Journal article

Robust, independent and relevant prognostic F-18-fluorodeoxyglucose positron emission tomography radiomics features in non-small cell lung cancer: Are there any?

Tom Konert, Sarah Everitt, Matthew D La Fontaine, Jeroen B van de Kamer, Michael P MacManus, Wouter V Vogel, Jason Callahan, Jan-Jakob Sonke

PLOS ONE | PUBLIC LIBRARY SCIENCE | Published : 2020

Abstract

In locally advanced lung cancer, established baseline clinical variables show limited prognostic accuracy and 18F-fluorodeoxyglucose positron emission tomography (FDG PET) radiomics features may increase accuracy for optimal treatment selection. Their robustness and added value relative to current clinical factors are unknown. Hence, we identify robust and independent PET radiomics features that may have complementary value in predicting survival endpoints. A 4D PET dataset (n = 70) was used for assessing the repeatability (Bland-Altman analysis) and independence of PET radiomics features (Spearman rank: |ρ|<0.5). Two 3D PET datasets combined (n = 252) were used for training and validation o..

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Grants

Awarded by Australian National Health and Medical Research Council


Funding Acknowledgements

One co-author, SE, received the Australian National Health and Medical Research Council (APP1003895) and Victorian Cancer Agency Grant. Sources: http://www.victoriancanceragency.org.au/https://www.nhmrc.gov.au/The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.