BACKGROUND AND PURPOSE: We report on the use of line scan diffusion magnetic resonance imaging in the evaluation of spinal cord infarctions. METHODS: Data on 19 patients with clinical findings consistent with spinal cord infarctions and abnormal findings on line scan diffusion imaging were reviewed. The Apparent Diffusion Coefficient (ADC) measurements for the normal spinal cord and for the areas of abnormality were calculated from trace ADC maps. RESULTS: Restricted diffusion was found in all 19 patients. Absolute ADC values in the ischemic area ranged between 395.4 and 575.8 × 10(-6) mm(2)/s, with ADC ratios ranging between 39.4% and 57.4%. CONCLUSIONS: Line scan diffusion imaging is technically feasible and appears to be a reliable method to diagnose spinal cord infarction in the acute setting.
BACKGROUND AND PURPOSE: We report on the use of line scan diffusion magnetic resonance imaging in the evaluation of spinal cord infarctions. METHODS: Data on 19 patients with clinical findings consistent with spinal cord infarctions and abnormal findings on line scan diffusion imaging were reviewed. The Apparent Diffusion Coefficient (ADC) measurements for the normal spinal cord and for the areas of abnormality were calculated from trace ADC maps. RESULTS: Restricted diffusion was found in all 19 patients. Absolute ADC values in the ischemic area ranged between 395.4 and 575.8 × 10(-6) mm(2)/s, with ADC ratios ranging between 39.4% and 57.4%. CONCLUSIONS: Line scan diffusion imaging is technically feasible and appears to be a reliable method to diagnose spinal cord infarction in the acute setting.
Authors: M I Vargas; J Gariani; R Sztajzel; I Barnaure-Nachbar; B M Delattre; K O Lovblad; J-L Dietemann Journal: AJNR Am J Neuroradiol Date: 2014-10-16 Impact factor: 3.825
Authors: Anne L Abbott; Mauro Silvestrini; Raffi Topakian; Jonathan Golledge; Alejandro M Brunser; Gert J de Borst; Robert E Harbaugh; Fergus N Doubal; Tatjana Rundek; Ankur Thapar; Alun H Davies; Anthony Kam; Joanna M Wardlaw Journal: Front Neurol Date: 2017-10-18 Impact factor: 4.003