Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound

Hyung Bok Park; Byoung Kwon Lee; Sanghoon Shin; Ran Heo; Reza Arsanjani; Pieter H. Kitslaar; Alexander Broersen; Jouke Dijkstra; Sung Gyun Ahn; James K. Min; Hyuk Jae Chang; Myeong Ki Hong; Yangsoo Jang; Namsik Chung

doi:10.1007/s00330-015-3698-z

Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound

Hyung Bok Park, Byoung Kwon Lee, Sanghoon Shin, Ran Heo, Reza Arsanjani, Pieter H. Kitslaar, Alexander Broersen, Jouke Dijkstra, Sung Gyun Ahn, James K. Min, Hyuk Jae Chang, Myeong Ki Hong, Yangsoo Jang, Namsik Chung

Department of Internal Medicine

Research output: Contribution to journal › Article › peer-review

80 Citations (Scopus)

Abstract

Objective: To evaluate the diagnostic performance of automated coronary atherosclerotic plaque quantification (QCT) by different users (expert/non-expert/automatic). Methods: One hundred fifty coronary artery segments from 142 patients who underwent coronary computed tomography angiography (CCTA) and intravascular ultrasound (IVUS) were analyzed. Minimal lumen area (MLA), maximal lumen area stenosis percentage (%AS), mean plaque burden percentage (%PB), and plaque volume were measured semi-automatically by expert, non-expert, and fully automatic QCT analyses, and then compared to IVUS. Results: Between IVUS and expert QCT analysis, the correlation coefficients (r) for the MLA, %AS, %PB, and plaque volume were excellent: 0.89 (p < 0.001), 0.84 (p < 0.001), 0.91 (p < 0.001), and 0.94 (p < 0.001), respectively. There were no significant differences in the mean parameters (all p values >0.05) except %AS (p = 0.01). The automatic QCT analysis showed comparable performance to non-expert QCT analysis, showing correlation coefficients (r) of the MLA (0.80 vs. 0.82), %AS (0.82 vs. 0.80), %PB (0.84 vs. 0.73), and plaque volume (0.84 vs. 0.79) when they were compared to IVUS, respectively. Conclusion: Fully automatic QCT analysis showed clinical utility compared with IVUS, as well as a compelling performance when compared with semiautomatic analyses. Key Points: • Coronary CTA enables the assessment of coronary atherosclerotic plaque. • High-risk plaque characteristics and overall plaque burden can predict future cardiac events. • Coronary atherosclerotic plaque quantification is currently unfeasible in practice. • Quantitative computed tomography coronary plaque analysis software (QCT) enables feasible plaque quantification. • Fully automatic QCT analysis shows excellent performance.

Original language	English
Pages (from-to)	3073-3083
Number of pages	11
Journal	European Radiology
Volume	25
Issue number	10
DOIs	https://doi.org/10.1007/s00330-015-3698-z
Publication status	Published - 2015 Oct 13

Bibliographical note

Funding Information:
The scientific guarantor of this publication is Hyuk-Jae Chang. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. This research was supported by the Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) (No. 2012027176). No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. Methodology: retrospective, diagnostic or prognostic study, multicenter study.

Publisher Copyright:
© 2015, European Society of Radiology.

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging

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10.1007/s00330-015-3698-z

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Park, H. B., Lee, B. K., Shin, S., Heo, R., Arsanjani, R., Kitslaar, P. H., Broersen, A., Dijkstra, J., Ahn, S. G., Min, J. K., Chang, H. J., Hong, M. K., Jang, Y., & Chung, N. (2015). Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound. European Radiology, 25(10), 3073-3083. https://doi.org/10.1007/s00330-015-3698-z

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title = "Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound",

abstract = "Objective: To evaluate the diagnostic performance of automated coronary atherosclerotic plaque quantification (QCT) by different users (expert/non-expert/automatic). Methods: One hundred fifty coronary artery segments from 142 patients who underwent coronary computed tomography angiography (CCTA) and intravascular ultrasound (IVUS) were analyzed. Minimal lumen area (MLA), maximal lumen area stenosis percentage (%AS), mean plaque burden percentage (%PB), and plaque volume were measured semi-automatically by expert, non-expert, and fully automatic QCT analyses, and then compared to IVUS. Results: Between IVUS and expert QCT analysis, the correlation coefficients (r) for the MLA, %AS, %PB, and plaque volume were excellent: 0.89 (p < 0.001), 0.84 (p < 0.001), 0.91 (p < 0.001), and 0.94 (p < 0.001), respectively. There were no significant differences in the mean parameters (all p values >0.05) except %AS (p = 0.01). The automatic QCT analysis showed comparable performance to non-expert QCT analysis, showing correlation coefficients (r) of the MLA (0.80 vs. 0.82), %AS (0.82 vs. 0.80), %PB (0.84 vs. 0.73), and plaque volume (0.84 vs. 0.79) when they were compared to IVUS, respectively. Conclusion: Fully automatic QCT analysis showed clinical utility compared with IVUS, as well as a compelling performance when compared with semiautomatic analyses. Key Points: • Coronary CTA enables the assessment of coronary atherosclerotic plaque. • High-risk plaque characteristics and overall plaque burden can predict future cardiac events. • Coronary atherosclerotic plaque quantification is currently unfeasible in practice. • Quantitative computed tomography coronary plaque analysis software (QCT) enables feasible plaque quantification. • Fully automatic QCT analysis shows excellent performance.",

author = "Park, {Hyung Bok} and Lee, {Byoung Kwon} and Sanghoon Shin and Ran Heo and Reza Arsanjani and Kitslaar, {Pieter H.} and Alexander Broersen and Jouke Dijkstra and Ahn, {Sung Gyun} and Min, {James K.} and Chang, {Hyuk Jae} and Hong, {Myeong Ki} and Yangsoo Jang and Namsik Chung",

note = "Funding Information: The scientific guarantor of this publication is Hyuk-Jae Chang. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. This research was supported by the Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) (No. 2012027176). No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. Methodology: retrospective, diagnostic or prognostic study, multicenter study. Publisher Copyright: {\textcopyright} 2015, European Society of Radiology.",

year = "2015",

month = oct,

day = "13",

doi = "10.1007/s00330-015-3698-z",

language = "English",

volume = "25",

pages = "3073--3083",

journal = "European Radiology",

issn = "0938-7994",

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Park, HB, Lee, BK, Shin, S, Heo, R, Arsanjani, R, Kitslaar, PH, Broersen, A, Dijkstra, J, Ahn, SG, Min, JK, Chang, HJ , Hong, MK , Jang, Y & Chung, N 2015, 'Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound', European Radiology, vol. 25, no. 10, pp. 3073-3083. https://doi.org/10.1007/s00330-015-3698-z

Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography : Comparison with Intravascular Ultrasound. / Park, Hyung Bok; Lee, Byoung Kwon; Shin, Sanghoon et al.

In: European Radiology, Vol. 25, No. 10, 13.10.2015, p. 3073-3083.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography

T2 - Comparison with Intravascular Ultrasound

AU - Park, Hyung Bok

AU - Lee, Byoung Kwon

AU - Shin, Sanghoon

AU - Heo, Ran

AU - Arsanjani, Reza

AU - Kitslaar, Pieter H.

AU - Broersen, Alexander

AU - Dijkstra, Jouke

AU - Ahn, Sung Gyun

AU - Min, James K.

AU - Chang, Hyuk Jae

AU - Hong, Myeong Ki

AU - Jang, Yangsoo

AU - Chung, Namsik

N1 - Funding Information: The scientific guarantor of this publication is Hyuk-Jae Chang. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. This research was supported by the Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) (No. 2012027176). No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. Methodology: retrospective, diagnostic or prognostic study, multicenter study. Publisher Copyright: © 2015, European Society of Radiology.

PY - 2015/10/13

Y1 - 2015/10/13

N2 - Objective: To evaluate the diagnostic performance of automated coronary atherosclerotic plaque quantification (QCT) by different users (expert/non-expert/automatic). Methods: One hundred fifty coronary artery segments from 142 patients who underwent coronary computed tomography angiography (CCTA) and intravascular ultrasound (IVUS) were analyzed. Minimal lumen area (MLA), maximal lumen area stenosis percentage (%AS), mean plaque burden percentage (%PB), and plaque volume were measured semi-automatically by expert, non-expert, and fully automatic QCT analyses, and then compared to IVUS. Results: Between IVUS and expert QCT analysis, the correlation coefficients (r) for the MLA, %AS, %PB, and plaque volume were excellent: 0.89 (p < 0.001), 0.84 (p < 0.001), 0.91 (p < 0.001), and 0.94 (p < 0.001), respectively. There were no significant differences in the mean parameters (all p values >0.05) except %AS (p = 0.01). The automatic QCT analysis showed comparable performance to non-expert QCT analysis, showing correlation coefficients (r) of the MLA (0.80 vs. 0.82), %AS (0.82 vs. 0.80), %PB (0.84 vs. 0.73), and plaque volume (0.84 vs. 0.79) when they were compared to IVUS, respectively. Conclusion: Fully automatic QCT analysis showed clinical utility compared with IVUS, as well as a compelling performance when compared with semiautomatic analyses. Key Points: • Coronary CTA enables the assessment of coronary atherosclerotic plaque. • High-risk plaque characteristics and overall plaque burden can predict future cardiac events. • Coronary atherosclerotic plaque quantification is currently unfeasible in practice. • Quantitative computed tomography coronary plaque analysis software (QCT) enables feasible plaque quantification. • Fully automatic QCT analysis shows excellent performance.

AB - Objective: To evaluate the diagnostic performance of automated coronary atherosclerotic plaque quantification (QCT) by different users (expert/non-expert/automatic). Methods: One hundred fifty coronary artery segments from 142 patients who underwent coronary computed tomography angiography (CCTA) and intravascular ultrasound (IVUS) were analyzed. Minimal lumen area (MLA), maximal lumen area stenosis percentage (%AS), mean plaque burden percentage (%PB), and plaque volume were measured semi-automatically by expert, non-expert, and fully automatic QCT analyses, and then compared to IVUS. Results: Between IVUS and expert QCT analysis, the correlation coefficients (r) for the MLA, %AS, %PB, and plaque volume were excellent: 0.89 (p < 0.001), 0.84 (p < 0.001), 0.91 (p < 0.001), and 0.94 (p < 0.001), respectively. There were no significant differences in the mean parameters (all p values >0.05) except %AS (p = 0.01). The automatic QCT analysis showed comparable performance to non-expert QCT analysis, showing correlation coefficients (r) of the MLA (0.80 vs. 0.82), %AS (0.82 vs. 0.80), %PB (0.84 vs. 0.73), and plaque volume (0.84 vs. 0.79) when they were compared to IVUS, respectively. Conclusion: Fully automatic QCT analysis showed clinical utility compared with IVUS, as well as a compelling performance when compared with semiautomatic analyses. Key Points: • Coronary CTA enables the assessment of coronary atherosclerotic plaque. • High-risk plaque characteristics and overall plaque burden can predict future cardiac events. • Coronary atherosclerotic plaque quantification is currently unfeasible in practice. • Quantitative computed tomography coronary plaque analysis software (QCT) enables feasible plaque quantification. • Fully automatic QCT analysis shows excellent performance.

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Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound

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