ArticleJournal of orthopaedic case reports2025
Thermographic Insights into Degenerative Spinal Disorders: Evaluating the Diagnostic Potential of Digital Infrared Thermography Imaging.
Article in Journal of orthopaedic case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Therapeutic potential of Golta therapy via radiographic and thermographic evaluation in improving scoliosis: A case report.Medicine · 2026Article
- Infrared thermography as adjunctive imaging in spine surgery: Evaluating thermal asymmetry for predicting symptomatic level and recovery.World journal of radiology · 2026Article
- Toward visualized pathophenotyping: a multimodal imaging-guided conceptual framework for chronic low back pain.Frontiers in medicine · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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