Cargando…
Relationship between Tumor Heterogeneity Measured on FDG-PET/CT and Pathological Prognostic Factors in Invasive Breast Cancer
BACKGROUND: There is currently little support to understand which pathological factors led to differences in tumor texture as measured from FDG PET/CT images. We studied whether tumor heterogeneity measured using texture analysis in FDG-PET/CT images is correlated with pathological prognostic factor...
Autores principales: | Soussan, Michael, Orlhac, Fanny, Boubaya, Marouane, Zelek, Laurent, Ziol, Marianne, Eder, Véronique, Buvat, Irène |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3983104/ https://www.ncbi.nlm.nih.gov/pubmed/24722644 http://dx.doi.org/10.1371/journal.pone.0094017 |
Ejemplares similares
-
18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer
por: Orlhac, Fanny, et al.
Publicado: (2015) -
Influence of age on radiomic features in (18)F-FDG PET in normal breast tissue and in breast cancer tumors
por: Boughdad, Sarah, et al.
Publicado: (2018) -
Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848
por: Orlhac, Fanny, et al.
Publicado: (2021) -
An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
por: Wallis, David, et al.
Publicado: (2021) -
Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
por: Wallis, David, et al.
Publicado: (2022)