ArticleFrontiers in oncology2025
Analysis of risk factors for complications after flap reconstruction of head and neck cancer and construction and validation of predictive models.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic Accuracy of AI in Prediction and Assessment of Compromised Free Flaps: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
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3 authors.
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Abstract
Objective: To analyze the importance ranking of influencing factors of postoperative complications of free flap reconstruction in patients with head and neck cancer by using Logistic regression and random forest algorithm, and to construct and verify the prediction model. Methods: The research subjects were patients with head and neck tumors who underwent free flap reconstruction in our hospital, The clinical-relevant data of all patients were collected. Patients were randomly divided into training set and validation set at the ratio of 7:3. Univariate and multivariate analyses using Logistic regression were performed to identify independent risk factors for postoperative complications. The random forest algorithm was further used to construct the prediction model, and the performance of the model was verified by receiver operating characteristic curve (ROC) analysis, calibration curve evaluation, and decision curve analysis (DCA). Results: A total of 341 patients were included in the study, and 82 cases (24.05%) had postoperative complications. Multivariate Logistic regression analysis showed that age, hypertension, operation time, bleeding volume, flap type and flap area were the independent risk factors for complications after free flap reconstruction in patients with head and neck cancer ( Conclusion: Logistic regression and random forest algorithm can effectively analyze the influencing factors of complications after free flap reconstruction in patients with head and neck cancer and construct accurate prediction model. This model can provide a scientific theoretical reference for the prevention of postoperative complications and facilitate the precise optimization of individualized prevention plans based on risk prediction.
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