Cargando…
Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers
OBJECTIVES: To investigate whether radiomics features extracted from MRI of BRCA-positive patients with sub-centimeter breast masses can be coupled with machine learning to differentiate benign from malignant lesions using model-free parameter maps. METHODS: In this retrospective study, BRCA-positiv...
Autores principales: | Lo Gullo, Roberto, Daimiel, Isaac, Rossi Saccarelli, Carolina, Bitencourt, Almir, Gibbs, Peter, Fox, Michael J., Thakur, Sunitha B., Martinez, Danny F., Jochelson, Maxine S., Morris, Elizabeth A., Pinker, Katja |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599163/ https://www.ncbi.nlm.nih.gov/pubmed/32594207 http://dx.doi.org/10.1007/s00330-020-06991-7 |
Ejemplares similares
-
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) -
MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer
por: Bitencourt, Almir G.V., et al.
Publicado: (2020) -
MRI background parenchymal enhancement, fibroglandular tissue, and mammographic breast density in patients with invasive lobular breast cancer on adjuvant endocrine hormonal treatment: associations with survival
por: Lo Gullo, Roberto, et al.
Publicado: (2020) -
Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade
por: Lo Gullo, Roberto, et al.
Publicado: (2021) -
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)