Cargando…

A Simultaneous Multiparametric (18)F-FDG PET/MRI Radiomics Model for the Diagnosis of Triple Negative Breast Cancer

SIMPLE SUMMARY: In this study, we aimed to build a machine-learning predictive model for the identification of triple negative breast cancer, the most aggressive subtype, using quantitative parameters and radiomics features extracted from tumor lesions on hybrid PET/MRI. The good performance of the...

Descripción completa

Detalles Bibliográficos
Autores principales:	Romeo, Valeria, Kapetas, Panagiotis, Clauser, Paola, Baltzer, Pascal A. T., Rasul, Sazan, Gibbs, Peter, Hacker, Marcus, Woitek, Ramona, Pinker, Katja, Helbich, Thomas H.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406327/ https://www.ncbi.nlm.nih.gov/pubmed/36010936 http://dx.doi.org/10.3390/cancers14163944

Ejemplares similares

AI-enhanced simultaneous multiparametric (18)F-FDG PET/MRI for accurate breast cancer diagnosis
por: Romeo, V., et al.
Publicado: (2021)

Simultaneous 18F-FDG PET/MRI Radiomics and Machine Learning Analysis of the Primary Breast Tumor for the Preoperative Prediction of Axillary Lymph Node Status in Breast Cancer
por: Romeo, Valeria, et al.
Publicado: (2023)

Sequential [(18)F]FDG-[(18)F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience
por: Andrzejewski, Piotr, et al.
Publicado: (2019)

Virtual Touch IQ elastography reduces unnecessary breast biopsies by applying quantitative “rule-in” and “rule-out” threshold values
por: Kapetas, Panagiotis, et al.
Publicado: (2018)

A Simple Ultrasound Based Classification Algorithm Allows Differentiation of Benign from Malignant Breast Lesions by Using Only Quantitative Parameters
por: Kapetas, Panagiotis, et al.
Publicado: (2018)

Breast lesion detection and characterization with contrast‐enhanced magnetic resonance imaging: Prospective randomized intraindividual comparison of gadoterate meglumine (0.15 mmol/kg) and gadobenate dimeglumine (0.075 mmol/kg) at 3T
por: Clauser, Paola, et al.
Publicado: (2018)

Clinical relevance of total choline (tCho) quantification in suspicious lesions on multiparametric breast MRI
por: Sodano, Claudia, et al.
Publicado: (2020)

An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies
por: Pötsch, Nina, et al.
Publicado: (2021)

Prospective validation of 18F-Fluoroethylcholine as a tracer in PET/MRI for the evaluation of breast lesions and prediction of lymph node status
por: Clauser, Paola, et al.
Publicado: (2023)

One view or two views for wide-angle tomosynthesis with synthetic mammography in the assessment setting?
por: Clauser, Paola, et al.
Publicado: (2021)

A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
por: Leithner, Doris, et al.
Publicado: (2019)

A simple classification system (the Tree flowchart) for breast MRI can reduce the number of unnecessary biopsies in MRI-only lesions
por: Woitek, Ramona, et al.
Publicado: (2017)

Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment
por: Wengert, G. J., et al.
Publicado: (2016)

Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance
por: Daimiel Naranjo, Isaac, et al.
Publicado: (2022)

Density and tailored breast cancer screening: practice and prediction – an overview
por: Wengert, Georg J, et al.
Publicado: (2018)

Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis
por: Daimiel Naranjo, Isaac, et al.
Publicado: (2021)

Non-Invasive Assessment of Hypoxia and Neovascularization with MRI for Identification of Aggressive Breast Cancer
por: Bennani-Baiti, Barbara, et al.
Publicado: (2020)

Multiparametric Integrated (18)F-FDG PET/MRI-Based Radiomics for Breast Cancer Phenotyping and Tumor Decoding
por: Umutlu, Lale, et al.
Publicado: (2021)

Changes in Tumor Biology During Chemoradiation of Cervix Cancer Assessed by Multiparametric MRI and Hypoxia PET
por: Georg, Petra, et al.
Publicado: (2017)

Added value of quantitative, multiparametric 18F-FDG PET/MRI in the locoregional staging of rectal cancer
por: Herold, Alexander, et al.
Publicado: (2022)

Multiparametric (18)F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Umutlu, Lale, et al.
Publicado: (2022)

Can supplementary contrast-enhanced MRI of the breast avoid needle biopsies in suspicious microcalcifications seen on mammography? A systematic review and meta-analysis
por: Fueger, Barbara J., et al.
Publicado: (2021)

Breast Tumor Characterization Using [(18)F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics
por: Krajnc, Denis, et al.
Publicado: (2021)

Impact of the Kaiser score on clinical decision-making in BI-RADS 4 mammographic calcifications examined with breast MRI
por: Wengert, G. J., et al.
Publicado: (2019)

Is the Level of Contrast Enhancement on Contrast-Enhanced Mammography (CEM) Associated with the Presence and Biological Aggressiveness of Breast Cancer?
por: Marzogi, Alaa, et al.
Publicado: (2023)

Low‐Dose, Contrast‐Enhanced Mammography Compared to Contrast‐Enhanced Breast MRI: A Feasibility Study
por: Clauser, Paola, et al.
Publicado: (2020)

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using (18)F-FDG PET/MRI
por: Rasul, Sazan, et al.
Publicado: (2020)

Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI
por: Avendano, Daly, et al.
Publicado: (2019)

Assessing the kidney function parameters glomerular filtration rate and effective renal plasma flow with dynamic FDG-PET/MRI in healthy subjects
por: Geist, Barbara K., et al.
Publicado: (2018)

The Kaiser score reliably excludes malignancy in benign contrast-enhancing lesions classified as BI-RADS 4 on breast MRI high-risk screening exams
por: Milos, Ruxandra Iulia, et al.
Publicado: (2020)

Assessment of the kidney function parameters split function, mean transit time, and outflow efficiency using dynamic FDG-PET/MRI in healthy subjects
por: Geist, Barbara K., et al.
Publicado: (2019)

Breast PET/MRI Hybrid Imaging and Targeted Tracers
por: Romeo, Valeria, et al.
Publicado: (2022)

New diagnostic tools for breast cancer
por: Baltzer, Pascal A. T., et al.
Publicado: (2017)

Dual-Tracer PET-MRI-Derived Imaging Biomarkers for Prediction of Clinically Significant Prostate Cancer
por: Grubmüller, Bernhard, et al.
Publicado: (2023)

Breast MRI: does a clinical decision algorithm outweigh reader experience?
por: Pötsch, Nina, et al.
Publicado: (2022)

MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience
por: Spick, Claudio, et al.
Publicado: (2016)

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features
por: Vogl, Wolf-Dieter, et al.
Publicado: (2019)

Non-Invasive Assessment of Breast Cancer Molecular Subtypes with Multiparametric Magnetic Resonance Imaging Radiomics
por: Leithner, Doris, et al.
Publicado: (2020)

Multiparametric [(11)C]Acetate positron emission tomography-magnetic resonance imaging in the assessment and staging of prostate cancer
por: Polanec, Stephan H., et al.
Publicado: (2017)

Diffusion‐weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer
por: Horvat, Joao V., et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_5g4rhv3pjds82991t3qm51d84h