“The area measurements of the eKare device appear to be comparable to laser-assisted wound measurement devices, making it an option for clinicians and researchers interested in monitoring wound progression. Clinical experience indicates the eKare device has a friendly user interface, a convenient portable design, and can take quick wound-area measurements.”
“The 3-DWMD would quickly and accurately obtain the wound
area, and its measurement results were consistent with planimetry method. Therefore,
such measuring equipment has clinical reference value for measuring precision area of
the wound in the process of wound healing.”
“The 3D-WM was found to be highly reliable for measuring wound areas for a range of wound sizes and types as compared to manual measurement and scaled photography. The depth and therefore volume measurement using the 3D-WM was found to have a lower ICC, but volume ICC alone was moderate. Overall this device offers an affordable mobile option for objective wound measurement in the clinical setting.”
Note: The study involves shallow diabetic foot ulcers with average depth of approx. 1mm and may not be appropriate to evaluate depth measurement. See “Discussion” on page 5.
This study aims to determine the accuracy of a new 3-dimensional wound measurement (3DWM) device against laser-assisted wound measurement (LAWM) devices and traditional methods of wound measurement. … (D)ata demonstrate that the 3DWM device provides an accurate and reproducible method for measuring changes in wound healing similar to other available technologies. Further, the use of the 3DWM device provides a faster and more consistent measurement, which is critical for clinical application and use.
Ruler-based assessments can overestimate wound area by up to 44%. Tracing wounds using planimetry can give a better estimate of size but is time consuming and still highly variable between operators. Simple point-of-care solution that enables comprehensive 3D wound assessment on a mobile device would significantly improve the care and outcome. For this purpose we determine the feasibility of the current prototype and the implemented algorithms on phantom measurements with well know geometry in this research.
Using computer vision algorithms, we developed a mobile wound-assessment tool based on a tablet (iPad, Apple Inc.) with an attached structure sensor, which measures 3D wound dimensions at the point-of-care. The purpose of this study is to assess the performance of a point-of-care device that standardizes wound assessment.
Chronic wounds affect 6.5 million patients in the US, incurring $25 billion healthcare expenditure annually. Despite the significant clinical burden, wound care is plagued by a general lack of objective evidence to guide management. The problem stems from deficiencies in wound assessment that still relies on crude visual observation. We introduce novel computer vision techniques that will pave way towards an accurate and consistent wound assessment solution.