Development and Validation of a Radiomics-based Diagnosis Model for Pulmonary Arterial Hypertension

RenJi Hospital1 site in 1 country250 target enrollmentJanuary 17, 2019

ConditionsPulmonary Arterial Hypertension

Overview

Phase: Not Applicable
Intervention: Not specified
Conditions: Pulmonary Arterial Hypertension
Sponsor: RenJi Hospital
Enrollment: 250
Locations: 1
Primary Endpoint: DIAGONOSIS
Last Updated: 3 years ago

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

Brief Summary

The investigators intend to evalute the value of radiomics signature of pulmonary vessels from chest computed tomography (CT) for dianosis and prognosis of pulmonary arterial hypertension.

Detailed Description

Pulmonary arterial hypertension (PAH) is a heterogeneous disorder composed of varying pathobiology that may involve multiple clinical conditions. Computed tomography (CT) is a minimally invasive imaging technique capable of providing both high contrast and high resolution detail of the lungs and arteries. Application of radiomics as prognosis and diagnosis tools could quantifies high-dimensional features from CT data to investigate vescualr heterogeneity.Development and validation of PAH diagnosis Algorithms based on radiomics may serve as a complementary readout to current CT-based metrics and provide valuable evidence to make the treatment management decision in early PAH.

Registry

clinicaltrials.gov

Start Date

January 17, 2019

End Date

June 1, 2023

Last Updated

3 years ago

Study Type

Observational

Sex

All

Investigators

Sponsor

RenJi Hospital

Responsible Party

Sponsor

Eligibility Criteria

Inclusion Criteria

•Chest CT examination and cardiac ultrasound examination were performed within 3 months before and after right heart catheterization;
•mPAP \> 25mmHg and PVR\< 3woods (measured by right heart catheter) and pulmonary vascular resistance was collected as PAH group whereas Healthy Volunteers as non-PAH control group in developement corhort;
•sPAP \> 36mmHg (measured by echocardiography) was collected in validation corhort.

Exclusion Criteria

•The quality of chest CT and cardiac ultrasound images is poor; 3.Pulmonary vascular segmentation is affected by thoracic organ displacement or pulmonary vascular complete occlusion due to diseases ,such as spinal deformity.