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.
Study Type
OBSERVATIONAL
Enrollment
223
Sahlgrenska University Hospital
Gothenburg, Sweden
To assess the clinical agreement between two methods of measuring arterial wound size, we will utilize the Bland-Altman plot.
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).
Time frame: Wounds will be sequentially included until we achieve a sample size of 223 wounds within an estimated timeframe of 52 weeks.
To assess the clinical agreement between two methods of measuring the depth of arterial wounds, we will utilize the Bland-Altman plot.
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).
Time frame: Wounds will be sequentially included until we achieve a sample size of 223 wounds within an estimated timeframe of 52 weeks.
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