Ha, et al.
Publicado: (2023)

Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics
por: Xiao, Dao-xiong, et al.
Publicado: (2023)

Differentiation of Clear Cell and Non-clear-cell Renal Cell Carcinoma through CT-based Radiomics Models and Nomogram
por: Cheng, Delu, et al.
Publicado: (2023)

Critical Appraisal of Leibovich 2018 and GRANT Models for Prediction of Cancer-Specific Survival in Non-Metastatic Chromophobe Renal Cell Carcinoma
por: Piccinelli, Mattia Luca, et al.
Publicado: (2023)

Differentiation of pulmonary sclerosing pneumocytoma from solid malignant pulmonary nodules by radiomic analysis on multiphasic CT
por: Ni, Xiao‐Qiong, et al.
Publicado: (2020)

Feasibility Study on Predicting Recurrence Risk of Bladder Cancer Based on Radiomics Features of Multiphase CT Images
por: Qian, Jing, et al.
Publicado: (2022)

Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation
por: Jiang, Yi, et al.
Publicado: (2020)

Predicting Kirsten Rat Sarcoma Virus Gene Mutation Status in Patients With Colorectal Cancer by Radiomics Models Based on Multiphasic CT
por: Hu, Jianfeng, et al.
Publicado: (2022)

Multiphase Contrast-Enhanced CT-Based Machine Learning Models to Predict the Fuhrman Nuclear Grade of Clear Cell Renal Cell Carcinoma
por: Lai, Shengsheng, et al.
Publicado: (2021)

GRade, Age, Nodes, and Tumor (GRANT) compared with Leibovich score to predict survival in localized renal cell carcinoma: A nationwide study
por: Juul, Simon, et al.
Publicado: (2022)

CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma
por: Chen, Menglin, et al.
Publicado: (2021)

Radiomics Analysis of Contrast-Enhanced CT Predicts Survival in Clear Cell Renal Cell Carcinoma
por: Yan, Lei, et al.
Publicado: (2021)

An exploratory study of CT radiomics using differential network feature selection for WHO/ISUP grading and progression-free survival prediction of clear cell renal cell carcinoma
por: Yin, Fu, et al.
Publicado: (2022)

An Exploratory Radiomics Approach to Quantifying Pulmonary Function in CT Images
por: Lafata, Kyle J., et al.
Publicado: (2019)

A Reliable Prediction Model for Renal Cell Carcinoma Subtype Based on Radiomic Features from 3D Multiphase Enhanced CT Images
por: Zhang, Haijie, et al.
Publicado: (2021)

A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma
por: Meng, Xiaoli, et al.
Publicado: (2020)

Identifying BAP1 Mutations in Clear-Cell Renal Cell Carcinoma by CT Radiomics: Preliminary Findings
por: Feng, Zhan, et al.
Publicado: (2020)

CT-Based Radiomics Signature for Preoperative Prediction of Coagulative Necrosis in Clear Cell Renal Cell Carcinoma
por: Xu, Kai, et al.
Publicado: (2020)

External Validation of the 2003 Leibovich Prognostic Score in Patients Randomly Assigned to SORCE, an International Phase III Trial of Adjuvant Sorafenib in Renal Cell Cancer
por: Oza, Bhavna, et al.
Publicado: (2022)

Fluid Mechanics and the Environment Dynamical Approaches: A Collection of Research Papers Written in Commemoration of the 60th Birthday of Sidney Leibovich
por: Lumley, John L
Publicado: (2001)

Radiomics Analysis on Multiphase Contrast-Enhanced CT: A Survival Prediction Tool in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
por: Meng, Xiang-Pan, et al.
Publicado: (2020)

Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols
por: Budai, Bettina Katalin, et al.
Publicado: (2022)

A Preliminary Study for Distinguish Hormone-Secreting Functional Adrenocortical Adenoma Subtypes Using Multiparametric CT Radiomics-Based Machine Learning Model and Nomogram
por: Zheng, Yineng, et al.
Publicado: (2020)

A convention-radiomics CT nomogram for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma
por: Ma, Yanqing, et al.
Publicado: (2021)

Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Through CT-Based Tumoral and Peritumoral Radiomics
por: Ma, Yanqing, et al.
Publicado: (2022)

CT Perfusion in the Characterisation of Renal Lesions: An Added Value to Multiphasic CT
por: Mazzei, Francesco Giuseppe, et al.
Publicado: (2014)

Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy
por: Polk, Stuart L, et al.
Publicado: (2020)

Development of a 7-miRNA prognostic signature for patients with bladder cancer
por: Xv, Yingjie, et al.
Publicado: (2022)

A multiphase contrast-enhanced CT radiomics model for prediction of human epidermal growth factor receptor 2 status in advanced gastric cancer
por: Ma, Tingting, et al.
Publicado: (2022)

T1 Stage Clear Cell Renal Cell Carcinoma: A CT-Based Radiomics Nomogram to Estimate the Risk of Recurrence and Metastasis
por: Kang, Bing, et al.
Publicado: (2020)

Development and validation of A CT-based radiomics nomogram for prediction of synchronous distant metastasis in clear cell renal cell carcinoma
por: Yu, Xinxin, et al.
Publicado: (2023)

CT radiomics for differentiating fat poor angiomyolipoma from clear cell renal cell carcinoma: Systematic review and meta-analysis
por: Dehghani Firouzabadi, Fatemeh, et al.
Publicado: (2023)

Exploratory Study of a CT Radiomics Model for the Classification of Small Cell Lung Cancer and Non-small-Cell Lung Cancer
por: Liu, Shihe, et al.
Publicado: (2020)

CT Radiomics Model for Predicting the Ki-67 Index of Lung Cancer： An Exploratory Study
por: Fu, Qing, et al.
Publicado: (2021)

Corrigendum: Development and validation of A CT-based radiomics nomogram for prediction of synchronous distant metastasis in clear cell renal cell carcinoma
por: Yu, Xinxin, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_9rj6gpejnlcps8sc6idb0n1f4l