HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text All Versions of this Article: 2292021016v1 229/2/375    most recent Submit a response Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Hoffmann, U. Articles by Brady, T. J. Search for Related Content PubMed PubMed Citation Articles by Hoffmann, U. Articles by Brady, T. J.

Vascular Calcification in ex Vivo Carotid Specimens: Precision and Accuracy of Measurements with Multi–Detector Row CT¹

¹ From the Departments of Radiology (U.H., D.C.K., J.H., R.C., T.J.B.) and Vascular Surgery (G.L.), Massachusetts General Hospital and Harvard Medical School, 100 Charles River Plaza, Suite 400, Boston, MA 02114. Received August 21, 2002; revision requested October 24; final revision received March 26, 2003; accepted April 14. Funded in part by the Center for the Integration of Medicine and Innovative Technology (CIMIT), Boston, Mass, and the New York Cardiac Center. Address correspondence to U.H. (e-mail: uhoffman@partners.org).

PURPOSE: To test the accuracy and precision of multi–detector row computed tomography (CT)–derived measurements of vascular calcification in ex vivo human carotid endarterectomy (CEA) specimens.

MATERIALS AND METHODS: Sixteen ex vivo CEA specimens were imaged with multi–detector row CT. Multi–detector row CT–derived calcium scoring algorithms (ie, mineral mass and volume score) were compared with the mass and volume of ashed remnants of the CEA specimens. Bland-Altman analysis was performed to assess the mean (ie, bias) and SD (ie, precision) of differences between multi–detector row CT– and ashing-derived measurements. In addition, conventional Agatston score, volume score, mineral mass, and modified Agatston score were calculated for each specimen by using a number of scanning protocols. Images were obtained at a section thickness of 1.25 mm by using different tube energy settings and tube currents. Specimens were also imaged at different section thicknesses with fixed combinations of tube energy and tube current. To compare measurement variability of scoring methods, coefficients of variation for all protocols were calculated.

RESULTS: Both mean multi–detector row CT–derived mineral mass and mean ashing-derived mineral mass were 0.129 g ± 0.173 (r = 0.99, P < .001). Mean multi–detector row CT– and ashing-derived volumes were 339.94 mm³ ± 395.4 and 39.48 mm³ ± 55.76, respectively (r = 0.95, P < .001). Measurement bias relative to the reference ashing values was high (2,800.0%) for volume score and low (2.58%) for mineral mass. Measurement precision was 0.6% for volume score and greater than 0.0005% for mineral mass. Mean coefficients of variation for all CT protocols were 5.0% ± 4.2 and 4.9% ± 4.2 for mineral mass and modified Agatston score, respectively, and 16.0% ± 9.2 and 14.5% ± 3.9 for conventional Agatston and volume scores, respectively (P < .001).

CONCLUSION: Compared with the conventional volume score, multi–detector row CT–derived mineral mass is a less biased and more precise measurement of the mineral content of nonmoving ex vivo CEA specimens. Mineral mass and modified Agatston score are more reproducible than conventional volume and Agatston scores.

© RSNA, 2003

Index terms: Arteries, calcification, 904.721 • Carotid arteries, CT, 904.12911 • Carotid arteries, stenosis or obstruction, 904.721 • Computed tomography (CT), multi– detector row, 904.12911

This article has been cited by other articles:

				R. Raman, B. Raman, S. Napel, and G. D. Rubin Semiautomated Quantification of the Mass and Distribution of Vascular Calcification with Multidetector CT: Method and Evaluation Radiology, April 1, 2008; 247(1): 241 - 250. [Abstract] [Full Text] [PDF]

				D. A. Towler Calciotropic Hormones and Arterial Physiology: "D"-lightful Insights J. Am. Soc. Nephrol., February 1, 2007; 18(2): 369 - 373. [Full Text] [PDF]

				N.F. Fanning, T.D. Walters, A.J. Fox, and S.P. Symons Association between Calcification of the Cervical Carotid Artery Bifurcation and White Matter Ischemia. AJNR Am. J. Neuroradiol., February 1, 2006; 27(2): 378 - 383. [Abstract] [Full Text] [PDF]

				R. L. Wolf, S. L. Wehrli, A. M. Popescu, J. H. Woo, H. K. Song, A. C. Wright, E. R. Mohler III, J. D. Harding, E. L. Zager, R. M. Fairman, et al. Mineral Volume and Morphology in Carotid Plaque Specimens Using High-Resolution MRI and CT Arterioscler. Thromb. Vasc. Biol., August 1, 2005; 25(8): 1729 - 1735. [Abstract] [Full Text] [PDF]

				F. Moselewski, C. J. O'Donnell, S. Achenbach, M. Ferencik, J. Massaro, A. Nguyen, R. C. Cury, S. Abbara, I.-K. Jang, T. J. Brady, et al. Calcium Concentration of Individual Coronary Calcified Plaques as Measured by Multidetector Row Computed Tomography Circulation, June 21, 2005; 111(24): 3236 - 3241. [Abstract] [Full Text] [PDF]