Status:
NOT_YET_RECRUITING
Artificial Intelligent Image Processing and Diagnosis of Pulmonary Vessels in CT
Lead Sponsor:
Xin Lou
Conditions:
Radiology
Vascular Diseases
Eligibility:
All Genders
18-100 years
Brief Summary
In this study, patients with chest pain, lung cancer, pulmonary embolism, and routine inpatient physical examination were selected as the research objects, and the experimental design of retrospective...
Detailed Description
A non-enhanced plain scan CT image simulates or reconstructs an image effect similar to that of CTPA through the following technical solutions: 1. Data acquisition: Obtain plain scan CT image data of...
Eligibility Criteria
Inclusion
- Age ≥18≤100 years old Scan the pulmonary artery and its major branches Patients with suspected pulmonary embolism who received CTPA had a set of CTPA and CT scans The image quality meets the requirements of diagnosis and post-processing Patients who completed the examination in accordance with the data collection criteria Clinical data and follow-up were complete
Exclusion
- Age \<18 years or age \>100 years The image is incomplete or incorrect Pulmonary artery absent or underenhanced Severe motion artifacts or image noise affect evaluation of pulmonary embolism History of aortic reconstruction, replacement, or stent implantation Congenital variations in the whole or important branches of the aorta in adults (e.g. bovine aortic arch, abnormal right subclavian artery) Severe hypovolemia and hemodynamic instability Severe heart failure with low ejection fraction Dialysis patient
Key Trial Info
Start Date :
September 10 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
September 1 2029
Estimated Enrollment :
15000 Patients enrolled
Trial Details
Trial ID
NCT06589843
Start Date
September 10 2024
End Date
September 1 2029
Last Update
September 19 2024
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