pulmonary embolism
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1.Age >=18 years. 2. Underwent a routine non-contrast chest CT examination at a participating center during the study period. 3. Judged as positive by the version-locked artificial intelligence model.
Exclusion criteria
Exclusion criteria: 1. A definite diagnosis of pulmonary embolism was made prior to the enrolled examination, and the current examination does not represent a new opportunistic screening scenario. 2. The examination was performed primarily with suspected pulmonary embolism as the main purpose, or the patient had already been clearly entered into a confirmatory diagnostic pathway for pulmonary embolism. 3. The baseline examination images have severe motion artifacts, metal artifacts, data corruption, or clearly insufficient scan coverage, rendering reliable artificial intelligence inference impossible. 4. Severe lack of imaging or clinical data prevents completion of the basic verification process.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Overall positive predictive value of AI?positive cases; | — |
Secondary
| Measure | Time frame |
|---|---|
| Imaging-confirmed positive predictive value;Expert-adjudicated positive predictive value;Positive predictive value (PPV) in different clinical scenarios and high-risk subgroups;Model performance across different centers and scanning conditions; | — |
Countries
China
Contacts
The First Affiliated Hospital of Zhejiang University School of Medicine