OBJECTIVE: Noncontrast electron beam CT (EBCT) and MDCT are established for the assessment of calcified plaque, but not lipid-rich plaque. We developed software to identify lipid-rich plaque with noncontrast electron beam tomography (EBT) and MDCT. MATERIALS AND METHODS: A computer algorithm was developed to automatically find contiguous lipid-rich lesions with voxel intensities below a calculated patient-specific lipid threshold. Lipid density and lipid inhomogeneity in Hounsfield units were calculated in the proximal left coronaries of three populations: 34 low-risk patients (low-risk group < 6% Framingham risk score, no calcium), 31 high-risk patients (high-risk group > 20% Framingham risk score, no calcium), and 37 patients with calcified plaque (calcium group). RESULTS: The mean lipid density was -19.6 +/- 3.0 (SD) H in the low-risk group, -25.3 +/- 8.2 H in the high-risk group, and -34.3 +/- 13.0 H in the calcium group (p < 0.05). The mean lipid inhomogeneity was 17.7 +/- 3.6 H in the low-risk group, 21.5 +/- 5.5 H in the high-risk group, and 29.0 +/- 7.6 H in the calcium group (p < 0.05). The mean interscan variability in lipid density and lipid inhomogeneity were 2.0 +/- 3.3 H and 2.1 +/- 3.6 H, respectively. In five patients, the locations of lipid-rich plaque correlated well with available intravascular sonography findings. CONCLUSION: Our method may be able to identify lipid-rich plaque on noncontrast cardiac CT.
OBJECTIVE: Noncontrast electron beam CT (EBCT) and MDCT are established for the assessment of calcified plaque, but not lipid-rich plaque. We developed software to identify lipid-rich plaque with noncontrast electron beam tomography (EBT) and MDCT. MATERIALS AND METHODS: A computer algorithm was developed to automatically find contiguous lipid-rich lesions with voxel intensities below a calculated patient-specific lipid threshold. Lipid density and lipid inhomogeneity in Hounsfield units were calculated in the proximal left coronaries of three populations: 34 low-risk patients (low-risk group < 6% Framingham risk score, no calcium), 31 high-risk patients (high-risk group > 20% Framingham risk score, no calcium), and 37 patients with calcified plaque (calcium group). RESULTS: The mean lipid density was -19.6 +/- 3.0 (SD) H in the low-risk group, -25.3 +/- 8.2 H in the high-risk group, and -34.3 +/- 13.0 H in the calcium group (p < 0.05). The mean lipid inhomogeneity was 17.7 +/- 3.6 H in the low-risk group, 21.5 +/- 5.5 H in the high-risk group, and 29.0 +/- 7.6 H in the calcium group (p < 0.05). The mean interscan variability in lipid density and lipid inhomogeneity were 2.0 +/- 3.3 H and 2.1 +/- 3.6 H, respectively. In five patients, the locations of lipid-rich plaque correlated well with available intravascular sonography findings. CONCLUSION: Our method may be able to identify lipid-rich plaque on noncontrast cardiac CT.
Authors: Oliver Klass; Susanne Kleinhans; Matthew J Walker; Mark Olszewski; Sebastian Feuerlein; Markus Juchems; Martin H K Hoffmann Journal: Int J Cardiovasc Imaging Date: 2010-03-26 Impact factor: 2.357
Authors: Christian Thilo; Mulugeta Gebregziabher; Florian B Mayer; Peter L Zwerner; Philip Costello; U Joseph Schoepf Journal: Eur Radiol Date: 2009-10-28 Impact factor: 5.315
Authors: Peter R Villadsen; Steffen E Petersen; Damini Dey; Lu Zou; Shivali Patel; Hafiz Naderi; Katarzyna Gruszczynska; Jan Baron; L Ceri Davies; Andrew Wragg; Hans Erik Bøtker; Francesca Pugliese Journal: Eur Heart J Cardiovasc Imaging Date: 2017-05-01 Impact factor: 6.875