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, Myeongki Hong, Yangsoo Jang, Namsik Chung

Research output: Contribution to journalArticle

36 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 languageEnglish
Pages (from-to)3073-3083
Number of pages11
JournalEuropean Radiology
Volume25
Issue number10
DOIs
Publication statusPublished - 2015 Oct 13

Fingerprint

Atherosclerotic Plaques
Coronary Vessels
Pathologic Constriction
Software
Tomography
Computed Tomography Angiography

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

Park, Hyung Bok ; Lee, Byoung Kwon ; Shin, Sanghoon ; Heo, Ran ; Arsanjani, Reza ; Kitslaar, Pieter H. ; Broersen, Alexander ; Dijkstra, Jouke ; Ahn, Sung Gyun ; Min, James K. ; Chang, Hyuk-Jae ; Hong, Myeongki ; Jang, Yangsoo ; Chung, Namsik. / Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography : Comparison with Intravascular Ultrasound. In: European Radiology. 2015 ; Vol. 25, No. 10. pp. 3073-3083.
@article{5d919d376537408fac39509f2968cdec,
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 Hyuk-Jae Chang and Myeongki Hong and Yangsoo Jang and Namsik Chung",
year = "2015",
month = "10",
day = "13",
doi = "10.1007/s00330-015-3698-z",
language = "English",
volume = "25",
pages = "3073--3083",
journal = "European Radiology",
issn = "0938-7994",
publisher = "Springer Verlag",
number = "10",

}

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; Heo, Ran; Arsanjani, Reza; Kitslaar, Pieter H.; Broersen, Alexander; Dijkstra, Jouke; Ahn, Sung Gyun; Min, James K.; Chang, Hyuk-Jae; Hong, Myeongki; Jang, Yangsoo; Chung, Namsik.

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

Research output: Contribution to journalArticle

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, Myeongki

AU - Jang, Yangsoo

AU - Chung, Namsik

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.

UR - http://www.scopus.com/inward/record.url?scp=84941419558&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84941419558&partnerID=8YFLogxK

U2 - 10.1007/s00330-015-3698-z

DO - 10.1007/s00330-015-3698-z

M3 - Article

C2 - 25994190

AN - SCOPUS:84941419558

VL - 25

SP - 3073

EP - 3083

JO - European Radiology

JF - European Radiology

SN - 0938-7994

IS - 10

ER -