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The relative effect of vendor variability in CT perfusion results: a method comparison study
Benjamin M Zussman1, Garen Boghosian, Richard J Gorniak
1Department of Radiology, Thomas Jefferson University Hospital, Ste 1080B, Main Bldg, 132 S Tenth St, Philadelphia, PA 19107-5244, USA.
AJR. American Journal of Roentgenology
|July 26, 2011
Summary
Vendor software significantly impacts CT perfusion variability, more than operator differences. Quantitative perfusion results vary widely based on the postprocessing software used.
Area of Science:
- Radiology
- Medical Imaging
- Neurology
Background:
- Quantitative CT perfusion values are known to be affected by interoperator, intraoperator, and intervendor software differences.
- These variations can influence the reproducibility of diagnostic imaging results.
Purpose of the Study:
- To determine the relative impact of operator and software differences on CT perfusion variability.
- To compare the variability introduced by different software vendors versus different operators.
Main Methods:
- CT perfusion imaging data from 11 patients with suspected ischemic stroke were analyzed.
- Three radiologists independently postprocessed the data twice using four different vendor software applications.
- Cerebral blood volume (CBV), cerebral blood flow (CBF), and mean transit time (MTT) were recorded and analyzed using multivariate analysis of variance and Bland-Altman analysis.
Main Results:
- Vendor software choice was significantly associated with variability in CBV, CBF, and MTT (p < 0.001).
- Interoperator and intraoperator differences did not show significant variability.
- Mean differences in CT perfusion values were greater between vendors than between operators.
Conclusions:
- Different vendor software applications produce non-equivalent quantitative CT perfusion results.
- Intervendor differences are the primary source of variability in perfusion results compared to operator differences.
- Caution is advised when interpreting quantitative CT perfusion values due to potential software-induced variations.

