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Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score
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- Mantini, Cesare (author)
- University G.d'Annunzio of Chieti-Pescara
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- Maffei, Erica (author)
- Azienda Sanitaria Unica Regionale Marche
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- Toia, Patrizia (author)
- University of Palermo
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- Ricci, Fabrizio (author)
- Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups,University G.d'Annunzio of Chieti-Pescara
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- Seitun, Sara (author)
- Ospedale Policlinico San Martino
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- Clemente, Alberto (author)
- Tuscany Gabriele Monasterio Foundation
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- Malagò, Roberto (author)
- University of Verona
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- Runza, Giuseppe (author)
- Umberto I Hospital, Siracusa
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- La Grutta, Ludovico (author)
- University of Palermo
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- Midiri, Massimo (author)
- University of Palermo
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- Cotroneo, Antonio Raffaele (author)
- University G.d'Annunzio of Chieti-Pescara
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- Forte, Ernesto (author)
- SDN IRCCS
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- Cademartiri, Filippo (author)
- SDN IRCCS
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University Gd'Annunzio of Chieti-Pescara Azienda Sanitaria Unica Regionale Marche (creator_code:org_t)
- Elsevier BV, 2018
- 2018
- English 7 s.
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In: European Journal of Radiology. - : Elsevier BV. - 0720-048X. ; 101, s. 1-7
- Related links:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
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- Objective: To investigate the influence of different CT reconstruction parameters on coronary artery calcium scoring (CACS) values and reclassification of predicted cardiovascular (CV) risk. Methods: CACS was evaluated in 113 patients undergoing ECG-gated 64-slice CT. Reference CACS protocol included standard kernel filter (B35f) with slice thickness/increment of 3/1.5 mm, and field-of-view (FOV) of 150–180 mm. Influence of different image reconstruction algorithms (reconstructed slice thickness/increment 2.0/1.0–1.5/0.8–3.0/2.0–3.0/3.0 mm; slice kernel B30f-B45f; FOV 200–250 mm) on Agatston score was assessed by Bland-Altman plots and concordance correlation coefficient (CCC) analysis. Classification of CV risk was based on the Mayo Clinic classification. Results: Different CACS reconstruction parameters showed overall good accuracy and precision when compared with reference protocol. Protocols with larger FOV, thinner slices and sharper kernels were associated with significant CV risk reclassification. Use of kernel B45f showed a moderate positive correlation with reference CACS protocol (Agatston CCC = 0.67), and yielded significantly higher CACS values (p <.05). Reconstruction parameters using B30f or B45f kernels, 250 mm FOV, or slice thickness/increment of 2.0/1.0 mm or 1.5/0.8 mm, were associated with significant reclassification of CV risk (p <.05). Conclusions: Kernel, FOV, slice thickness and increment are major determinants of accuracy and precision of CACS measurement. Despite high agreement and overall good correlation of different reconstruction protocols, thinner slices thickness and increment, and sharper kernels were associated with significant upward reclassification of CV risk. Larger FOV determined both upward and downward reclassification of CV risk.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kardiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
Keyword
- Cardiac computed tomography
- Cardiovascular risk
- Cardiovascular risk classification
- Coronary artery calcium score
- Reconstruction parameters
Publication and Content Type
- art (subject category)
- ref (subject category)
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- By the author/editor
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Mantini, Cesare
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Maffei, Erica
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Toia, Patrizia
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Ricci, Fabrizio
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Seitun, Sara
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Clemente, Albert ...
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Malagò, Roberto
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Runza, Giuseppe
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La Grutta, Ludov ...
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Midiri, Massimo
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Cotroneo, Antoni ...
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Forte, Ernesto
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Cademartiri, Fil ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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MEDICAL AND HEAL ...
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Lund University