Radiomic analysis of magnetic resonance fingerprinting in adult brain tumors

Purpose This is a radiomics study investigating the ability of texture analysis of MRF maps to improve differentiation between intra-axial adult brain tumors and to predict survival in the glioblastoma cohort. Methods Magnetic resonance fingerprinting (MRF) acquisition was performed on 31 patients a...

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Bibliographic Details
Published in:European journal of nuclear medicine and molecular imaging 2021-03, Vol.48 (3), p.683-693
Main Authors: Dastmalchian, Sara, Kilinc, Ozden, Onyewadume, Louisa, Tippareddy, Charit, McGivney, Debra, Ma, Dan, Griswold, Mark, Sunshine, Jeffrey, Gulani, Vikas, Barnholtz-Sloan, Jill S., Sloan, Andrew E., Badve, Chaitra
Format: Article
Language:English
Subjects:
Advanced Image Analyses (Radiomics and Artificial Intelligence)
Brain
Brain cancer
Brain mapping
Brain tumors
Cardiology
Correlation analysis
Entropy
Fingerprinting
Glioblastoma
Glioma
Heterogeneity
Homogeneity
Imaging
Magnetic resonance
Medicine
Medicine & Public Health
Metastases
Metastasis
Nuclear Medicine
Oncology
Original Article
Orthopedics
Radiology
Radiomics
Rank tests
Solid tumors
Substantia alba
Survival
Survival analysis
Texture
Tumors
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Summary:Purpose This is a radiomics study investigating the ability of texture analysis of MRF maps to improve differentiation between intra-axial adult brain tumors and to predict survival in the glioblastoma cohort. Methods Magnetic resonance fingerprinting (MRF) acquisition was performed on 31 patients across 3 groups: 17 glioblastomas, 6 low-grade gliomas, and 8 metastases. Using regions of interest for the solid tumor and peritumoral white matter on T1 and T2 maps, second-order texture features were calculated from gray-level co-occurrence matrices and gray-level run length matrices. Selected features were compared across the three tumor groups using Wilcoxon rank-sum test. Receiver operating characteristic curve analysis was performed for each feature. Kaplan-Meier method was used for survival analysis with log rank tests. Results Low-grade gliomas and glioblastomas had significantly higher run percentage, run entropy, and information measure of correlation 1 on T1 than metastases ( p  
ISSN:1619-7070
1619-7089
DOI:10.1007/s00259-020-05037-w