Heterogeneity in [¹⁸F]fluorodeoxyglucose positron emission tomography/computed tomography of non-small cell lung carcinoma and its relationship to metabolic parameters and pathologic staging

Molecular Imaging
Ober van Gómez LópezPablo León Atance

Abstract

To investigate the relationships between tumor heterogeneity, assessed by texture analysis of [18F]fluorodeoxyglucose-positron emission tomography (FDG-PET) images, metabolic parameters, and pathologic staging in patients with non-small cell lung carcinoma (NSCLC). A retrospective analysis of 38 patients with histologically confirmed NSCLC who underwent staging FDG-PET/computed tomography was performed. Tumor images were segmented using a standardized uptake value (SUV) cutoff of 2.5. Five textural features, related to the heterogeneity of gray-level distribution, were computed (energy, entropy, contrast, homogeneity, and correlation). Additionally, metabolic parameters such as SUVmax, SUVmean, metabolic tumor volume (MTV), and total lesion glycolysis (TLG), as well as pathologic staging, histologic subtype, and tumor diameter, were obtained. Finally, a correlation analysis was carried out. Of 38 tumors, 63.2% were epidermoid and 36.8% were adenocarcinomas. The mean ± standard deviation values of MTV and TLG were 30.47 ± 25.17 mL and 197.81 ± 251.11 g, respectively. There was a positive relationship of all metabolic parameters (SUVmax, SUVmean, MTV, and TLG) with entropy, correlation, and homogeneity and a negative relationship...Continue Reading

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Citations

Sep 5, 2017·The British Journal of Radiology·Iain PhillipsPhilip Evans
Nov 13, 2020·BJR Open·Loïg VaugierEmmanuel Jouglar
Mar 7, 2021·Diagnostics·Manuel Piñeiro-FielPablo Aguiar
Jun 27, 2018·Nuclear Medicine and Molecular Imaging·Jeong Won Lee, Sang Mi Lee
Apr 3, 2018·Nuclear Medicine Communications·Angelo CastelloEgesta Lopci
Aug 17, 2021·Radiologic Clinics of North America·Katherine A ZukotynskiVictor H Gerbaudo
May 22, 2021·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Maja GuberinaMartin Stuschke

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Methods Mentioned

BETA
feature extraction

Software Mentioned

MaZda
SLICER
SPSS

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