Correction: Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics

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Lee, JM
Choi, G
Koo, B-K
Hwang, D
Park, J
Zhang, J
Kim, K-J
Tong, Y
Kim, HJ
Grady, L
Doh, J-H
Nam, C-W
Shin, E-S
Cho, Y-S
Choi, S-Y
Chun, EJ
Choi, J-H
Norgaard, BL
Christiansen, EH
Nieman, K
Otake, H
Penicka, M
de Bruyne, B
Kubo, T
Akasaka, T
Narula, J
Douglas, PS
Taylor, CA
Kim, H-S
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2019
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Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics J Am Coll Cardiol Img 2019;12:1032–43. https://doi.org/10.1016/j.jcmg.2018.01.023 In the above paper, the lesion length in Tables 1 and 2 have been amended. Since all the lesions were analyzed by 2 independent core laboratories, there were 2 kinds of lesion length for all lesions; reconstructed 3-dimensional model-based lesion length and CCTA-derived lesion length. The authors uniformly used the CCTA-based lesion length throughout all analyses, but they found that reconstructed 3-dimensional model-based lesion length was presented in the baseline characteristics tables.

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JACC: Cardiovascular Imaging

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12

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11

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Cardiovascular medicine and haematology

Clinical sciences

Science & Technology

Life Sciences & Biomedicine

Cardiac & Cardiovascular Systems

Radiology, Nuclear Medicine & Medical Imaging

Cardiovascular System & Cardiology

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Lee, et al., Correction: Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics, JACC: Cardiovascular Imaging, 2019, 12 (11), pp. 2288-2289

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