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

Research output: Contribution to journalArticle

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 - Jun 2018

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

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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

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, H-J, 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
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.
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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.",
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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.

U2 - 10.2214/AJR.17.18670

DO - 10.2214/AJR.17.18670

M3 - Article

VL - 210

SP - 1208

EP - 1215

JO - American Journal of Roentgenology

JF - American Journal of Roentgenology

SN - 0361-803X

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