Status:
RECRUITING
A Deep Learning Model for Blood Volume Estimation From Multi-modal Ultrasound
Lead Sponsor:
Shanghai 6th People's Hospital
Conditions:
Blood Volume Analysis
Ultrasound
Eligibility:
All Genders
18-75 years
Brief Summary
1. Background \& Rationale: Accurate assessment of a patient's blood volume (BV) status before surgery is critical for preventing perioperative complications. However, there is currently no clinic...
Eligibility Criteria
Inclusion
- Agree to join this study and sign the informed consent form;
- Age between 18 and 75 years old (inclusive);
- BMI (body mass index) is between 18 and 30 kg/m2;
- American Society of Anesthesiologists (ASA) grades I-II
Exclusion
- Preoperative hemoglobin (Hb) \<10g/dl
- Cardiac dysfunction (NYHA class III-IV), respiratory dysfunction (ATS class 2-4), history of liver and kidney dysfunction (such as transaminase / albumin / bilirubin abnormalities, hepatitis history, serum creatinine / urea nitrogen rise, etc.), nervous system abnormalities (those who cannot cooperate due to stroke or its sequelae, Alzheimer, etc.);
- The ultrasonic display of inferior vena cava, internal jugular vein, subclavian vein or common carotid artery is extremely poor, venous thrombosis or anatomical abnormalities;
- Multiple injury with chest, abdomen or brain;
- Pregnant woman
Key Trial Info
Start Date :
October 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
August 31 2027
Estimated Enrollment :
800 Patients enrolled
Trial Details
Trial ID
NCT06957587
Start Date
October 1 2025
End Date
August 31 2027
Last Update
November 17 2025
Active Locations (2)
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1
Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Shanghai, Shanghai Municipality, China, 200235
2
Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Shanghai, Shanghai Municipality, China, 200235