MedTrace Logo

Pediatric Ventricle Function Assessment Study

NCT06739057 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 3993

Last updated 2024-12-20

No results posted yet for this study

Summary

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.

Conditions

  • RV - Right Ventricular Abnormality
  • LV Dysfunction
  • Pulmonary Hypertension
  • TOF

Sponsors & Collaborators

  • HBI Solutions Inc.

    lead INDUSTRY

Eligibility

Max Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2014-01-01
Primary Completion
2024-08-31
Completion
2024-08-31

Countries

  • United States

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06739057 on ClinicalTrials.gov