2016
DOI: 10.3389/fped.2016.00065
|View full text |Cite
|
Sign up to set email alerts
|

Pre-Adult MRI of Brain Cancer and Neurological Injury: Multivariate Analyses

Abstract: Brain cancer and neurological injuries, such as stroke, are life-threatening conditions for which further research is needed to overcome the many challenges associated with providing optimal patient care. Multivariate analysis (MVA) is a class of pattern recognition technique involving the processing of data that contains multiple measurements per sample. MVA can be used to address a wide variety of neuroimaging challenges, including identifying variables associated with patient outcomes; understanding an inju… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
6
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 105 publications
0
6
0
Order By: Relevance
“…The analysis of brain tumors in adults, and the extraction of imaging biomarkers from MR images, have both been the subject of extensive research over the past decade (Levman and Takahashi 2016;Bauer et al 2013). A substantial number of longitudinal studies in the field of brain MRI consist of the identification of biomarkers in MR images, determined by neuroradiological visual assessment, followed by a quantitative statistical analysis of these biomarkers, observing the degree of correlation be-tween the occurrence of these biomarkers and the occurrence of a measurable outcome.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis of brain tumors in adults, and the extraction of imaging biomarkers from MR images, have both been the subject of extensive research over the past decade (Levman and Takahashi 2016;Bauer et al 2013). A substantial number of longitudinal studies in the field of brain MRI consist of the identification of biomarkers in MR images, determined by neuroradiological visual assessment, followed by a quantitative statistical analysis of these biomarkers, observing the degree of correlation be-tween the occurrence of these biomarkers and the occurrence of a measurable outcome.…”
Section: Introductionmentioning
confidence: 99%
“…ML (or statistical learning) is a group of multivariate analytic methods that first identify the most significant data features or patterns that can best separate the data into different classes in the training dataset, and then apply these data features or patterns to the test dataset for data classification or prediction. ML has been increasingly applied to the biomedical field ( 14 , 15 ), and examples of ML methods include linear discriminate analysis ( 16 ), support vector machine (SVM) ( 17 ), artificial neural networks (ANN) ( 18 ), random forest ( 19 ), and cluster analysis ( 20 ).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, advanced MRI techniques (modalities) such as DWI (Diffusion Weighted Imaging), MRS (MR Spectroscopy) and PWI (Perfusion Weighted Imaging) are needed to help with tumor assessment, and are increasingly used in brain tumor diagnosis. DWI is based on water diffusion and the apparent diffusion coefficient (ADC) map that DWI generates provides information on the conditions of different brain tissues [2]. MRS provides information on the specific molecules' concentration in the brain tissue which reflects the biochemical characteristics in that brain region.…”
Section: Introductionmentioning
confidence: 99%
“…Multivariate analysis includes a number of analytic methods such as multivariate regression, principal components analysis (PCA), independent components analysis (ICA) and cluster analysis. Machine learning (statistical learning) is a group of multivariate analytic methods often used in data classification, pattern recognition and data mining [2]. Machine learning can be either supervised or unsupervised.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation