Muscle and Fat Mass in Preoperative Computed Tomography and a Neuromuscular Blocking Agent Dose

NCT07478120 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 31

Last updated 2026-03-17

No results posted yet for this study

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.

Conditions

  • Neuromuscular Blockade
  • Neuromuscular Blockade Monitoring

Interventions

OTHER

Neuromuscular block

Neuromuscular blockade monitoring

Sponsors & Collaborators

  • Seoul National University Bundang Hospital

    lead OTHER

Eligibility

Min Age
19 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2021-02-28
Completion
2026-03-01

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07478120 on ClinicalTrials.gov