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Neurology ; 72(24): 2104-10, 2009 Jun 16.
Article in English | MEDLINE | ID: mdl-19528517

ABSTRACT

BACKGROUND: Rapid and easy clinical assessments for volumes of infarction and perfusion mismatch are needed. We tested whether simple geometric models generated accurate estimates of these volumes. METHODS: Acute diffusion-weighted image (DWI) and perfusion (mean transit time [MTT]) in 63 strokes and established infarct volumes in 50 subacute strokes were measured by computerized planimetry. Mismatch was defined as MTT/DWI > or = 1.2. Observers, blinded to planimetric values, measured lesions in three perpendicular axes A, B, and C. Geometric estimates of sphere, ellipsoid, bicone, and cylinder were compared to planimetric volume by least-squares linear regression. RESULTS: The ABC/2 formula (ellipsoid) was superior to other geometries for estimating volume of DWI (slope 1.16, 95% confidence interval [CI] 0.94 to 1.38; R(2) = 0.91, p = 0.001) and MTT (slope 1.11, 95% CI 0.99 to 1.23; R(2) = 0.89, p = 0.001). The intrarater and interrater reliability for ABC/2 was high for both DWI (0.992 and 0.965) and MTT (0.881 and 0.712). For subacute infarct, the ABC/2 formula also best estimated planimetric volume (slope 1.00, 95% CI 0.98 to 1.19; R(2) = 0.74, p = 0.001). In general, sphere and cylinder geometries overestimated all volumes and bicone underestimated all volumes. The positive predictive value for mismatch was 92% and negative predictive value was 33%. CONCLUSIONS: Of the models tested, ABC/2 is reproducible, is accurate, and provides the best simple geometric estimate of infarction and mean transit time volumes. ABC/2 has a high positive predictive value for identifying mismatch greater than 20% and might be a useful tool for rapid determination of acute stroke treatment.


Subject(s)
Brain Infarction/pathology , Brain Infarction/physiopathology , Diffusion Magnetic Resonance Imaging/methods , Image Processing, Computer-Assisted/methods , Adult , Aged , Aged, 80 and over , Brain/blood supply , Brain/pathology , Brain/physiopathology , Cerebral Arteries/physiopathology , Cerebral Hemorrhage/etiology , Cerebral Hemorrhage/pathology , Cerebral Hemorrhage/physiopathology , Cerebrovascular Circulation/physiology , Computer Simulation , Diagnosis, Differential , Female , Humans , Male , Middle Aged , Nerve Fibers, Myelinated/pathology , Predictive Value of Tests , Retrospective Studies , Severity of Illness Index , Time Factors
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