Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score
(2018) In European Journal of Radiology 101. p.1-7- 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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2018-04
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cardiac computed tomography, Cardiovascular risk, Cardiovascular risk classification, Coronary artery calcium score, Reconstruction parameters
- in
- European Journal of Radiology
- volume
- 101
- pages
- 7 pages
- publisher
- Elsevier
- external identifiers
-
- pmid:29571781
- scopus:85043309294
- ISSN
- 0720-048X
- DOI
- 10.1016/j.ejrad.2018.01.005
- language
- English
- LU publication?
- yes
- id
- e47f2737-79fd-4161-be68-4dd2a4d1127b
- date added to LUP
- 2018-03-28 12:55:59
- date last changed
- 2024-04-15 04:32:48
@article{e47f2737-79fd-4161-be68-4dd2a4d1127b,
abstract = {{<p>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.</p>}},
author = {{Mantini, Cesare and Maffei, Erica and Toia, Patrizia and Ricci, Fabrizio and Seitun, Sara and Clemente, Alberto and Malagò, Roberto and Runza, Giuseppe and La Grutta, Ludovico and Midiri, Massimo and Cotroneo, Antonio Raffaele and Forte, Ernesto and Cademartiri, Filippo}},
issn = {{0720-048X}},
keywords = {{Cardiac computed tomography; Cardiovascular risk; Cardiovascular risk classification; Coronary artery calcium score; Reconstruction parameters}},
language = {{eng}},
pages = {{1--7}},
publisher = {{Elsevier}},
series = {{European Journal of Radiology}},
title = {{Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score}},
url = {{http://dx.doi.org/10.1016/j.ejrad.2018.01.005}},
doi = {{10.1016/j.ejrad.2018.01.005}},
volume = {{101}},
year = {{2018}},
}