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Published online before print August 18, 2008, 10.1148/radiol.2483071576
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(Radiology 2008;249:119-126.)
© RSNA, 2008


Experimental Studies

Calcified Vascular Plaque Specimens: Assessment with Cardiac Dual-Energy Multidetector CT in Anthropomorphically Moving Heart Phantom1

Daniel T. Boll, MD, Elmar M. Merkle, MD, Erik K. Paulson, MD, Rizvan A. Mirza, MD, and Thorsten R. Fleiter, MD

1 From the Department of Radiology, Duke University Medical Center, DUMC 3808, Durham, NC 27710 (D.T.B., E.M.M., E.K.P., R.A.M.); and Department of Radiology, University of Maryland Medical Center, Baltimore, Md (T.R.F.). Received September 5, 2007; revision requested November 13; revision received January 31, 2008; accepted February 28; final version accepted April 17. Address correspondence to D.T.B. (e-mail: daniel.boll{at}duke.edu).

Purpose: To evaluate whether dual-energy multidetector computed tomography (CT) with image postprocessing techniques enhances accuracy of calcified plaque quantification beyond the scope of single-energy multidetector CT, by using optical coherence tomography (OCT) as the reference standard.

Materials and Methods: Four atherosclerotic specimens were examined with 64-section dual-energy multidetector CT by using a novel dual-detector "double-decker" design, with stacked high- and low-energy detector arrays with 32 x 0.625-mm collimation, at 140 kVp and 400 mAs, acquiring simultaneous and isopedic low- and high-energy data sets. Additionally, combined-energy data sets were calculated, and an enhancement algorithm was proposed. Cardiac motion was simulated by an anthropomorphically moving phantom, and OCT was used as a reference standard for plaque quantification. Univariate general linear model (GLM) analysis was used to compare sizes of plaque calcifications determined with OCT with those determined with dual-energy multidetector CT, and the significance of factors such as cardiac motion was assessed.

Results: GLM analysis revealed that plaque quantification based on low-, high-, and combined-energy data sets differed significantly from that based on OCT (P < .001). Greater data variation occurred in smaller (<8 mm2) and larger (>12 mm2) calcifications. Comparison of calcified plaque sizes determined with OCT with those determined with the dual-energy multidetector CT enhancement algorithm revealed no significant difference (P = .550). Cardiac activity led to a slight increase in data variation in regard to OCT for corresponding static (mean, 10.2% ± 3.2 [standard deviation]) and dynamic (13.8% ± 4.9) dual-energy multidetector CT data sets.

Conclusion: Dual-energy multidetector CT with novel postprocessing techniques enhanced accuracy of calcified plaque quantification by reducing effects of tissue blooming and beam hardening beyond single-energy multidetector CT.

Supplemental material: http://radiology.rsnajnls.org/cgi/content/full/2483071576/DC1

© RSNA, 2008







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