Cargando…

Multiparametric MRI for Prostate Cancer Detection: New Insights into the Combined Use of a Radiomic Approach with Advanced Acquisition Protocol

Prostate cancer (PCa) is a disease affecting an increasing number of men worldwide. Several efforts have been made to identify imaging biomarkers to non-invasively detect and characterize PCa, with substantial improvements thanks to multiparametric Magnetic Resonance Imaging (mpMRI). In recent years...

Descripción completa

Detalles Bibliográficos
Autores principales:	Monti, Serena, Brancato, Valentina, Di Costanzo, Giuseppe, Basso, Luca, Puglia, Marta, Ragozzino, Alfonso, Salvatore, Marco, Cavaliere, Carlo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072162/ https://www.ncbi.nlm.nih.gov/pubmed/32046196 http://dx.doi.org/10.3390/cancers12020390

Ejemplares similares

Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions
por: Brancato, Valentina, et al.
Publicado: (2021)

Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility
por: Brancato, Valentina, et al.
Publicado: (2020)

A Framework of Analysis to Facilitate the Harmonization of Multicenter Radiomic Features in Prostate Cancer
por: Castaldo, Rossana, et al.
Publicado: (2022)

Repeatability of Multiparametric Prostate MRI Radiomics Features
por: Schwier, Michael, et al.
Publicado: (2019)

MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma
por: Brancato, Valentina, et al.
Publicado: (2022)

Multiparametric MRI and Radiomics in Prostate Cancer: A Review of the Current Literature
por: Midiri, Federico, et al.
Publicado: (2021)

Evaluation of a Whole-Liver Dixon-Based MRI Approach for Quantification of Liver Fat in Patients with Type 2 Diabetes Treated with Two Isocaloric Different Diets
por: Brancato, Valentina, et al.
Publicado: (2022)

A Systematic Review of the Current Status and Quality of Radiomics for Glioma Differential Diagnosis
por: Brancato, Valentina, et al.
Publicado: (2022)

Radiomics of Multiparametric MRI to Predict Biochemical Recurrence of Localized Prostate Cancer After Radiation Therapy
por: Zhong, Qiu-Zi, et al.
Publicado: (2020)

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

Multiparametric MRI in Prostate Cancer
por: Esen, Tarık, et al.
Publicado: (2014)

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization
por: Toivonen, Jussi, et al.
Publicado: (2019)

Radiomics-Based Detection of Radionecrosis Using Harmonized Multiparametric MRI
por: Acquitter, Clément, et al.
Publicado: (2022)

Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters
por: Woźnicki, Piotr, et al.
Publicado: (2020)

DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes
por: Monti, Serena, et al.
Publicado: (2018)

Prostatic Leiomyoma – Multiparametric Prostate MRI Features
por: Vergauwen, Ortwin, et al.
Publicado: (2018)

Multiparametric-MRI in diagnosis of prostate cancer
por: Ghai, Sangeet, et al.
Publicado: (2015)

Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma
por: Luo, Zhendong, et al.
Publicado: (2022)

Multiparametric MRI and Machine Learning Based Radiomic Models for Preoperative Prediction of Multiple Biological Characteristics in Prostate Cancer
por: Fan, Xuhui, et al.
Publicado: (2022)

The relationship between radiomics and pathomics in Glioblastoma patients: Preliminary results from a cross-scale association study
por: Brancato, Valentina, et al.
Publicado: (2022)

The Role of Non-Gaussian Models of Diffusion Weighted MRI in Hepatocellular Carcinoma: A Systematic Review
por: Tramontano, Liberatore, et al.
Publicado: (2021)

Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin’s Lymphoma Using a Whole-Body DW-MRI Based Approach
por: Brancato, Valentina, et al.
Publicado: (2020)

An Evaluation of the Benefits of Simultaneous Acquisition on PET/MR Coregistration in Head/Neck Imaging
por: Monti, Serena, et al.
Publicado: (2017)

Integrating multiparametric prostate MRI into clinical practice
por: Padhani, A.R.
Publicado: (2011)

Multiparametric MRI of the prostate: the hope for the urology community
por: Kozikowski, Mieszko, et al.
Publicado: (2016)

Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer
por: Bleker, Jeroen, et al.
Publicado: (2019)

Prediction of Clinically Significant Cancer Using Radiomics Features of Pre-Biopsy of Multiparametric MRI in Men Suspected of Prostate Cancer
por: Ogbonnaya, Chidozie N., et al.
Publicado: (2021)

Detecting localised prostate cancer using radiomic features in PSMA PET and multiparametric MRI for biologically targeted radiation therapy
por: Chan, Tsz Him, et al.
Publicado: (2023)

Multiparametric MRI radiomics in prostate cancer for predicting Ki-67 expression and Gleason score: a multicenter retrospective study
por: Zhou, Chuan, et al.
Publicado: (2023)

Investigating Dual-Energy CT Post-Contrast Phases for Liver Iron Quantification: A Preliminary Study
por: Basso, Luca, et al.
Publicado: (2021)

Non-Gaussian models of diffusion weighted imaging for detection and characterization of prostate cancer: a systematic review and meta-analysis
por: Brancato, V., et al.
Publicado: (2019)

MRI Based Radiomics Compared With the PI-RADS V2.1 in the Prediction of Clinically Significant Prostate Cancer: Biparametric vs Multiparametric MRI
por: Chen, Tong, et al.
Publicado: (2022)

Multiparametric MRI: From Simultaneous Rapid Acquisition Methods and Analysis Techniques Using Scoring, Machine Learning, Radiomics, and Deep Learning to the Generation of Novel Metrics
por: Hagiwara, Akifumi, et al.
Publicado: (2023)

Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions
por: Gaudiano, Caterina, et al.
Publicado: (2022)

Radiomics Analysis of Multiparametric MRI for the Preoperative Prediction of Lymph Node Metastasis in Cervical Cancer
por: Hou, Lina, et al.
Publicado: (2020)

Radiomics based on multiparametric MRI for extrathyroidal extension feature prediction in papillary thyroid cancer
por: Wei, Ran, et al.
Publicado: (2021)

Biparametric versus multiparametric MRI in the diagnosis of prostate cancer
por: Thestrup, Karen Cecilie Duus, et al.
Publicado: (2016)

An annotated test-retest collection of prostate multiparametric MRI
por: Fedorov, Andriy, et al.
Publicado: (2018)

Multiparametric MRI - Local Staging of Prostate Cancer and Beyond
por: Caglic, Iztok, et al.
Publicado: (2019)

Multiparametric MRI in the Detection of Clinically Significant Prostate Cancer
por: Fütterer, Jurgen J.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_g3ub43ue0ecghmo3jl7380dgbf