Evidence map›Paper›PMID 42550235›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Novel MRI-based quantitative signal-intensity ratio scores for differentiation of pyogenic and tuberculous spondylitis.

Zhibin Chen, Yuming Huang, Boxuan Xu, Yaowang Pan, Chuanrong Chen, Rongsheng Chen, Weihong Xu

Abstract read
PubMed Publisher
In one paragraph

Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zhibin ChenDepartment of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Yuming HuangDepartment of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Boxuan XuDepartment of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Yaowang PanDepartment of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Chuanrong ChenDepartment of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Rongsheng ChenDepartment of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Weihong XuDepartment of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. xuweihong815@126.com.

Funding

the Fujian Provincial Finance Project BPB-2023XWHthe Fujian Provincial Finance Project BPB-2024CRSthe Nature Science Foundation of Fujian province 2021J02035
6 · The paper itself

Abstract

purposeThis study aimed to develop quantitative MRI-based signal-intensity ratio scores, namely the Epidural Abscess Signal (EAS) score and Vertebral Body Signal (VBS) score, to differentiate pyogenic spondylitis (PS) from tuberculous spondylitis (TS) and identify their optimal diagnostic thresholds.

methodsThis retrospective study included patients with a definitive diagnosis of PS or TS between December 2021 and December 2024. EAS scores were calculated from T2-weighted imaging signal intensity, and VBS scores were calculated from T1-weighted imaging signal intensity. Receiver operating characteristic (ROC) analysis was used to identify the optimal diagnostic thresholds and evaluate their diagnostic performance for differentiating PS from TS.

resultsA total of 88 patients with confirmed diagnoses of spondylitis (39 PS, 49 TS) were included in the study. Significant differences were observed in EAS scores (0.534 ± 0.132 vs. 0.354 ± 0.092) and VBS scores (1.677 ± 0.454 vs. 2.312 ± 0.534) between PS and TS (both p < 0.001). ROC analysis revealed that the area under the curve (AUC) was 0.888 for EAS and 0.870 for VBS, both showing higher AUCs than individual laboratory biomarkers. The optimal diagnostic thresholds for predicting PS were EAS ≥ 0.400 and VBS ≤ 2.000, with sensitivities of 93.1% and 89.7%, and specificities of 85.3% and 89.8%, respectively. Univariate analysis identified eight variables (p < 0.05) included in multivariable logistic regression model, which revealed that VBS score ≤ 2.000 (adjusted OR = 298.96) and CRP levels ≥ 50.00 mg/L (adjusted OR = 46.37) were independently associated with PS in the entire cohort. Subgroup analysis of patients with epidural abscess demonstrated that EAS ≥ 0.400 (adjusted OR = 62.18) and VBS ≤ 2.000 (adjusted OR = 51.52) remained significantly associated with PS.

conclusionThis study developed MRI-based quantitative signal-intensity ratio scores (EAS ≥ 0.400 and VBS ≤ 2.000) to differentiate PS from TS, achieving diagnostic accuracies of 88.9% and 89.8%, respectively.

Indexed as

Epidural abscessMRI signal-intensityPyogenic spondylitisTuberculous spondylitisVertebral body

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.