Abstract
Purpose:The removal of small foreign bodies embedded within the deep soft tissues of the maxillofacial region is a complex and challenging task for maxillofacial surgeons.The purpose of this study was to explore the efficacy of the combination of intraoperative CT and surgical navigation for the removal of small foreign objects in the maxillofacial region.Methods:A serial case study was conducted involving all consecutive patients who underwent surgical removal of small foreign bodies in the maxillofacial region.The combination of intraoperative CT and a surgical navigation system was used at a single medical institution from January 2018 to December 2022.Comprehensive data,including patient demographics,characteristics of the foreign bodies,previous surgical interventions,duration of the surgical procedure,and removal success rate were collected for this study.Relevant data were recorded into Microsoft Excel sheet and analyzed using SPSS version 22.0.Results:Nine patients(6 males and 3 females)were included in this study,with an average age of 37 years.Each patient had previously undergone an unsuccessful removal attempt utilizing conventional surgical methods based on preoperative CT imaging or C-arm guidance at a local healthcare facility.Four patients also experienced unsuccessful attempts with preoperative CT image-based navigation systems.However,by employing the combined approach of intraoperative CT and surgical navigation,the foreign bodies were successfully removed in all 9 patients.The mean duration of the surgical procedure was 59 min,and the average size of the foreign bodies was approximately 26 mm3.Postoperative follow-up exceeding 6 months revealed no complications.Conclusion:The combined use of a surgical navigation system and intraoperative CT represents a potent and effective strategy for the precise localization and subsequent removal of small foreign bodies from the soft tissue structures of the maxillofacial region.This integrative approach appears to increase the success rate of surgical interventions in such cases.
基金项目
Technological Innovation Plan and Innovation Team Project of PLA(2023YXKY005)
NETL
NSTL
万方数据