[Quantification of volume of tissue damage in stroke using T2- weighed MRI images]

We have developed a quantitative technique for scoring of the severity of ischemic damage of the brain using quantitative data of the T2-weighted MRI images of brain in stroke. The principle of the method is the assumption that T2 signal increases proportionally to the severity of ischemic damage of cerebral tissue up to the level equal to intraventricular liquor signal in the case of postinfarction cystic degeneration. Depicting the mean T2-signal from the intraventricular liquor region as Iliq, the signal from ischemic brain area as Iinsult, and from the intact brain as Inorm, obviously, the volume quota of damaged tissue in the total volume of the stroke region is represented by the ratio (Iinsult - Inorm)/(Iliq - Inorm). The total volume of damaged tissue (VDT, cub.cm) in the stroke region is then the following sum taken over all slices i, where the stroke damage can be: VDT = sigma i d.Si.[(Iinsult - Inorm)/(Iliq - Inorm)]i, where d is the slice thickness, Si--area of the ischemic region in the slice i. The quota of damaged tissue in the physical volume of the stroke region is henceforth the following ratio: Q = [sigma i d.Si.[(Iinsult - Inorm)/(Iliq - Inorm)]i]/[sigma i d.Si]. The technique was applied in retrospective analysis of routine MRI studies in 15 patients referred because of acute ischemic stroke. The studies were performed using low-field MRI tomograph Magnetom-Open (Siemens Medical) with field strength 0.22 T. In patients studied during the first day after occurrence of ischemic insult with the minimal degree of acute neurologic deficit, who later have demonstrated clinically full recovery, the VDT was below 20 cm3, and Q was below 10%. In cases with VDT > 25 cm3 and Q > 20% the full regress was not observed in any patient. Henceforth, the quantification of cerebral damage in stroke using quantitative indices based on measurement of T2-parameters over ischemic and intact zones of the brain are of independent prognostic clinical value and improve clinical usefulness of the MRI in ischemic brain stroke.