Sentence examples for ct selection from inspiring English sources

Current Transformer (CT) modeling, by which CT's characteristics can be studied has a significant importance in CT selection and design.

Our study, whilst not a randomized comparison of the standard selection approach versus additional perfusion CT decision assistance, produces the strongest evidence yet available that quantitative perfusion CT selection may lead to better outcomes with intravenous rtPA than selection using clinical and non-contrast CT alone (Parsons et al., 2005).

The proposed modeling method can be utilized in CT selection and design, especially in CT design to analyze the necessary length of air gap in iron core.

Thus, our study does not provide level 1 evidence that perfusion CT selection leads to better outcomes with rtPA treatment than non-contrast CT selection.

Our data also strongly favour the concept that quantitative perfusion CT can better identify treatment responders compared to standard clinical/non-contrast CT selection and also those who have little to gain (i.e. no mismatch, or large core).

Given the marked differences in outcomes we identified between treated patients and untreated patients with quantitatively determined target mismatch, automated on-line (i.e. immediately available) quantitative volumetric criteria would appear to be the preferred option if perfusion CT selection for acute reperfusion therapy is used in clinical trials or in clinical practice.

Our data provide support for our two main hypotheses and suggest that quantitative perfusion CT-based selection within the current standard thrombolysis time window can identify patients most likely to benefit and less likely to be harmed by intravenous rtPA.

Quantitative comparisons among studies were precluded by differences in tumor staging classifications, surgical selection, CT and EUS techniques, and reporting of operating characteristics.

Cycle thresholds (CT) for a selection of differentially regulated genes were measured.

In the delta-delta Ct method, the selection of the reference gene is the most important technical point.

Theoretical predictions of the genetic progress by incorporating CT traits into selection indices suggest increases in response by 50% or even 100% when combining different measurement methods [ 6].