Objective  To evaluate the clinical value of three-dimensional reconstruction based on multimodal image fusion combined with navigation technology in tumor resection in the lateral deep facial region.

Methods  Forty patients with lateral deep facial region tumors admitted to Xuzhou Central Hospital, Southeast University between June 2023 and May 2025 were enrolled and randomly assigned to an experimental or a control group, with 20 cases in each group. In the experimental group, MRI and enhanced CT data were fused using Mimics 21.0 software to construct a three-dimensional (3D) model for surgical planning, and tumor resection was performed with navigation assistance. Patients in the control group underwent surgery using traditional two-dimensional imaging combined with navigation. Imaging fusion quality, perioperative indicators, and postoperative complications were compared between the two groups.

Results  All procedures were completed successfully. In the experimental group, multimodal image fusion was achieved in all cases, enabling construction of 3D visualization models that clearly and stereoscopically displayed the spatial relationships between tumors and adjacent vascular structures, such as the internal jugular vein. The experimental group showed significantly shorter preoperative communication time (P<0.05), lower preoperative anxiety scores (P<0.001), and higher doctor–patient communication satisfaction scores (P<0.001) than the control group. Surgical outcomes demonstrated that the experimental group had significantly smaller tumor volume prediction errors, shorter operation times, and lower intraoperative blood loss (P<0.05) than the control group. Complete tumor resection rate did not differ significantly between the experimental (95%) and control (75%) groups (P>0.05). Additionally, the incidence of postoperative complications in the experimental group was 10.0% (2/20), which was significantly lower than that in the control group (40.0%, 8/20), with statistical significance (P<0.05). ConclusionsIntegration of multimodal imaging fusion, 3D reconstruction, and surgical navigation systems significantly enhances the quality of preoperative doctor–patient communication through improved multidimensional anatomical visualization and real-time intraoperative localization. This combined approach provides essential technical support for precise tumor resection in the deep lateral facial region, demonstrating substantial clinical application value.