Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension (AIPHY)
Artificial Intelligence-Assisted Evaluation of Pulmonary Hypertension
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Zhihong Liu, MD, PhD
- Phone Number: 13269276067
- Email: zhihongliufuwai@163.com
Study Locations
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-
Beijing
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Beijing, Beijing, China, 100037
- Recruiting
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
-
Contact:
- Zhihong Liu, MD, PhD
- Phone Number: 13269276067
- Email: zhihongliufuwai@163.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age ≥18 years old
- Patients previously received chest X-ray, electrocardiography, echocardiography, other routine examinations, and RHC at the Fuwai Hospital, CAMS & PUMC, Beijing, China
Exclusion Criteria:
- Patients without RHC
- The quality of routine examinations and RHC cannot meet the requirement for further analysis
- Severe loss of results of routine examinations (chest X-ray, electrocardiography, echocardiography, etc.)
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Retrospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Patients with pulmonary hypertension
A series of routine examinations, including chest X-ray, electrocardiography, echocardiography, etc, would be performed on consecutive patients at Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
An RHC with an mPAP of >20 mmHg would confirm the diagnosis of PH.
All these data will be collected as a source for machine learning or other artificial intelligence-assisted programs.
|
RHC is commonly used essential test to make gold-standard diagnosis of PH with mPAP >20 mmHg.
All multimodal data from patients eligible for inclusion would be randomly assigned to development datasets (70% of the study population) to train the artificial intelligence models for the detection of PH, which would be validated and tested by other datasets (30% of the study population).
|
|
Patients without pulmonary hypertension
A series of routine examinations, including chest X-ray, electrocardiography, echocardiography, etc, would be performed on consecutive patients at Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
An RHC with an mPAP of ≤20 mmHg would confirm the absence of PH.
All these data will be collected as a source for machine learning or other artificial intelligence-assisted programs.
|
RHC is commonly used essential test to make gold-standard diagnosis of PH with mPAP >20 mmHg.
All multimodal data from patients eligible for inclusion would be randomly assigned to development datasets (70% of the study population) to train the artificial intelligence models for the detection of PH, which would be validated and tested by other datasets (30% of the study population).
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of diagnosis by artificial intelligence-assisted algorithm
Time Frame: Baseline
|
The investigators will calculate the area under the receiver operating characteristic curve of diagnosis by artificial intelligence-assisted algorithm and compare this index between artificial intelligence-assisted algorithm and RHC.
|
Baseline
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity of diagnosis by artificial intelligence algorithm
Time Frame: Baseline
|
The investigators will calculate the sensitivity of diagnosis by artificial intelligence-assisted algorithm and compare this index between artificial intelligence-assisted algorithm and RHC.
|
Baseline
|
|
Specificity of diagnosis by artificial intelligence algorithm
Time Frame: Baseline
|
The investigators will calculate the sensitivity of diagnosis by artificial intelligence-assisted algorithm and compare this index between artificial intelligence-assisted algorithm and RHC.
|
Baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Zhihong Liu, MD, PhD, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- AIPHY Project
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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