Artificial Intelligence for Reconstruction of Echocardiography Studies

Starting soon

Conditions studied: Cardiotoxicity

In brief

To investigate the clinical utility of both 3D and 2D artificial intelligence reconstruction echocardiography (V-echo and L-echo) assessment against conventional echocardiography and clinical cardiovascular magnetic resonance (CMR) imaging for the characterisation of cardiac function and detection of cardiotoxicity in patients receiving chemotherapy. Diagnostic accuracy of V-echo and L-echo for quantification of cardiac chamber sizes and systolic function (left ventricular ejection fraction (LVEF) and strain analyses) versus conventional echocardiography (C-echo) and CMR; workflow measures including imaging temporal measures of image acquisition, registration and analysis versus conventional approaches; survey of markers of acceptability by patients and sonographers; cost effectiveness analysis of V-echo and L-echo versus conventional echocardiography; assessment of the relationship between 3D strain parameters derived from V-echo data, 2D strain parameters derived from L-echo and correlation with conventional markers of cardiac function, namely LVEF and global longitudinal strain.

Key facts

Study ID

NCT07093918

Run by

The Royal Wolverhampton Hospitals NHS Trust

People needed

120

Starts

2026-04-01

Expected to finish

2030-11-01

Last updated by the study team

2026-02-11

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Aged 18 years or older
• Received potentially cardiotoxic chemotherapy
• Participant requires echocardiography surveillance as standard current practice

You may not qualify if…

• Below the age of 18 years old
• Inability to give informed consent
• Implanted cardiac devices
• Not having received cardiotoxic chemotherapy. Ineligible patients and patients not wishing to take part will be excluded, the reasons for this will be recorded and baseline CONSORT demographics noted including age, gender, ethnicity.

Full record on ClinicalTrials.gov

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