• Pak J Med Sci · Jan 2021

    Application of MRI images based on Spatial Fuzzy Clustering Algorithm guided by Neuroendoscopy in the treatment of Tumors in the Saddle Region.

    • Peng Zhang, Lingdang Zhang, and Rui Zhao.
    • Peng Zhang, Attending Physician. Department of Neurosurgery, Chongqing Three Gorges Central Hospital, 165 Xincheng Road, Wanzhou District, Chongqing, 404100, China.
    • Pak J Med Sci. 2021 Jan 1; 37 (6): 1600-1604.

    ObjectiveThe paper applies spatial fuzzy clustering algorithm to explore the role and value of neuroendoscopic assisted technology in the operation of tumors in the saddle region, and analyze the MRI image characteristics of tumors in the saddle region.MethodsThe clinical data of 63 patients from our hospital who underwent neuroendoscopic assisted microscopy to remove tumors in the saddle area from 2017 to 2019 (neuroendoscopy-assisted group) were collected. Seventy six patients who occupied the saddle area by microscopic resection only in the same period (Simple microscope group) clinical data. By comparing the patient's tumor resection rate, postoperative complication rate and postoperative recurrence rate, the surgical effect was evaluated.ResultsThe total resection rates of the tumors in the neuroendoscopy-assisted group and the microscope-only group were 95.24% (60/63) and 80.26% (61/76). The incidence of postoperative vasospasm was 3.17% (2/63) and 13.16% (10/76), the incidence of nerve injury was 0 (0/63) and 6.58% (5/76), the difference was statistically significant (P <0.05). There was no significant difference in the incidence of postoperative infection, cerebrospinal fluid leakage and postoperative recurrence rate between the two groups (P> 0.05).ConclusionNeuroendoscopy-assisted microscopy-based removal of the saddle area occupying space based on spatial fuzzy clustering algorithm can increase the total tumor resection rate and reduce the incidence of complications.Copyright: © Pakistan Journal of Medical Sciences.

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