Consistency of neurovascular relationship between multimodal image fusion 3D reconstruction and intraoperative findings of microvascular decompression for primary trigeminal neuralgia

Objective To explore the consistency of neurovascular relationships between multimodal image fusion 3D reconstruction and intraoperative findings in microvascular decompression (MVD) for primary trigeminal neuralgia (PTN). Methods A retrospective analysis was conducted on the clinical data of 50 PTN patients treated with MVD at Department of Neurosurgery, Qingdao University Hospital from January to November 2018. All subjects underwent three-dimensional time-flying magnetic resonance angiography (3D-TOF-MRA) and three-dimensional cyclic phase steady-state acquisition rapid imaging (3D-FIESTA) sequences. Then, the 3D-slicer software was used to reconstruct the multimodal fusion 3D image. Multimodal image fusion 3D reconstruction images and surgical video were analyzed to determine the offending vessels responsible for trigeminal neuralgia. At the same time, the direction of compression, compression site and compression degree of the trigeminal nerve were analyzed. Kappa consistency test method was used to judge the consistency of the two approaches above. Results With MVD set as the standard, the accuracies of multimodal image fusion 3D reconstruction images in determining the offending vessels, direction of compression, compression site and the degree of compression were 92.0% (46/50), 92.0% (46/50), 96.0% (48/50) and 58.0% (29/50), respectively. Multimodal image fusion 3D reconstruction images and MVD showed high consistency in judging offending vessels, compression direction and compression position (Kappa values: 0.729, 0.903 and 0.955 respectively, all P<0.001). However, the consistency was poor in judging the degree of compression of offending vessels to the trigeminal nerve (Kappa value=0.227, P=0.002). The degree of compression was higher in intraoperative findings of MVD than that revealed by multimodal image fusion three-dimensional reconstruction (mean values: 2.57 and 1.58 respectively, Z=-4.499, P<0.001). Conclusions Preoperative multi-modal image fusion 3D reconstruction could help accurately determine the offending vessel, compression direction and compression position of PTN, which seems highly consistent with intraoperative findings of MVD. Preliminary speculation could be used as one of the methods facilitating preoperative diagnosis. Key words: Trigeminal neuralgia; Multimodal image fusion; Microvascular decompression; Neurovascular relationship; Computer-aided diagnosis