TY - JOUR
T1 - Quantitative coronary plaque analysis predicts high-risk plaque morphology on coronary computed tomography angiography
T2 - results from the ROMICAT II trial
AU - Liu, Ting
AU - Maurovich-Horvat, Pál
AU - Mayrhofer, Thomas
AU - Puchner, Stefan B.
AU - Lu, Michael T.
AU - Ghemigian, Khristine
AU - Kitslaar, Pieter H.
AU - Broersen, Alexander
AU - Pursnani, Amit
AU - Hoffmann, Udo
AU - Ferencik, Maros
N1 - Funding Information:
This work was supported by Grants from the National Heart, Lung, and Blood Institute (U01HL092040 and U01HL092022). Dr. Ferencik received support from the American Heart Association (13FTF16450001). Dr. Hoffmann received research Grant support from NIH (U01HL092040, U01HL092022), Siemens Medical Solutions and Heart Flow Inc. and consultant/advisory board support from Heart Flow Inc. Pieter Kitslaar is an employee of Medis medical imaging systems B.V. The authors take responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation. Dr. Hoffman receives grant support from Siemens Medical Solutions and Heart Flow Inc.
Funding Information:
Funding This work was supported by Grants from the National Heart, Lung, and Blood Institute (U01HL092040 and U01HL092022). Dr. Ferencik received support from the American Heart Association (13FTF16450001). Dr. Hoffmann received research Grant support from NIH (U01HL092040, U01HL092022), Siemens Medical Solutions and Heart Flow Inc. and consultant/advisory board support from Heart Flow Inc. Pieter Kitslaar is an employee of Medis medical imaging systems B.V.
Funding Information:
Conflict of interest Dr. Hoffman receives grant support from Siemens Medical Solutions and Heart Flow Inc. and consultant/advisory board support from Heart Flow Inc. Pieter Kitslaar is an employee of Medis medical imaging systems B.V. Other authors declares that he/ she has no conflict of interest.
Publisher Copyright:
© 2017, Springer Science+Business Media B.V.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Semi-automated software can provide quantitative assessment of atherosclerotic plaques on coronary CT angiography (CTA). The relationship between established qualitative high-risk plaque features and quantitative plaque measurements has not been studied. We analyzed the association between quantitative plaque measurements and qualitative high-risk plaque features on coronary CTA. We included 260 patients with plaque who underwent coronary CTA in the Rule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography (ROMICAT) II trial. Quantitative plaque assessment and qualitative plaque characterization were performed on a per coronary segment basis. Quantitative coronary plaque measurements included plaque volume, plaque burden, remodeling index, and diameter stenosis. In qualitative analysis, high-risk plaque was present if positive remodeling, low CT attenuation plaque, napkin-ring sign or spotty calcium were detected. Univariable and multivariable logistic regression analyses were performed to assess the association between quantitative and qualitative high-risk plaque assessment. Among 888 segments with coronary plaque, high-risk plaque was present in 391 (44.0%) segments by qualitative analysis. In quantitative analysis, segments with high-risk plaque had higher total plaque volume, low CT attenuation plaque volume, plaque burden and remodeling index. Quantitatively assessed low CT attenuation plaque volume (odds ratio 1.12 per 1 mm3, 95% CI 1.04–1.21), positive remodeling (odds ratio 1.25 per 0.1, 95% CI 1.10–1.41) and plaque burden (odds ratio 1.53 per 0.1, 95% CI 1.08–2.16) were associated with high-risk plaque. Quantitative coronary plaque characteristics (low CT attenuation plaque volume, positive remodeling and plaque burden) measured by semi-automated software correlated with qualitative assessment of high-risk plaque features.
AB - Semi-automated software can provide quantitative assessment of atherosclerotic plaques on coronary CT angiography (CTA). The relationship between established qualitative high-risk plaque features and quantitative plaque measurements has not been studied. We analyzed the association between quantitative plaque measurements and qualitative high-risk plaque features on coronary CTA. We included 260 patients with plaque who underwent coronary CTA in the Rule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography (ROMICAT) II trial. Quantitative plaque assessment and qualitative plaque characterization were performed on a per coronary segment basis. Quantitative coronary plaque measurements included plaque volume, plaque burden, remodeling index, and diameter stenosis. In qualitative analysis, high-risk plaque was present if positive remodeling, low CT attenuation plaque, napkin-ring sign or spotty calcium were detected. Univariable and multivariable logistic regression analyses were performed to assess the association between quantitative and qualitative high-risk plaque assessment. Among 888 segments with coronary plaque, high-risk plaque was present in 391 (44.0%) segments by qualitative analysis. In quantitative analysis, segments with high-risk plaque had higher total plaque volume, low CT attenuation plaque volume, plaque burden and remodeling index. Quantitatively assessed low CT attenuation plaque volume (odds ratio 1.12 per 1 mm3, 95% CI 1.04–1.21), positive remodeling (odds ratio 1.25 per 0.1, 95% CI 1.10–1.41) and plaque burden (odds ratio 1.53 per 0.1, 95% CI 1.08–2.16) were associated with high-risk plaque. Quantitative coronary plaque characteristics (low CT attenuation plaque volume, positive remodeling and plaque burden) measured by semi-automated software correlated with qualitative assessment of high-risk plaque features.
KW - Coronary CT angiography
KW - Coronary atherosclerosis
KW - High-risk coronary plaque
KW - Quantitative assessment
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U2 - 10.1007/s10554-017-1228-6
DO - 10.1007/s10554-017-1228-6
M3 - Article
C2 - 28803421
AN - SCOPUS:85027336838
SN - 1569-5794
VL - 34
SP - 311
EP - 319
JO - International Journal of Cardiovascular Imaging
JF - International Journal of Cardiovascular Imaging
IS - 2
ER -