@article{6722a949fbcb4a8cb6adf83ed6d6fcab,
title = "Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial",
abstract = "Quantitative radiomics features, extracted from medical images, characterize tumour-phenotypes and have been shown to provide prognostic value in predicting clinical outcomes. Stability of radiomics features extracted from apparent diffusion coefficient (ADC)-maps is essential for reliable correlation with the underlying pathology and its clinical applications. Within a multicentre, multi-vendor trial we established a method to analyse radiomics features from ADC-maps of ovarian (n = 12), lung (n = 19), and colorectal liver metastasis (n = 30) cancer patients who underwent repeated (<7 days) diffusion-weighted imaging at 1.5 T and 3 T. From these ADC-maps, 1322 features describing tumour shape, texture and intensity were retrospectively extracted and stable features were selected using the concordance correlation coefficient (CCC > 0.85). Although some features were tissue-and/or respiratory motion-specific, 122 features were stable for all tumour-entities. A large proportion of features were stable across different vendors and field strengths. By extracting stable phenotypic features, fitting-dimensionality is reduced and reliable prognostic models can be created, paving the way for clinical implementation of ADC-based radiomics.",
keywords = "CELL LUNG-CANCER, WEIGHTED MRI, TEXTURAL FEATURES, DW-MRI, IMAGES, BODY, REPRODUCIBILITY, VARIABILITY",
author = "Jurgen Peerlings and Woodruff, {Henry C.} and Winfield, {Jessica M.} and Abdalla Ibrahim and {Van Beers}, {Bernard E.} and Arend Heerschap and Alan Jackson and Wildberger, {Joachim E.} and Mottaghy, {Felix M.} and DeSouza, {Nandita M.} and Philippe Lambin",
note = "Funding Information: Competing Interests: Dr. Philippe Lambin reports, within and outside the submitted work, grants/sponsored research agreements from Varian medical, Oncoradiomics, ptTheragnostic, Health Innovation Ventures and DualTpharma. He received an advisor/presenter fee and/or reimbursement of travel costs/external grant writing fee and/or in kind manpower contribution from Oncoradiomics, BHV, Merck and Convert pharmaceuticals. Dr. Lambin has shares in the company Oncoradiomics SA and Convert pharmaceuticals SA and is co-inventor of two issued patents with royalties on radiomics (PCT/NL2014/050248, PCT/NL2014/050728) licensed to Oncoradiomics and one issue patent on mtDNA (PCT/EP2014/059089) licensed to ptTheragnostic/DNAmito, three non-patentable invention (softwares) licensed to ptTheragnostic/DNAmito, Oncoradiomics and Health Innovation Ventures. Dr. Woodruff has (minority) shares in the company Oncoradiomics. Dr. Wildberger reports institutional grants from Agfa, Bard, Bayer, GE, Optimed, Philips, Siemens and personal fees (Speaker{\textquoteright}s Bureau) from Bayer and Siemens outside the submitted work. Funding Information: Authors acknowledge the contribution of data from the QuiC-ConCePT partners at VUMC, Amsterdam, Humanitas Milan, INSERM Paris, University of Manchester, Nijmegen Medical Center and The Royal Marsden Hospital, Sutton UK. Particular thanks to Prof S. Stroobants, Prof A. Chiti for their support and to P.G. Arteiser, J. Wakefield, E. Pace, A. Weller for their help with patient recruitment and region-of interest selection. Special thanks to J.E. van Timmeren, R.T.H. Leijenaar, R.T.H.M. Larue, A. Jochems for their insight in radiomics and statistical analysis. This research received financial support from ERC advanced grant (ERC-ADG-2015, n° 694812 - Hypoximmuno) and the QuIC-ConCePT project, which is partly funded by EFPI A companies and the Innovative Medicine Initiative Joint Undertaking (IMI JU) under Grant Agreement No. 115151. This research is also supported by the Dutch technology Foundation STW (grant n° 10696 DuCAT & n° P14–19 Radiomics STRaTegy), which is the applied science division of NWO, and the Technology Programme of the Ministry of Economic Affairs. Authors also acknowledge financial support from the EU 7th framework program (ARTFORCE - n° 257144, REQUITE - n° 601826), SME Phase 2 (RAIL - n°673780), EUROSTARS (SeDI, CloudAtlas, DART, DECIDE, COMPACT), the European Program H2020-2015-17 (BD2Decide - PHC30-689715, ImmunoSABR - n° 733008 and PREDICT - ITN - n° 766276), Interreg V-A Euregio Meuse-Rhine (“Euradiomics”). We acknowledge funding from Cancer Research UK BIDD grant C1353/A12762 to the Cancer Imaging Centre at the Institute of Cancer Research.We acknowledge funding from Cancer Research UK BIDD grant C8742/A18097 to the Cancer Imaging Centre at Cambridge and Manchester. Publisher Copyright: {\textcopyright} 2019, The Author(s).",
year = "2019",
month = mar,
day = "18",
doi = "10.1038/s41598-019-41344-5",
language = "English",
volume = "9",
pages = "1--10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}