Imaging Algorithm Reduces Cumulative Radiation Exposure from CT Scans

A large academic medical center has implemented an imaging algorithm that allows radiologists to reduce effectively the cumulative radiation exposure and the number of computed tomography (CT) angiography (CTA) and CT perfusion studies performed on patients with aneurysmal subarachnoid hemorrhages according to new findings.

The algorithm acts as a guide to physicians regarding the most appropriate time points at which to detect vasospasm (a condition in which blood vessels spasm, leading to vasoconstriction) with CTA and CT perfusion imaging.

The study, performed at the New York Presbyterian Hospital--Weill Cornell Medical Center (New York, NY, USA), included 60 patients with aneurysmal subarachnoid hemorrhages: 30 in the baseline group (before implementation of the imaging algorithm) and 30 patients in the postalgorithm group.

"With the new algorithm, the mean number of CT examinations per patient was 5.8 compared with 7.8 at baseline, representing a decrease of 25.6%,” said Michael L. Loftus, M.D., lead author of the study. "The number of CT perfusion examinations per patient decreased 32.1%. Overall, there was a 12.1% decrease in cumulative radiation exposure. Our results are promising, showing that guidelines for utilization of CT can lead to reduced radiation exposure of individual patients and the population. Our overall goal is to apply to other patient populations this concept of imaging algorithms as utilization guidelines for CT. Application of these methods to other patient populations with the high use of CT may reduce cumulative radiation exposure while the clinical benefits of imaging are maintained.”

The study's findings were published in the July 2010 issue of the American Journal of Roentgenology (AJR).

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New York Presbyterian Hospital--Weill Cornell Medical Center