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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
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Nomogram for Predicting Osteoradionecrosis After Fibula Free Flap for Mandibular Reconstruction
Andrea Costantino1, Bianca Festa1,2, Filippo Marchi3,4
1Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Head & Neck
|December 15, 2025
Summary
A new nomogram predicts osteoradionecrosis (ORN) risk after fibula free flap mandibular reconstruction. This tool aids personalized planning for radiotherapy patients, improving clinical decision-making.
Area of Science:
- Oral and Maxillofacial Surgery
- Radiation Oncology
- Biostatistics
Background:
- Osteoradionecrosis (ORN) is a serious complication after radiotherapy (RT), especially following mandibular reconstruction using fibula free flaps.
- Accurate risk prediction for ORN is currently limited due to insufficient data.
Purpose of the Study:
- To develop and validate a predictive nomogram for osteoradionecrosis (ORN) in patients undergoing mandibular reconstruction with fibula free flaps.
- To provide a tool for individualized risk assessment to aid clinical decision-making.
Main Methods:
- A multicenter retrospective study included 294 patients who received fibula free flap reconstruction and adjuvant RT.
- Logistic regression with stepwise backward selection was used to develop the nomogram, which was validated using 10-fold cross-validation.
Main Results:
- Osteoradionecrosis (ORN) occurred in 9.9% of the patient cohort.
- The final predictive model included eight variables, demonstrating excellent discrimination (AUC = 0.94) and good calibration (mean absolute error = 0.017).
- The model achieved a sensitivity of 1.0, specificity of 0.80, and overall accuracy of 0.82 at an optimal classification threshold of 0.30.
Conclusions:
- This study presents the first nomogram specifically designed to predict ORN risk after fibula free flap mandibular reconstruction.
- The nomogram offers a personalized risk estimate, facilitating individualized clinical decisions and optimizing pre- and postoperative planning.
- Prospective validation of this predictive tool is recommended for further confirmation.

