Cargando…

A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis

PURPOSE: To develop a multiparametric [(18)F]FDG positron emission tomography/magnetic resonance imaging (PET/MRI) model for breast cancer diagnosis incorporating imaging biomarkers of breast tumors and contralateral healthy breast tissue. METHODS: In this prospective study and retrospective data an...

Descripción completa

Detalles Bibliográficos
Autores principales:	Leithner, Doris, Horvat, Joao V., Bernard-Davila, Blanca, Helbich, Thomas H., Ochoa-Albiztegui, R. Elena, Martinez, Danny F., Zhang, Michelle, Thakur, Sunitha B., Wengert, Georg J., Staudenherz, Anton, Jochelson, Maxine S., Morris, Elizabeth A., Baltzer, Pascal A. T., Clauser, Paola, Kapetas, Panagiotis, Pinker, Katja
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2019
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647078/ https://www.ncbi.nlm.nih.gov/pubmed/31197455 http://dx.doi.org/10.1007/s00259-019-04331-6

Ejemplares similares

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)

Multiparametric MRI model with dynamic contrast‐enhanced and diffusion‐weighted imaging enables breast cancer diagnosis with high accuracy
por: Zhang, Michelle, et al.
Publicado: (2018)

Radiomic signatures with contrast-enhanced magnetic resonance imaging for the assessment of breast cancer receptor status and molecular subtypes: initial results
por: Leithner, Doris, et al.
Publicado: (2019)

Imaging and the completion of the omics paradigm in breast cancer
por: Leithner, D., et al.
Publicado: (2018)

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)

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)

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

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

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)

Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes
por: Leithner, Doris, et al.
Publicado: (2019)

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

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

A Simultaneous Multiparametric (18)F-FDG PET/MRI Radiomics Model for the Diagnosis of Triple Negative Breast Cancer
por: Romeo, Valeria, et al.
Publicado: (2022)

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

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)

MRI evaluation of axillary and intramammary lymph nodes in the postoperative period
por: Horvat, Joao V., et al.
Publicado: (2019)

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)

Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers
por: Horvat, Joao V., et al.
Publicado: (2019)

Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment
por: Wengert, Georg J., et al.
Publicado: (2019)

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)

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)

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)

Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI
por: Daimiel Naranjo, Isaac, et al.
Publicado: (2020)

Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization
por: Ochoa-Albiztegui, R. Elena, et al.
Publicado: (2020)

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)

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

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

Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results
por: Lo Gullo, Roberto, et al.
Publicado: (2021)

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)

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)

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

Diffusion‐Weighted MRI of Breast Cancer: Improved Lesion Visibility and Image Quality Using Synthetic b‐Values
por: Bickel, Hubert, et al.
Publicado: (2019)

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

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

Radiomics for Tumor Characterization in Breast Cancer Patients: A Feasibility Study Comparing Contrast-Enhanced Mammography and Magnetic Resonance Imaging
por: Marino, Maria Adele, et al.
Publicado: (2020)

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)

Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers
por: Lo Gullo, Roberto, et al.
Publicado: (2020)

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)

3D T2-weighted imaging to shorten multiparametric prostate MRI protocols
por: Polanec, Stephan H., et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_htd1mlcfv4ibg6ium0ftmiatqm