Can 3D heart scans outperform standard ultrasound in predicting risk?
NCT ID NCT07741305
First seen Aug 03, 2026 · Last updated Aug 20, 2026 · Updated 3 times
Summary
This study compares two ultrasound techniques—2D and 3D speckle-tracking echocardiography—to see which measures heart muscle contraction more accurately in people with heart failure and reduced pumping function. Researchers will enroll 419 patients from seven cardiac rehabilitation hospitals in Italy, analyzing images with standardized equipment. The goal is to see how closely the two methods agree, what factors cause differences, and whether 3D imaging better predicts the risk of death than the standard 2D approach.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If 3D ultrasound proves more accurate, it could lead to better heart function assessment and more precise risk prediction for heart failure patients.
- What could go wrong
- This is an observational comparison, not a treatment trial. The 3D technique may not show clear advantages over the standard 2D method, and results may not change current clinical practice.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 419 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jan 2026
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients with a diagnosis of heart failure and a reduced or mildly reduced ejection fration of left ventricle
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Left ventricular ejection fraction (LVEF) ≤ 49%; * Echocardiographic image quality judged to be at least adequate according to a four-point visual image quality scale (good, adequate, poor, or inadequate) Exclusion Criteria: * Inability to maintain the correct position for acquiring echocardiographic images; * Arrhythmias that make multi-beat acquisition impossible (if required), such as frequent extrasystoles (supraventricular or ventricular) and atrial fibrillation; * Failure to visualize more than 2 segments of the left ventricle (LV), or inability to assess more than 3 segments during 3D GLS analysis; * Failure to sign the informed consent form and inability of the participant to understand the objectives of the study
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
5 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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ICS Maugeri - Istituto di Bari
RECRUITINGBari, BA, 70124, Italy
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ICS Maugeri - Istituto di Milano
RECRUITINGMilan, MI, 20138, Italy
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ICS Maugeri - Istituto di Pavia
RECRUITINGPavia, PV, 27100, Italy
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ICS Maugeri - Istituto di Veruno
RECRUITINGVeruno, 28013, Italy
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ICS Maugeri Torino
RECRUITINGTorino, TO, 10124, Italy
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- Can better training get doctors to talk about what matters most to dying veterans?
- Can AI read heart ultrasounds as well as trained sonographers?