Observational Study for Feasibility and Performance of Sub-millisievert Coronary Computed Tomography Angiography (CCTA) for Coronary Artery Anomalies (CAA) in Paediatric Patients

NCT ID: NCT03194763

Last Updated: 2019-05-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-07-01

Study Completion Date

2018-03-31

Brief Summary

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Congenital heart defects are the most frequent manifestation of congenital diseases (8 per 1000 live births). Imaging modalities play an increasing role in their diagnosis, follow-up, and pre/post-surgery check-up. Echocardiography usually provides a first line diagnosis, but Coronary CT Angiography (CCTA) also demonstrated its usefulness whenever accurate modelling of anatomic structures is required.

CCTA is well defined for adult patients. This is not the case for paediatric population, which rises two main difficulties:

* The use of ionising radiation in young subjects involves a very radio-sensitive population, potentially subject to multiple exams during their follow up.
* Technical issues related to young patients: No breath-holding, uncontrolled movements during acquisition, very high heart rates (making ECG gating more complex) and very small structures.

These conditions usually result in a deteriorated image quality or in radiation dose increase (retrospective gating). These two outcomes are not acceptable for both, clinician and patient.

In this study, investigators make the hypothesis that despite difficult conditions stated above, ultra-low dose acquisitions may results in diagnostic quality acquisition, thanks to state of art CT technologies combined with acquisition parameters specially designed for that purpose.

Investigators aim to demonstrate feasibility and performances of such exams.

Detailed Description

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Fifty paediatric patients are to be enrolled in this study. All these patients were prescribed a coronary angiography CT as part of their follow up for a known or suspected coronary artery anomaly.

Computed Tomography acquisitions are performed on a Revolution CT (GE Healthcare) using a wide detector aperture (160 mm), last generation of iterative reconstruction algorithm and specific reconstruction software reducing cardiac motion artefacts. A rotation time of 0.28 sec is used, with a slice thickness of 0.625 mm and a 0.625 mm reconstruction interval. The acquisition is ECG-gated (prospective) with kV and mAs depending on BMI, heart rate and heart rate variability of patients.

Conditions

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Coronary Artery Anomaly, Congenital

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Interventions

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coronary angiography

computed tomography acquisitions performed on a revolution CT

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Patients from 0 to 18 years old
* Known or suspected coronary artery anomalies
* CCTA prescribed for regular follow up of the pathology
* No-objection of parents/legal representative of the patient
* Covered by social security
Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Montpellier

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Pediatric and Congenital Cardiology and Pulmonology Department, Arnaud De Villeneuve University Hospital

Montpellier, , France

Site Status

Countries

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France

References

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Le Roy J, Vernhet Kovacsik H, Zarqane H, Vincenti M, Abassi H, Lavastre K, Mura T, Lacampagne A, Amedro P. Submillisievert Multiphasic Coronary Computed Tomography Angiography for Pediatric Patients With Congenital Heart Diseases. Circ Cardiovasc Imaging. 2019 Feb;12(2):e008348. doi: 10.1161/CIRCIMAGING.118.008348.

Reference Type BACKGROUND
PMID: 30704282 (View on PubMed)

Other Identifiers

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9785

Identifier Type: -

Identifier Source: org_study_id

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