Cargando…

Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness

Radiomics allows the extraction quantitative features from imaging, as imaging biomarkers of disease. The objective of this exploratory study is to implement a reproducible radiomic-pipeline for the extraction of a magnetic resonance imaging (MRI) signature for prostate cancer (PCa) aggressiveness....

Descripción completa

Detalles Bibliográficos
Autores principales:	Damascelli, Anna, Gallivanone, Francesca, Cristel, Giulia, Cava, Claudia, Interlenghi, Matteo, Esposito, Antonio, Brembilla, Giorgio, Briganti, Alberto, Montorsi, Francesco, Castiglioni, Isabella, De Cobelli, Francesco
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065545/ https://www.ncbi.nlm.nih.gov/pubmed/33810222 http://dx.doi.org/10.3390/diagnostics11040594

Ejemplares similares

Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer
por: Kirienko, Margarita, et al.
Publicado: (2021)

Parameters Influencing PET Imaging Features: A Phantom Study with Irregular and Heterogeneous Synthetic Lesions
por: Gallivanone, Francesca, et al.
Publicado: (2018)

Frontiers from Radiomics in Molecular Imaging
por: Castiglioni, Isabella, et al.
Publicado: (2019)

In Silico Approach for the Definition of radiomiRNomic Signatures for Breast Cancer Differential Diagnosis
por: Gallivanone, Francesca, et al.
Publicado: (2019)

A Method for Manufacturing Oncological Phantoms for the Quantification of 18F-FDG PET and DW-MRI Studies
por: Gallivanone, Francesca, et al.
Publicado: (2017)

Using Radiomics and Machine Learning Applied to MRI to Predict Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer
por: Chiappa, Valentina, et al.
Publicado: (2023)

A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125
por: Chiappa, Valentina, et al.
Publicado: (2021)

Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine
por: Bogani, Giorgio, et al.
Publicado: (2022)

A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses
por: Interlenghi, Matteo, et al.
Publicado: (2022)

Biomarkers from in vivo molecular imaging of breast cancer: pretreatment (18)F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy
por: Gallivanone, Francesca, et al.
Publicado: (2017)

Beyond diagnosis: is there a role for radiomics in prostate cancer management?
por: Stanzione, Arnaldo, et al.
Publicado: (2023)

[(68)Ga]Ga-PSMA and [(68)Ga]Ga-RM2 PET/MRI vs. Histopathological Images in Prostate Cancer: A New Workflow for Spatial Co-Registration
por: Ghezzo, Samuele, et al.
Publicado: (2023)

Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease
por: Nanni, Loris, et al.
Publicado: (2020)

A Radiomic-Based Machine Learning System to Diagnose Age-Related Macular Degeneration from Ultra-Widefield Fundus Retinography
por: Interlenghi, Matteo, et al.
Publicado: (2023)

Pelvic Lymph Node Dissection at the Time of Radical Prostatectomy: Extended, of Course
por: Gandaglia, Giorgio, et al.
Publicado: (2022)

Radiomic and gEnomic approaches for the enhanced DIagnosis of clear cell REnal Cancer (REDIRECt): a translational pilot methodological study
por: Cianflone, Francesco, et al.
Publicado: (2022)

Circulating microRNAs as Potential Novel Diagnostic Biomarkers to Predict Drug Resistance in Temporal Lobe Epilepsy: A Pilot Study
por: De Benedittis, Selene, et al.
Publicado: (2021)

Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer
por: Colaprico, Antonio, et al.
Publicado: (2015)

Radiomics: is it time to compose the puzzle?
por: Castiglioni, Isabella, et al.
Publicado: (2018)

Therapeutic EUS: Biliary drainage - The interventional radiologist's perspective
por: De Cobelli, Francesco, et al.
Publicado: (2017)

Prostate Cancer: Is There Still a Role for Systematic Biopsies? Yes
por: Gandaglia, Giorgio, et al.
Publicado: (2022)

In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer
por: Cava, Claudia, et al.
Publicado: (2018)

A novel expressed prostatic secretion (EPS)-urine metabolomic signature for the diagnosis of clinically significant prostate cancer
por: Drago, Denise, et al.
Publicado: (2021)

Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy
por: Castiglioni, Isabella, et al.
Publicado: (2021)

Anastomotic leaks and catheter time after salvage robot-assisted radical prostatectomy
por: Bandini, Marco, et al.
Publicado: (2018)

An Explanatory Case on the Limitations of Lymph Node Staging in Recurrent Prostate Cancer
por: Bandini, Marco, et al.
Publicado: (2017)

MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities
por: Gitto, Salvatore, et al.
Publicado: (2023)

Triple negative aggressive phenotype controlled by miR-135b and miR-365: new theranostics candidates
por: Bertoli, Gloria, et al.
Publicado: (2021)

Active surveillance should not be routinely considered in ISUP grade group 2 prostate cancer
por: Gandaglia, Giorgio, et al.
Publicado: (2023)

(68)Ga-PSMA and (68)Ga-DOTA-RM2 PET/MRI in Recurrent Prostate Cancer: Diagnostic Performance and Association with Clinical and Histopathological Data
por: Mapelli, Paola, et al.
Publicado: (2022)

Prevention and management of post prostatectomy erectile dysfunction
por: Salonia, Andrea, et al.
Publicado: (2015)

Postprostatectomy Erectile Dysfunction: A Review
por: Capogrosso, Paolo, et al.
Publicado: (2016)

MicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast Cancer
por: Bertoli, Gloria, et al.
Publicado: (2015)

MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer
por: Bertoli, Gloria, et al.
Publicado: (2016)

Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential
por: Cava, Claudia, et al.
Publicado: (2015)

In silico identification of drug target pathways in breast cancer subtypes using pathway cross-talk inhibition
por: Cava, Claudia, et al.
Publicado: (2018)

A protein interaction map identifies existing drugs targeting SARS-CoV-2
por: Cava, Claudia, et al.
Publicado: (2020)

Portrait of Tissue-Specific Coexpression Networks of Noncoding RNAs (miRNA and lncRNA) and mRNAs in Normal Tissues
por: Cava, Claudia, et al.
Publicado: (2019)

In Silico Discovery of Candidate Drugs against Covid-19
por: Cava, Claudia, et al.
Publicado: (2020)

Patient-Specific Network for Personalized Breast Cancer Therapy with Multi-Omics Data
por: Cava, Claudia, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_lnmvestv1jot73mo0uqantf1qj