Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

Two CT features were developed to quantitatively describe lung adenocarcinomas by scoring tumor shape complexity (feature 1: convexity) and intratumor density variation (feature 2: entropy ratio) in routinely obtained diagnostic CT scans. The developed quantitative features were analyzed in two inde...

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Detalles Bibliográficos
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 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349806/
https://www.ncbi.nlm.nih.gov/pubmed/25739030
http://dx.doi.org/10.1371/journal.pone.0118261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349806/
https://www.ncbi.nlm.nih.gov/pubmed/25739030
http://dx.doi.org/10.1371/journal.pone.0118261

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