Texture Analysis in Brain Tumor MR Imaging

Texture analysis, as well as its broader category radiomics, describes a variety of techniques for image analysis that quantify the variation in surface intensity or patterns, including some that are imperceptible to the human visual system. Cerebral gliomas have been most rigorously studied in brai...

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Bibliographic Details
Published in:Magnetic Resonance in Medical Sciences 2022, Vol.21(1), pp.95-109
Main Authors: Kunimatsu, Akira, Yasaka, Koichiro, Akai, Hiroyuki, Sugawara, Haruto, Kunimatsu, Natsuko, Abe, Osamu
Format: Article
Language:English
Subjects:
Brain
Brain cancer
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - pathology
Brain tumors
Child
Entropy
glioblastoma
Glioma - diagnostic imaging
Glioma - pathology
Health risks
Histograms
Humans
Image analysis
Image processing
Image Processing, Computer-Assisted
machine learning
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
Neuroimaging
Pediatrics
Radiomics
Reproducibility
Reproducibility of Results
Retrospective Studies
Review
Texture
texture analysis
Tumors
Visual system
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Summary:Texture analysis, as well as its broader category radiomics, describes a variety of techniques for image analysis that quantify the variation in surface intensity or patterns, including some that are imperceptible to the human visual system. Cerebral gliomas have been most rigorously studied in brain tumors using MR-based texture analysis (MRTA) to determine the correlation of various clinical measures with MRTA features. Promising results in cerebral gliomas have been shown in the previous MRTA studies in terms of the correlation with the World Health Organization grades, risk stratification in gliomas, and the differentiation of gliomas from other brain tumors. Multiple MRTA studies in gliomas have repeatedly shown high performance of entropy, a measure of the randomness in image intensity values, of either histogram- or gray-level co-occurrence matrix parameters. Similarly, researchers have applied MRTA to other brain tumors, including meningiomas and pediatric posterior fossa tumors.However, the value of MRTA in the clinical use remains undetermined, probably because previous studies have shown only limited reproducibility of the result in the real world. The low-to-modest generalizability may be attributed to variations in MRTA methods, sampling bias that originates from single-institution studies, and overfitting problems to a limited number of samples.To enhance the reliability and reproducibility of MRTA studies, researchers have realized the importance of standardizing methods in the field of radiomics. Another advancement is the recent development of a comprehensive assessment system to ensure the quality of a radiomics study. These two-way approaches will secure the validity of upcoming MRTA studies. The clinical use of texture analysis in brain MRI will be accelerated by these continuous efforts.
ISSN:1347-3182
1880-2206
DOI:10.2463/mrms.rev.2020-0159