Low-kV coronary artery calcium scoring with tin filtration using a kV-independent reconstruction algorithm.


Journal

Journal of cardiovascular computed tomography
ISSN: 1876-861X
Titre abrégé: J Cardiovasc Comput Tomogr
Pays: United States
ID NLM: 101308347

Informations de publication

Date de publication:
Historique:
received: 18 06 2019
revised: 16 10 2019
accepted: 20 11 2019
pubmed: 18 12 2019
medline: 8 9 2020
entrez: 18 12 2019
Statut: ppublish

Résumé

To investigate the accuracy of Agatston scoring and potential for radiation dose reduction of a coronary artery calcium scoring (CACS) CT protocol at 100 kV with tin filtration (Sn100kV) and kV-independent iterative reconstruction, compared to standard 120 kV acquisitions. With IRB approval and in HIPAA compliance, 114 patients (61.8 ± 9.6 years; 66 men) underwent CACS using a standard 120 kV protocol and an additional Sn100kV CACS scan. The two datasets were reconstructed using a medium sharp convolution algorithm and in addition the Sn100kV scans were reconstructed iteratively based on a kV-independent algorithm. Agatston scores and radiation dose values were compared between the Sn100kV and the standard 120 kV protocol. Median Agatston scores derived from the Sn100kV protocol with the kV-independent algorithm and the standard 120 kV were 21.4 (IQR, 0-173.8) and 24.7 (IQR, 0-171.1) respectively, with no significant differences (p=0.18). Agatston scores derived from the two different protocols had an excellent correlation (r = 0.99). The dose-length-product was 11.5 ± 4.1 mGy × cm using Sn100kV and 50.4 ± 24.9 mGy × cm using the standard 120 kV protocol (p < 0.01), resulting in a significantly lower (77%) effective dose at Sn100kV (0.16 ± 0.06 mSv vs. 0.71 ± 0.35 mSv, p < 0.01). Additionally, 99% of the patients were classified into the same risk category (0, 1-10, 11-100, 101-400, or >400) using the Sn100kV protocol. CACS at Sn100kV using the kV-independent iterative algorithm is feasible and provides high accuracy when compared to standard 120 kV scanning. Furthermore, radiation dose can be significantly reduced for this screening application in a priori healthy individuals.

Identifiants

pubmed: 31843523
pii: S1934-5925(19)30353-3
doi: 10.1016/j.jcct.2019.11.006
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

246-250

Informations de copyright

Copyright © 2020 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Auteurs

Vincenzo Vingiani (V)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA; Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli - IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Rome, Italy. Electronic address: vincenzovingiani@gmail.com.

Andres F Abadia (AF)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA. Electronic address: Abadia@musc.edu.

U Joseph Schoepf (UJ)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA. Electronic address: schoepf@musc.edu.

Andreas M Fischer (AM)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA. Electronic address: AndreasMarco.Fischer@googlemail.com.

Akos Varga-Szemes (A)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA. Electronic address: Vargaasz@musc.edu.

Pooyan Sahbaee (P)

Siemens Medical Solutions USA, Malvern, PA, USA. Electronic address: pooyan.sahbaee@siemens-healthineers.com.

Thomas Allmendinger (T)

Computed Tomography - Research & Development, Siemens Healthcare GmbH, Forchheim, Siemensstrasse 1, 91301, Forchheim, Germany. Electronic address: Thomas.allmendinger@siemens.com.

Christian Tesche (C)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA; Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany; Department of Internal Medicine, St. Johannes-Hospital, Dortmund, Germany. Electronic address: tesche.christian@gmail.com.

L Parkwood Griffith (LP)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA. Electronic address: griffile@musc.edu.

Riccardo Marano (R)

Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli - IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Rome, Italy. Electronic address: Riccardo.Marano@unicatt.it.

Simon S Martin (SS)

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, USA; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany. Electronic address: simartin@outlook.com.

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