Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial.
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Date
2019-03-18ICR Author
Author
Peerlings, J
Woodruff, HC
Winfield, JM
Ibrahim, A
Van Beers, BE
Heerschap, A
Jackson, A
Wildberger, JE
Mottaghy, FM
DeSouza, NM
Lambin, P
Type
Journal Article
Metadata
Show full item recordAbstract
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.
Collections
Subject
Liver
Lung
Ovary
Humans
Colorectal Neoplasms
Liver Neoplasms
Ovarian Neoplasms
Lung Neoplasms
Image Interpretation, Computer-Assisted
Diffusion Magnetic Resonance Imaging
Tumor Burden
Prospective Studies
Reproducibility of Results
Adult
Aged
Aged, 80 and over
Middle Aged
Female
Male
Research team
Magnetic Resonance
Language
eng
Date accepted
2019-03-05
License start date
2019-03-18
Citation
Scientific reports, 2019, 9 (1), pp. 4800 - ?
Publisher
NATURE PORTFOLIO