Evidence map›Paper›PMID 40786782›Full record

ArticleJournal of orthopaedic case reports2025

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

Sathish Muthu, Guna Pratheep Kalanchiam, Ashok Shyam

Abstract readEditorial
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sathish MuthuDepartment of Spine Surgery, Orthopaedic Research Group, Coimbatore, Tamil Nadu, India.
Guna Pratheep KalanchiamDepartment of Orthopaedics - Spine Division, Meenakshi Mission Hospital, Madurai, Tamil Nadu, India.
Ashok ShyamIndian Orthopaedic Research Group, Thane, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

degenerativediagnosisdigital infrared thermography imagingprognosisSpinethermography

Identifiers

PMID40786782
PMCPMC12328939

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.