Muthu Sathish, Kalanchiam Guna Pratheep, Shyam Ashok
Department of Spine Surgery, Orthopaedic Research Group, Coimbatore, Tamil Nadu, India.
Central Research Laboratory, Meenakshi Medical College Hospital and Research Institute, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India.
J Orthop Case Rep. 2025 Aug;15(8):6-10. doi: 10.13107/jocr.2025.v15.i08.5864.
Degenerative spinal disorders are a growing concern, affecting millions worldwide and often leading to chronic pain, functional impairment, and reduced quality of life. Traditional imaging techniques such as magnetic resonance imaging and computed tomography scans primarily focus on structural abnormalities, limiting real-time physiological assessments. Digital infrared thermography imaging (DITI) has emerged as a promising non-invasive diagnostic tool that evaluates thermal emissions from the body, offering valuable insights into musculoskeletal dysfunction. This review explores the principles of DITI, its application in diagnosing degenerative spinal disorders, and its clinical implications. DITI operates on the principle that physiological disturbances - such as inflammation, neuropathy, and vascular irregularities -alter skin temperature distribution, which can be captured using infrared technology. It has shown promise in detecting conditions such as herniated discs, spinal stenosis, and facet joint degeneration by identifying abnormal thermal asymmetry. While DITI offers advantages such as real-time functional assessment, cost-effectiveness, and early disease detection, challenges related to standardization, environmental variability, and specificity persist. Recent advancements, including artificial intelligence-driven thermal analysis and hybrid imaging approaches, are improving DITI's diagnostic precision and clinical utility. Establishing standardized protocols for environmental control, patient preparation, and image validation is crucial for ensuring reproducibility in spinal evaluations. As research progresses, integrating DITI with conventional imaging methods may enhance its role in clinical practice, optimizing diagnostic accuracy and treatment outcomes for patients with degenerative spinal disorders.
退行性脊柱疾病日益受到关注,影响着全球数百万人,常导致慢性疼痛、功能障碍和生活质量下降。传统成像技术如磁共振成像和计算机断层扫描主要关注结构异常,限制了实时生理评估。数字红外热成像(DITI)已成为一种有前景的非侵入性诊断工具,可评估人体的热辐射,为肌肉骨骼功能障碍提供有价值的见解。本文综述探讨了DITI的原理、其在诊断退行性脊柱疾病中的应用及其临床意义。DITI的工作原理是,诸如炎症、神经病变和血管异常等生理紊乱会改变皮肤温度分布,而这可以通过红外技术捕捉。通过识别异常的热不对称,它在检测椎间盘突出、椎管狭窄和小关节退变等病症方面已显示出前景。虽然DITI具有实时功能评估、成本效益和疾病早期检测等优势,但与标准化、环境变异性和特异性相关的挑战依然存在。包括人工智能驱动的热分析和混合成像方法在内的最新进展正在提高DITI的诊断精度和临床效用。建立环境控制、患者准备和图像验证的标准化方案对于确保脊柱评估的可重复性至关重要。随着研究的进展,将DITI与传统成像方法相结合可能会增强其在临床实践中的作用,优化退行性脊柱疾病患者的诊断准确性和治疗效果。