Intracardiac shunt assessment using CT coronary angiography.

Cardiac CTTest bolus Cardiac MRI Indicator dye Intracardiac shunt Qp/Qs

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:
19 Oct 2023
Historique:
received: 14 07 2023
revised: 12 09 2023
accepted: 28 09 2023
medline: 22 10 2023
pubmed: 22 10 2023
entrez: 21 10 2023
Statut: aheadofprint

Résumé

Detection of intracardiac shunts using CT Coronary Angiography (CTCA) is currently based on anatomical demonstration of defects. We assessed a novel technique using a standard CTCA test bolus in detecting shunts independent of anatomical assessment and to provide an estimate of Qp/Qs. We retrospectively reviewed 51 CTCAs: twenty-one from patients with known simple left to right intracardiac shunts with contemporaneous functional assessment (using CMR) within 6 months, 20 controls with structurally normal hearts, and 10 patients with shunt repairs. From the dynamic acquisition of a test bolus, we measured mean Hounsfield Units (HU) in various anatomical structures. We created time/density curves from the test bolus data, and calculated disappearance time (DT) from the ascending aorta (deriving a Qp/Qs), peak ascending aortic HU, and mean coefficient of variation of the arterial curves, and compared these with the Qp/Qs from the respective CMR. Patients with intracardiac shunts had significantly higher test bolus derived Qp/Qs compared with both the controls, and the repaired shunt comparator group. There was a very strong agreement between the test bolus derived Qp/Qs, and Qp/Qs as measured by CMR (Intraclass correlation 0.89). Mean bias was 0.032 ​± ​0.341 (95% limits of agreement -0.64 to 0.70). Interobserver, and intraobserver agreement of the disappearance time was excellent (0.99, 0.99 (reader 1) and 1.00 (reader 2) respectively). In this proof-of-concept study, we demonstrate a novel technique to detect, and to estimate severity of left to right intracardiac shunts on routine Cardiac CT.

Sections du résumé

BACKGROUND BACKGROUND
Detection of intracardiac shunts using CT Coronary Angiography (CTCA) is currently based on anatomical demonstration of defects. We assessed a novel technique using a standard CTCA test bolus in detecting shunts independent of anatomical assessment and to provide an estimate of Qp/Qs.
METHODS METHODS
We retrospectively reviewed 51 CTCAs: twenty-one from patients with known simple left to right intracardiac shunts with contemporaneous functional assessment (using CMR) within 6 months, 20 controls with structurally normal hearts, and 10 patients with shunt repairs. From the dynamic acquisition of a test bolus, we measured mean Hounsfield Units (HU) in various anatomical structures. We created time/density curves from the test bolus data, and calculated disappearance time (DT) from the ascending aorta (deriving a Qp/Qs), peak ascending aortic HU, and mean coefficient of variation of the arterial curves, and compared these with the Qp/Qs from the respective CMR.
RESULTS RESULTS
Patients with intracardiac shunts had significantly higher test bolus derived Qp/Qs compared with both the controls, and the repaired shunt comparator group. There was a very strong agreement between the test bolus derived Qp/Qs, and Qp/Qs as measured by CMR (Intraclass correlation 0.89). Mean bias was 0.032 ​± ​0.341 (95% limits of agreement -0.64 to 0.70). Interobserver, and intraobserver agreement of the disappearance time was excellent (0.99, 0.99 (reader 1) and 1.00 (reader 2) respectively).
CONCLUSION CONCLUSIONS
In this proof-of-concept study, we demonstrate a novel technique to detect, and to estimate severity of left to right intracardiac shunts on routine Cardiac CT.

Identifiants

pubmed: 37865534
pii: S1934-5925(23)00433-1
doi: 10.1016/j.jcct.2023.09.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Authors declare no conflicts of interest.

Auteurs

Peter R Wheen (PR)

Department of Cardiovascular CT, Royal Brompton Hospital, London, SW3 6NP, UK. Electronic address: peter.wheen@tuh.ie.

Ben Corden (B)

Department of Cardiovascular CT, Royal Brompton Hospital, London, SW3 6NP, UK.

Sohaib M Nazir (SM)

Department of Cardiovascular CT, Royal Brompton Hospital, London, SW3 6NP, UK; School of Biomedical Engineering and Imaging Sciences, King's College, London, UK.

Michael B Rubens (MB)

Department of Cardiovascular CT, Royal Brompton Hospital, London, SW3 6NP, UK.

Thomas R Semple (TR)

Department of Cardiovascular CT, Royal Brompton Hospital, London, SW3 6NP, UK.

Edward D Nicol (ED)

Department of Cardiovascular CT, Royal Brompton Hospital, London, SW3 6NP, UK; School of Biomedical Engineering and Imaging Sciences, King's College, London, UK.

Classifications MeSH