Quantitative Volumetric Computed Tomography Density Predicts Basal Ganglia Hemorrhage Expansion and Enhances Spot Sign Diagnostic Accuracy.

IF 3.9 2区医学 Q1 CLINICAL NEUROLOGY

Neurosurgery Pub Date : 2025-02-07 DOI:10.1227/neu.0000000000003368

Ahmed Kashkoush, Robert Winkelman, Rebecca Achey, Mark A Davison, Varun R Kshettry, Nina Moore, Catherine E Hassett, Joao Gomes, Mark Bain

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引用次数: 0

Abstract

Background and objectives: Identifying patients with basal ganglia intracranial hemorrhage (ICH) at risk of hematoma expansion (HE) may better define selection criteria for early surgical evacuation. The aim of this study was to use automated radiographic feature extraction to improve risk stratification for basal ganglia ICH expansion.

Methods: A single-center retrospective review was performed to identify patients with basal ganglia ICH between 2013 and 2024. ICH volumes were automatically segmented from the initial noncontrast computed tomography (CT) of the head using a custom-trained convolutional neural network. Features were quantified from the segmented ICH including stereotactic location, normalized volumetric CT density (nv-CTD, measured as mean ICH CT density divided by the background parenchymal CT density), volume, orientation, and border irregularity. HE was defined as an increase in hemorrhage volume of 10 mL or at a rate of 1.7 mL/h.

Results: A total of 108 patients (median age 55 years, 62% male) were included. HE occurred in 24 patients (22%) and was associated with shorter duration between symptom onset and initial CT (median 1 vs 3 hours, P = .006), a lower nv-CTD (median 2.0 vs 2.2, P = .011), and a positive spot sign (41% vs 5%, P < .001). nv-CTD was positively associated with time to presentation (R2 = 0.13, P < .001) and was negatively associated with HE in spot-sign-negative patients (median 2.0 vs 2.1, P = .016). Multivariate logistic regression modeling using nv-CTD and spot sign as inputs demonstrated improved diagnostic accuracy compared with that of the spot sign alone (area under the receiver operating characteristic curve 0.80 vs 0.68, P = .008). The area under the receiver operating characteristic curve of nv-CTD alone was 0.67 (95% CI: 0.56-0.78), which was statistically similar to that of the spot sign alone (0.68, 95% CI: 0.54-0.82) (P = .819).

Conclusion: nv-CTD is a measure of bgICH acuity and can augment spot-sign bgICH expansion risk stratification.

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来源期刊

Neurosurgery 医学-临床神经学

CiteScore

8.20

自引率

6.20%

发文量

898

审稿时长

2-4 weeks

期刊介绍： Neurosurgery, the official journal of the Congress of Neurological Surgeons, publishes research on clinical and experimental neurosurgery covering the very latest developments in science, technology, and medicine. For professionals aware of the rapid pace of developments in the field, this journal is nothing short of indispensable as the most complete window on the contemporary field of neurosurgery. Neurosurgery is the fastest-growing journal in the field, with a worldwide reputation for reliable coverage delivered with a fresh and dynamic outlook.