Thermal imaging in total knee replacement and its relation with inflammation markers

Mathematical Biosciences and Engineering

卷:18

Viney Lohchab¹  Jaspreet Singh²  Prasant Mahapatra³  Aman Hooda⁴  Karan Jindal⁴  Vikas Bachhal⁴  MS Dhillon⁴ 

[1] 1. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India 2. CSIR-Central Scientific Instruments Organisation, Sector 30 C, Chandigarh 160030, India;

[2] 2. CSIR-Central Scientific Instruments Organisation, Sector 30 C, Chandigarh 160030, India 3. Sant Longowal Institute of Engineering and Technology, Punjab 148106, India;

[3] 2. CSIR-Central Scientific Instruments Organisation, Sector 30 C, Chandigarh 160030, India;

[4] 4. Department of Orthopedics, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India;

关键词: image analysis;    inflammatory markers;    non-invasive assessment;    skin temperature;    thermal imaging;   

DOI  :  10.3934/mbe.2021385

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown