Stroke · 2019 · 67 citations · 11 references
MedicineNeurologyRadiologyDiagnostic ImagingDiagnostic RadiologyNeuroradiologyAcute Ischemic StrokeBrain ImagingCerebrovascular DiseaseNeurologic PrognosticationNeurological AssessmentStrokeEarly Neurologic DeteriorationInfarct Size AssessmentInfarct Size QuantificationInfarct Volume QuantificationIschemic Stroke PrognosticationLogistic RegressionNeurologic Deterioration DetectionNeurological Deterioration
Background and Purpose- The relationship between infarct dimensions and neurological progression in patients with acute pontine infarctions remains unclear. This study aimed to investigate the morphometric predictive value of magnetic resonance imaging for early neurological deterioration (END) in acute pontine infarction. Methods- We included all patients admitted to our department having an acute ischemic stroke in the pons. The ventrodorsal length multiplied by thickness was measured as parameters of infarct size. END was defined as an incremental increase in the National Institutes of Health Stroke Scale score by ≥1 point in motor power, or ≥2 points in the total score within the first week after admission. Results- We enrolled 407 patients, and 114 (28.0%) patients were diagnosed with END. Adjusted logistic regression analyses showed the maximum length multiplied by thickness was independently associated with END (odds ratio, 4.580 [95% CI, 2.909-7.210]). The sensitivity, specificity, and area under the curve were 77.2%, 79.2%, and 0.843, respectively, in the receiver operating characteristic curve analysis of maximum length multiplied by thickness for predicting END. Conclusions- These results suggest that the maximum length multiplied by thickness may be a possible predictor in the evaluation of progression with isolated acute pontine infarction. The extent of the pontine infarction along the conduction tract may contribute to deterioration.
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Homocysteine as a Predictor of Early Neurological Deterioration in Acute Ischemic Stroke
Hyung‐Min Kwon, Yong Seok Lee, Hee‐Joon Bae et al. · Stroke · 2014 · 180 citations · Full text
Life Sciences, Neurology, Aging +14
Satoshi Kataoka, Ariyuki Hori, Tomoyasu Shirakawa et al. · Stroke · 1997 · 139 citations
Syndromes of Pontine Base Infarction
Jong S. Kim, Jay H. Lee, Joo Hyuk Im et al. · Stroke · 1995 · 110 citations
Medicine, Neurology, Neurosurgery +12