Cargando…
Texture Analysis Using Semiquantitative Kinetic Parameter Maps from DCE-MRI: Preoperative Prediction of HER2 Status in Breast Cancer
OBJECTIVE: To evaluate whether texture features derived from semiquantitative kinetic parameter maps based on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can determine human epidermal growth factor receptor 2 (HER2) status of patients with breast cancer. MATERIALS AND METHO...
Autores principales: | Song, Lirong, Li, Chunli, Yin, Jiandong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217832/ https://www.ncbi.nlm.nih.gov/pubmed/34168994 http://dx.doi.org/10.3389/fonc.2021.675160 |
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 Breast DCE-MRI Based on Intratumoral Subregions for Predicting HER2 2+ Status
por: Lu, Hecheng, et al.
Publicado: (2020) -
Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors
por: Zhang, Bin, 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) -
Multiregional Radiomic Signatures Based on Functional Parametric Maps from DCE-MRI for Preoperative Identification of Estrogen Receptor and Progesterone Receptor Status in Breast Cancer
por: Zhong, Shiling, et al.
Publicado: (2022)