Muscle and Fat Mass in Preoperative Computed Tomography and a Neuromuscular Blocking Agent Dose
Relationship Between Muscle and Fat Mass Using Deep-learning Approach in Preoperative Computed Tomography and a Neuromuscular Blocking Agent Dose Required for Maintaining Deep Neuromuscular Blockade in Patients Undergoing Gynecological Surgery
1 other identifier
observational
31
1 country
1
Brief Summary
Deep neuromuscular blockade has benefits in various surgical procedures and reduces postoperative pain. While neuromuscular blockade dosages are often based on the patient's actual body weight, body composition can vary significantly depending on age, gender, and individual exercise levels. Therefore, uniformly estimating neuromuscular blockade dosages based on actual body weight can result in under- or over-administered neuromuscular blocking agents. Calculating neuromuscular blockade dosage based on actual body weight can be inaccurate, but it remains due to the difficulty of accurately quantifying human muscle and fat mass. Recent advances in image analysis techniques utilizing artificial intelligence models have led to the development of methods for quantifying muscle and fat mass from computed tomography (CT). Theoretically, a higher neuromuscular blockade dosage should be required as the muscle mass increases. This study aims to analyze the relationship between neuromuscular blocking agent dosage, onset time, profound blockade time, and recovery time, and muscle mass and fat mass calculated from preoperative CT scans.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jan 2021
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 28, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2026
CompletedFirst Submitted
Initial submission to the registry
March 12, 2026
CompletedFirst Posted
Study publicly available on registry
March 17, 2026
CompletedMarch 17, 2026
March 1, 2026
2 months
March 12, 2026
March 12, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
muscle and fat mass
subject's muscle and fat mass from preoperative computed tomography images.
intraoperative period
Interventions
Neuromuscular blockade monitoring
Eligibility Criteria
Patients scheduled for elective gynecologic surgery under general anesthesia
You may qualify if:
- American Society of Anesthesiologists physical class (ASA class) 1-3
- Patients scheduled for elective gynecologic surgery under general anesthesia
- Patients undergoing abdominal computed tomography for routine preoperative preparation
You may not qualify if:
- Pregnant women
- Decreased renal function (GFR\<60mL/min/1.73m2).
- Patients taking drugs that affect deep neuromuscular blockade
- Patients with a history of neuromuscular and muscle disorders
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Seoul National University Bundang Hospital
Gyeonggi-do, Sungnamsi, 13620, South Korea
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD, PhD
Study Record Dates
First Submitted
March 12, 2026
First Posted
March 17, 2026
Study Start
January 1, 2021
Primary Completion
February 28, 2021
Study Completion
March 1, 2026
Last Updated
March 17, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share