Objective: The 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. Methods: The 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. Results: The 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). Conclusion: Neuroendoscopy-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. doi: https://doi.org/10.12669/pjms.37.6-WIT.4850 How to cite this:Zhang P, Zhang L, Zhao R. Application of MRI images based on Spatial Fuzzy Clustering Algorithm guided by Neuroendoscopy in the treatment of Tumors in the Saddle Region. Pak J Med Sci. 2021;37(6):1600-1604.  doi: https://doi.org/10.12669/pjms.37.6-WIT.4850 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background Increasing studies have suggested that microRNAs (miRNAs) contribute to the occurrence and development of glioblastoma. MiR-522-3p is a novel miRNA, which has been found to modulate tumorigenesis and tumor progression. However, its pathological role and functional mechanism in glioblastoma remain elusive at present. Method The miR-522-3p expression in glioblastoma and adjacent normal tissues, human fetal astrocyte HA1800, and glioblastoma cell lines was detected by reverse transcription-PCR. The proliferation, migration, and invasion were detected through Cell Counting Kit-8 (CCK8) and Transwell assay, and apoptosis was calculated through flow cytometry. The downstream target of miR-522-3p was analyzed through bioinformatics, and the correlation between miR-522-3p and secreted frizzled-related protein 2 (SFRP2) was verified through dual-luciferase reporter assay and RNA immunoprecipitation (RIP) experiment. Besides, western blot was conducted to test the level of SFRP2 and the Wnt/β-catenin pathway. Results MiR-522-3p was overexpressed in glioblastoma tissues compared with that in normal tissues, and the inhibition of miR-522-3p reduced cell proliferation, migration, and invasion and promoted apoptosis in glioblastoma. Bioinformatics revealed that SFRP2 was an essential downstream target of miR-522-3p, and it inhibited the malignant biological behaviors induced by miR-522-3p and inactivated the Wnt/β-catenin pathway. Conclusion MiR-522-3p is an oncogene in glioblastoma by targeting SFRP2 through the Wnt/β-catenin pathway.