Resection of Midfacial Tumors Assisted by Virtual Planning Based on CT/MRI Multimodal Image Fusion: A Cohort Study

Lei-Hao Hu1, Wei Zhou1, Wen-Bo Zhang2

  • 1Department of General Dentistry, Peking University School and Hospital of Stomatology and National Center for Stomatology and National Clinical Research Center for Oral Diseases and National Engineering Research Center of Oral Biomaterials and Digital Medical Devices and Beijing Key Laboratory of Digital Stomatology and NHC Key Laboratory of Digital Stomatology and NMPA Key Laboratory for Dental Materials, Haidian District, Beijing, 100081 People's Republic of China.

Abstract

Insights

Virtual planning using CT/MRI multimodal image fusion improved midfacial tumor resection margins. This advanced imaging technique enhances surgical outcomes and reduces local recurrence rates for patients.

Area of Science:

  • Oncology
  • Surgical Oncology
  • Medical Imaging

Background:

  • Midfacial tumors present complex surgical challenges.
  • Accurate tumor resection is crucial for patient outcomes and survival.
  • Current virtual planning methods may have limitations.

Purpose of the Study:

  • To evaluate the preliminary effect of virtual planning using CT/MRI multimodal image fusion for midfacial tumor resection.
  • To compare surgical outcomes between patients treated with multimodal image fusion versus single-modality imaging.

Main Methods:

  • A cohort study comparing patients undergoing midfacial tumor resection with virtual planning based on CT/MRI multimodal image fusion (experimental) versus single-modality CT images (control).
  • Preoperative virtual planning and intraoperative surgical navigation were utilized.
  • Resection margin status and survival were assessed during follow-up.

Main Results:

  • The experimental group achieved significantly better resection margin status (100% negative) compared to the control group (90.9% negative; P=0.014).
  • Local recurrence rates were lower in the experimental cohort (2 patients) compared to the control cohort (7 patients).

Conclusions:

  • Virtual planning based on CT/MRI multimodal image fusion is associated with a higher likelihood of achieving tumor-free resection margins in midfacial tumor surgery.
  • This image fusion technique shows potential for improving treatment outcomes in patients with midfacial tumors.

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