BACKGROUND AND PURPOSE: We tested the hypothesis that early diffusion- and perfusion-weighted MRI (DWI and PWI, respectively) allows the prediction of malignant middle cerebral artery (MCA) infarction (MMI). METHODS: Thirty-seven patients with acute MCA infarction and proximal vessel occlusion (carotid-T, MCA main stem) were studied by DWI, PWI, and MR angiography within 6 hours of symptom onset. Eleven patients developed MMI, defined by decline of consciousness and radiological signs of space-occupying brain edema. Lesion volumes were retrospectively defined as apparent diffusion coefficient <80% (ADC<80%) and time to peak >+4 seconds (TTP>+4s) compared with the unaffected hemisphere. ADC decrease within the infarct core (ADCcore) and relative ADC within the ADC<80% lesion (rADClesion) were measured. Neurological deficit at admission was assessed with the National Institutes of Health Stroke Scale (NIHSS). RESULTS: Patients with MMI showed larger ADC<80% (median, 157 versus 22 mL; P<0.001) and TTP>+4s (208 versus 125 mL; P<0.001) lesion volumes, smaller TTP/ADC mismatch ratio (1.5 versus 5.5; P<0.001), lower ADCcore values (290 versus 411 mm2/s; P<0.001), lower rADClesion (0.60 versus 0.66; P=0.001), higher frequency of carotid-T occlusion (64% versus 15%; P=0.006), and higher NIHSS score at admission (20 versus 15; P=0.001). Predictors of MMI were as follows for sensitivity and specificity, respectively: ADC<80% >82 mL, 87%, 91%; TTP>+4s >162 mL, 83%, 75%; TTP/ADC mismatch ratio <2.4, 80%, 79%; ADCcore <300 mm2/s, 83%, 85%; rADClesion <0.62, 79%, 74%; and NIHSS score at admission > or =19, 96%, 72%. CONCLUSIONS: Quantitative analysis of early DWI and PWI parameters allows the prediction of MMI and can help in the selection of patients for aggressive tissue-protective therapy.
BACKGROUND AND PURPOSE: We tested the hypothesis that early diffusion- and perfusion-weighted MRI (DWI and PWI, respectively) allows the prediction of malignant middle cerebral artery (MCA) infarction (MMI). METHODS: Thirty-seven patients with acute MCA infarction and proximal vessel occlusion (carotid-T, MCA main stem) were studied by DWI, PWI, and MR angiography within 6 hours of symptom onset. Eleven patients developed MMI, defined by decline of consciousness and radiological signs of space-occupying brain edema. Lesion volumes were retrospectively defined as apparent diffusion coefficient <80% (ADC<80%) and time to peak >+4 seconds (TTP>+4s) compared with the unaffected hemisphere. ADC decrease within the infarct core (ADCcore) and relative ADC within the ADC<80% lesion (rADClesion) were measured. Neurological deficit at admission was assessed with the National Institutes of Health Stroke Scale (NIHSS). RESULTS:Patients with MMI showed larger ADC<80% (median, 157 versus 22 mL; P<0.001) and TTP>+4s (208 versus 125 mL; P<0.001) lesion volumes, smaller TTP/ADC mismatch ratio (1.5 versus 5.5; P<0.001), lower ADCcore values (290 versus 411 mm2/s; P<0.001), lower rADClesion (0.60 versus 0.66; P=0.001), higher frequency of carotid-T occlusion (64% versus 15%; P=0.006), and higher NIHSS score at admission (20 versus 15; P=0.001). Predictors of MMI were as follows for sensitivity and specificity, respectively: ADC<80% >82 mL, 87%, 91%; TTP>+4s >162 mL, 83%, 75%; TTP/ADC mismatch ratio <2.4, 80%, 79%; ADCcore <300 mm2/s, 83%, 85%; rADClesion <0.62, 79%, 74%; and NIHSS score at admission > or =19, 96%, 72%. CONCLUSIONS: Quantitative analysis of early DWI and PWI parameters allows the prediction of MMI and can help in the selection of patients for aggressive tissue-protective therapy.
Authors: Christoph Beck; Anna Kruetzelmann; Nils D Forkert; Eric Juettler; Oliver C Singer; Martin Köhrmann; Jan F Kersten; Jan Sobesky; Christian Gerloff; Jens Fiehler; Peter D Schellinger; Joachim Röther; Götz Thomalla Journal: J Neurol Date: 2014-04-01 Impact factor: 4.849
Authors: M Cohnen; H-J Wittsack; S Assadi; K Muskalla; A Ringelstein; L W Poll; A Saleh; U Mödder Journal: AJNR Am J Neuroradiol Date: 2006-09 Impact factor: 3.825
Authors: Brian P Walcott; Jennifer C Miller; Churl-Su Kwon; Sameer A Sheth; Marc Hiller; Carolyn A Cronin; Lee H Schwamm; J Marc Simard; Kristopher T Kahle; W Taylor Kimberly; Kevin N Sheth Journal: Neurocrit Care Date: 2014-08 Impact factor: 3.210