Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates

Aim To investigate the correlation between conventional computed tomography (CT) features, quantitative texture analysis (QTA), epidermal growth factor receptor (EGFR) mutations, and survival rates in patients with lung adenocarcinoma. Materials and methods Sixty-eight patients were evaluated for co...

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Bibliographic Details
Published in:Clinical radiology 2017-06, Vol.72 (6), p.443-450
Main Authors: Sacconi, B, Anzidei, M, Leonardi, A, Boni, F, Saba, L, Scipione, R, Anile, M, Rengo, M, Longo, F, Bezzi, M, Venuta, F, Napoli, A, Laghi, A, Catalano, C
Format: Article
Language:English
Subjects:
Adenocarcinoma - diagnostic imaging
Adenocarcinoma - genetics
Adenocarcinoma - mortality
Adenocarcinoma of Lung
Aged
ErbB Receptors - genetics
Female
Humans
Lung Neoplasms - diagnostic imaging
Lung Neoplasms - genetics
Lung Neoplasms - mortality
Male
Middle Aged
Mutation
Radiology
Retrospective Studies
Survival Rate
Tomography, X-Ray Computed
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Summary:Aim To investigate the correlation between conventional computed tomography (CT) features, quantitative texture analysis (QTA), epidermal growth factor receptor (EGFR) mutations, and survival rates in patients with lung adenocarcinoma. Materials and methods Sixty-eight patients were evaluated for conventional CT features and QTA in this retrospective study. A multiple logistic regression analysis and receiver operating characteristics (ROC) curve analysis versus death and EGFR status was performed for CT features and QTA in order to assess correlation between CT features, QTA, EGFR mutations, and survival rates. A p -value
ISSN:0009-9260
1365-229X
DOI:10.1016/j.crad.2017.01.015