Cargando…
Correction: Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma
Autores principales: | Grove, Olya, Berglund, Anders E., Schabath, Matthew B., Aerts, Hugo J. W. L., Dekker, Andre, Wang, Hua, Velazquez, Emmanuel Rios, Lambin, Philippe, Gu, Yuhua, Balagurunathan, Yoganand, Eikman, Edward, Gatenby, Robert A., Eschrich, Steven, Gillies, Robert J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939347/ https://www.ncbi.nlm.nih.gov/pubmed/33684181 http://dx.doi.org/10.1371/journal.pone.0248541 |
Ejemplares similares
-
Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma
por: Grove, Olya, et al.
Publicado: (2015) -
Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening
por: Pérez-Morales, Jaileene, et al.
Publicado: (2020) -
Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients
por: Tunali, Ilke, et al.
Publicado: (2017) -
Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules
por: Balagurunathan, Yoganand, et al.
Publicado: (2019) -
Differences in Patient Outcomes of Prevalence, Interval, and Screen-Detected Lung Cancers in the CT Arm of the National Lung Screening Trial
por: Schabath, Matthew B., et al.
Publicado: (2016)