- VernacularTitle:MRI三维重建技术在颅神经血管压迫综合征中的应用价值
- Author:
Dan LI
1
;
Yang LIU
;
Miao LEI
;
Chuankun LI
;
Ming ZHANG
;
Yuan WANG
Author Information
- Keywords: cranial neurovascular compression syndrome; offending vessel; curved planar reconstruction; magnetic resonance virtual endoscopy
- From: Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(5):844-850
- CountryChina
- Language:Chinese
- Abstract: Objective To investigate the application value of MRI three-dimensional reconstruction techniques in the identification of offending vessels and affected nerves in cranial neurovascular compression syndrome.Methods A total of 91 patients with trigeminal neuralgia and 72 patients with hemifacial spasm underwent FIESTA and TOF-MRA scanning before microvascular decompression.Two-dimensional and three-dimensional reconstruction techniques(curved planar reconstruction and MR virtual endoscopy)were respectively performed using the original MRI data so as to evaluate the number and category of offending vessels and the degree of compression on cranial nerves.The results of imaging diagnosis were compared with the observations during neurosurgery.Results The correct identification rate of the offending vessels in trigeminal neuralgia was 95.6%by 3D reconstruction technique,with 94.5%diagnostic accuracy of neurovascular compression.In addition,the accurate identification rate was 91.7%on the detection of the offending vessels in hemifacial spasm,with 89.5%accuracy of the judgment on neurovascular compression.It should be noted that the diagnostic accuracy for the simple contact between the offending blood vessels and the cranial nerves using 3D reconstruction was significantly higher than that of the evaluation through 2D observation(P<0.05).Conclusion 3D reconstruction technique can improve the accuracy of offending blood vessels identification and provide more reliable information on the degree of cranial nerve distortion or atrophy.Therefore,3D MRI images are more suitable for investigating the complex neurovascular compression.