Lepidic Predominant Pulmonary Lesions (LPL): CT-based Distinction From More Invasive Adenocarcinomas Using 3D Volumetric Density and First-order CT Texture Analysis

This study aimed to differentiate pathologically defined lepidic predominant lesions (LPL) from more invasive adenocarcinomas (INV) using three-dimensional (3D) volumetric density and first-order texture histogram analysis of surgically excised stage 1 lung adenocarcinomas. This retrospective study...

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Veröffentlicht in:Academic radiology 2017-12, Vol.24 (12), p.1604-1611
Hauptverfasser: Alpert, Jeffrey B, Rusinek, Henry, Ko, Jane P, Dane, Bari, Pass, Harvey I, Crawford, Bernard K, Rapkiewicz, Amy, Naidich, David P
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Sprache:eng
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Zusammenfassung:This study aimed to differentiate pathologically defined lepidic predominant lesions (LPL) from more invasive adenocarcinomas (INV) using three-dimensional (3D) volumetric density and first-order texture histogram analysis of surgically excised stage 1 lung adenocarcinomas. This retrospective study was institutional review board approved and Health Insurance Portability and Accountability Act compliant. Sixty-four cases of pathologically proven stage 1 lung adenocarcinoma surgically resected between September 2006 and October 2015, including LPL (n = 43) and INV (n = 21), were evaluated using high-resolution computed tomography. Quantitative measurements included nodule volume, percent solid volume (% solid), and first-order texture histogram analysis including skewness, kurtosis, entropy, and mean nodule attenuation within each histogram quartile. Binomial logistic regression models were used to identify the best set of parameters distinguishing LPL from INV. Univariate analysis of 3D volumetric density and histogram features was statistically significant between LPL and INV groups (P 
ISSN:1878-4046
DOI:10.1016/j.acra.2017.07.008