Literature DB >> 30661157

What is the role of diffusion tensor imaging (DTI) in detecting subclinical pyramidal tract dysfunction in Behçet's and neuro-Behçet's cases?

Seyma Ciftci Aykac1, Figen Gökcay2, Cem Calli3.   

Abstract

The aim of this study is to investigate the pyramidal tract integrity with DTI in Behçet's and neuro-Behçet's cases. We performed this technique in two subgroups of neuro-Behçet's patients (parenchymal and vascular), and Behçet's cases without neurological involvement and control group. Totally, 28 patients were investigated. The control group was composed of 14 healthy people. Cranial MR and DTI were performed in three patient groups and the control group. At DTI, circular regions of interest (ROI) were symmetrically drawn on axial slices on the left and right sides along the pyramidal tract pathway at two levels: middle one third of the cerebral peduncle and posterior limb of the internal capsule. Fractional anisotropy (FA) values for each ROI were obtained by averaging all voxels within the ROI. Calculated FA values on both sides (left and right) of the posterior limb of the internal capsule and cerebral peduncle are significantly lower in all three patient groups when compared to the control group. But there is no any difference of FA values in the selected brain regions of three patient groups. FA values on the posterior limb of the internal capsule and cerebral peduncle do not show a statistically significant difference in parenchymal neuro-Behçet's cases. Our study demonstrates that DTI can detect subclinical pyramidal tract dysfunction in neuro-Behçet's and Behçet's patients. Detection of subclinical nervous system involvement is crucial for morbidity in Behçet's disease. For this reason, studies based on DTI, which include a large number of patients and explore different brain regions, are needed to guide clinicians.

Entities:  

Keywords:  DTI; Neuro-Behçet’s disease; Pyramidal tract

Mesh:

Year:  2019        PMID: 30661157     DOI: 10.1007/s10072-019-3727-9

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  8 in total

Review 1.  The future for diffusion tensor imaging in neuropsychiatry.

Authors:  Katherine H Taber; Carlo Pierpaoli; Stephen E Rose; Fergus J Rugg-Gunn; Jonathan B Chalk; Derek K Jones; Robin A Hurley
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2002       Impact factor: 2.198

Review 2.  Behçet's disease and the nervous system.

Authors:  P Serdaroğlu
Journal:  J Neurol       Date:  1998-04       Impact factor: 4.849

3.  MRI in 31 patients with Behçet's disease and neurological involvement: prospective study with clinical correlation.

Authors:  B Wechsler; B Dell'lsola; M Vidailhet; D Dormont; J C Piette; O Blétry; P Godeau
Journal:  J Neurol Neurosurg Psychiatry       Date:  1993-07       Impact factor: 10.154

4.  MRI in neuro-Behçet's disease.

Authors:  E T Tali; S Atilla; T Keskin; T Simonson; S Işik; W T Yuh
Journal:  Neuroradiology       Date:  1997-01       Impact factor: 2.804

5.  Diffusion-weighted imaging in chronic Behçet patients with and without neurological findings.

Authors:  T Baysal; M Dogan; R Karlidag; H I Ozisik; O Baysal; T Bulut; K Sarac
Journal:  Neuroradiology       Date:  2005-05-26       Impact factor: 2.804

6.  Age-related alterations in white matter microstructure measured by diffusion tensor imaging.

Authors:  D H Salat; D S Tuch; D N Greve; A J W van der Kouwe; N D Hevelone; A K Zaleta; B R Rosen; B Fischl; S Corkin; H Diana Rosas; A M Dale
Journal:  Neurobiol Aging       Date:  2004-12-19       Impact factor: 4.673

7.  Proton MRS in Behçet's disease with and without neurological findings.

Authors:  T Baysal; H I Ozisik; R Karlidag; K Sarac; O Baysal; A Dusak; E Hazneci; C Ozcan
Journal:  Neuroradiology       Date:  2003-10-31       Impact factor: 2.804

Review 8.  Neuro-Behçet's disease: epidemiology, clinical characteristics, and management.

Authors:  Adnan Al-Araji; Desmond P Kidd
Journal:  Lancet Neurol       Date:  2009-02       Impact factor: 44.182

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.