Cargando…

Imaging and the completion of the omics paradigm in breast cancer

Within the field of oncology, “omics” strategies—genomics, transcriptomics, proteomics, metabolomics—have many potential applications and may significantly improve our understanding of the underlying processes of cancer development and progression. Omics strategies aim to develop meaningful imaging...

Descripción completa

Detalles Bibliográficos
Autores principales:	Leithner, D., Horvat, J. V., Ochoa-Albiztegui, R. E., Thakur, S., Wengert, G., Morris, E. A., Helbich, T. H., Pinker, K.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Medizin 2018
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244523/ https://www.ncbi.nlm.nih.gov/pubmed/29947931 http://dx.doi.org/10.1007/s00117-018-0409-1

Ejemplares similares

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)

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)

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)

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

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)

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)

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)

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)

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

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

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

Abbreviated MRI of the Breast: Does It Provide Value?
por: Leithner, Doris, et al.
Publicado: (2018)

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

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

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)

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)

Reduced breast biopsy rates with a combined high temporal and high spatial resolution MR imaging protocol at 3 Tesla
por: Pinker, K, et al.
Publicado: (2010)

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)

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)

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)

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

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

Evaluation of the diagnostic value of high temporal and spatial resolution morphologic, dynamic, spectroscopic and diffusion-weighted magnetic resonance imaging in patients with breast lesions at 3 T
por: Pinker, K, et al.
Publicado: (2008)

Additional application of (1)H-spectroscopic (3D-MRSI) and diffusion-weighted magnetic resonance imaging (MRI) in breast MRI at 3 T: is there a diagnostic value in comparison with high temporal and spatial resolution morphologic and dynamic MRI in patients with breast lesions?
por: Pinker, K, et al.
Publicado: (2008)

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)

Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer
por: Minarikova, Lenka, et al.
Publicado: (2016)

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

Fat Composition Measured by Proton Spectroscopy: A Breast Cancer Tumor Marker?
por: Bitencourt, Almir, et al.
Publicado: (2021)

Molecular mechanisms of multi-omic regulation in breast cancer
por: Ochoa, Soledad, et al.
Publicado: (2023)

A survey by the European Society of Breast Imaging on the utilisation of breast MRI in clinical practice
por: Clauser, Paola, et al.
Publicado: (2017)

Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients
por: Fardanesh, Reza, et al.
Publicado: (2022)

Hyperoxic BOLD-MRI-Based Characterization of Breast Cancer Molecular Subtypes Is Independent of the Supplied Amount of Oxygen: A Preclinical Study
por: Bartsch, Silvester J., et al.
Publicado: (2023)

Functional impact of multi-omic interactions in breast cancer subtypes
por: Ochoa, Soledad, et al.
Publicado: (2023)

Elevated glycine detected on in vivo magnetic resonance spectroscopy in a breast cancer patient: case report and literature review
por: Bitencourt, Almir G.V., 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)

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)

Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging
por: Illan, Ignacio Alvarez, et al.
Publicado: (2018)

Empowering biologists with multi-omics data: colorectal cancer as a paradigm
por: Zhu, Jing, et al.
Publicado: (2015)

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

Multi-Omics Profiling Approach to Asthma: An Evolving Paradigm
por: Gautam, Yadu, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_13uluht39i26g5ulf3jjt6bnge