Key result
The automated method for arterial input function detection produced time-signal intensity curves strongly correlated with manual measurements (median correlation coefficient 0.999) and required less processing time.
Why the study?
Does an automated method for arterial input function detection produce similar results to manual measurement while reducing processing time in first-pass myocardial perfusion CMR?
Population
270 clinical studies of gadolinium-enhanced perfusion CMR performed on a 1.5 T scanner using a saturation…
Comparison
Automated image processing method for measuring… vs Manual reference measurements of AIF.
Design
Other
Authors
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May streamline CMR workflows; hypothesis-generating pending prospective validation.
Observational (n=270)
Does an automated method for arterial input function detection produce similar results to manual measurement while reducing processing time in first-pass myocardial perfusion CMR?
Effect estimate: median correlation coefficient 0.999 (95% CI 0.999-0.999)
An automated method for arterial input function detection in first-pass perfusion CMR produces results highly correlated with manual methods while reducing processing time and improving objectivity.
Jacobs et al. (2016) conducted an observational in Patients undergoing first-pass perfusion cardiovascular magnetic resonance (n=270). Automated method for arterial input function (AIF) detection vs. Manual reference measurements was evaluated on Correlation between manual and automatic AIF time-signal intensity curves (median correlation coefficient 0.999, 95% CI 0.999-0.999). The automated method for arterial input function detection produced time-signal intensity curves strongly correlated with manual measurements (median correlation coefficient 0.999) and required less processing time.
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