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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Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2015
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4349806/
https://ncbi.nlm.nih.gov/pubmed/25739030
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0118261
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