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7. Author Correction: Optical coherence tomography in coronary atherosclerosis assessment and intervention

Author

Araki, Makoto, Park, Seung-Jung, Dauerman, Harold L., Uemura, Shiro, Kim, Jung-Sun, Di Mario, Carlo, Johnson, Thomas W., Guagliumi, Giulio, Kastrati, Adnan, Joner, Michael, Holm, Niels Ramsing, Alfonso, Fernando, Wijns, William, Adriaenssens, Tom, Nef, Holger, Rioufol, Gilles, Amabile, Nicolas, Souteyrand, Geraud, Meneveau, Nicolas, Gerbaud, Edouard, Opolski, Maksymilian P., Gonzalo, Nieves, Tearney, Guillermo J., Bouma, Brett, Aguirre, Aaron D., Mintz, Gary S., Stone, Gregg W., Bourantas, Christos V., Räber, Lorenz, Gili, Sebastiano, Mizuno, Kyoichi, Kimura, Shigeki, Shinke, Toshiro, Hong, Myeong-Ki, Jang, Yangsoo, Cho, Jin Man, Yan, Bryan P., Porto, Italo, Niccoli, Giampaolo, Montone, Rocco A., Thondapu, Vikas, Papafaklis, Michail I., Michalis, Lampros K., Reynolds, Harmony, Saw, Jacqueline, Libby, Peter, Weisz, Giora, Iannaccone, Mario, Gori, Tommaso, Toutouzas, Konstantinos, Yonetsu, Taishi, Minami, Yoshiyasu, Takano, Masamichi, Raffel, O. Christopher, Kurihara, Osamu, Soeda, Tsunenari, Sugiyama, Tomoyo, Kim, Hyung Oh, Lee, Tetsumin, Higuma, Takumi, Nakajima, Akihiro, Yamamoto, Erika, Bryniarski, Krzysztof L., Di Vito, Luca, Vergallo, Rocco, Fracassi, Francesco, Russo, Michele, Seegers, Lena M., McNulty, Iris, Park, Sangjoon, Feldman, Marc, Escaned, Javier, Prati, Francesco, Arbustini, Eloisa, Pinto, Fausto J., Waksman, Ron, Garcia-Garcia, Hector M., Maehara, Akiko, Ali, Ziad, Finn, Aloke V., Virmani, Renu, Kini, Annapoorna S., Daemen, Joost, Kume, Teruyoshi, Hibi, Kiyoshi, Tanaka, Atsushi, Akasaka, Takashi, Kubo, Takashi, Yasuda, Satoshi, Croce, Kevin, Granada, Juan F., Lerman, Amir, Prasad, Abhiram, Regar, Evelyn, Saito, Yoshihiko, Sankardas, Mullasari Ajit, Subban, Vijayakumar, Weissman, Neil J., Chen, Yundai, Yu, Bo, Nicholls, Stephen J., Barlis, Peter, West, Nick E. J., Arbab-Zadeh, Armin, Ye, Jong Chul, Dijkstra, Jouke, Lee, Hang, Narula, Jagat, Crea, Filippo, Nakamura, Sunao, Kakuta, Tsunekazu, Fujimoto, James, Fuster, Valentin, and Jang, Ik-Kyung

Published
2024
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14. Biomarkers associated with coronary high-risk plaques

Author

Nakajima, Akihiro, Libby, Peter, Mitomo, Satoru, Yuki, Haruhito, Araki, Makoto, Seegers, Lena Marie, McNulty, Iris, Lee, Hang, Ishibashi, Midori, Kobayashi, Kazuna, Dijkstra, Jouke, Ouchi, Toru, Onishi, Hirokazu, Yabushita, Hiroto, Matsuoka, Satoshi, Kawamoto, Hiroyoshi, Watanabe, Yusuke, Tanaka, Kentaro, Chou, Shengpu, Sato, Tomohiko, Naganuma, Toru, Okutsu, Masaaki, Tahara, Satoko, Kurita, Naoyuki, Nakamura, Shotaro, Kuter, David J., Nakamura, Sunao, and Jang, Ik-Kyung

Published
2022
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15. Optical coherence tomography in coronary atherosclerosis assessment and intervention

Author

Araki, Makoto, Park, Seung-Jung, Dauerman, Harold L., Uemura, Shiro, Kim, Jung-Sun, Di Mario, Carlo, Johnson, Thomas W., Guagliumi, Giulio, Kastrati, Adnan, Joner, Michael, Holm, Niels Ramsing, Alfonso, Fernando, Wijns, William, Adriaenssens, Tom, Nef, Holger, Rioufol, Gilles, Amabile, Nicolas, Souteyrand, Geraud, Meneveau, Nicolas, Gerbaud, Edouard, Opolski, Maksymilian P., Gonzalo, Nieves, Tearney, Guillermo J., Bouma, Brett, Aguirre, Aaron D., Mintz, Gary S., Stone, Gregg W., Bourantas, Christos V., Räber, Lorenz, Gili, Sebastiano, Mizuno, Kyoichi, Kimura, Shigeki, Shinke, Toshiro, Hong, Myeong-Ki, Jang, Yangsoo, Cho, Jin Man, Yan, Bryan P., Porto, Italo, Niccoli, Giampaolo, Montone, Rocco A., Thondapu, Vikas, Papafaklis, Michail I., Michalis, Lampros K., Reynolds, Harmony, Saw, Jacqueline, Libby, Peter, Weisz, Giora, Iannaccone, Mario, Gori, Tommaso, Toutouzas, Konstantinos, Yonetsu, Taishi, Minami, Yoshiyasu, Takano, Masamichi, Raffel, O. Christopher, Kurihara, Osamu, Soeda, Tsunenari, Sugiyama, Tomoyo, Kim, Hyung Oh, Lee, Tetsumin, Higuma, Takumi, Nakajima, Akihiro, Yamamoto, Erika, Bryniarski, Krzysztof L., Di Vito, Luca, Vergallo, Rocco, Fracassi, Francesco, Russo, Michele, Seegers, Lena M., McNulty, Iris, Park, Sangjoon, Feldman, Marc, Escaned, Javier, Prati, Francesco, Arbustini, Eloisa, Pinto, Fausto J., Waksman, Ron, Garcia-Garcia, Hector M., Maehara, Akiko, Ali, Ziad, Finn, Aloke V., Virmani, Renu, Kini, Annapoorna S., Daemen, Joost, Kume, Teruyoshi, Hibi, Kiyoshi, Tanaka, Atsushi, Akasaka, Takashi, Kubo, Takashi, Yasuda, Satoshi, Croce, Kevin, Granada, Juan F., Lerman, Amir, Prasad, Abhiram, Regar, Evelyn, Saito, Yoshihiko, Sankardas, Mullasari Ajit, Subban, Vijayakumar, Weissman, Neil J., Chen, Yundai, Yu, Bo, Nicholls, Stephen J., Barlis, Peter, West, Nick E. J., Arbab-Zadeh, Armin, Ye, Jong Chul, Dijkstra, Jouke, Lee, Hang, Narula, Jagat, Crea, Filippo, Nakamura, Sunao, Kakuta, Tsunekazu, Fujimoto, James, Fuster, Valentin, and Jang, Ik-Kyung

Published
2022
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26. Coronary plaque and clinical characteristics of South Asian (Indian) patients with acute coronary syndromes: An optical coherence tomography study

Author

Nakajima, Akihiro, Subban, Vijaykumar, Russo, Michele, Bryniarski, Krzysztof L., Kurihara, Osamu, Araki, Makoto, Minami, Yoshiyasu, Soeda, Tsunenari, Yonetsu, Taishi, Crea, Filippo, Takano, Masamichi, Higuma, Takumi, Kakuta, Tsunekazu, Adriaenssens, Tom, Boeder, Niklas F., Nef, Holger M., Raffel, Owen C., McNulty, Iris, Lee, Hang, Nakamura, Sunao, Abdullakutty, Jabir, Mathew, Rony, Sankardas, Mullasari Ajit, and Jang, Ik-Kyung

Published
2021
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27. Optical coherence tomography

Author

Bouma, Brett E., de Boer, Johannes F., Huang, David, Jang, Ik-Kyung, Yonetsu, Taishi, Leggett, Cadman L., Leitgeb, Rainer, Sampson, David D., Suter, Melissa, Vakoc, Ben J., Villiger, Martin, and Wojtkowski, Maciej

Published
2022
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32. Differences in total plaque burden between plaque rupture and plaque erosion: A combined computed tomography angiography and optical coherence tomography study.

Author

Niida, Takayuki, Usui, Eisuke, Suzuki, Keishi, Kinoshita, Daisuke, Yuki, Haruhito, Fujimoto, Daichi, Covani, Marco, Dey, Damini, Lee, Hang, McNulty, Iris, Ferencik, Maros, Yonetsu, Taishi, Kakuta, Tsunekazu, and Jang, Ik-Kyung

Abstract

Coronary computed tomography angiography (CTA) allows for the assessment of atherosclerotic plaque burden across the entire coronary vasculature. No studies have examined the relationship between the underlying pathology of the culprit lesion and total plaque burden in patients with acute coronary syndromes. The aim of this study was to compare the total plaque burden between patients with plaque rupture versus plaque erosion. A total of 232 patients who presented with their first non-ST-segment elevation acute coronary syndrome and underwent both CTA and optical coherence tomography imaging before intervention were selected. Quantitative analysis was performed using semi-automated software (Autoplaque version 3.0, Cedars-Sinai Medical Center). An attenuation of <30 Hounsfield units defined low-density non-calcified plaque (LDNCP). All 3 vessels were assessed using the modified 17-segment American Heart Association model for coronary segment classification. Among 232 patients, 125 (53.9%) had plaque rupture and 107 (46.1%) had plaque erosion. Total plaque burden (48.2 [39.8–54.9] % vs. 44.1 [38.6–50.0] %, P ​= ​0.006), total non-calcified plaque (NCP) burden (46.6 [39.1–53.3] % vs. 43.0 [37.6–49.2] %, P ​= ​0.013), total LDNCP burden (2.3 [1.4–3.0] % vs. 1.7 [1.2–2.6] %, P ​= ​0.016), and total calcified plaque (CP) burden (0.8 [0.1–1.6] % vs. 0.4 [0.0–1.4] %, P ​= ​0.047) were significantly greater in patients with culprit plaque rupture than in those with culprit plaque erosion. Patients with plaque rupture, compared with those with plaque erosion, had a greater total plaque burden, NCP burden, LDNCP burden, and CP burden. URL: https://www.clinicaltrials.gov ; Unique identifier: NCT04523194. Patients with plaque rupture had a greater total plaque burden than those with plaque erosion. LAD ​= ​left anterior descending artery; LCX ​= ​left circumflex artery; RCA ​= ​right coronary artery. [Display omitted] [ABSTRACT FROM AUTHOR]

Published
2024
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33. Relationship between plaque burden and plaque vulnerability: Acute coronary syndromes versus chronic coronary syndrome.

Author

Kinoshita, Daisuke, Suzuki, Keishi, Fujimoto, Daichi, Niida, Takayuki, Usui, Eisuke, Minami, Yoshiyasu, Dey, Damini, Lee, Hang, McNulty, Iris, Ako, Junya, Ferencik, Maros, Kakuta, Tsunekazu, and Jang, Ik-Kyung

Abstract

The relationship between plaque burden and microscopic characterization of plaque features as it pertains to clinical presentation has not been fully investigated. The aim of this study was to compare the relationship between plaque burden and plaque vulnerability in patients with acute coronary syndromes (ACS) versus chronic coronary syndrome (CCS). Patients who underwent both coronary computed tomography angiography (CTA) and optical coherence tomography (OCT) before coronary intervention were enrolled. All plaques were detected in culprit vessels using CTA, and total plaque volume (TPV) and OCT features were assessed at the corresponding sites. All plaques were divided into three groups according to the tertile levels of TPV (low TPV: <96.5 ​mm3, moderate TPV: 96.5–164.7 ​mm3, high TPV: ≥164.8 ​mm3). A total of 990 plaques were imaged by OCT in 419 patients: 445 plaques in 190 (45.3%) patients with ACS and 545 in 229 (54.7%) with CCS. Macrophage was more prevalent in plaques with greater TPV in patients who presented with ACS but not in those who presented with CCS (low vs. moderate vs. high TPV group: macrophage 57.4% vs. 71.8% vs. 82.4% in ACS; 63.4% vs. 67.8% vs. 66.7% in CCS; interaction P ​= ​0.004). Lipid arc increased as TPV increased, especially in patients who presented with ACS. Conversely, the layer index increased as TPV increased in patients with CCS. Greater plaque burden was closely related to higher levels of plaque vulnerability in ACS and greater volume of layered plaque in CCS. clinicaltrials.gov Identifier: NCT04523194. Plaque burden has been demonstrated to be associated with plaque vulnerability. The relationship between plaque burden and vulnerability could differ between acute coronary syndromes (ACS) and chronic coronary syndrome (CCS). However, no study systematically compared the relationship. This study demonstrated that as total plaque volume increased, the levels of plaque vulnerability increased in ACS, whereas microscopic features related to the plaque healing process, such as calcification and layered plaque formation, became more prevalent in CCS. The results suggest that patients presenting with either ACS or CCS may require distinct management strategies. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Relative risk of plaque erosion among different age and sex groups in patients with acute coronary syndrome

Author

Kim, Hyung Oh, Kim, Chong Jin, Kim, Weon, Cho, Jin-Man, Soeda, Tsunenari, Takano, Masamichi, Yan, Bryan P., Crea, Filippo, Niccoli, Giampaolo, Vergallo, Rocco, Minami, Yoshiyasu, Higuma, Takumi, Kimura, Shigeki, Boeder, Niklas Frederik, Nef, Holger, Adriaenssens, Tom, Kurihara, Osamu, Thondapu, Vikas, Russo, Michele, Yamamoto, Erika, Sugiyama, Tomoyo, Lee, Hang, Kakuta, Tsunekazu, Yonetsu, Taishi, and Jang, Ik-Kyung

Published
2020
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48. Calcified Plaques in Patients With Acute Coronary Syndromes

Author

Sugiyama, Tomoyo, Yamamoto, Erika, Fracassi, Francesco, Lee, Hang, Yonetsu, Taishi, Kakuta, Tsunekazu, Soeda, Tsunenari, Saito, Yoshihiko, Yan, Bryan P., Kurihara, Osamu, Takano, Masamichi, Niccoli, Giampaolo, Crea, Filippo, Higuma, Takumi, Kimura, Shigeki, Minami, Yoshiyasu, Ako, Junya, Adriaenssens, Tom, Boeder, Niklas F., Nef, Holger M., Fujimoto, James G., Fuster, Valentin, Finn, Aloke V., Falk, Erling, and Jang, Ik-Kyung

Published
2019
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49. Coronary plaque phenotype associated with positive remodeling.

Author

Kinoshita, Daisuke, Suzuki, Keishi, Yuki, Haruhito, Niida, Takayuki, Fujimoto, Daichi, Minami, Yoshiyasu, Dey, Damini, Lee, Hang, McNulty, Iris, Ako, Junya, Ferencik, Maros, Kakuta, Tsunekazu, Ye, Jong Chul, and Jang, Ik-Kyung

Abstract

Positive remodeling is an integral part of the vascular adaptation process during the development of atherosclerosis, which can be detected by coronary computed tomography angiography (CTA). A total of 426 patients who underwent both coronary CTA and optical coherence tomography (OCT) were included. Four machine learning (ML) models, gradient boosting machine (GBM), random forest (RF), deep learning (DL), and support vector machine (SVM), were employed to detect specific plaque features. A total of 15 plaque features assessed by OCT were analyzed. The variable importance ranking was used to identify the features most closely associated with positive remodeling. In the variable importance ranking, lipid index and maximal calcification arc were consistently ranked high across all four ML models. Lipid index and maximal calcification arc were correlated with positive remodeling, showing pronounced influence at the lower range and diminishing influence at the higher range. Patients with more plaques with positive remodeling throughout their entire coronary trees had higher low-density lipoprotein cholesterol levels and were associated with a higher incidence of cardiovascular events during 5-year follow-up (Hazard ratio 2.10 [1.26–3.48], P ​= ​0.004). Greater lipid accumulation and less calcium burden were important features associated with positive remodeling in the coronary arteries. The number of coronary plaques with positive remodeling was associated with a higher incidence of cardiovascular events. [ABSTRACT FROM AUTHOR]

Published
2024
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