Diagnostic performance of a novel coronary CT angiography algorithm: Prospective multicenter validation of an intracycle CT motion correction algorithm for diagnostic accuracy

Daniele Andreini, Fay Y. Lin, Asim Rizvi, Iksung Cho, Ran Heo, Gianluca Pontone, Antonio L. Bartorelli, Saima Mushtaq, Todd C. Villines, Patricia Carrascosa, Byoung Wook Choi, Stephen Bloom, Han Wei, Yan Xing, Dan Gebow, Heidi Gransar, Hyuk Jae Chang, Jonathon Leipsic, James K. Min

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Abstract

OBJECTIVE. Motion artifact can reduce the diagnostic accuracy of coronary CT angiography (CCTA) for coronary artery disease (CAD). The purpose of this study was to compare the diagnostic performance of an algorithm dedicated to correcting coronary motion artifact with the performance of standard reconstruction methods in a prospective international multicenter study. SUBJECTS AND METHODS. Patients referred for clinically indicated invasive coronary angiography (ICA) for suspected CAD prospectively underwent an investigational CCTA examination free from heart rate–lowering medications before they underwent ICA. Blinded core laboratory interpretations of motion-corrected and standard reconstructions for obstructive CAD (= 50% stenosis) were compared with ICA findings. Segments unevaluable owing to artifact were considered obstructive. The primary endpoint was per-subject diagnostic accuracy of the intracycle motion correction algorithm for obstructive CAD found at ICA. RESULTS. Among 230 patients who underwent CCTA with the motion correction algorithm and standard reconstruction, 92 (40.0%) had obstructive CAD on the basis of ICA findings. At a mean heart rate of 68.0 ± 11.7 beats/min, the motion correction algorithm reduced the number of nondiagnostic scans compared with standard reconstruction (20.4% vs 34.8%; p < 0.001). Diagnostic accuracy for obstructive CAD with the motion correction algorithm (62%; 95% CI, 56–68%) was not significantly different from that of standard reconstruction on a per-subject basis (59%; 95% CI, 53–66%; p = 0.28) but was superior on a per-vessel basis: 77% (95% CI, 74–80%) versus 72% (95% CI, 69–75%) (p = 0.02). The motion correction algorithm was superior in subgroups of patients with severely obstructive (= 70%) stenosis, heart rate = 70 beats/min, and vessels in the atrioventricular groove. CONCLUSION. The motion correction algorithm studied reduces artifacts and improves diagnostic performance for obstructive CAD on a per-vessel basis and in selected subgroups on a per-subject basis.

Original languageEnglish
Pages (from-to)1208-1215
Number of pages8
JournalAmerican Journal of Roentgenology
Volume210
Issue number6
DOIs
Publication statusPublished - 2018 Jun

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Coronary Angiography
Coronary Artery Disease
Artifacts
Pathologic Constriction
Heart Rate
Computed Tomography Angiography
Multicenter Studies

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

Andreini, Daniele ; Lin, Fay Y. ; Rizvi, Asim ; Cho, Iksung ; Heo, Ran ; Pontone, Gianluca ; Bartorelli, Antonio L. ; Mushtaq, Saima ; Villines, Todd C. ; Carrascosa, Patricia ; Choi, Byoung Wook ; Bloom, Stephen ; Wei, Han ; Xing, Yan ; Gebow, Dan ; Gransar, Heidi ; Chang, Hyuk Jae ; Leipsic, Jonathon ; Min, James K. / Diagnostic performance of a novel coronary CT angiography algorithm : Prospective multicenter validation of an intracycle CT motion correction algorithm for diagnostic accuracy. In: American Journal of Roentgenology. 2018 ; Vol. 210, No. 6. pp. 1208-1215.
@article{0f81eb6891de4804931ec26f7d8c43fd,
title = "Diagnostic performance of a novel coronary CT angiography algorithm: Prospective multicenter validation of an intracycle CT motion correction algorithm for diagnostic accuracy",
abstract = "OBJECTIVE. Motion artifact can reduce the diagnostic accuracy of coronary CT angiography (CCTA) for coronary artery disease (CAD). The purpose of this study was to compare the diagnostic performance of an algorithm dedicated to correcting coronary motion artifact with the performance of standard reconstruction methods in a prospective international multicenter study. SUBJECTS AND METHODS. Patients referred for clinically indicated invasive coronary angiography (ICA) for suspected CAD prospectively underwent an investigational CCTA examination free from heart rate–lowering medications before they underwent ICA. Blinded core laboratory interpretations of motion-corrected and standard reconstructions for obstructive CAD (= 50{\%} stenosis) were compared with ICA findings. Segments unevaluable owing to artifact were considered obstructive. The primary endpoint was per-subject diagnostic accuracy of the intracycle motion correction algorithm for obstructive CAD found at ICA. RESULTS. Among 230 patients who underwent CCTA with the motion correction algorithm and standard reconstruction, 92 (40.0{\%}) had obstructive CAD on the basis of ICA findings. At a mean heart rate of 68.0 ± 11.7 beats/min, the motion correction algorithm reduced the number of nondiagnostic scans compared with standard reconstruction (20.4{\%} vs 34.8{\%}; p < 0.001). Diagnostic accuracy for obstructive CAD with the motion correction algorithm (62{\%}; 95{\%} CI, 56–68{\%}) was not significantly different from that of standard reconstruction on a per-subject basis (59{\%}; 95{\%} CI, 53–66{\%}; p = 0.28) but was superior on a per-vessel basis: 77{\%} (95{\%} CI, 74–80{\%}) versus 72{\%} (95{\%} CI, 69–75{\%}) (p = 0.02). The motion correction algorithm was superior in subgroups of patients with severely obstructive (= 70{\%}) stenosis, heart rate = 70 beats/min, and vessels in the atrioventricular groove. CONCLUSION. The motion correction algorithm studied reduces artifacts and improves diagnostic performance for obstructive CAD on a per-vessel basis and in selected subgroups on a per-subject basis.",
author = "Daniele Andreini and Lin, {Fay Y.} and Asim Rizvi and Iksung Cho and Ran Heo and Gianluca Pontone and Bartorelli, {Antonio L.} and Saima Mushtaq and Villines, {Todd C.} and Patricia Carrascosa and Choi, {Byoung Wook} and Stephen Bloom and Han Wei and Yan Xing and Dan Gebow and Heidi Gransar and Chang, {Hyuk Jae} and Jonathon Leipsic and Min, {James K.}",
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language = "English",
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Andreini, D, Lin, FY, Rizvi, A, Cho, I, Heo, R, Pontone, G, Bartorelli, AL, Mushtaq, S, Villines, TC, Carrascosa, P, Choi, BW, Bloom, S, Wei, H, Xing, Y, Gebow, D, Gransar, H, Chang, HJ, Leipsic, J & Min, JK 2018, 'Diagnostic performance of a novel coronary CT angiography algorithm: Prospective multicenter validation of an intracycle CT motion correction algorithm for diagnostic accuracy', American Journal of Roentgenology, vol. 210, no. 6, pp. 1208-1215. https://doi.org/10.2214/AJR.17.18670

Diagnostic performance of a novel coronary CT angiography algorithm : Prospective multicenter validation of an intracycle CT motion correction algorithm for diagnostic accuracy. / Andreini, Daniele; Lin, Fay Y.; Rizvi, Asim; Cho, Iksung; Heo, Ran; Pontone, Gianluca; Bartorelli, Antonio L.; Mushtaq, Saima; Villines, Todd C.; Carrascosa, Patricia; Choi, Byoung Wook; Bloom, Stephen; Wei, Han; Xing, Yan; Gebow, Dan; Gransar, Heidi; Chang, Hyuk Jae; Leipsic, Jonathon; Min, James K.

In: American Journal of Roentgenology, Vol. 210, No. 6, 06.2018, p. 1208-1215.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Diagnostic performance of a novel coronary CT angiography algorithm

T2 - Prospective multicenter validation of an intracycle CT motion correction algorithm for diagnostic accuracy

AU - Andreini, Daniele

AU - Lin, Fay Y.

AU - Rizvi, Asim

AU - Cho, Iksung

AU - Heo, Ran

AU - Pontone, Gianluca

AU - Bartorelli, Antonio L.

AU - Mushtaq, Saima

AU - Villines, Todd C.

AU - Carrascosa, Patricia

AU - Choi, Byoung Wook

AU - Bloom, Stephen

AU - Wei, Han

AU - Xing, Yan

AU - Gebow, Dan

AU - Gransar, Heidi

AU - Chang, Hyuk Jae

AU - Leipsic, Jonathon

AU - Min, James K.

PY - 2018/6

Y1 - 2018/6

N2 - OBJECTIVE. Motion artifact can reduce the diagnostic accuracy of coronary CT angiography (CCTA) for coronary artery disease (CAD). The purpose of this study was to compare the diagnostic performance of an algorithm dedicated to correcting coronary motion artifact with the performance of standard reconstruction methods in a prospective international multicenter study. SUBJECTS AND METHODS. Patients referred for clinically indicated invasive coronary angiography (ICA) for suspected CAD prospectively underwent an investigational CCTA examination free from heart rate–lowering medications before they underwent ICA. Blinded core laboratory interpretations of motion-corrected and standard reconstructions for obstructive CAD (= 50% stenosis) were compared with ICA findings. Segments unevaluable owing to artifact were considered obstructive. The primary endpoint was per-subject diagnostic accuracy of the intracycle motion correction algorithm for obstructive CAD found at ICA. RESULTS. Among 230 patients who underwent CCTA with the motion correction algorithm and standard reconstruction, 92 (40.0%) had obstructive CAD on the basis of ICA findings. At a mean heart rate of 68.0 ± 11.7 beats/min, the motion correction algorithm reduced the number of nondiagnostic scans compared with standard reconstruction (20.4% vs 34.8%; p < 0.001). Diagnostic accuracy for obstructive CAD with the motion correction algorithm (62%; 95% CI, 56–68%) was not significantly different from that of standard reconstruction on a per-subject basis (59%; 95% CI, 53–66%; p = 0.28) but was superior on a per-vessel basis: 77% (95% CI, 74–80%) versus 72% (95% CI, 69–75%) (p = 0.02). The motion correction algorithm was superior in subgroups of patients with severely obstructive (= 70%) stenosis, heart rate = 70 beats/min, and vessels in the atrioventricular groove. CONCLUSION. The motion correction algorithm studied reduces artifacts and improves diagnostic performance for obstructive CAD on a per-vessel basis and in selected subgroups on a per-subject basis.

AB - OBJECTIVE. Motion artifact can reduce the diagnostic accuracy of coronary CT angiography (CCTA) for coronary artery disease (CAD). The purpose of this study was to compare the diagnostic performance of an algorithm dedicated to correcting coronary motion artifact with the performance of standard reconstruction methods in a prospective international multicenter study. SUBJECTS AND METHODS. Patients referred for clinically indicated invasive coronary angiography (ICA) for suspected CAD prospectively underwent an investigational CCTA examination free from heart rate–lowering medications before they underwent ICA. Blinded core laboratory interpretations of motion-corrected and standard reconstructions for obstructive CAD (= 50% stenosis) were compared with ICA findings. Segments unevaluable owing to artifact were considered obstructive. The primary endpoint was per-subject diagnostic accuracy of the intracycle motion correction algorithm for obstructive CAD found at ICA. RESULTS. Among 230 patients who underwent CCTA with the motion correction algorithm and standard reconstruction, 92 (40.0%) had obstructive CAD on the basis of ICA findings. At a mean heart rate of 68.0 ± 11.7 beats/min, the motion correction algorithm reduced the number of nondiagnostic scans compared with standard reconstruction (20.4% vs 34.8%; p < 0.001). Diagnostic accuracy for obstructive CAD with the motion correction algorithm (62%; 95% CI, 56–68%) was not significantly different from that of standard reconstruction on a per-subject basis (59%; 95% CI, 53–66%; p = 0.28) but was superior on a per-vessel basis: 77% (95% CI, 74–80%) versus 72% (95% CI, 69–75%) (p = 0.02). The motion correction algorithm was superior in subgroups of patients with severely obstructive (= 70%) stenosis, heart rate = 70 beats/min, and vessels in the atrioventricular groove. CONCLUSION. The motion correction algorithm studied reduces artifacts and improves diagnostic performance for obstructive CAD on a per-vessel basis and in selected subgroups on a per-subject basis.

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