Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care: Study 2

NCT06646133 | Withdrawn

• 1 other identifier: 1791994(2)
• Study Type: observational
• Target: N/A
• Locations: 1 country
• Sites: 1

Brief Summary

The goal of this prospective crossover simulation study is to evaluate the accuracy and usability of a 3D camera weight estimation system during simulated emergency care in adult simulated patients, when used by emergency physicians. The main questions the study aims to answer are:

• to evaluate the accuracy of 3D camera weight estimation during simulated emergency care, when compared with standard methods
• to evaluate the usability of 3D camera weight estimation during emergency care, when compared with standard methods
• to evaluate the inter-user reliability of 3D camera weight estimates Volunteers for simulated patients will be required to have anthropometric measurements, a DXA scan, and 3D camera weight estimates. Physician volunteers will need to participate in simulated emergency scenarios during which weight-based therapy must be administered. There will be no interventions.

Conditions

Body Weights and Measures; Weight Estimation; Emergency Drug Dosing; Body Weight in the Overweight and Obese Class - I Population

Keywords

weight estimation; emergency drug dosing; 3D camera; computer vision

Outcome Measures

Primary Outcomes (3)

• Weight estimation accuracy

  The accuracy of estimations of total body weight, ideal body weight and lean body weight will be compared against ground truth data, and against other weight estimation systems.

  During the simulation (intervention) procedure

• Weight estimation time

  The time taken to obtain a weight estimate will be compared against other weight estimation systems.

  During the simulation (intervention) procedure

• Drug dose accuracy

  The accuracy of drug doses calculated using estimated weight will be compared against a ground truth value, and compared with other weight estimation systems.

  During the simulation (intervention) procedure

Study Arms (2)

Standard care weight estimation

Simulated patients in whom standard methods of weight estimation will be used.

Diagnostic Test: Standard methods of weight estimation

3D camera weight estimation

Simulated patients in whom 3D camera estimates of weight will be used.

Diagnostic Test: 3D camera weight estimate

Interventions

Standard methods of weight estimation DIAGNOSTIC_TEST

Standard methods of weight estimation will be used

Standard care weight estimation

3D camera weight estimate DIAGNOSTIC_TEST

Weight estimation using 3D camera system

3D camera weight estimation

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Simulated patients will be enrolled from students, staff and faculty at the Boca Raton campus of Florida Atlantic university. Emergency physician participants will be enrolled from resident and attending emergency physicians in south Florida.

You may qualify if:

• Any volunteer aged ≥18 years.

You may not qualify if:

• Participants with a body weight exceeding the DXA machine capacity \>204kg (450lbs);
• Pregnant participants; participants with medical conditions that could confound the study;
• Participants with any metallic surgical implants;
• Participants who have had an x-ray with contrast in the past week;
• Participants who have taken calcium supplements in the 24 hours prior to the study.
• \- Any willing emergency medicine resident or attending physician.
• \- Any physical limitation to performing anthropometric measurements as part of simulation scenario.

Sponsors & Collaborators

• Florida Atlantic University: lead

Study Sites (1)

Florida Atlantic University

Boca Raton, Florida, 33143, United States

Location

Related Publications (6)

• Wells M, Goldstein L. Appropriate Statistical Analysis and Data Reporting for Weight Estimation Studies. Pediatr Emerg Care. 2023 Jan 1;39(1):62-63. doi: 10.1097/PEC.0000000000002862. Epub 2022 Oct 1. No abstract available.

  PMID: 36190388 BACKGROUND

• Wells M, Goldstein LN, Cattermole G. Development and Validation of a Length- and Habitus-Based Method of Ideal and Lean Body Weight Estimation for Adults Requiring Urgent Weight-Based Medical Intervention. Eur J Drug Metab Pharmacokinet. 2022 Nov;47(6):841-853. doi: 10.1007/s13318-022-00796-3. Epub 2022 Sep 19.

  PMID: 36123560 BACKGROUND

• Wells M, Goldstein LN. Estimating Lean Body Weight in Adults With the PAWPER XL-MAC Tape Using Actual Measured Weight as an Input Variable. Cureus. 2022 Sep 17;14(9):e29278. doi: 10.7759/cureus.29278. eCollection 2022 Sep.

  PMID: 36277563 BACKGROUND

• Wells M, Henry B, Goldstein L. Weight Estimation for Drug Dose Calculations in the Prehospital Setting - A Systematic Review. Prehosp Disaster Med. 2023 Aug;38(4):471-484. doi: 10.1017/S1049023X23006027. Epub 2023 Jul 13.

  PMID: 37439214 BACKGROUND

• Wells M, Goldstein LN, Alter SM, Solano JJ, Engstrom G, Shih RD. The accuracy of total body weight estimation in adults - A systematic review and meta-analysis. Am J Emerg Med. 2024 Feb;76:123-135. doi: 10.1016/j.ajem.2023.11.037. Epub 2023 Nov 29.

  PMID: 38056057 BACKGROUND

• Wells M, Goldstein LN, Wells T, Ghazi N, Pandya A, Furht B, Engstrom G, Jan MT, Shih R. Total body weight estimation by 3D camera systems: Potential high-tech solutions for emergency medicine applications? A scoping review. J Am Coll Emerg Physicians Open. 2024 Oct 4;5(5):e13320. doi: 10.1002/emp2.13320. eCollection 2024 Oct.

  PMID: 39371964 BACKGROUND

MeSH Terms

Conditions

Body Weight

Condition Hierarchy (Ancestors)

Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: CASE CROSSOVER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 15, 2024
• First Posted: October 17, 2024
• Study Start (Estimated): July 1, 2027
• Primary Completion (Estimated): February 28, 2028
• Study Completion (Estimated): February 28, 2028
• Last Updated: December 19, 2025

Record last verified: 2025-12

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL
• Time Frame: Within 6 months after the completion of the study.

Locations

US (1)