Cargando…

Multi-view radiomics and deep learning modeling for prostate cancer detection based on multi-parametric MRI

INTRODUCTION: This study aims to develop an imaging model based on multi-parametric MR images for distinguishing between prostate cancer (PCa) and prostate hyperplasia. METHODS: A total of 236 subjects were enrolled and divided into training and test sets for model construction. Firstly, a multi-vie...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Chunyu, Deng, Ming, Zhong, Xiaoli, Ren, Jinxia, Chen, Xiaohui, Chen, Jun, Xiao, Feng, Xu, Haibo
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/PMC10338012/ https://www.ncbi.nlm.nih.gov/pubmed/37448515 http://dx.doi.org/10.3389/fonc.2023.1198899

Ejemplares similares

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Multi-Parametric MRI Radiomics
por: Zhang, Yang, et al.
Publicado: (2021)

Development of a Novel, Multi-Parametric, MRI-Based Radiomic Nomogram for Differentiating Between Clinically Significant and Insignificant Prostate Cancer
por: Zhang, Yongsheng, et al.
Publicado: (2020)

Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation
por: Thulasi Seetha, Sithin, et al.
Publicado: (2023)

Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer
por: Huang, Yuhong, et al.
Publicado: (2021)

Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics
por: Castillo T., Jose M., et al.
Publicado: (2021)

A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI
por: Mehmood, Mubashar, et al.
Publicado: (2023)

Assessing and testing anomaly detection for finding prostate cancer in spatially registered multi-parametric MRI
por: Mayer, Rulon, et al.
Publicado: (2023)

Machine Learning Based on Multi-Parametric MRI to Predict Risk of Breast Cancer
por: Tao, Weijing, et al.
Publicado: (2021)

Radiomics Nomograms Based on Multi-Parametric MRI for Preoperative Differential Diagnosis of Malignant and Benign Sinonasal Tumors: A Two-Centre Study
por: Bi, Shu-cheng, et al.
Publicado: (2021)

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

Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion
por: Huang, Gang, et al.
Publicado: (2022)

Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma
por: Li, Chao, et al.
Publicado: (2019)

Radiomic Features of Multi-ROI and Multi-Phase MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma
por: Yang, Yan, et al.
Publicado: (2021)

Radiomic Analysis of Multi-parametric MR Images (MRI) for Classification of Parotid Tumors
por: Fathi Kazerooni, Anahita, et al.
Publicado: (2022)

Radiomics nomogram based on multi-parametric magnetic resonance imaging for predicting early recurrence in small hepatocellular carcinoma after radiofrequency ablation
por: Zhang, Xiaojuan, et al.
Publicado: (2022)

Multi-Region Radiomic Analysis Based on Multi-Sequence MRI Can Preoperatively Predict Microvascular Invasion in Hepatocellular Carcinoma
por: Gao, Lanmei, et al.
Publicado: (2022)

Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary findings
por: Midya, Abhishek, et al.
Publicado: (2023)

Differentiating cellular leiomyoma from uterine sarcoma and atypical leiomyoma using multi-parametric MRI
por: Wang, Cong, et al.
Publicado: (2022)

MRI radiomics predicts progression-free survival in prostate cancer
por: Jia, Yushan, et al.
Publicado: (2022)

The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer
por: Fan, Yu-Hua, et al.
Publicado: (2021)

Multi-parametric MRI imaging of the prostate—implications for focal therapy
por: Wysock, James S., et al.
Publicado: (2017)

Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer?
por: Giannarini, Gianluca, et al.
Publicado: (2014)

Prostate multi-parametric magnetic resonance imaging appearance of diffuse adenosis of the peripheral zone (DAPZ)
por: Lowe, Avanka W., et al.
Publicado: (2022)

Deep Learning Radiomics Nomogram to Predict Lung Metastasis in Soft-Tissue Sarcoma: A Multi-Center Study
por: Liang, Hao-yu, et al.
Publicado: (2022)

The evolving role of multi-parametric MRI in the evaluation of bladder cancer: Revealing what lies beneath the surface
por: Katelaris, Athos, et al.
Publicado: (2021)

Comparison of machine learning models based on multi-parametric magnetic resonance imaging and ultrasound videos for the prediction of prostate cancer
por: Qi, Xiaoyang, et al.
Publicado: (2023)

MRI Radiomics in Prostate Cancer: A Reliability Study
por: Urraro, Fabrizio, et al.
Publicado: (2021)

Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics
por: Zhang, Bin, et al.
Publicado: (2017)

Corrigendum: MRI radiomics predicts progression-free survival in prostate cancer
por: Jia, Yushan, et al.
Publicado: (2023)

Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging
por: Shi, Lin, et al.
Publicado: (2022)

Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma
por: Blackledge, Matthew D., et al.
Publicado: (2019)

Pilot study for generating and assessing nomograms and decision curves analysis to predict clinically significant prostate cancer using only spatially registered multi-parametric MRI
por: Mayer, Rulon, et al.
Publicado: (2023)

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)

Deep Learning-Based Multi-Omics Integration Robustly Predicts Relapse in Prostate Cancer
por: Wei, Ziwei, et al.
Publicado: (2022)

Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma
por: Yan, Jing, et al.
Publicado: (2020)

Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With Meningioma
por: Xiao, Bing, et al.
Publicado: (2021)

Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics
por: Rodrigues, Ana, et al.
Publicado: (2021)

Non-Invasive Profiling of Advanced Prostate Cancer via Multi-Parametric Liquid Biopsy and Radiomic Analysis
por: Morrison, Gareth, et al.
Publicado: (2022)

Advanced Imaging of Biochemical Recurrent Prostate Cancer With PET, MRI, and Radiomics
por: Shaikh, Faiq, et al.
Publicado: (2020)

Evaluation of the Efficiency of MRI-Based Radiomics Classifiers in the Diagnosis of Prostate Lesions
por: Li, Linghao, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_aakoglmk0luijdb3oebafr677t