Analysis of Clinical featuRes and Echocardiographic Characteristics for Diagnosis of Infiltrative cardiomyopaThy (ACREDIT): Retrospective Multi-center Observational Study
NCT05108168 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500
Last updated 2021-11-04
Summary
This study sought to develop an algorithm by collecting echocardiographic image information and related clinical information capable of quantitatively evaluating changes of the myocardium through machine learning. Moreover, the researchers investigate the usefulness of an algorithm for early diagnosis and differential diagnosis of infiltrative cardiomyopathy.
Conditions
- Infiltrative Cardiomyopathy
Sponsors & Collaborators
-
Yonsei University
lead OTHER
Principal Investigators
-
Hyuk-jae Chang · Yonsei University Health System, Severance Hospital, Division of Cardiology
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-01-04
- Primary Completion
- 2021-12-16
- Completion
- 2021-12-31
Countries
- South Korea
Study Locations
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