Actively Recruiting
Quantitative Estimation of Preoperative Blood Volume Using Multi-modal Ultrasound and Deep Learning
Led by Shanghai 6th People's Hospital · Updated on 2025-11-17
800
Participants Needed
2
Research Sites
4 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are evaluating a new deep learning model that uses ultrasound video data to estimate blood volume before surgery. This prospective, single-center observational study focuses on adult patients scheduled for surgery, aiming to provide an accurate, non-invasive way to assess blood volume, which is important to prevent complications during surgery. The study is led by Shanghai 6th People's Hospital and addresses the current lack of practical methods for direct blood volume measurement. Participants will undergo preoperative ultrasound scans capturing videos of four major blood vessels: the Internal Jugular Vein, Subclavian Vein, Inferior Vena Cava, and Common Carotid Artery. The true blood volume is calculated using a clinical method involving hemoglobin concentration changes before and after acute normovolemic hemodilution. The collected ultrasound videos will be used to train and validate a deep learning model that combines convolutional and temporal analysis techniques to estimate blood volume from the ultrasound data. During the study, participants will have ultrasound video clips taken shortly before surgery. Researchers will analyze these images alongside blood volume values determined by the clinical method. The main outcome measured is the accuracy of the blood volume estimate within 30 minutes before surgery. The study does not involve treatment changes but focuses on data collection and model validation. Participation lasts through the preoperative period up to surgery, with no additional follow-up specified.
CONDITIONS
Brief Title
A Deep Learning Model for Blood Volume Estimation From Multi-modal Ultrasound
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Agree to join this study and sign the informed consent form
- Age between 18 and 75 years old (inclusive)
- Body mass index (BMI) between 18 and 30 kg/m2
- American Society of Anesthesiologists (ASA) grades I-II
You will not qualify if you...
- Preoperative hemoglobin less than 10 g/dl
- Cardiac dysfunction classified as NYHA class III-IV
- Respiratory dysfunction classified as ATS class 2-4
- History of liver or kidney dysfunction including abnormal transaminase, albumin, bilirubin, hepatitis, elevated serum creatinine or urea nitrogen
- Nervous system abnormalities preventing cooperation such as stroke, its sequelae, or Alzheimer's disease
- Poor ultrasound image quality of the inferior vena cava, internal jugular vein, subclavian vein, or common carotid artery
- Presence of venous thrombosis or anatomical abnormalities
- Multiple injuries involving chest, abdomen, or brain
- Pregnancy
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Within 30 minutes before surgery
Participants undergo multi-modal ultrasound to estimate blood volume before surgery.
1 visit (in-person)
Trial Site Locations
Total: 2 locations
1
Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Shanghai, Shanghai Municipality, China, 200235
Not Yet Recruiting
2
Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Shanghai, Shanghai Municipality, China, 200235
Actively Recruiting
Research Team
X
xiuxiu sun, MD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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