Normative Baseline for Radiomics in Brain MRI: Evaluating the Robustness, Regional Variations, and Reproducibility on FLAIR Images

• Published in: Journal of magnetic resonance imaging Vol. 53; no. 2; pp. 394 - 407
• Main Authors: Pandey, Umang, Saini, Jitender, Kumar, Manoj, Gupta, Rakesh, Ingalhalikar, Madhura
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.02.2021; Wiley Subscription Services, Inc
• Subjects: Adolescent; Adult; Age; Attenuation; Brain; Brain - anatomy & histology; Brain cancer; Brain Mapping - methods; Brain tumors; Child; Coefficient of variation; Correlation analysis; Evaluation; Female; Field strength; FLAIR; Humans; Image Processing, Computer-Assisted - methods; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medical imaging; Mental disorders; Middle Aged; MRI; Neuroimaging; Neuroimaging - methods; Neurological diseases; Population studies; Radiomics; Reliability; Reproducibility; Reproducibility of Results; Retrospective Studies; Robustness; Scanners; sensitivity; Statistical analysis; Statistical tests; Substantia alba; Substantia grisea; Variance analysis; Young Adult; radiomics; MRI; reproducibility; robustness; FLAIR; sensitivity; brain

Background Radiomics in neuroimaging has gained momentum as a noninvasive prediction tool not only to differentiate between types of brain tumors, but also to create phenotypic signatures in neurological and neuropsychiatric disorders. However, there is currently little understating about the robust...