Progress on Using CTA-Based Vessel Distance Index to Predict Futile Recanalization: A Retrospective Observational Study

Background: Futile recanalisation (FR) defined as functional dependence despite successful reperfusion, is common after endovascular therapy for acute stroke. We aimed to evaluate whether the Vessel Distance Index (VDI), a novel imaging parameter, has the potential to predict the risk of FR. Methods: Patients who underwent mechanical thrombectomy for acute anterior circulation large vessel occlusion between March 2022 and January 2025 were retrospectively reviewed. FR was defined as a modified Rankin Scale (mRS) score ≥3 at 90 days post-procedure. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of FR. The discriminatory ability of significant variables was evaluated using receiver operating characteristic (ROC) curve analysis. Additionally, the Jonckheere-Terpstra trend test was used to evaluate whether VDI levels showed a monotonic trend across cohorts stratified by occlusion site and infarct progression rate (IPR) associated with FR risk. Results: A total of 26 patients, accounting for 41.3% of the cohort (n = 63), were identified with FR. Advanced age, higher NIHSS score, lower ASPECTS score, and higher VDI value were independently associated with FR ( p < 0.05). The ROC curve demonstrated that the combined model achieved the best predictive performance (AUC = 0.93, p < 0.001), outperforming any single variable. VDI showed a significant upward trend with FR risk in high IPR, and MCA groups ( p < 0.05). Conclusion: These findings suggest that VDI and traditional indicators can accurately predict long-term clinical outcomes before surgery and provide guidance for clinical practice. Trial registration: Not applicable (retrospective observational study).