The Assessment of White Matter Integrity Alteration Pattern in Patients with Brain Tumor Utilizing Diffusion Tensor Imaging: A Systematic Review.
Aiman Abdul MananNoorazrul Azmie YahyaNur Hartini Mohd TaibZamzuri IdrisHanani Abdul MananPublished in: Cancers (2023)
Alteration in the surrounding brain tissue may occur in the presence of a brain tumor. The present study aims to assess the characteristics and criteria of the pattern of white matter tract microstructure integrity alteration in brain tumor patients. The Scopus, PubMed/Medline, and Web of Science electronic databases were searched for related articles based on the guidelines established by PRISMA. Twenty-five studies were selected on the morphological changes of white matter tract integrity based on the differential classification of white matter tract (WMT) patterns in brain tumor patients through diffusion tensor imaging (DTI). The characterization was based on two criteria: the visualization of the tract-its orientation and position-and the DTI parameters, which were the fractional anisotropy and apparent diffusion coefficient. Individual evaluations revealed no absolute, mutually exclusive type of tumor in relation to morphological WMT microstructure integrity changes. In most cases, different types and grades of tumors have shown displacement or infiltration. Characterizing morphological changes in the integrity of the white matter tract microstructures is vital in the diagnostic and prognostic evaluation of the tumor's progression and could be a potential assessment for the early detection of possible neurological defects that may affect the patient, as well as aiding in surgery decision-making.
Keyphrases
- white matter
- multiple sclerosis
- end stage renal disease
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- minimally invasive
- machine learning
- prognostic factors
- public health
- single cell
- magnetic resonance imaging
- patient reported outcomes
- deep learning
- magnetic resonance
- case report
- blood brain barrier
- acute coronary syndrome
- coronary artery bypass
- big data
- clinical evaluation
- resting state
- cerebral ischemia
- case control