Computational modeling of basal ganglia hemorrhage morphology improves functional outcome prognostication after minimally invasive surgical evacuation.

Introduction: Anatomic factors that predict outcomes following basal ganglia intracranial hemorrhage (bgICH) evacuation are poorly understood. Given the compact neuroanatomic organization of the basal ganglia, we hypothesized that bgICH spatial representation could predict postoperative functional outcomes.

Methods: Patients undergoing minimally invasive surgical bgICH evacuation between 2013 and 2024 at one center were retrospectively reviewed. bgICH volumes were segmented and stereotactically localized using anatomic landmarks. Heat maps that identified bgICH spatial representation across functional outcome states were generated. Differential bgICH volume overlap with each heat map was calculated after subtracting out that patient's contribution to the map. Area under the receiver operating characteristic curve (AUC) was used to evaluate the diagnostic accuracy of differential volume overlap for poor functional outcome (modified Rankin Scale score of 4-6 within 1 year of surgery) and compared with that of the intracranial hemorrhage (ICH) score with a z test.

Results: Forty-five patients were included (62% men, 7% Caucasian, median age 53 years). Thirty-two patients (71%) had poor functional outcome (median follow-up 4.1 months), which was associated with increased age (P=0.032), bgICH volume (P=0.005), intraventricular hemorrhage severity (P=0.032), National Institutes of Health Stroke Scale (P=0.006), and differential volume overlap (P<0.001). Anatomically, poor outcome was associated with bgICH extension into the anterior limb of the internal capsule (P=0.004), caudate (P=0.042), and temporal lobe (P=0.006). The AUC for differential volume overlap was 0.87 (95% CI: 0.76-0.97), which was higher than chance alone (P<0.001), but statistically similar to that (0.82 (0.71-0.97)) of the ICH score (P=0.545).

Conclusion: Stereotactic bgICH localization enabled functional outcome prognostication in patients undergoing minimally invasive surgical evacuation.