Reproducible coronary plaque quantification by multislice computed tomography
Background: The aim of this study was to investigate reproducibility end accuracy of computer-assisted coronary plaque measurements by multislice computed tomography coronary angiography (QMSCT-CA). Methods and Results: Forty-sight patients undergoing MSCT-CA end coronary arteriography for symptomatic coronary artery disease and quantitative intravascular ultrasound (IVUS, QCU) were examined. Two investigators performed the QMSCT-CA twice end e third investigator performed the QCU, all blinded for each other's results. There was no difference found for the matched region of interest (ROI) lengths (QCU 29.4 ± 13 mm vs. QMSCT-CA 29.6 ± 13 mm, P = 0.6; total length = 1,400 mm). The comparison of volumetric measurements showed (lumen QCU 267 ± 139 mm3vs. mean QMSCT-CA 177 ± 91 mm3, P < 0.001; vessel 454 ± 194 mm3vs. 398 ± 187 mm3, P < 0.001; and plaque 189 ± 93 mm3vs. 222 ± 121 mm3; investigator 1, P = 0.02; and investigator 2, P = 0.07) significant differences. Automated lumen detection was also applied for QMSCT-CA (218 ± 112 mm3, P < 0.001 vs. QCU). The Interinvestigator variability measurements for QMSCT-CA showed no significant differences. Conclusion: QMSCT-CA systematically underestimates absolute coronary lumen- and vessel dimensions when compared with QCU. However, repeated measurements of coronary plaque by QMSCT-CA showed no statistically significant differences, although, the outcome showed a scattered result. Automated lumen detection for QMSCT-CA showed improved results when compered with those of human investigators.
|Keywords||Coronary artery disease, Image processing, Intravascular ultrasound, Multislice computed tomography|
|Persistent URL||dx.doi.org/10.1002/ccd.21067, hdl.handle.net/1765/37022|
Bruining, N., Roelandt, J.R.T.C., Palumbo, A., la Grutta, L., Cademartiri, F., de Feijter, P.J., … Hamers, R.. (2007). Reproducible coronary plaque quantification by multislice computed tomography. Catheterization and Cardiovascular Interventions, 69(6), 857–865. doi:10.1002/ccd.21067