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B J Dardzinski

Publications and source records attributed to B J Dardzinski.

21 records · Page 2Linked to original sources

MRI diffusion mapping of reversible and irreversible ischemic injury in focal brain ischemia.

The reduction of the apparent diffusion coefficient (ADC) of water shortly after a focal ischemic insult is thought to reflect intracellular water accumulation (cytotoxic edema) related to high-energy metabolism failure and loss of ion homeostasis. We attempted to clarify whether varying ranges of ADC measurements in ischemic brain tissue can be used to differentiate between reversible and irreversible ischemic lesions before reperfusion in a temporary ischemia model. We induced 45 minutes of temporary ischemia in 12 rats using the middle cerebral artery suture occlusion method. Regional changes of ADC values were serially measured in seven regions of interest in each hemisphere and evaluated by delta ADC, defined as the difference between ADC value in an ischemic region and that in a contralateral homologous region. We acquired dynamic contrast-enhanced perfusion images 2 minutes before and after reperfusion to document reduced perfusion and its restoration. We confirmed the infarct area by 2,3,5-triphenyltetrazolium chloride staining 24 hours after occlusion and correlated this with the MRI studies. Recovery of initially reduced ADC values occurred only in ischemic regions where delta ADC values were not below -0.25 x 10(-5) cm2/sec. Although the extent of infarction at postmortem examination varied in regions with moderately decreased prereperfusion ADC values, more than 70% of regions of interest with slight declines of prereperfusion ADC values exhibited no infarction. ADC values progressively decreased after reperfusion in regions that initially had severely decreased prereperfusion ADC values, and postmortem examination always demonstrated infarction in such regions.(ABSTRACT TRUNCATED AT 250 WORDS)

Analysis of Variance↗

Apparent diffusion coefficient mapping of experimental focal cerebral ischemia using diffusion-weighted echo-planar imaging.

Diffusion-weighted, echo-planar imaging (EPI) was used to map regional changes in the apparent diffusion coefficient (ADC) during experimental focal ischemia in the rat brain following permanent middle cerebral arterial occlusion (MCAO). Sixteen 64 x 64 diffusion-weighted EPIs were acquired in 32 s with successively increasing amplitudes of the diffusion-sensitive gradient pulses. A linear least-squares regression algorithm was used to fit 15 of the 16 two-dimensional matrices, on a pixel-by-pixel basis, to solve for the slope from which the ADC value was calculated. The correlation coefficient of the fit, R2, was used to filter the final ADC maps, and the ADCs were then scaled appropriately to be displayed in a 256 gray level format. Ranges (bins) of 0.05 x 10(-3) mm2/s were then grouped and color coded to qualify and quantify the evolution of ischemia in the MCA territory. The percentage of area in the ischemic and contralateral hemispheres in seven ADC bins were calculated at 30, 60, and 120 min after MCAO for 10 animals and demonstrated a significant increase in ADC bins below 0.45 x 10(-3) mm2/s and a decrease in bins above 0.50 x 10(-3) mm2/s over time. The postmortem infarct area, as measured by TTC staining, was highly correlated with the portion of the ischemic hemisphere falling below ADC values of 0.55 x 10(-3) mm2/s at 2 h after stroke onset. These studies suggest that focally ischemic brain tissue can be quantitatively subdivided according to ADC values and that ADC values below 0.55 x 10(-3) mm2/s 2 h following ischemia highly predict infarction in a rat permanent occlusion stroke model.

Algorithms↗

The application of porous-media theory to the investigation of time-dependent diffusion in in vivo systems.

Recent developments in solid-boundary porous-media theory have shown that useful structural information can be extracted from the time-dependent diffusion coefficient, D(t), of the fluid filling the interstitial space. This theoretical framework provides a basis from which to understand the results from diffusion experiments performed in other types of systems (e.g. biological). Structural information about porous media can be obtained from the short-time behavior of D(t) in the form of the ratio of the surface area to pore volume, S/V. The long-time behavior of D(t) in porous media provides an indirect measure of the macroscopic structure. In this case, the long-time diffusion coefficient, D(eff), reflects the tortuosity, T, of the medium; a property of both the connectivity of the diffusion paths and the volume fraction of the sample. Measurements of D(t) were performed in RIF-1 tumors, using both spectroscopy and imaging, and the data were used to calculate S/V and T. The results were compared with histological sections in order to correlate S/V and T with differences in tissue structure (i.e. necrotic vs non-necrotic tumor tissue). Based on spectroscopic measurements, there is a trend towards decreasing S/V and T with increasing tumor volume, consistent with the interpretation that water in necrotic tissue is experiencing relatively fewer restricting barriers (as compared to non-necrotic tumor tissue). Based on D(t) maps generated from RIF-1 tumors, D(eff), and hence T appears to be much more sensitive than S/V in differentiating between necrotic and non-necrotic tissue. In addition to characterizing diseased tissue, S/V and particularly T appear to be sensitive to structural changes that would accompany tumor treatment and should therefore provide a useful tool for monitoring the progress of therapeutic interventions.

Animals↗