Agreement Study on AI-assisted Smartphone-based Monitoring Tool for Difficult-to-heal Ischemic Leg Ulcers

Digital Techniques for Measuring Chronic Leg Ulcers in Peripheral Arterial Disease: Aspects of Measurement Precision and Evaluation of Wound Treatment

Status

Enrolling by invitation

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06421961

Enrollment

223

Registered

2024-05-20

Start date

2024-08-15

Completion date

2026-04-01

Last updated

2024-06-07

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

Conditions

Chronic Limb-Threatening Ischemia

Keywords

Wound Healing, Artificial Intelligence, Digital Technology

Brief summary

The purpose of the project is to investigate the agreement with Bland-Altman plots between an AI-supported automatic digital measurement method of wound area and depth and existing manual measurement methods in patients with arterial ulcers on the lower leg. The expectation is that the digital measurement tool can provide healthcare providers with better opportunities to objectively monitor and detect changes in the wound healing process in patients with peripheral arterial disease.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

OTHER

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Adults with peripheral arterial disease. * Arterial or arteriovenous ulcers on lower leg * Age \<18

Exclusion criteria

* Adults with non-ischemic ulcers, * Purely venous ulcers, * Purely traumatic wounds, * Wounds resulting from non-atherosclerotic chronic vascular conditions of the lower extremity (e.g.,vasculitis, Buerger disease, radiation arteritis),

Design outcomes

Primary

Measure	Time frame	Description
To assess the clinical agreement between two methods of measuring the depth of arterial wounds, we will utilize the Bland-Altman plot.	Wounds will be sequentially included until we achieve a sample size of 223 wounds within an estimated timeframe of 52 weeks.	The Depth of the wound will be determined using two different measurement techniques, with measurement taken during a single session. 1. Manual Depth Measurement with a Cotton Swab: A cotton swab is inserted into the wound to measure its depth. The measurement is taken at the deepest point and recorded in millimeters (mm). 2. SeeWound Method Version 1.6.4 for Research: This app utilizes lidar technology to measure the depth of the wound in millimeters (mm).
To assess the clinical agreement between two methods of measuring arterial wound size, we will utilize the Bland-Altman plot.	Wounds will be sequentially included until we achieve a sample size of 223 wounds within an estimated timeframe of 52 weeks.	The size of the wound will be determined using three different measurement techniques, with images captured during a single session. 1. Traditional Method for Area Measurement: This method utilizes a Canon EOS 700D camera and a 10 cm ruler for reference. The area is calculated using Picsara software, yielding results in square centimeters (cm²). 2. SeeWound Method Version 1.6.4 for Area Measurement with reference card: This technique employs a specialized app to calculate the wound area in square centimeters (cm²) with the reference card. 2\. SeeWound Method Version 1.6.4 for Research: This app utilizes lidar technology to measure the area in square centimeters (cm²).

Countries

Sweden

Outcome results