Journal of Clinical Oncology and Cancer Research

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Reach Us +1 (629)348-3199

Abstract - Journal of Clinical Oncology and Cancer Research (2021) Volume 0, Issue 0

A Diffusion tensor imaging study to compare normative fractional anisotropy values with patients suffering from parkinsonâ??s disease in the brain white matter

 Background: The robust technique for Parkinson’s disease (PD) imaging has been the use of DTI. FA is one of the most frequently used quantitative brain diffusion measurements. 

Objective: To compare FA values between patients’s with early Parkinson’s disease and healthy controls.

Materials and Methods: In this phase of the study, 40 subjects were employed with early PD and 40 healthy controls to evaluate changes in microstructural white and gray matter in the brain using DTI. Comparison of FA values in the brain white and grey matter of patients with Parkinson’s disease and age matched controls at the corpus callosum, centrum semiovale, pons, putamen, caudate nucleus, substantial nigra, cerebral peduncles and cerebellar peduncles, was done using a ROI technique, with b-value of 1000 s/mm2 and TE=100 milliseconds using 1.5 T MRI system. We used a ROI of 8 voxels at the corpus callous, centrum semi vale and pons while rest of the regions we employed a ROI of single voxel size. At the cerebellar peduncles, a ROI of 4 voxel size was used.

Results: Our study revealed the presence of damage in the substantial nitro, corpus callosum, putamen and cerebral peduncles mainly in the PD group.

Conclusion: Our findings indicate that DTI and ROI methods can be used in patients with early PD to study microstructural alterations mainly in the substantia nigra. We also consider FA at the putamen as an early predictor of PD.

Keywords: FA; DTI, Parkinson’s disease/parkinsonism [PD], MRI.

 

Author(s): Rahul P Kotian

Abstract PDF

Get the App