Cargando…
Texture Analysis of Breast DCE-MRI Based on Intratumoral Subregions for Predicting HER2 2+ Status
Background: Breast tumor heterogeneity is related to risk factors that lead to aggressive tumor growth; however, such heterogeneity has not been thoroughly investigated. Purpose: To evaluate the performance of texture features extracted from heterogeneity subregions on subtraction MRI images for ide...
Autores principales: | Lu, Hecheng, Yin, Jiandong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186477/ https://www.ncbi.nlm.nih.gov/pubmed/32373531 http://dx.doi.org/10.3389/fonc.2020.00543 |
Ejemplares similares
-
The Potential Use of DCE-MRI Texture Analysis to Predict HER2 2+ Status
por: Jiang, Zejun, et al.
Publicado: (2019) -
Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors
por: Zhang, Bin, et al.
Publicado: (2021) -
Texture Analysis Using Semiquantitative Kinetic Parameter Maps from DCE-MRI: Preoperative Prediction of HER2 Status in Breast Cancer
por: Song, Lirong, et al.
Publicado: (2021) -
Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI
por: Song, Lirong, et al.
Publicado: (2020) -
DCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy Response
por: Thibault, Guillaume, et al.
Publicado: (2017)