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Artificial intelligence auxiliary electrical impedance tomography imaging of pulmonary perfusion assessment of the development of new methods and clinical application research

Artificial intelligence auxiliary electrical impedance tomography imaging of pulmonary perfusion assessment of the development of new methods and clinical application research

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300075659
Enrollment
Unknown
Registered
2023-09-12
Start date
2023-09-13
Completion date
Unknown
Last updated
2023-09-18

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

Conditions

pulmonary perfusion

Interventions

Normal ventilation group:None
Control group (hypertonic saline group):None

Sponsors

Affiliated Hospital of Southwest Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1: ICU patients receiving mechanical ventilation with stable circulation or post-operation patients 2: age?[18,80] 3: Central Venous Catheterization& chest CT

Exclusion criteria

Exclusion criteria: 1: Respiratory complications: pneumothorax, pleural effusion, pericardial effusion, chronic obstructive pulmonary disease, acute respiratory distress syndrome, primary/secondary pulmonary hypertension, and suspected pulmonary embolism 2: Patients with recent cardiac and thoracic surgery and impaired chest wall integrity 3: Obese patients with a BMI greater than 30 kg/m2 4: Placement of patients with potential electrical interference such as temporary or permanent cardiac pacemakers 5: Significant electrolyte disturbances: hypernatremia, hyperchloremia, hypokalemia, etc 6: Patients with coagulation disorders and a tendency to hemolysis 7: Patients with spontaneous breathing

Design outcomes

Primary

MeasureTime frame
relative pulnonary perfusion;

Countries

China

Contacts

Public ContactLei Xianying

Affiliated Hospital of Southwest Medical University

leixianying310@swmu.edu.cn+86 133 2074 1667

Outcome results

None listed

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