Cargando…

An MRI-based radiomics nomogram in predicting histologic grade of non-muscle-invasive bladder cancer

BACKGROUND: Non-muscle-invasive bladder cancer (NMIBC) is categorized into high and low grades with different clinical treatments and prognoses. Thus, accurate preoperative evaluation of the histologic NMIBC grade through imaging techniques is essential. OBJECTIVES: To develop and validate an MRI-ba...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Longchao, Zhang, Jing, Zhe, Xia, Chang, Hongzhi, Tang, Min, Lei, Xiaoyan, Zhang, Li, Zhang, Xiaoling
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060523/ https://www.ncbi.nlm.nih.gov/pubmed/37007156 http://dx.doi.org/10.3389/fonc.2023.1025972

Ejemplares similares

The Diagnostic Performance of Machine Learning-Based Radiomics of DCE-MRI in Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Meta-Analysis
por: Zhang, Jing, et al.
Publicado: (2022)

Development of a MRI-Based Radiomics Nomogram for Prediction of Response of Patients With Muscle-Invasive Bladder Cancer to Neoadjuvant Chemotherapy
por: Zhang, Xinxin, et al.
Publicado: (2022)

Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature
por: Zhang, Li, et al.
Publicado: (2021)

Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer
por: Liu, Siye, et al.
Publicado: (2021)

Nomograms of Combining MRI Multisequences Radiomics and Clinical Factors for Differentiating High-Grade From Low-Grade Serous Ovarian Carcinoma
por: Li, Cuiping, et al.
Publicado: (2022)

Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal adenocarcinoma
por: Cen, Chunyuan, et al.
Publicado: (2023)

Preoperative Nomogram for Differentiation of Histological Subtypes in Ovarian Cancer Based on Computer Tomography Radiomics
por: Zhu, Haiyan, et al.
Publicado: (2021)

Development and validation of an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma
por: Xu, Xinsen, et al.
Publicado: (2023)

Development and validation of a MRI-based combined radiomics nomogram for differentiation in chondrosarcoma
por: Li, Xiaofen, et al.
Publicado: (2023)

Development and Validation of a Novel Radiomics-Based Nomogram With Machine Learning to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors
por: Wang, Xing, et al.
Publicado: (2022)

Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics –Based Nomogram
por: Du, Wei, et al.
Publicado: (2021)

Machine Learning-Based Radiomics Nomogram With Dynamic Contrast-Enhanced MRI of the Osteosarcoma for Evaluation of Efficacy of Neoadjuvant Chemotherapy
por: Zhang, Lu, et al.
Publicado: (2021)

A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features
por: Li, Ning, et al.
Publicado: (2021)

Multiparametric magnetic resonance imaging-based radiomics nomogram for predicting tumor grade in endometrial cancer
por: Yue, Xiaoning, et al.
Publicado: (2023)

Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Mucinous Adenocarcinoma Using an MRI-Based Radiomics Nomogram
por: Li, Zhihui, et al.
Publicado: (2021)

MRI-Based Radiomics Nomogram for Selecting Ovarian Preservation Treatment in Patients With Early-Stage Endometrial Cancer
por: Yan, Bi Cong, et al.
Publicado: (2021)

CT-based deep learning radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer
por: Chen, Weitian, et al.
Publicado: (2022)

Development of a nomogram based on radiomics and semantic features for predicting chromosome 7 gain/chromosome 10 loss in IDH wild-type histologically low-grade gliomas
por: Kong, Xin, et al.
Publicado: (2023)

Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram
por: Jing, Guodong, et al.
Publicado: (2022)

Development and validation of a preoperative MRI-based radiomics nomogram to predict progression-free survival in patients with clival chordomas
por: Zhai, Yixuan, et al.
Publicado: (2022)

MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
por: Li, Yang, et al.
Publicado: (2021)

Radiomic Analysis of Quantitative T2 Mapping and Conventional MRI in Predicting Histologic Grade of Bladder Cancer
por: Ye, Lei, et al.
Publicado: (2023)

A Multi-Parametric Radiomics Nomogram for Preoperative Prediction of Microvascular Invasion Status in Intrahepatic Cholangiocarcinoma
por: Qian, Xianling, et al.
Publicado: (2022)

The role of radiomics with machine learning in the prediction of muscle-invasive bladder cancer: A mini review
por: Huang, Xiaodan, et al.
Publicado: (2022)

Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram
por: Qi, Jinbo, et al.
Publicado: (2022)

Multi-modality radiomics nomogram based on DCE-MRI and ultrasound images for benign and malignant breast lesion classification
por: Liu, Xinmiao, et al.
Publicado: (2022)

Radiomics Nomogram of DCE-MRI for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer
por: Mao, Ning, et al.
Publicado: (2020)

Radiomics Nomogram Based on High-b-Value Diffusion-Weighted Imaging for Distinguishing the Grade of Bladder Cancer
por: Feng, Cui, et al.
Publicado: (2022)

Radiomics Nomogram Improves the Prediction of Epilepsy in Patients With Gliomas
por: Jie, Bai, et al.
Publicado: (2022)

Combining Multiparametric MRI Radiomics Signature With the Vesical Imaging-Reporting and Data System (VI-RADS) Score to Preoperatively Differentiate Muscle Invasion of Bladder Cancer
por: Zheng, Zongtai, et al.
Publicado: (2021)

Metabolomics of Non-muscle Invasive Bladder Cancer: Biomarkers for Early Detection of Bladder Cancer
por: Cheng, Xiangming, et al.
Publicado: (2018)

Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPA
por: Zhang, Shuai, et al.
Publicado: (2022)

Development and validation of a CT-based radiomics nomogram for preoperative prediction of tumor histologic grade in gastric adenocarcinoma
por: Huang, Jia, et al.
Publicado: (2021)

Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging
por: Zhang, Yang, et al.
Publicado: (2022)

MRI-based clinical radiomics nomogram may predict the early response after concurrent chemoradiotherapy in locally advanced nasopharyngeal carcinoma
por: Wu, Mengxing, et al.
Publicado: (2023)

Preoperative Prediction of Microvascular Invasion in Patients With Hepatocellular Carcinoma Based on Radiomics Nomogram Using Contrast-Enhanced Ultrasound
por: Zhang, Di, et al.
Publicado: (2021)

Development and Validation of an MRI Radiomics-Based Signature to Predict Histological Grade in Patients with Invasive Breast Cancer
por: Wang, Shihui, et al.
Publicado: (2022)

Radiomic Nomogram Improves Preoperative T Category Accuracy in Locally Advanced Laryngeal Carcinoma
por: Wang, Fei, et al.
Publicado: (2019)

A radiomics nomogram for invasiveness prediction in lung adenocarcinoma manifesting as part-solid nodules with solid components smaller than 6 mm
por: Zhang, Teng, et al.
Publicado: (2022)

Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade Glioma
por: Sun, Chen, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_aee6ggej38ojgl5pm2gvqjsbm4