====== Aneurysm Recanalization Stratification Scale ====== With the increasing use of [[endovascular technique]]s in the treatment of both [[ruptured intracranial aneurysm]] and [[unruptured intracranial aneurysm]]s, the issue of Recanalized [[intracranial aneurysm]] efficacy has become increasingly important. [[Christopher S. Ogilvy]] et al. retrospectively reviewed medical records that were prospectively collected for 305 patients who received endovascular treatment for [[intracranial aneurysm]]s from 2007 to 2013. Multivariable [[logistic regression]] was performed on candidate predictors identified by univariable screening analysis to detect independent predictors of retreatment. A composite risk score was constructed based on the proportional contribution of independent predictors in the multivariable model. Size (>10 mm), aneurysm rupture, stent assistance, and posttreatment degree of aneurysm occlusion were independently associated with retreatment, whereas intraluminal thrombosis and flow diversion demonstrated a trend toward retreatment. The Aneurysm Recanalization Stratification Scale was constructed by assigning the following weights to statistically and clinically significant predictors: aneurysm-specific factors: size (>10 mm), 2 points; Rupture, 2 points; Presence of thrombus, 2 points. Treatment-related factors were stent assistance, 1 point; flow diversion, 2 points; [[Raymond-Roy occlusion classification]] occlusion class 2, 1 point; Raymond-Roy occlusion class 3, 2 points. This scale demonstrated good discrimination with a C-statistic of 0.799. Surgical decision-making and patient-centered informed consent require comprehensive and accessible information on treatment efficacy. We constructed the Aneurysm Recanalization Stratification Scale to enhance this decision-making process. This is the first comprehensive model that has been developed to quantitatively predict the risk of retreatment after [[endovascular therapy]] ((Ogilvy CS, Chua MH, Fusco MR, Reddy AS, Thomas AJ. Stratification of recanalization for patients with endovascular treatment of intracranial aneurysms. Neurosurgery. 2015 Apr;76(4):390-5. doi: 10.1227/NEU.0000000000000651. PubMed PMID: 25621984. )) ((Ogilvy CS, Chua MH, Fusco MR, Griessenauer CJ, Harrigan MR, Sonig A, Siddiqui AH, Levy EI, Snyder K, Avery M, Mitha A, Shores J, Hoh BL, Thomas AJ. Validation of a System to Predict Recanalization After Endovascular Treatment of Intracranial Aneurysms. Neurosurgery. 2015 Apr 4. [Epub ahead of print] PubMed PMID: 25850603. ))