Pulmonary Arterial Hypertension
Conditions
Keywords
Pulmonary Arterial Hypertension, Diagnosis Model, Prediction Algorithm
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.
Interventions
OTHERcalculated 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.
Sponsors
Shanghai Zhongshan Hospital
The First Affiliated Hospital with Nanjing Medical University
Xinqiao Hospital of Chongqing
Shanghai Pulmonary Hospital, Shanghai, China
RenJi Hospital
Study design
Observational model
OTHER
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes
Inclusion criteria
1. Chest CT examination and cardiac ultrasound examination were performed within 3 months before and after right heart catheterization; 2. 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; 3. sPAP \> 36mmHg (measured by echocardiography) was collected in validation corhort.
Exclusion criteria
1.Cancer; 2. 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| DIAGONOSIS | 1 year | The patient is diagnosed PAH or not by right heart catheter |
Countries
China
Contacts
Primary ContactJieyan Shen, PhD
Outcome results
None listed