Evidence map›Paper›PMID 41353696›Full record

ArticleSkeletal radiology2026

MRI spondylodiscitis severity index: A novel scoring system based on contrast-enhanced MRI of the spine for predicting the clinical course and severity of pyogenic spondylodiscitis.

Ahmet Faruk Gürbüz, Ayşe Keven, Ece Çinar, Sadi Elasan, Can Çevikol

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Article in Skeletal radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ahmet Faruk GürbüzDepartment of Radiology, Akdeniz University School of Medicine, Dumlupınar Bulvarı, Antalya, Arapsuyu, 07059, Turkey.ORCID http://orcid.org/0000-0002-3912-1024
Ayşe KevenDepartment of Radiology, Akdeniz University School of Medicine, Dumlupınar Bulvarı, Antalya, Arapsuyu, 07059, Turkey. aysekeven@gmail.com.ORCID http://orcid.org/0000-0002-1662-8586
Ece ÇinarDepartment of Radiology, Akdeniz University School of Medicine, Dumlupınar Bulvarı, Antalya, Arapsuyu, 07059, Turkey.ORCID http://orcid.org/0009-0008-0801-354X
Sadi ElasanDepartment of Biostatistics, Yüzüncü Yıl University Medical Faculty, Van, Turkey.ORCID http://orcid.org/0000-0002-3149-6462
Can ÇevikolDepartment of Radiology, Akdeniz University School of Medicine, Dumlupınar Bulvarı, Antalya, Arapsuyu, 07059, Turkey.ORCID http://orcid.org/0000-0002-0333-0254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to validate a new MRI-based scoring system for pyogenic spondylodiscitis (PS) using contrast-enhanced MRI at admission. The system was designed to classify disease severity and provide a quantifiable tool for risk stratification and treatment planning. MATERIALS AND

methodsWe retrospectively analysed 60 patients with clinically and laboratory-confirmed PS at a single tertiary hospital between September 2016 and September 2024. A novel scoring system, the MRI-SSI, evaluated vertebral destruction, signal abnormalities, endplate erosion, and epidural or paravertebral extension. The scores (0-9, 10-19, ≥ 20) categorised disease as mild, moderate, or severe. Two experienced radiologists scored the images, and we recorded hospitalisation duration and the need for surgery. Statistical analysis included independent samples t-tests, ANOVA, and interobserver agreement was assessed using Cohen's kappa and intraclass correlation coefficients (ICCs).

resultsOf the 60 patients, 17 (28.3%) required surgical intervention. Patients needing surgery had significantly higher MRI-SSI scores than those managed conservatively (18.58 vs. 13.86; p = 0.004). The scoring system had a strong predictive value for surgical requirement (AUC = 0.720), with 58% sensitivity and 88% specificity. Interobserver agreement for the total MRI-SSI score was excellent (ICC = 0.906).

conclusionThe MRI-SSI accurately predicted hospitalisation duration and surgical needs in PS patients. This tool, based solely on admission MRI findings, can refine initial treatment decisions, leading to more targeted resource utilisation and improved overall patient outcomes.

Indexed as

DiscitisMagnetic Resonance ImagingSeverity of Illness IndexAdultAgedAged, 80 and overContrast MediaFemaleHumansImage EnhancementMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityContrast MediaMagnetic resonance imagingPyogenic infectionsSpineSpondylodiscitisSurgery

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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.