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3D Foot Scanner Reliability for Footwear Fit and Design

Reliability of 3D Foot Scanner for Use in Diabetes Fit Evaluation and Footwear Design

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05676619
Enrollment
20
Registered
2023-01-09
Start date
2023-02-16
Completion date
2024-04-14
Last updated
2024-05-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Complications

Keywords

3D foot scan, 3D foot scanner, foot scan, reliability, repeatability

Brief summary

The investigators will carry out a proof-of-concept study in 20 adult healthy male and female volunteers in order to: assess a 3D foot scanner's reliability. Specifically, the investigators will assess its variability during repeated foot scans of the same subject's foot. Three repeated foot scans will be carried out by two different examiners to measure intrarater and interrater reliability (Intraclass Correlation Coefficient

Detailed description

Evidence of reliability is essential for use of a 3D foot scanner in diabetes footwear fit evaluation and orthopaedic footwear design. The investigators will carry out a proof-of-concept study in 20 healthy adult male and female volunteers in order to: assess the 3D foot scanner's reliability. Specifically, the investigators will assess its variability during three repeated foot scans of the same subject's foot. Three half weightbearing foot scans will be carried out by two different examiners to measure intrarater and interrater reliability (Intraclass Correlation Coefficient). The investigators will carry out a proof-of-concept study in 20 healthy adult male and female volunteers (10 each) in order to assess the Elinvision 3D foot scanner's (i) intra-rater reliability through repeated foot scans (3 times each) and (ii) inter-rater reliability of these scans as carried out by two independent examiners whilst participants are half weightbearing to establish adequate reliability (0.80+ ICC) for use in subsequent diabetes footwear fit assessment and orthopaedic footwear design and manufacture.

Interventions

DEVICE3D foot scanner

Reliability of 3D foot scanner during repeated scans

Sponsors

University Hospitals, Leicester
CollaboratorOTHER
University of Leicester
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Healthy men and women aged 18 years or over * Able to walk unaided * Able to walk up steps (the 3D scanner requires a small step on to the device to enter the correct position for measurement) * Willingness and capacity to participate in the study and to sign the informed consent form

Exclusion criteria

* Diabetes mellitus diagnosis * Inability to ambulate independently without walking aids * No obvious foot deformities * No history of foot surgery * No pain, injuries or medical conditions affecting the legs or lower back * Any issues around balance (participants must remain standing in position for the approximately fifteen seconds required to obtain the 3D scan of their feet) * Health conditions that impact foot morphology

Design outcomes

Primary

MeasureTime frameDescription
Intrarater reliability (Intraclass Correlation Coefficient) of 3D foot scans repeated at baseline (change)Repeated scans at baseline(i) Intrarater reliability (Intraclass Correlation Coefficient) based on three scans of the same subject's foot whilst half-weightbearing carried out by the same 'rater' i.e. person using the 3D foot scanner;
Interrater reliability (Intraclass Correlation Coefficient) of 3D foot scans repeated at baseline (change)Repeated scans at baseline(ii) Interrater reliability (Intraclass Correlation Coefficient) based on three scans of the same subject's foot first by one rater (as above) and then by a second rater

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026