Impact of an intra-cycle motion correction algorithm on overall evaluability and diagnostic accuracy of computed tomography coronary angiography

Gianluca Pontone, Daniele Andreini, Erika Bertella, Andrea Baggiano, Saima Mushtaq, Monica Loguercio, Chiara Segurini, Edoardo Conte, Virginia Beltrama, Andrea Annoni, Alberto Formenti, Maria Petullà, Andrea I. Guaricci, Piero Montorsi, Daniela Trabattoni, Antonio L. Bartorelli, Mauro Pepi

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Abstract

Objectives: The aim of this study was to evaluate the impact of a novel intra-cycle motion correction algorithm (MCA) on overall evaluability and diagnostic accuracy of cardiac computed tomography coronary angiography (CCT). Methods: From a cohort of 900 consecutive patients referred for CCT for suspected coronary artery disease (CAD), we enrolled 160 (18 %) patients (mean age 65.3 ± 11.7 years, 101 male) with at least one coronary segment classified as non-evaluable for motion artefacts. The CCT data sets were evaluated using a standard reconstruction algorithm (SRA) and MCA and compared in terms of subjective image quality, evaluability and diagnostic accuracy. Results: The mean heart rate during the examination was 68.3 ± 9.4 bpm. The MCA showed a higher Likert score (3.1 ± 0.9 vs. 2.5 ± 1.1, p <0.001) and evaluability (94%vs.79 %, p <0.001) than the SRA. In a 45-patient subgroup studied by clinically indicated invasive coronary angiography, specificity, positive predictive value and accuracy were higher in MCA vs. SRA in segment-based and vessel-based models, respectively (87%vs.73 %, 50%vs.34 %, 85%vs.73 %, p <0.001 and 62%vs.28 %, 66%vs.51 % and 75%vs.57 %, p <0.001). In a patient-based model, MCA showed higher accuracy vs. SCA (93%vs.76 %, p <0.05). Conclusions: MCA can significantly improve subjective image quality, overall evaluability and diagnostic accuracy of CCT. Key Points: • Cardiac computed tomographic coronary angiography (CCT) allows non-invasive evaluation of coronary arteries • Intra-cycle motion correction algorithm (MCA) allows for compensation of coronary motion • An MCA improves image quality, CCT evaluability and diagnostic accuracy

Original languageEnglish
Pages (from-to)147-156
Number of pages10
JournalEuropean Radiology
Volume26
Issue number1
DOIs
Publication statusPublished - Jan 1 2016

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Coronary Angiography
Computed Tomography Angiography
Artifacts
Coronary Artery Disease
Coronary Vessels
Heart Rate

Keywords

  • Accuracy
  • Cardiac computed tomography
  • Coronary artery disease
  • Intra-cycle motion correction algorithm
  • Motion artefacts

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

@article{46bb901eda7e4af58307dcc9bb049157,
title = "Impact of an intra-cycle motion correction algorithm on overall evaluability and diagnostic accuracy of computed tomography coronary angiography",
abstract = "Objectives: The aim of this study was to evaluate the impact of a novel intra-cycle motion correction algorithm (MCA) on overall evaluability and diagnostic accuracy of cardiac computed tomography coronary angiography (CCT). Methods: From a cohort of 900 consecutive patients referred for CCT for suspected coronary artery disease (CAD), we enrolled 160 (18 {\%}) patients (mean age 65.3 ± 11.7 years, 101 male) with at least one coronary segment classified as non-evaluable for motion artefacts. The CCT data sets were evaluated using a standard reconstruction algorithm (SRA) and MCA and compared in terms of subjective image quality, evaluability and diagnostic accuracy. Results: The mean heart rate during the examination was 68.3 ± 9.4 bpm. The MCA showed a higher Likert score (3.1 ± 0.9 vs. 2.5 ± 1.1, p <0.001) and evaluability (94{\%}vs.79 {\%}, p <0.001) than the SRA. In a 45-patient subgroup studied by clinically indicated invasive coronary angiography, specificity, positive predictive value and accuracy were higher in MCA vs. SRA in segment-based and vessel-based models, respectively (87{\%}vs.73 {\%}, 50{\%}vs.34 {\%}, 85{\%}vs.73 {\%}, p <0.001 and 62{\%}vs.28 {\%}, 66{\%}vs.51 {\%} and 75{\%}vs.57 {\%}, p <0.001). In a patient-based model, MCA showed higher accuracy vs. SCA (93{\%}vs.76 {\%}, p <0.05). Conclusions: MCA can significantly improve subjective image quality, overall evaluability and diagnostic accuracy of CCT. Key Points: • Cardiac computed tomographic coronary angiography (CCT) allows non-invasive evaluation of coronary arteries • Intra-cycle motion correction algorithm (MCA) allows for compensation of coronary motion • An MCA improves image quality, CCT evaluability and diagnostic accuracy",
keywords = "Accuracy, Cardiac computed tomography, Coronary artery disease, Intra-cycle motion correction algorithm, Motion artefacts",
author = "Gianluca Pontone and Daniele Andreini and Erika Bertella and Andrea Baggiano and Saima Mushtaq and Monica Loguercio and Chiara Segurini and Edoardo Conte and Virginia Beltrama and Andrea Annoni and Alberto Formenti and Maria Petull{\`a} and Guaricci, {Andrea I.} and Piero Montorsi and Daniela Trabattoni and Bartorelli, {Antonio L.} and Mauro Pepi",
year = "2016",
month = "1",
day = "1",
doi = "10.1007/s00330-015-3793-1",
language = "English",
volume = "26",
pages = "147--156",
journal = "European Radiology",
issn = "0938-7994",
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number = "1",

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TY - JOUR

T1 - Impact of an intra-cycle motion correction algorithm on overall evaluability and diagnostic accuracy of computed tomography coronary angiography

AU - Pontone, Gianluca

AU - Andreini, Daniele

AU - Bertella, Erika

AU - Baggiano, Andrea

AU - Mushtaq, Saima

AU - Loguercio, Monica

AU - Segurini, Chiara

AU - Conte, Edoardo

AU - Beltrama, Virginia

AU - Annoni, Andrea

AU - Formenti, Alberto

AU - Petullà, Maria

AU - Guaricci, Andrea I.

AU - Montorsi, Piero

AU - Trabattoni, Daniela

AU - Bartorelli, Antonio L.

AU - Pepi, Mauro

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Objectives: The aim of this study was to evaluate the impact of a novel intra-cycle motion correction algorithm (MCA) on overall evaluability and diagnostic accuracy of cardiac computed tomography coronary angiography (CCT). Methods: From a cohort of 900 consecutive patients referred for CCT for suspected coronary artery disease (CAD), we enrolled 160 (18 %) patients (mean age 65.3 ± 11.7 years, 101 male) with at least one coronary segment classified as non-evaluable for motion artefacts. The CCT data sets were evaluated using a standard reconstruction algorithm (SRA) and MCA and compared in terms of subjective image quality, evaluability and diagnostic accuracy. Results: The mean heart rate during the examination was 68.3 ± 9.4 bpm. The MCA showed a higher Likert score (3.1 ± 0.9 vs. 2.5 ± 1.1, p <0.001) and evaluability (94%vs.79 %, p <0.001) than the SRA. In a 45-patient subgroup studied by clinically indicated invasive coronary angiography, specificity, positive predictive value and accuracy were higher in MCA vs. SRA in segment-based and vessel-based models, respectively (87%vs.73 %, 50%vs.34 %, 85%vs.73 %, p <0.001 and 62%vs.28 %, 66%vs.51 % and 75%vs.57 %, p <0.001). In a patient-based model, MCA showed higher accuracy vs. SCA (93%vs.76 %, p <0.05). Conclusions: MCA can significantly improve subjective image quality, overall evaluability and diagnostic accuracy of CCT. Key Points: • Cardiac computed tomographic coronary angiography (CCT) allows non-invasive evaluation of coronary arteries • Intra-cycle motion correction algorithm (MCA) allows for compensation of coronary motion • An MCA improves image quality, CCT evaluability and diagnostic accuracy

AB - Objectives: The aim of this study was to evaluate the impact of a novel intra-cycle motion correction algorithm (MCA) on overall evaluability and diagnostic accuracy of cardiac computed tomography coronary angiography (CCT). Methods: From a cohort of 900 consecutive patients referred for CCT for suspected coronary artery disease (CAD), we enrolled 160 (18 %) patients (mean age 65.3 ± 11.7 years, 101 male) with at least one coronary segment classified as non-evaluable for motion artefacts. The CCT data sets were evaluated using a standard reconstruction algorithm (SRA) and MCA and compared in terms of subjective image quality, evaluability and diagnostic accuracy. Results: The mean heart rate during the examination was 68.3 ± 9.4 bpm. The MCA showed a higher Likert score (3.1 ± 0.9 vs. 2.5 ± 1.1, p <0.001) and evaluability (94%vs.79 %, p <0.001) than the SRA. In a 45-patient subgroup studied by clinically indicated invasive coronary angiography, specificity, positive predictive value and accuracy were higher in MCA vs. SRA in segment-based and vessel-based models, respectively (87%vs.73 %, 50%vs.34 %, 85%vs.73 %, p <0.001 and 62%vs.28 %, 66%vs.51 % and 75%vs.57 %, p <0.001). In a patient-based model, MCA showed higher accuracy vs. SCA (93%vs.76 %, p <0.05). Conclusions: MCA can significantly improve subjective image quality, overall evaluability and diagnostic accuracy of CCT. Key Points: • Cardiac computed tomographic coronary angiography (CCT) allows non-invasive evaluation of coronary arteries • Intra-cycle motion correction algorithm (MCA) allows for compensation of coronary motion • An MCA improves image quality, CCT evaluability and diagnostic accuracy

KW - Accuracy

KW - Cardiac computed tomography

KW - Coronary artery disease

KW - Intra-cycle motion correction algorithm

KW - Motion artefacts

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