NCT05417373

Algorithms to Diagnose Pulmonary Arterial Hypertension

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 250 (estimated)
• Sponsor: RenJi Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Accepted

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.

Conditions

• Pulmonary Arterial Hypertension

Interventions

Type	Name	Description
OTHER	calculated radscore	The development cohort is case\_control research. The validation cohort is prospective study to test the accuracy of calculated radscore based on diagonisis model.

Timeline

• Start date: 2019-01-17
• Primary completion: 2022-12-01
• Completion: 2023-06-01
• First posted: 2022-06-14
• Last updated: 2022-06-14

Locations

1 site across 1 country: China