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Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
Published on: July 5, 2021
Diffusion tensor tractography in the head-and-neck region using a clinical 3-T MR scanner
Masuma Akter1, Toshinori Hirai, Ryosei Minoda
1Department of Diagnostic Radiology, Kumamoto University Graduate School of Medical Sciences, 1-1-1 Honjo, Kumamoto 860-8556, Japan.
Academic Radiology
|April 21, 2009
Summary
Diffusion tensor tractography (DTT) is feasible for visualizing head and neck neural fibers at 3T MRI. This technique showed good agreement with operative findings in patients with head and neck mass lesions.
Area of Science:
- Neuroimaging
- Medical Physics
- Radiology
Background:
- Diffusion tensor tractography (DTT) has not been previously reported for head and neck neural fibers at 3T.
- Accurate visualization of neural pathways is crucial for surgical planning in the head and neck region.
Purpose of the Study:
- To evaluate the feasibility of DTT for visualizing head and neck neural fibers at 3T.
- To explore the application of DTT in patients with head and neck mass lesions.
Main Methods:
- 3T MRI scans were acquired from 5 healthy volunteers and 5 patients with head and neck mass lesions.
- Diffusion tensor imaging with a b value of 800 s/mm(2) and continuous tracking method were used.
- Tractography results were compared with operative findings in patients by two observers.
Main Results:
- DTT successfully depicted neural fibers, including presumed inferior alveolar nerves, in all patients.
- Optimal parameters for fiber density detection were identified (max angle 40°, min length 10 mm).
- Tractography results showed good agreement with operative findings in 4 out of 5 patients, with good interobserver agreement.
Conclusions:
- Diffusion tensor tractography (DTT) is a feasible technique for visualizing neural fibers in the head and neck region using a 3T MRI scanner.
- The study demonstrates good concordance between DTT and surgical outcomes in patients with head and neck masses, suggesting its clinical utility.

