热成像对退行性脊柱疾病的洞察:评估数字红外热成像的诊断潜力。

Sathish Muthu, Guna Pratheep Kalanchiam, Ashok Shyam
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引用次数: 0

摘要

退行性脊柱疾病日益受到关注,影响着全世界数百万人,并常常导致慢性疼痛、功能损害和生活质量下降。磁共振成像和计算机断层扫描等传统成像技术主要关注结构异常,限制了实时生理评估。数字红外热成像(DITI)已经成为一种很有前途的非侵入性诊断工具,可以评估身体的热辐射,为肌肉骨骼功能障碍提供有价值的见解。本文综述了DITI的原理,它在诊断退行性脊柱疾病中的应用,以及它的临床意义。DITI的工作原理是,生理紊乱(如炎症、神经病变和血管不规则)会改变皮肤温度分布,这些可以用红外技术捕获。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疾病方面显示出了希望。虽然DITI具有诸如实时功能评估、成本效益和早期疾病检测等优势,但与标准化、环境可变性和特异性相关的挑战仍然存在。最近的进步,包括人工智能驱动的热分析和混合成像方法,正在提高DITI的诊断精度和临床实用性。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与常规影像学方法相结合,可以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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Thermographic Insights into Degenerative Spinal Disorders: Evaluating the Diagnostic Potential of Digital Infrared Thermography Imaging.

Thermographic Insights into Degenerative Spinal Disorders: Evaluating the Diagnostic Potential of Digital Infrared Thermography Imaging.

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.

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