News – AU – New method reveals the skin complications of diabetes

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22nd February 2021

from the University of Oulu

The multidisciplinary research team recently published its study “Skin Complications in Diabetes Mellitus Uncovered by Polarized Hyperspectral Imaging and Machine Learning” in the IEEE Transactions on Medical Imaging

In the paper, the researchers present a diagnostic approach using new photonics-based technologies, innovative machine learning solutions, and definitive physiological properties that can assess the skin complications of diabetes mellitus at a very early stage

In this thesis we carried out a clinical validation of our optical device and a method that we developed as part of the project of the Academy of Finland.The method enables the non-contact detection of possible skin complications in diabetes at an early stage, as well as the implementation of a comprehensive Population screenings, says associate professor Alexander Bykov of the University of Oulu, who explains the research in more detail in the answers below

We developed and performed a clinical test of a compact, portable optical device for non-contact functional characterization of human skin.The device can remotely measure spatial maps of blood oxygen and blood levels and evaluate changes in the collagen structure of the skin to achieve this , the hyperspectral imaging and polarization detection technologies are combined and accompanied by the advanced algorithms of signal processing based on the artificial neural networks

Hyperspectral imaging is a technique that combines conventional imaging and spectroscopy. Originally developed as a complex satellite or aircraft-based system, the technology has eventually evolved into a compact imaging tool that can be used for medical, industrial and other relevant applications This technology can capture both spatial and spectral information of an object.The obtained 3D image (two spatial and one spectral dimensions) consists of approximately one hundred or more spectral bands for each measured pixel of an object.This precise spectral and spatial information enables detailed analysis of each Object or any environment, on the other hand, optical polarization detection enables remote assessment of the structural changes within the object that are not visible in conventional hyperspectral imaging he neural network algorithms enable near real-time image processing based on the advanced numerical models eG, the seven-layer skin model that we use in our study

The developed system was used to reveal early changes in the skin blood microcirculation and skin structure of patients with diabetes. The back surface of the patient’s feet was imaged Control group of healthy volunteers had In addition, the diabetic group has an increased polarization index, which is attributed to the changes in the skin collagen structure.Thus, the results of the feasibility studies as well as the actual tests on patients with diabetes and healthy volunteers clearly show the ability of the developed approach to target diabetic and control groups distinguish

Early detection of early-stage skin diseases caused by diabetes is crucial In people with diabetes, high blood sugar levels damage many areas of the body such as the eyes, kidneys, legs and feet. Metabolic changes in diabetes lead to, but also affect, large arteries clogged Blood flow in small vessels of the lower extremities These changes cause complications, with diabetic foot ulcers being the main cause.It occurs in 2-6% of type 1 and 2 patients with diabetes in their lifetime. If left untreated, the diabetic ulcers can become infected and develop deep tissue necrosis that may require amputation Loss of limbs from major amputation is probably the most serious complication of diabetes, dramatically deteriorating quality of life and burdening the healthcare system. The economic cost of amputations are also enormous. Given the aging population, the number of high-risk patients will increase in the coming decade

It is known that microvascular lesions are registered as early as the early years of diabetes and even in prediabetic conditions, long before the clinical symptoms and complications appear, timely detection of the lesions, followed by appropriate treatment, allows their development Reversing in the early preclinical stage, saving health, life and money

Who is affected by the topic and the results? Where and for whom can the results be useful?

Our system may be able to monitor wound healing and treatment processes, including diabetic foot ulcers, skin burns, or postoperative complications associated with inadequate tissue oxygenation

The present study focused on diabetics A common drawback of the current methods available to doctors for diagnosing diabetic skin complications is their inability to assess tissue metabolism and determine the location of areas of the skin in a non-invasive, non-contact manner who are most likely exposed to the skin developing trophic ulcers

One way to improve the quality of diagnosis is to use hyperspectral and polarization-sensitive optical methods. Their benefits are non-invasive, high-resolution and low-cost.The use of information obtained through non-invasive optical imaging would allow patients to be at increased risk for diabetic foot syndrome and assess the areas of the lower extremities that are most prone to developing ulcerative defects

We do not see a dramatic change in current practice The proposed technique can, however, help doctors to diagnose more objectively and make decisions The technique can in the future be adapted to patient self-monitoring, which is in line with the strategy of personalized healthcare

Yes, the tests in the clinic were carried out for 20 diabetics and 20 healthy volunteers in collaboration with our colleagues from the University of Latvia who helped organize the tests

To the best of our knowledge, the current work is the first to use a hyperspectrally resolved polarization index for the in vivo investigation of diabetic skin and artificial neural networks trained by Monte Carlo to process the hyperspectral measurement data. The proposed diagnostic parameters could be used as biomarkers Serve for diabetic complications They can also be used to evaluate therapeutic procedures aimed at preventing or reversing diabetic complications.Our results can facilitate the development of biomedical applications of hyperspectral imaging and open new avenues in the study of age-related diseases

It would be of interest to carry out the tests of the developed system and data processing approach for other relevant clinical applications mentioned above. There is also great potential for the combination of fluorescence measurement and hyperspectral imaging for metabolic skin imaging, which we plan in the future

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Complications in diabetes, medicine, research

News – AU – New method reveals the skin complications in diabetes
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>> New method reveals the skin complications of diabetes

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