<sup>18</sup>F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort

Mathieu Hatt; Mohamed Majdoub; Martin Vallières; Florent Tixier; Catherine Cheze Le Rest

doi:10.2967/jnumed.114.144055

<sup>18</sup>F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort

Mathieu Hatt, Mohamed Majdoub, Martin Vallières, Florent Tixier, Catherine Cheze Le Rest, David Groheux, Elif Hindié, Antoine Martineau, Olivier Pradier, Roland Hustinx, R. Perdrisot, Rémy Guillevin, Issam El Naqa, Dimitris Visvikis

Society of Nuclear Medicine and Molecular Imaging (2014) • Volume 56, Issue 1, Pages 38-44

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Abstract

Our results suggest that heterogeneity quantification and volume may provide valuable complementary information for volumes above 10 cm(3), although the complementary information increases substantially with larger volumes.

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Publication Info

DOI

10.2967/jnumed.114.144055

Language

English

Topic

Radiomics and Machine Learning in Medical Imaging

Keywords

Lung cancer, Correlation, Spearman's rank correlation coefficient, Rank correlation, Head and neck cancer, Medicine, Nuclear medicine, Breast cancer, Cancer, Cohort, Population, Multivariate analysis, Internal medicine, Oncology, Mathematics, Statistics

Published

December 11, 2014

Citations

427 citations

FWCI

32.42

External Resources

DOI Link OpenAlex

<sup>18</sup>F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort

Abstract

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Publication Info

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