Thermal imaging in total knee replacement and its relation with inflammation markers
Total knee replacement is an end-stage surgical treatment of osteoarthritis patients to improve their quality of life. The study presents a thermal imaging-based approach to assess the recovery of operated-knees. The study focuses on the potential of thermal imaging for total knee replacement and it...
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2021
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oai:doaj.org-article:40863ac1693b4c36a4969f1fab4e8fd72021-11-23T02:41:57ZThermal imaging in total knee replacement and its relation with inflammation markers10.3934/mbe.20213851551-0018https://doaj.org/article/40863ac1693b4c36a4969f1fab4e8fd72021-09-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021385?viewType=HTMLhttps://doaj.org/toc/1551-0018Total knee replacement is an end-stage surgical treatment of osteoarthritis patients to improve their quality of life. The study presents a thermal imaging-based approach to assess the recovery of operated-knees. The study focuses on the potential of thermal imaging for total knee replacement and its relation with clinical inflammatory markers. A total of 20 patients with bilateral knee replacement were included for thermal imaging and serology, where data was acquired on pre-operative day and five post-operative days. To quantify the inflammation, the temperature-based parameters (like mean differential temperature, relative percentage of raised temperature) were evaluated from thermal images, while the clinically proven inflammation markers were obtained from blood samples for clinical validation. Initially, the knee region was segmented by applying the automatic method, subsequently, the mean skin temperature was calculated and investigated for a statistical relevant relationship with inflammatory markers. After surgery, the mean skin temperature was first increased (>2.15 ℃ for different views) then settled to pre-operative level by 90th day. Consequently, the mean differential temperature showed a strong correlation with erythrocyte sedimentation rate (r > 0.893) and C-reactive protein (r > 0.955). Also, the visual profile and relative percentage of raised temperature showed promising results in quantifying the temperature changes both qualitatively and quantitatively. This study provides an automatic and non-invasive way of screening the patients for raised levels of skin temperature, which can be a sign of inflammation. Hence, the proposed temperature-based technique can help the clinicians for visual assessment of post-operative recovery of patients.Viney LohchabJaspreet SinghPrasant MahapatraVikas Bachhal Aman HoodaKaran Jindal MS DhillonAIMS Pressarticleimage analysisinflammatory markersnon-invasive assessmentskin temperaturethermal imagingBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 7759-7773 (2021) |
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image analysis inflammatory markers non-invasive assessment skin temperature thermal imaging Biotechnology TP248.13-248.65 Mathematics QA1-939 |
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image analysis inflammatory markers non-invasive assessment skin temperature thermal imaging Biotechnology TP248.13-248.65 Mathematics QA1-939 Viney Lohchab Jaspreet Singh Prasant Mahapatra Vikas Bachhal Aman Hooda Karan Jindal MS Dhillon Thermal imaging in total knee replacement and its relation with inflammation markers |
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Total knee replacement is an end-stage surgical treatment of osteoarthritis patients to improve their quality of life. The study presents a thermal imaging-based approach to assess the recovery of operated-knees. The study focuses on the potential of thermal imaging for total knee replacement and its relation with clinical inflammatory markers. A total of 20 patients with bilateral knee replacement were included for thermal imaging and serology, where data was acquired on pre-operative day and five post-operative days. To quantify the inflammation, the temperature-based parameters (like mean differential temperature, relative percentage of raised temperature) were evaluated from thermal images, while the clinically proven inflammation markers were obtained from blood samples for clinical validation. Initially, the knee region was segmented by applying the automatic method, subsequently, the mean skin temperature was calculated and investigated for a statistical relevant relationship with inflammatory markers. After surgery, the mean skin temperature was first increased (>2.15 ℃ for different views) then settled to pre-operative level by 90th day. Consequently, the mean differential temperature showed a strong correlation with erythrocyte sedimentation rate (r > 0.893) and C-reactive protein (r > 0.955). Also, the visual profile and relative percentage of raised temperature showed promising results in quantifying the temperature changes both qualitatively and quantitatively. This study provides an automatic and non-invasive way of screening the patients for raised levels of skin temperature, which can be a sign of inflammation. Hence, the proposed temperature-based technique can help the clinicians for visual assessment of post-operative recovery of patients. |
format |
article |
author |
Viney Lohchab Jaspreet Singh Prasant Mahapatra Vikas Bachhal Aman Hooda Karan Jindal MS Dhillon |
author_facet |
Viney Lohchab Jaspreet Singh Prasant Mahapatra Vikas Bachhal Aman Hooda Karan Jindal MS Dhillon |
author_sort |
Viney Lohchab |
title |
Thermal imaging in total knee replacement and its relation with inflammation markers |
title_short |
Thermal imaging in total knee replacement and its relation with inflammation markers |
title_full |
Thermal imaging in total knee replacement and its relation with inflammation markers |
title_fullStr |
Thermal imaging in total knee replacement and its relation with inflammation markers |
title_full_unstemmed |
Thermal imaging in total knee replacement and its relation with inflammation markers |
title_sort |
thermal imaging in total knee replacement and its relation with inflammation markers |
publisher |
AIMS Press |
publishDate |
2021 |
url |
https://doaj.org/article/40863ac1693b4c36a4969f1fab4e8fd7 |
work_keys_str_mv |
AT vineylohchab thermalimagingintotalkneereplacementanditsrelationwithinflammationmarkers AT jaspreetsingh thermalimagingintotalkneereplacementanditsrelationwithinflammationmarkers AT prasantmahapatra thermalimagingintotalkneereplacementanditsrelationwithinflammationmarkers AT vikasbachhal thermalimagingintotalkneereplacementanditsrelationwithinflammationmarkers AT amanhooda thermalimagingintotalkneereplacementanditsrelationwithinflammationmarkers AT karanjindal thermalimagingintotalkneereplacementanditsrelationwithinflammationmarkers AT msdhillon thermalimagingintotalkneereplacementanditsrelationwithinflammationmarkers |
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