The relationship between the extent of posterior limb of the internal capsule damage measured by non-contrast computed tomography and clinical outcomes after basal ganglia hemorrhage.

Assessing the extent of damage to the posterior limb of the internal capsule (PLIC) is important for early prediction of clinical outcomes in intracerebral hemorrhage (ICH) patients. Currently, using MRI to reconstruct the extent of damage to PLIC is not suitable for quick assessment of prognosis in emergency settings. We aimed to investigate whether the PLIC damage quantified by non-contrast computed tomography (NCCT) is associated with clinical outcomes after basal ganglia intracerebral hemorrhage (BG-ICH). This study retrospectively included 146 BG-ICH patients from the Department of Neurosurgery at the Second Affiliated Hospital of Chongqing Medical University. The damage to the PLIC was quantified using Tangency X measured by NCCT. The importance of features is determined using the Boruta algorithm and Least Absolute Shrinkage and Selection Operator (LASSO) regression. Multivariate logistic regression models were established to examine the impact of PLIC damage on outcomes. Restricted Cubic Splines (RCS) were used to explore potential nonlinear relationships, and Receiver Operating Characteristic (ROC) curves were used to compare the predictive performance of Tangency X with other scoring systems for 6-month neurological outcomes (poor outcomes [mRS: 3-6]). In the multivariate logistic regression adjusting for all covariates, Tangency X was independently associated with an increased risk of poor outcomes (OR = 1.32, 95% CI: 1.17-1.52) in BG-ICH patients. There is a nonlinear relationship between Tangency X and poor outcomes. Specifically, the risk of poor outcomes increases by 1.29 times (OR = 1.29, 95% CI: 1.09-1.67) for each additional 1 mm increase in Tangency X beyond 4 mm. We next observed that the AUC for Tangency X in predicting poor outcomes is 0.8511. The extent of PLIC damage measured by NCCT may represent a promising predictor of poor outcomes after BG-ICH.