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 language | English |
|---|---|
| Pages (from-to) | 147-156 |
| Number of pages | 10 |
| Journal | European Radiology |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 1 2016 |
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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
Impact of an intra-cycle motion correction algorithm on overall evaluability and diagnostic accuracy of computed tomography coronary angiography. / Pontone, Gianluca; Andreini, Daniele; Bertella, Erika; Baggiano, Andrea; Mushtaq, Saima; Loguercio, Monica; Segurini, Chiara; Conte, Edoardo; Beltrama, Virginia; Annoni, Andrea; Formenti, Alberto; Petullà, Maria; Guaricci, Andrea I.; Montorsi, Piero; Trabattoni, Daniela; Bartorelli, Antonio L.; Pepi, Mauro.
In: European Radiology, Vol. 26, No. 1, 01.01.2016, p. 147-156.Research output: Contribution to journal › Article
}
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
UR - http://www.scopus.com/inward/record.url?scp=84948711011&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84948711011&partnerID=8YFLogxK
U2 - 10.1007/s00330-015-3793-1
DO - 10.1007/s00330-015-3793-1
M3 - Article
C2 - 25953001
AN - SCOPUS:84948711011
VL - 26
SP - 147
EP - 156
JO - European Radiology
JF - European Radiology
SN - 0938-7994
IS - 1
ER -