Evidence map›Paper›PMID 42824183›Full record

ArticleFrontiers in physiology2026

MRI-based endplate bone quality predicts bony fusion and cage subsidence after PLIF in patients with Modic changes.

Xiaoxia Qiao, Zhao Guo, Tong Li, Jie Zhang, Xiong Zhang, Xiaozhe Zhou

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Article in Frontiers in physiology, 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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6 authors.

Xiaoxia QiaoAffiliated Hospital of Hebei University, Baoding, China.
Zhao GuoAffiliated Hospital of Hebei University, Baoding, China.
Tong LiAffiliated Hospital of Hebei University, Baoding, China.
Jie ZhangAffiliated Hospital of Hebei University, Baoding, China.
Xiong Zhang *Affiliated Hospital of Hebei University, Baoding, China.
Xiaozhe Zhou *Affiliated Hospital of Hebei University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Modic changes (MCs) are classified into non- sclerotic and sclerotic types based on endplate morphology. Our previous work showed that non- sclerotic MCs increase cage subsidence risk after posterior lumbar interbody fusion (PLIF), while sclerotic MCs reduce bony fusion rates. Endplate bone quality (EBQ), an magnetic resonance imaging (MRI)- derived surrogate for regional bone density, may predict these distinct complications. This study evaluated EBQ's predictive value for cage subsidence in the non- sclerotic group and for bony fusion failure in the sclerotic group. Methods: We retrospectively reviewed 189 patients (mean age 52.6 years, 62.5% female) who underwent single- segment PLIF for degenerative lumbar disease with MCs. Patients were divided into non- sclerotic (n=108) and sclerotic (n=81) groups based on preoperative computed tomography (CT) and MRI. EBQ was calculated as the average signal intensity of the subchondral bone 3 mm above and below the surgical level divided by the cerebrospinal fluid signal at L3. Cage subsidence and bony fusion were assessed on CT at minimum 1- year follow- up. Binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed. Results: In the non- sclerotic group, higher EBQ independently predicted cage subsidence (OR = 1.539, 95% CI: 1.034- 2.291, P<0.05), with an AUC of 0.809 (95% CI: 0.684- 0.934). The optimal cutoff was 3.015, yielding 90.0% sensitivity and 67.3% specificity. In the sclerotic group, lower EBQ independently predicted non- fusion (OR = 1.404, 95% CI: 1.007- 1.956, P<0.05), with an AUC of 0.784 (95% CI: 0.675- 0.892) and optimal cutoff of 1.745 (72.6% sensitivity, 78.9% specificity). Conclusion: EBQ serves as a dual predictive biomarker: high EBQ identifies non- sclerotic patients at risk for cage subsidence, while low EBQ identifies sclerotic patients at risk for fusion failure. Preoperative EBQ assessment can guide personalized surgical strategies to reduce complications and improve outcomes.

Indexed as

bony fusioncage subsidenceendplate bone qualityendplate sclerosisModic changesposterior lumbar interbody fusion

Identifiers

PMID42824183
PMCPMC13627023

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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.