Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score

Massimo Midiri, Giuseppe Runza, Ludovico La Grutta, Patrizia Toia, Giuseppe Runza, Antonio Raffaele Cotroneo, Filippo Cademartiri, Roberto Malagò, Alberto Clemente, Erica Maffei, Sara Seitun, Cesare Mantini, Fabrizio Ricci, Ernesto Forte

Risultato della ricerca: Article

1 Citazione (Scopus)

Abstract

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.
Lingua originaleEnglish
pagine (da-a)1-7
Numero di pagine7
RivistaEuropean Journal of Radiology
Volume101
Stato di pubblicazionePublished - 2018

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Computer-Assisted Image Processing
Coronary Vessels
Tomography
Calcium
Electrocardiography

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score. / Midiri, Massimo; Runza, Giuseppe; La Grutta, Ludovico; Toia, Patrizia; Runza, Giuseppe; Cotroneo, Antonio Raffaele; Cademartiri, Filippo; Malagò, Roberto; Clemente, Alberto; Maffei, Erica; Seitun, Sara; Mantini, Cesare; Ricci, Fabrizio; Forte, Ernesto.

In: European Journal of Radiology, Vol. 101, 2018, pag. 1-7.

Risultato della ricerca: Article

Midiri, M, Runza, G, La Grutta, L, Toia, P, Runza, G, Cotroneo, AR, Cademartiri, F, Malagò, R, Clemente, A, Maffei, E, Seitun, S, Mantini, C, Ricci, F & Forte, E 2018, 'Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score', European Journal of Radiology, vol. 101, pagg. 1-7.
Midiri, Massimo ; Runza, Giuseppe ; La Grutta, Ludovico ; Toia, Patrizia ; Runza, Giuseppe ; Cotroneo, Antonio Raffaele ; Cademartiri, Filippo ; Malagò, Roberto ; Clemente, Alberto ; Maffei, Erica ; Seitun, Sara ; Mantini, Cesare ; Ricci, Fabrizio ; Forte, Ernesto. / Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score. In: European Journal of Radiology. 2018 ; Vol. 101. pagg. 1-7.
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title = "Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score",
abstract = "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{\^a}€“180 mm. Influence of different image reconstruction algorithms (reconstructed slice thickness/increment 2.0/1.0{\^a}€“1.5/0.8{\^a}€“3.0/2.0{\^a}€“3.0/3.0 mm; slice kernel B30f-B45f; FOV 200{\^a}€“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.",
author = "Massimo Midiri and Giuseppe Runza and {La Grutta}, Ludovico and Patrizia Toia and Giuseppe Runza and Cotroneo, {Antonio Raffaele} and Filippo Cademartiri and Roberto Malag{\`o} and Alberto Clemente and Erica Maffei and Sara Seitun and Cesare Mantini and Fabrizio Ricci and Ernesto Forte",
year = "2018",
language = "English",
volume = "101",
pages = "1--7",
journal = "European Journal of Radiology",
issn = "0720-048X",
publisher = "Elsevier Ireland Ltd",

}

TY - JOUR

T1 - Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score

AU - Midiri, Massimo

AU - Runza, Giuseppe

AU - La Grutta, Ludovico

AU - Toia, Patrizia

AU - Runza, Giuseppe

AU - Cotroneo, Antonio Raffaele

AU - Cademartiri, Filippo

AU - Malagò, Roberto

AU - Clemente, Alberto

AU - Maffei, Erica

AU - Seitun, Sara

AU - Mantini, Cesare

AU - Ricci, Fabrizio

AU - Forte, Ernesto

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/280512

M3 - Article

VL - 101

SP - 1

EP - 7

JO - European Journal of Radiology

JF - European Journal of Radiology

SN - 0720-048X

ER -