Predictive model for orbital target volume for reconstruction in hyperostotic sphenoid wing meningiomas

Area of Science:

• Neurosurgery
• Ophthalmology
• Radiology

Background:

• Hyperostotic spheno-orbital meningiomas can significantly alter orbital volume and globe position.
• Accurate estimation of orbital volume is crucial for successful surgical reconstruction.
• Current methods may not adequately account for tumor characteristics and desired proptosis correction.

Purpose of the Study:

• To develop a predictive model for estimating the optimal orbital volume in patients undergoing resection of hyperostotic spheno-orbital meningiomas.
• To guide surgical planning for cranio-orbital bone defect repair.

Main Methods:

• Retrospective analysis of radiological data from 25 patients with grade I meningiomas.
• Development and evaluation of 175 regression models using R programming language.
• Identification of an optimal linear model incorporating preoperative orbital volume ratios, tumor soft tissue component, and proptosis extent.

Main Results:

• A linear model was identified as optimal, utilizing preoperative orbital volume ratios and tumor characteristics.
• The model effectively correlates globe position alteration with orbital volume dynamics.
• This correlation allows for the prediction of an optimal orbital volume for reconstruction.

Conclusions:

• The developed model predicts an ideal orbital volume based on preoperative data and desired proptosis correction.
• A customized approach to cranio-orbital defect repair, guided by this model, is expected to improve functional and aesthetic surgical results.
• This predictive tool aids in achieving better patient outcomes after meningioma resection.