Journal
IEEE ACCESS
Volume 7, Issue -, Pages 97106-97116Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2923755
Keywords
Hippocampus; radiomics features; repeatability
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Funding
- Primary Research and Development Plan of Shandong Province [2017GGX10112]
- Open Project Program of the National Laboratory of Pattern Recognition (NLPR) [201900021]
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Radiomics is a quantitative method to extract medical features that can extend to details that are invisible to human eyes. Studies have suggested that radiomics of the hippocampus is a potential imaging biomarker for several diseases, including Alzheimer's disease, mild cognitive impairment, and multiple sclerosis. This study investigates the test-retest reproducibility of radiomics features of the hippocampus. For this purpose, the intra-class correlation coefficient (ICC) and overall concordance correlation coefficient (OCCC) of the radiomics features of the hippocampus were well studied in four datasets consisting of 15, 19, 23, and 3 subjects who were scanned three, two, four, and forty times, respectively. The results highlight that the hippocampal texture features are the most repeatable, and that texture features are a possible neuroimaging biomarker for clinical studies.
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