Cargando…
Non-Invasive Assessment of Hypoxia and Neovascularization with MRI for Identification of Aggressive Breast Cancer
The aim of this study was to investigate the potential of magnetic resonance imaging (MRI) for a non-invasive synergistic assessment of tumor microenvironment (TME) hypoxia and induced neovascularization for the identification of aggressive breast cancer. Fifty-three female patients with breast canc...
Autores principales: | Bennani-Baiti, Barbara, Pinker, Katja, Zimmermann, Max, Helbich, Thomas H., Baltzer, Pascal A., Clauser, Paola, Kapetas, Panagiotis, Bago-Horvath, Zsuzsanna, Stadlbauer, Andreas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464174/ https://www.ncbi.nlm.nih.gov/pubmed/32721996 http://dx.doi.org/10.3390/cancers12082024 |
Ejemplares similares
-
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) -
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) -
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)