Introduction: Wound management is a challenge in terms of the way, duration and cost of treatment both for the patient and health providers. The healing of skin wounds is a highly multi-step coordinated process. Objective monitoring of treatment at every stage is necessary to assess the applied therapy.
Aim: To show the possibility of using the AutoCad software (ACS) as a tool with a slight measurement error for accurate measurement of the venous leg ulcers on the lower limbs.
Material And Methods: To determine the error of the measurement method Circle Templates For Drafting for four different sizes were used as ulcer models. Seventy-six wounds of various sizes from patients with venous leg ulcers (VLUs) were photographed and outlined with a marker on a transparent foil. The wounds were measured both using ACS and digital planimetry with C-Geo software (CGS). Data were analysed using Wilcoxon test, intraclass correlation coefficient (ICC) and Bland-Altman analysis.
Results: The mean relative error of the surface wound model area measured by the ACS was 0.30 ±0.31% (range: 0.004-1.25) and a median of 0.18%. Areas and perimeters measured with ACS were higher than areas and perimeters measured with CGS, and the difference was statistically significant.
Conclusions: The analysis of the wound images obtained in the ACS showed a very high potential of the software in terms of the accuracy of the analysed areas, which significantly increases the possibility of the analysis and reduces the measurement error in relation to planimetry using a digital digitizer.
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http://dx.doi.org/10.5114/ada.2023.129326 | DOI Listing |
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Institut für Pharmazeutische Chemie, Goethe-University Frankfurt, Biozentrum, Max-von-Laue-Str. 9, 60438 Frankfurt am Main, Germany.
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State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
J Racial Ethn Health Disparities
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Center for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Recent research shows a significant link between race-ethnicity and income concentration and premature death rates in the U.S. However, most studies focus on Black-White residential concentration, overlooking racial-ethnic diversity.
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Emory University School of Medicine, Atlanta, GA, USA.
Background: The extracellular amyloid plaques, one of the pathological hallmarks of Alzheimers Disease (AD), are frequently also observed in the cortex of cognitively unimpaired subjects or as co-pathology in other neurodegenerative diseases. Progressive deposition of fibrillar amyloid-β (Aβ) as amyloid plaques for two decades prior disease onset leads to extensive isomerization of Aβ N-terminus. Quantifying the extent of isomerized Aβ can be provide insight into the different stages of amyloidosis in the brain.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Portable sensor technologies are indispensable in personalized healthcare and environmental monitoring as they enable the continuous tracking of key analytes. Human sweat contains valuable physiological information, and previously developed noninvasive sweat-based sensors have effectively monitored single or multiple biomarkers. By successfully detecting biochemicals in sweat, portable sensors could also significantly broaden their application scope, encompassing non-biological fluids commonly encountered in daily life, such as mineral water.
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