|
|
||||||||
American Journal of Roentgenology, Vol 173, 449-455, Copyright © 1999 by American Roentgen Ray Society
ARTICLES |
BS Kuszyk, DG Heath, PT Johnson, J Eng and EK Fishman
Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
OBJECTIVE: The purpose of this study was to evaluate the accuracy of CT angiography with volume rendering for quantifying vascular stenoses in vitro. MATERIALS AND METHODS: Vascular models with three degrees of stenosis (33%, 67%, and 83%) were imaged at three orientations to the axial plane (parallel, perpendicular, or 45 degrees ) using helical CT with 2-mm collimation and two pitches (1 or 2), two reconstruction intervals (1 or 2 mm), and two scan times (.75 or 1 sec). Diameter and percentage of stenosis were measured from volume renderings using full width at half maximum. Images were measured in two planes whenever resolution varied with direction. Statistical analysis was performed using analysis of variance. RESULTS: Mean absolute error of the measured percentage of stenosis was 7% (range, 0-27%). The actual percentage of stenosis and vessel orientation had the most significant effects on accuracy (p < .001). The measured percentage of stenosis was significantly less accurate with phantoms parallel to the axial plane than with other orientations (p < .001). Mean absolute error in the measured percentage of stenosis was 4% when the parallel-to-the-axial- plane orientation was excluded. Overlapping (1-mm) reconstructions were significantly more accurate than 2-mm reconstructions (p < .05) and direction of measurement significantly affected accuracy (p < .05), but these effects were secondary. CONCLUSION: CT angiography with volume rendering can accurately quantify vascular stenoses, but it is less accurate for vessels in the axial plane. With 2-mm collimation, vessel characteristics have greater effects on accuracy than do acquisition parameters.
This article has been cited by other articles:
![]() |
S ISHIGAKI, S ITOH, K SUZUKI, H SATAKE, T OTA, M IKEDA, and T ISHIGAKI Three-dimensional CT angiography of the pancreatic artery in 16-channel multislice CT: value of scanning with submillimetre collimation Br. J. Radiol., February 1, 2008; 81(962): 99 - 106. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Peloschek, J. Sailer, M. Weber, C. J. Herold, M. Prokop, and C. Schaefer-Prokop Pulmonary Nodules: Sensitivity of Maximum Intensity Projection versus That of Volume Rendering of 3D Multidetector CT Data Radiology, May 1, 2007; 243(2): 561 - 569. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. P. Villablanca, F. J. Rodriguez, T. Stockman, S. Dahliwal, M. Omura, S. Hazany, and J. Sayre MDCT Angiography for Detection and Quantification of Small Intracranial Arteries: Comparison with Conventional Catheter Angiography Am. J. Roentgenol., February 1, 2007; 188(2): 593 - 602. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. K. Fishman, D. R. Ney, D. G. Heath, F. M. Corl, K. M. Horton, and P. T. Johnson Volume rendering versus maximum intensity projection in CT angiography: what works best, when, and why. RadioGraphics, May 1, 2006; 26(3): 905 - 922. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Suzuki, S. Furui, and T. Kaminaga Accuracy of Automated CT Angiography Measurement of Vascular Diameter in Phantoms: Effect of Size of Display Field of View, Density of Contrast Medium, and Wall Thickness Am. J. Roentgenol., June 1, 2005; 184(6): 1940 - 1944. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Bash, J. P. Villablanca, R. Jahan, G. Duckwiler, M. Tillis, C. Kidwell, J. Saver, and J. Sayre Intracranial Vascular Stenosis and Occlusive Disease: Evaluation with CT Angiography, MR Angiography, and Digital Subtraction Angiography AJNR Am. J. Neuroradiol., May 1, 2005; 26(5): 1012 - 1021. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Suzuki, S. Furui, T. Kaminaga, and T. Yamauchi Measurement of Vascular Diameter In Vitro by Automated Software for CT Angiography: Effects of Inner Diameter, Density of Contrast Medium, and Convolution Kernel Am. J. Roentgenol., May 1, 2004; 182(5): 1313 - 1317. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Y. Lee, M. J. Siegel, C. F. Hildebolt, F. R. Gutierrez, S. Bhalla, and J. H. Fallah MDCT Evaluation of Thoracic Aortic Anomalies in Pediatric Patients and Young Adults: Comparison of Axial, Multiplanar, and 3D Images Am. J. Roentgenol., March 1, 2004; 182(3): 777 - 784. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Sheth and E. K. Fishman Multi-Detector Row CT of the Kidneys and Urinary Tract: Techniques and Applications in the Diagnosis of Benign Diseases RadioGraphics, March 1, 2004; 24(2): e20 - e20. [Abstract] [Full Text] |
||||
![]() |
A. Mallouhi, M. Rieger, B. Czermak, M. C. Freund, P. Waldenberger, and W. R. Jaschke Volume-Rendered Multidetector CT Angiography: Noninvasive Follow-Up of Patients Treated with Renal Artery Stents Am. J. Roentgenol., January 1, 2003; 180(1): 233 - 239. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. D. Cody AAPM/RSNA Physics Tutorial for Residents: Topics in CT: Image Processing in CT RadioGraphics, September 1, 2002; 22(5): 1255 - 1268. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. P. Villablanca, R. Jahan, P. Hooshi, S. Lim, G. Duckwiler, A. Patel, J. Sayre, N. Martin, J. Frazee, J. Bentson, et al. Detection and Characterization of Very Small Cerebral Aneurysms by Using 2D and 3D Helical CT Angiography AJNR Am. J. Neuroradiol., August 1, 2002; 23(7): 1187 - 1198. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. A. Bluemke, A. E. Stillman, K. G. Bis, T. M. Grist, R. A. Baum, R. DAgostino, E. S. Malden, J. A. Pierro, and E. K. Yucel Carotid MR Angiography: Phase II Study of Safety and Efficacy for MS-325 Radiology, April 1, 2001; 219(1): 114 - 122. [Abstract] [Full Text] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |