Acta Neurochirurgica (2025) 167:324
This study compares the Integrated Insular Phenotype (IIP), a three-level ordinal topographic classification of insular gliomas, with Berger–Sanai and Yasargil systems to evaluate prognostic performance for extent of resection, seizure control, and persistent neurological deficit at 90 days. Using retrospective analysis of 167 surgically treated patients, logistic regression and model metrics (AUC, AIC, LR χ2) assessed associations between classification complexity and outcomes.
Results show increasing IIP complexity strongly predicted lower resectability, poorer seizure control, and higher persistent deficit risk; IIP produced more stable odds ratios, lower AIC, and higher LR χ2 than traditional systems. The authors propose IIP as a practical risk-stratification tool to balance oncological radicality and functional safety, recommending multicenter prospective validation and integration with molecular and intraoperative technologies.
Integrated Insular Phenotype (IIP): An ordinal classification system for insular gliomas that incorporates tumor topographic complexity and multizonal involvement, outperforming traditional Berger–Sanai and Yasargil systems in prognostic accuracy for surgical outcomes.
Prognostic Value: IIP demonstrates superior and more stable associations with key surgical outcomes—extent of resection, seizure control, and persistent neurological deficit at 90 days—compared to Berger–Sanai and Yasargil classifications, as shown by higher informativeness, lower AIC, and more reproducible odds ratios.
Surgical Complexity: Higher IIP complexity (IIP-M) is linked to reduced likelihood of total/subtotal resection, poorer seizure control, and increased risk of persistent neurological deficits, while simpler phenotypes (IIP-L) are associated with more favorable outcomes.
Traditional Classifications: Berger–Sanai and Yasargil systems provide limited prognostic value; Berger–Sanai yields high but unstable odds ratios with wide confidence intervals, while Yasargil offers consistent but less discriminative results.
Clinical Implications: IIP can guide individualized surgical strategies by balancing oncological radicality against functional safety, supporting the principle of maximal safe resection and informing risk stratification.
Seizure Outcomes: Multizonal and widespread IIP phenotypes (IIP-M) are associated with poorer postoperative seizure control, reflecting the challenge of eliminating diffuse epileptogenic networks.
Study Limitations: The findings are based on a single-center retrospective cohort; external validation and integration with molecular, histopathological, and neurocognitive factors are needed for broader applicability.
Future Directions: Prospective multicenter validation, integration with intraoperative technologies, and use of AI/ML for risk stratification and personalized planning are recommended to enhance the utility of IIP in clinical practice







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