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NCT06739057Completed

Pediatric Ventricle Function Assessment Study

Source: ClinicalTrials.gov · Last updated 20 Dec 2024

Brief summary (registry, in English)

This study aims to develop a deep learning-based framework for right ventricular (RV) segmentation, prediction of RV fractional area change (FAC), and identification of pediatric RV dysfunction. The AI model was designed to distinguish between normal pediatric hearts, pulmonary hypertension (PH), and Tetralogy of Fallot (TOF). To improve diagnostic accuracy, the investigators extended the analysis beyond the A4C view by integrating data from both A4C and PSAX views. Additionally, the framework was applied to predict left ventricular ejection fraction (LV EF), further showcasing its versatility and clinical utility.

Status (registry)
Completed
Study type
Observational
Enrollment
3993 (actual)
First submitted
12 Dec 2024
Start date
1 Jan 2014
Primary completion date
31 Aug 2024
Lead sponsor
HBI Solutions Inc.
NCT number
NCT06739057

What you commit to

  • Study type: Observational
  • Participants enrolled: 3993
  • From 1 Jan 2014 to the primary completion date, 31 Aug 2024
  • 1 site in 1 country
  • Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Other

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Who the study is looking for

  • Patients aged 0-18 years old.
  • Patients with the following diagnoses (defined as abnormal RVs): premature infants with lung disease, congenital heart disease with systemic right ventricles, surgically repaired congenital heart disease resulting in pressure and/or volume load on the RV (tetralogy of Fallot, Double outlet right ventricle, etc.), and idiopathic pulmonary hypertension.

Age in the registry: - to 18 years · Sex: All · Accepts healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.

SiteCityCountrySite status
Stanford University
Coordinator of this site? Confirm its status
Palo AltoUnited StatesUnknown status

This page is information, not medical advice. Discuss any trial with your doctor.