Computer-assisted volumetric measurement of core infarct volume in pediatric patients: feasibility for clinical use and development of quantitative metrics for outcome prediction
Publication Date
2015
Journal Title
AJNR Am J Neuroradiol
Abstract
BACKGROUND AND PURPOSE: Infarct volume may predict clinical outcome in acute stroke, but manual segmentation techniques limit its routine use. We hypothesized that computer-assisted volumetric analysis to quantify acute infarct volume will show no difference compared with manual segmentation but will show increased speed of performance and will correlate with outcome. MATERIALS AND METHODS: Patients with acute stroke younger than 18 years were included. Infarct volume on diffusion-weighted imaging was quantified by using computer-assisted volumetric and manual techniques. The Pediatric Stroke Outcome Measure scored clinical outcome. Computer-assisted volumetric and manual techniques were compared with correlation coefficients. Linear regression analysis compared Pediatric Stroke Outcome Measure with core infarct volume and percentage volume of brain infarction. RESULTS: Twenty-three patients were analyzed (mean age, 4.6 years). Mean infarct volume from computer-assisted volumetric and manual approaches was 65.6 and 63.7 mL, respectively (P = .56). Concordance correlation between methods was 0.980, and between users, 0.968. The mean times for segmentation between computer-assisted volumetric and manual techniques were(P < .001). The mean infarct volumes for good and poor outcome groups were 7.4 and 75.7 mL (P < .007). The mean percentages of infarcted brain parenchyma for good and poor outcome groups were 0.6% and 10.4% (P < .006). Volumes of 32 mL and 3% for infarcted brain were associated with poor outcome in all patients. CONCLUSIONS: Computer-assisted volumetric quantification of infarct volume is reproducible, is significantly faster than manual techniques, and may have important applications for future clinical workflow. Core infarct volumes and infarct percentage correlated with outcome severity.
Volume Number
36
Issue Number
4
Pages
789-94
Document Type
Article
EPub Date
2014/12/06
Status
Faculty
Facility
School of Medicine
Primary Department
Radiology
PMID
DOI
10.3174/ajnr.A4183