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The combination of metabolomics and AI imaging recognition in building a predictive model for pulmonary embolism

The combination of metabolomics and AI imaging recognition in building a predictive model for pulmonary embolism

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200062335
Enrollment
Unknown
Registered
2022-08-02
Start date
2022-08-01
Completion date
Unknown
Last updated
2023-04-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary embolism

Interventions

PE group:None
Control group:none

Sponsors

Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Pulmonary Embolism Group: 1. aged from 18 to 80 years old, both sex; 2. the diagnosis of pulmonary embolism was confirmed (meets one of the criterions): (A) CTPA shows pulmonary artery filling defect. (B) V/Q scan shows the high possibility Control Group: 1. aged from 18 to 80 years old, both sex; 2. the diagnosis of pulmonary embolism was suspected (meets one of the criterions): (A) An elevated D-dimer level in serum was found, accompanied by clinical manifestations related to pulmonary embolism, such as chest pain, chest distress or syncope. (B)The vascular ultrasound of lower extremities revealed abnormal and the diagnosis of deep vein thrombosis (DVT) was made, which was confirmed by physicians.

Exclusion criteria

Exclusion criteria: Patients were excluded if they could not do examinations,or could not provide informed consent.

Design outcomes

Primary

MeasureTime frame
mass spectrometric detection;blood RT;Coagulation Tests;CTPA;leg ultrasound;Ventilation/perfusion imaging;Myocardial enzymes;Troponin;simplified Pulmonary Embolism Severity Index;transthoracic echocardiogram;NT-proBNP;

Countries

China

Contacts

Public ContactGu Wen
guwen@xinhuamed.com.cn+86 13621892405

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026