ReviewJournal of orthopaedic surgery and research2025
Diagnostic imaging confusion in infectious spondylitis.
Review in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed.
- Differentiating Tuberculous and Pyogenic Spondylodiscitis: Part II: MRI/CT Features, Prediction Models, and the Role of PET/CT-A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- LASSO regression-based machine learning model for differentiating spinal tuberculosis, pyogenic spondylitis, and endplate osteochondritis: development and clinical application.Frontiers in cellular and infection microbiology · 2026Article
- Integrating metagenomic next-generation sequencing into a multimodal diagnostic framework for spinal infection: enhancing etiological identification and clinical prediction.Frontiers in cellular and infection microbiology · 2026Article
- Evaluation of the efficacy and safety of unilateral biportal endoscopic technique for the treatment of infectious spondylitis.American journal of translational research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfectious spondylitis is a rare but increasingly recognized condition involving infectious lesions of the spine. It can affect patients of all ages and is typically caused by bacterial, fungal, or other pathogens. The infection commonly targets the vertebral bodies and intervertebral discs. Early symptoms of infectious spondylitis are often nonspecific, making it challenging to differentiate from other spinal disorders such as tumors, degenerative diseases, or other types of infections. As the condition can progress rapidly, early diagnosis and intervention are crucial to improving patient outcomes. MAIN BODY: Imaging plays a critical role in the early diagnosis of infectious spondylitis. Magnetic resonance imaging is considered the gold standard due to its superior ability to visualize soft tissue structures and assess the extent of infection. CT imaging and nuclear medicine scans also provide valuable information in certain clinical scenarios, particularly for evaluating bony involvement and detecting occult infection. However, imaging findings in infectious spondylitis can overlap with those of other spinal conditions, making differential diagnosis essential for accurate identification. This study explores the advantages and limitations of different imaging modalities in diagnosing infectious spondylitis, focusing on their ability to suggest the possible etiology, determine the severity of the disease, and guide treatment decisions. Additionally, the relationship between imaging characteristics and clinical symptoms is examined to offer clinicians a systematic approach to improve diagnostic accuracy.
conclusionEarly and accurate diagnosis of infectious spondylitis is critical for preventing long-term complications. Imaging techniques, especially MRI, are invaluable tools for clinicians in identifying this condition, assessing its extent, and guiding treatment. Improved understanding of the imaging features associated with infectious spondylitis is essential for more accurate diagnosis and treatment planning.
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Registered trials
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.