ClinicalTrials.gg
CompletedNCT02700737Updated Oct 31, 2016

Evaluation of Image-Based Modelling on Clinical Decisions in Coarctation of the Aorta

An interventional study of Image-based simulation modelling and Imaging parameters currently recommended by clinical practice guidelines in Congenital Heart Disease, Aortic Coarctation and Cardiovascular Disease, sponsored by London School of Economics and Political Science. Completed at 1 site in United Kingdom. Per ClinicalTrials.gov, last updated 2016-10-31.

Primary conditionAortic CoarctationRegistry: Heart Defects, CongenitalReclassifiedWhy we changed it
Registry
Heart Defects, Congenital — the first condition term the registry derived for this study.
ClinicalTrials.gg
Aortic Coarctation
Why
  1. The study's listed conditions name Aortic Coarctation, a narrower term within Heart Defects, Congenital.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by London School of Economics and Political Science · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
206
Allocation
Randomized
Sex
All
01

Study summary

To answer the research question: "Would image-based modelling result in different clinical decisions as compared to clinical practice guidelines?", we will conduct a randomized controlled experiment in which we will compare the hypothetical decisions made by interventional cardiologists who are presented with imaging parameters currently recommended by clinical practice guidelines vs. hypothetical decisions made by interventional cardiologists receiving an expanded list of parameters, including simulation modelling.

Read the detailed description

In collaboration with our three clinical partners, we will first generate two separate imaging datasets for a maximum of three patients recruited to participate in CARDIOPROOF. The first dataset will include the imaging parameters currently recommended by clinical practice guidelines (referred to as "limited dataset"). The second dataset will include an expanded list of parameters, inclusive of information that is available from traditional imaging parameters (as recommended by the guidelines) and simulation modeling (referred to as "image-based modelling dataset").

We will generate both limited and image-based modelling datasets from fully de-identified patients already enrolled in CARDIOPROOF (NCT02591940) who have consented to publication of data in anonymized form.

Using a computerized random-sample function, we will randomly allocate interventional cardiologists into two separate groups and present them with one set of imaging data. The first group will receive a "limited" dataset including only information that is available from traditional diagnostics (as recommended by the clinical practice guidelines) for a pre-specified number of patients (maximum of 3). The second group will receive the full, detailed dataset inclusive of information that is available from traditional diagnostics (as recommended by the guidelines) and simulation modelling for the same set of patients.

We will then ask the interventional cardiologists in the two groups to make (hypothetical) clinical decisions using the dataset of imaging parameters presented to them. The clinical decisions will be hypothetical because patients will have been treated according to clinical practice guidelines and this experiment will retrospectively involve interventional cardiologists who are not directly involved in the care of the patients participating in CARDIOPROOF.

The analysis will focus on each hypothetical scenario and compare the proportions of cardiologists making different types of intervention decisions in the two randomly allocated groups.

02

Conditions studied

  • Congenital Heart Disease
  • Aortic Coarctation
  • Cardiovascular Disease

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Keywords

  • cardiovascular modeling
  • aortic coarctation
  • virtual stenting
03

In context

Aortic Coarctation Reclassified

49 studies on the registry are indexed under Aortic Coarctation; 16 are open to participants now.

This study's enrollment of 206 is above the median of 45 across 19 interventional studies indexed under Aortic Coarctation.

Browse Aortic Coarctation studies →

Lead sponsor

London School of Economics and Political Science is the lead sponsor of 14 studies on the registry; 3 are open to participants now.

Compared within Aortic Coarctation, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Heart Defects, Congenital. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Practicing interventional cardiologists
  • Has treated patients with coarctation of the aorta during the past 6 months

Exclusion criteria

Exclusion Criteria:

  • Participation in CARDIOPROOF trial
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
206 participants (actual)

Study arms

  • Active comparator
    Group A

    Interventional cardiologists presented with "limited" dataset including only information that is available from imaging parameters currently recommended by clinical practice guidelines.

    Other: Imaging parameters currently recommended by clinical practice guidelines

  • Experimental
    Group B

    Interventional cardiologists presented with the full dataset, including imaging parameters currently recommended by clinical practice guidelines and image-based simulation modelling.

    Other: Image-based simulation modelling · Other: Imaging parameters currently recommended by clinical practice guidelines

Interventions

  • OtherImage-based simulation modelling

    The first dataset will include the imaging parameters currently recommended by clinical practice guidelines (referred to as "limited dataset").

  • OtherImaging parameters currently recommended by clinical practice guidelines

    The second dataset will include an expanded list of parameters, inclusive of information that is available from traditional imaging parameters (as recommended by the guidelines) and simulation modeling (referred to as "image-based modelling dataset").

06

What researchers measure

Primary outcomes

  1. Decision to intervene

    Our primary outcome of interest in this randomized experiment will be 'decision to intervene' by cardiologists evaluating imaging data obtained from patients with aortic coarctation. Interventional cardiologists will be asked the following question: Based on the information presented to you, would you intervene in this patient now? Please provide a yes/no answer.

    Time frame: Immediate

07

Study locations

1 site
  • London School of Economics and Political Science
    London, United Kingdom
08

References and documents

Publications

  • Naci H, Salcher-Konrad M, Mcguire A, Berger F, Kuehne T, Goubergrits L, Muthurangu V, Wilson B, Kelm M. Impact of predictive medicine on therapeutic decision making: a randomized controlled trial in congenital heart disease. NPJ Digit Med. 2019 Mar 19;2:17. doi: 10.1038/s41746-019-0085-1. eCollection 2019. PubMed 31304365 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
Not marked actual or estimatedDates not marked actual or estimated

The record gives a start of May 2016, a primary completion of Aug 2016 and a completion of Aug 2016. It does not say whether these dates are actual or estimated.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 11, 2015
First posted
Mar 7, 2016
Start
May 2016
Primary completionActual
Aug 2016
CompletionActual
Aug 2016
Last update
Oct 31, 2016
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Oct 31, 2016, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02700737
Lead sponsor
London School of Economics and Political Science
Collaborators
German Heart Institute, Bambino Gesù Hospital and Research Institute, University College, London
Responsible party
Huseyin Naci (Assistant Professor, London School of Economics and Political Science) — Principal investigator
First posted
Mar 7, 2016
Start date
May 2016
Primary completion
Aug 2016
Completion
Aug 2016
Last update
Oct 31, 2016

Study contacts

Huseyin Naci, PhD
principal investigator · London School of Economics and Political Science

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Oct 2016. You cannot join it, but the record below documents what was studied.

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