Evidence map›Paper›PMID 41160748›Full record

ArticleGlobal spine journal2026

Evaluation of MRI-Based Region-specific Vertebral Bone Quality Score for Bone Mineral Density in Lumbar Fusion Surgery.

Xuan Zhao, Wei Wang, Xiaolong Chen, Shibao Lu

Abstract read
In one paragraph

Article in Global spine journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Xuan ZhaoDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.ORCID 0009-0006-3490-9142
Wei WangDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Xiaolong ChenDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Shibao LuDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study DesignRetrospective study.ObjectivesTo compare region-specific VBQ scores and to evaluate their effectiveness in assessing bone quality in patients with lumbar degenerative diseases.MethodsThis study retrospectively included patients who underwent lumbar fusion surgery for lumbar degenerative diseases between April 2021 and January 2025. Region-specific VBQ scores (VBQ-anterior, VBQ-classic and VBQ-posterior), assessed using preoperative MRI. Hounsfield Unit (HU) values were also recorded. Receiver operating characteristic (ROC) curves were generated to assess the diagnostic accuracy. Pearson correlation analysis was performed to evaluate the associations between region-specific VBQ scores, HU values, and lumbar T-scores.ResultsA total of 329 eligible patients was included. VBQ-anterior demonstrated the highest scores, whereas VBQ-posterior exhibited significantly lower values. Furthermore, we evaluated the diagnostic accuracy of the three VBQ measurement approaches, as well as HU values, in identifying osteoporotic patients. The results revealed that HU values showed the highest area under the curve (AUC = 0.857), followed by VBQ-posterior (AUC = 0.825). In contrast, VBQ-anterior exhibited the lowest diagnostic accuracy (AUC = 0.735). Correlation analysis demonstrated that HU values had the strongest correlation with lumbar T-scores (r = 0.57,

Indexed as

lumbar fusion surgeryosteoporosisregion-specific vertebral bone quality

Identifiers

PMID41160748
PMCPMC12571777

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.