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Browsing by Author "Heo, Ran"

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  • Corrigendum to ‘Relation of Gender to Atherosclerotic Plaque Characteristics by Differing Angiographic Stenosis Severity’ The American Journal of Cardiology, Volume 204, 1 October 2023, Pages 276-283 (The American Journal of Cardiology (2023) 204 (276–283), (S0002914923005325), (10.1016/j.amjcard.2023.07.004))
    Publication . Jonas, Rebecca; Patel, Toral; Crabtree, Tami R.; Jennings, Robert S.; Heo, Ran; Park, Hyung Bok; Marques, Hugo; Chang, Hyuk Jae; Stuijfzand, Wijnand J.; Rosendael, Alexander R.van; Choi, Jung Hyun; Doh, Joon Hyung; Her, Ae Young; Koo, Bon Kwon; Nam, Chang Wook; Shin, Sang Hoon; Cole, Jason; Gimelli, Alessia; Khan, Muhammad Akram; Lu, Bin; Gao, Yang; Nabi, Faisal; Al-Mallah, Mouaz H.; Nakazato, Ryo; Schoepf, U. Joseph; Driessen, Roel S.; Bom, Michiel J.; Thompson, Randall C.; Jang, James J.; Ridner, Michael; Rowan, Chris; Avelar, Erick; Généreux, Philippe; Knaapen, Paul; de Waard, Guus A.; Pontone, Gianluca; Andreini, Daniele; Bax, Jeroen J.; Choi, Andrew D.; Earls, James P.; Hoffmann, Udo; Min, James K.; Villines, Todd C.
    The authors regret that the original version was published with the wrong ac affiliation. The affiliation has now been corrected. The authors regret any inconvenience caused.
    2023Journal article Open access Show more
  • Development and validation of a quantitative coronary CT Angiography model for diagnosis of vessel-specific coronary ischemia
    Publication . CREDENCE and PACIFIC-1 Investigators; Nurmohamed, Nick S.; Danad, Ibrahim; Jukema, Ruurt A.; Winter, Ruben W. de; Groot, Robin J. de; Driessen, Roel S.; Bom, Michiel J.; Diemen, Pepijn van; Pontone, Gianluca; Andreini, Daniele; Chang, Hyuk Jae; Katz, Richard J.; Stroes, Erik S. G.; Wang, Hao; Chan, Chung; Crabtree, Tami; Aquino, Melissa; Min, James K.; Earls, James P.; Bax, Jeroen J.; Choi, Andrew D.; Knaapen, Paul; Rosendael, Alexander R. van; Heo, Ran; Park, Hyung Bok; Marques, Hugo; Stuijfzand, Wijnand J.; Choi, Jung Hyun; Doh, Joon Hyung; Her, Ae Young; Koo, Bon Kwon; Nam, Chang Wook; Shin, Sang Hoon; Cole, Jason; Gimelli, Alessia; Khan, Muhammad Akram; Lu, Bin; Gao, Yang; Nabi, Faisal; Al-Mallah, Mouaz H.; Nakazato, Ryo; Schoepf, U. Joseph; Thompson, Randall C.; Jang, James J.; Ridner, Michael; Rowan, Chris; Avelar, Erick; Généreux, Philippe; Waard, Guus A. de; Sprengers, Ralf W.
    Background: Noninvasive stress testing is commonly used for detection of coronary ischemia but possesses variable accuracy and may result in excessive health care costs. Objectives: This study aimed to derive and validate an artificial intelligence-guided quantitative coronary computed tomography angiography (AI-QCT) model for the diagnosis of coronary ischemia that integrates atherosclerosis and vascular morphology measures (AI-QCTISCHEMIA) and to evaluate its prognostic utility for major adverse cardiovascular events (MACE). Methods: A post hoc analysis of the CREDENCE (Computed Tomographic Evaluation of Atherosclerotic Determinants of Myocardial Ischemia) and PACIFIC-1 (Comparison of Coronary Computed Tomography Angiography, Single Photon Emission Computed Tomography [SPECT], Positron Emission Tomography [PET], and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve) studies was performed. In both studies, symptomatic patients with suspected stable coronary artery disease had prospectively undergone coronary computed tomography angiography (CTA), myocardial perfusion imaging (MPI), SPECT, or PET, fractional flow reserve by CT (FFRCT), and invasive coronary angiography in conjunction with invasive FFR measurements. The AI-QCTISCHEMIA model was developed in the derivation cohort of the CREDENCE study, and its diagnostic performance for coronary ischemia (FFR ≤0.80) was evaluated in the CREDENCE validation cohort and PACIFIC-1. Its prognostic value was investigated in PACIFIC-1. Results: In CREDENCE validation (n = 305, age 64.4 ± 9.8 years, 210 [69%] male), the diagnostic performance by area under the receiver-operating characteristics curve (AUC) on per-patient level was 0.80 (95% CI: 0.75-0.85) for AI-QCTISCHEMIA, 0.69 (95% CI: 0.63-0.74; P < 0.001) for FFRCT, and 0.65 (95% CI: 0.59-0.71; P < 0.001) for MPI. In PACIFIC-1 (n = 208, age 58.1 ± 8.7 years, 132 [63%] male), the AUCs were 0.85 (95% CI: 0.79-0.91) for AI-QCTISCHEMIA, 0.78 (95% CI: 0.72-0.84; P = 0.037) for FFRCT, 0.89 (95% CI: 0.84-0.93; P = 0.262) for PET, and 0.72 (95% CI: 0.67-0.78; P < 0.001) for SPECT. Adjusted for clinical risk factors and coronary CTA-determined obstructive stenosis, a positive AI-QCTISCHEMIA test was associated with an HR of 7.6 (95% CI: 1.2-47.0; P = 0.030) for MACE. Conclusions: This newly developed coronary CTA-based ischemia model using coronary atherosclerosis and vascular morphology characteristics accurately diagnoses coronary ischemia by invasive FFR and provides robust prognostic utility for MACE beyond presence of stenosis.
    2024Journal article Open access Show more
  • Relation of gender to atherosclerotic plaque characteristics by differing angiographic stenosis severity
    Publication . Jonas, Rebecca; Patel, Toral; Crabtree, Tami R.; Jennings, Robert S.; Heo, Ran; Park, Hyung Bok; Marques, Hugo; Chang, Hyuk Jae; Stuijfzand, Wijnand J.; van Rosendael, Alexander R.; Choi, Jung Hyun; Doh, Joon Hyung; Her, Ae Young; Koo, Bon Kwon; Nam, Chang Wook; Shin, Sang Hoon; Cole, Jason; Gimelli, Alessia; Khan, Muhammad Akram; Lu, Bin; Gao, Yang; Nabi, Faisal; Al-Mallah, Mouaz H.; Nakazato, Ryo; Schoepf, U. Joseph; Driessen, Roel S.; Bom, Michiel J.; Thompson, Randall C.; Jang, James J.; Ridner, Michael; Rowan, Chris; Avelar, Erick; Généreux, Philippe; Knaapen, Paul; de Waard, Guus A.; Pontone, Gianluca; Andreini, Daniele; Bax, Jeroen J.; Choi, Andrew D.; Earls, James P.; Hoffmann, Udo; Min, James K.; Villines, Todd C.
    It is unknown whether gender influences the atherosclerotic plaque characteristics (APCs) of lesions of varying angiographic stenosis severity. This study evaluated the imaging data of 303 symptomatic patients from the derivation arm of the CREDENCE (Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia) trial, all of whom underwent coronary computed tomographic angiography and clinically indicated nonemergent invasive coronary angiography upon study enrollment. Index tests were interpreted by 2 blinded core laboratories, one of which performed quantitative coronary computed tomographic angiography using an artificial intelligence application to characterize and quantify APCs, including percent atheroma volume (PAV), low-density noncalcified plaque (LD-NCP), noncalcified plaque (NCP), calcified plaque (CP), lesion length, positive arterial remodeling, and high-risk plaque (a combination of LD-NCP and positive remodeling ≥1.10); the other classified lesions as obstructive (≥50% diameter stenosis) or nonobstructive (<50% diameter stenosis) based on quantitative invasive coronary angiography. The relation between APCs and angiographic stenosis was further examined by gender. The mean age of the study cohort was 64.4 ± 10.2 years (29.0% female). In patients with obstructive disease, men had more LD-NCP PAV (0.5 ± 0.4 vs 0.3 ± 0.8, p = 0.03) and women had more CP PAV (11.7 ± 1.6 vs 8.0 ± 0.8, p = 0.04). Obstructive lesions had more NCP PAV compared with their nonobstructive lesions in both genders, however, obstructive lesions in women also demonstrated greater LD-NCP PAV (0.4 ± 0.5 vs 1.0 ± 1.8, p = 0.03), and CP PAV (17.4 ± 16.5 vs 25.9 ± 18.7, p = 0.03) than nonobstructive lesions. Comparing the composition of obstructive lesions by gender, women had more CP PAV (26.3 ± 3.4 vs 15.8 ± 1.5, p = 0.005) whereas men had more NCP PAV (33.0 ± 1.6 vs 26.7 ± 2.5, p = 0.04). Men had more LD-NCP PAV in nonobstructive lesions compared with women (1.2 ± 0.2 vs 0.6 ± 0.2, p = 0.02). In conclusion, there are gender-specific differences in plaque composition based on stenosis severity.
    2023-10-01Journal article Open access Show more