{"title":"红外热成像作为膝骨关节炎的非侵入性预诊断工具:一项横断面研究","authors":"Manoj Kumar Sharma , Hardika Sood","doi":"10.1016/j.jtherbio.2025.104281","DOIUrl":null,"url":null,"abstract":"<div><div>Knee osteoarthritis is a degenerative joint disease, causing pain and reduced mobility, especially in older adults. Current imaging methods like CT, MRI, and bone scintigraphy mainly reveal structural changes, but have limitations such as radiation exposure, high cost, and limited repeatability. In contrast, infrared thermal imaging is a non-invasive, radiation-free technique that detects temperature changes linked to joint inflammation. It offers real-time, repeatable results, making it useful for monitoring and guiding timely interventions. This cross-sectional study was conducted on 56 participants diagnosed with knee osteoarthritis to evaluate the role of infrared thermal imaging in assessment and immediate monitoring. Thermal imaging measurements were obtained from both affected and contralateral knees using standardized protocols. Clinical assessment included Kellgren-Lawrence grading, Western Ontario and McMaster Universities Osteoarthritis Index, and Visual Analogue Scale pain scores. Statistical analysis included receiver operating characteristic curve analysis, correlation analysis, and diagnostic performance metrics. Result showed that the mean temperature difference between affected and contralateral knees was 1.80 ± 0.64 °C (p < 0.001, Cohen's d = 2.81). Thermal temperature differences showed significant correlation with Kellgren-Lawrence grade severity (r = 0.442, p < 0.001). Using an optimal cutoff of 1.16 °C, thermal imaging demonstrated 95 % sensitivity and 43 % specificity for detecting clinically significant osteoarthritis. The area under the receiver operating characteristic curve was 0.65. This research concluded that Infrared thermal imaging provides a non-invasive method for detecting knee osteoarthritis with high sensitivity. The technique shows promise as an adjunctive diagnostic tool, particularly for screening and monitoring disease progression.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"133 ","pages":"Article 104281"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Infrared thermal imaging as a non-invasive pre- diagnostic tool for knee osteoarthritis: A cross-sectional study\",\"authors\":\"Manoj Kumar Sharma , Hardika Sood\",\"doi\":\"10.1016/j.jtherbio.2025.104281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Knee osteoarthritis is a degenerative joint disease, causing pain and reduced mobility, especially in older adults. Current imaging methods like CT, MRI, and bone scintigraphy mainly reveal structural changes, but have limitations such as radiation exposure, high cost, and limited repeatability. In contrast, infrared thermal imaging is a non-invasive, radiation-free technique that detects temperature changes linked to joint inflammation. It offers real-time, repeatable results, making it useful for monitoring and guiding timely interventions. This cross-sectional study was conducted on 56 participants diagnosed with knee osteoarthritis to evaluate the role of infrared thermal imaging in assessment and immediate monitoring. Thermal imaging measurements were obtained from both affected and contralateral knees using standardized protocols. Clinical assessment included Kellgren-Lawrence grading, Western Ontario and McMaster Universities Osteoarthritis Index, and Visual Analogue Scale pain scores. Statistical analysis included receiver operating characteristic curve analysis, correlation analysis, and diagnostic performance metrics. Result showed that the mean temperature difference between affected and contralateral knees was 1.80 ± 0.64 °C (p < 0.001, Cohen's d = 2.81). Thermal temperature differences showed significant correlation with Kellgren-Lawrence grade severity (r = 0.442, p < 0.001). Using an optimal cutoff of 1.16 °C, thermal imaging demonstrated 95 % sensitivity and 43 % specificity for detecting clinically significant osteoarthritis. The area under the receiver operating characteristic curve was 0.65. This research concluded that Infrared thermal imaging provides a non-invasive method for detecting knee osteoarthritis with high sensitivity. The technique shows promise as an adjunctive diagnostic tool, particularly for screening and monitoring disease progression.</div></div>\",\"PeriodicalId\":17428,\"journal\":{\"name\":\"Journal of thermal biology\",\"volume\":\"133 \",\"pages\":\"Article 104281\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of thermal biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306456525002384\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of thermal biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306456525002384","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
膝骨关节炎是一种退行性关节疾病,引起疼痛和活动能力降低,尤其是在老年人中。目前的成像方法如CT、MRI和骨显像主要显示结构变化,但存在辐射暴露、成本高、可重复性有限等局限性。相比之下,红外热成像是一种非侵入性、无辐射的技术,可以检测与关节炎症相关的温度变化。它提供实时、可重复的结果,有助于监测和指导及时的干预措施。这项横断面研究对56名诊断为膝骨关节炎的参与者进行了研究,以评估红外热成像在评估和即时监测中的作用。采用标准化方案对患侧和对侧膝关节进行热成像测量。临床评估包括Kellgren-Lawrence分级、西安大略和麦克马斯特大学骨关节炎指数和视觉模拟量表疼痛评分。统计分析包括患者工作特征曲线分析、相关分析和诊断性能指标。结果显示患膝与对侧双膝平均温差为1.80±0.64°C (p < 0.001, Cohen’s d = 2.81)。温度差与Kellgren-Lawrence分级严重程度呈显著相关(r = 0.442, p < 0.001)。使用1.16°C的最佳截止温度,热成像显示95%的灵敏度和43%的特异性用于检测临床显著的骨关节炎。受试者工作特征曲线下面积为0.65。本研究认为,红外热成像为检测膝关节骨关节炎提供了一种无创、灵敏度高的方法。该技术有望成为一种辅助诊断工具,特别是用于筛查和监测疾病进展。
Infrared thermal imaging as a non-invasive pre- diagnostic tool for knee osteoarthritis: A cross-sectional study
Knee osteoarthritis is a degenerative joint disease, causing pain and reduced mobility, especially in older adults. Current imaging methods like CT, MRI, and bone scintigraphy mainly reveal structural changes, but have limitations such as radiation exposure, high cost, and limited repeatability. In contrast, infrared thermal imaging is a non-invasive, radiation-free technique that detects temperature changes linked to joint inflammation. It offers real-time, repeatable results, making it useful for monitoring and guiding timely interventions. This cross-sectional study was conducted on 56 participants diagnosed with knee osteoarthritis to evaluate the role of infrared thermal imaging in assessment and immediate monitoring. Thermal imaging measurements were obtained from both affected and contralateral knees using standardized protocols. Clinical assessment included Kellgren-Lawrence grading, Western Ontario and McMaster Universities Osteoarthritis Index, and Visual Analogue Scale pain scores. Statistical analysis included receiver operating characteristic curve analysis, correlation analysis, and diagnostic performance metrics. Result showed that the mean temperature difference between affected and contralateral knees was 1.80 ± 0.64 °C (p < 0.001, Cohen's d = 2.81). Thermal temperature differences showed significant correlation with Kellgren-Lawrence grade severity (r = 0.442, p < 0.001). Using an optimal cutoff of 1.16 °C, thermal imaging demonstrated 95 % sensitivity and 43 % specificity for detecting clinically significant osteoarthritis. The area under the receiver operating characteristic curve was 0.65. This research concluded that Infrared thermal imaging provides a non-invasive method for detecting knee osteoarthritis with high sensitivity. The technique shows promise as an adjunctive diagnostic tool, particularly for screening and monitoring disease progression.
期刊介绍:
The Journal of Thermal Biology publishes articles that advance our knowledge on the ways and mechanisms through which temperature affects man and animals. This includes studies of their responses to these effects and on the ecological consequences. Directly relevant to this theme are:
• The mechanisms of thermal limitation, heat and cold injury, and the resistance of organisms to extremes of temperature
• The mechanisms involved in acclimation, acclimatization and evolutionary adaptation to temperature
• Mechanisms underlying the patterns of hibernation, torpor, dormancy, aestivation and diapause
• Effects of temperature on reproduction and development, growth, ageing and life-span
• Studies on modelling heat transfer between organisms and their environment
• The contributions of temperature to effects of climate change on animal species and man
• Studies of conservation biology and physiology related to temperature
• Behavioural and physiological regulation of body temperature including its pathophysiology and fever
• Medical applications of hypo- and hyperthermia
Article types:
• Original articles
• Review articles