Evidence map›Paper›PMID 41679953›Full record

ArticleOrthopaedic surgery2026

Comparing the Prognostic Utility of Vertebral and Endplate Bone Quality Scores for Cage Subsidence Following Single-Level Anterior Cervical Discectomy and Fusion: A Retrospective Analysis.

Omar Lubbad, Wajeeh Ullah Mahmood, Rafiq Sheikhali, Mohammad Abir Mamun, Akram Hagos, Laila Lubbad, Suzanne Murphy, Giuseppe Lambros Morassi, Nektarios K Mazarakis

Abstract readComparative Study
In one paragraph

Article in Orthopaedic surgery, 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

9 authors.

Omar LubbadBrighton and Sussex Medical School, Brighton, UK.ORCID https://orcid.org/0009-0006-0402-5610
Wajeeh Ullah MahmoodBrighton and Sussex Medical School, Brighton, UK.ORCID https://orcid.org/0009-0001-5731-1585
Rafiq SheikhaliBrighton and Sussex Medical School, Brighton, UK.
Mohammad Abir MamunBrighton and Sussex Medical School, Brighton, UK.
Akram HagosBrighton and Sussex Medical School, Brighton, UK.
Laila LubbadRoyal College of Surgeons in Ireland Medical School, Busaiteen, Bahrain.
Suzanne MurphyDepartment of Surgery, Royal College of Surgeons Ireland, Dublin, Ireland.
Giuseppe Lambros MorassiDepartment of Neurosurgery, Royal Sussex County Hospital, Brighton, UK.
Nektarios K MazarakisDepartment of Neurosurgery, Royal Sussex County Hospital, Brighton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCage subsidence following anterior cervical discectomy and fusion (ACDF) is linked with poor bone quality. MRI-derived bone quality scores have been shown to provide valuable insights into postoperative complication risk; however, the optimal MRI-based metric for predicting cage subsidence remains unclear. This study aims to compare the predictive value of different MRI-derived bone quality measures for cage subsidence following ACDF.

methodsPatients undergoing single-level ACDF between October 2012 and September 2022 at our institution with at least 6 months of radiographic follow-up were retrospectively evaluated. T1 preoperative MRI scans were used to measure mean, median, and segmental vertebral bone quality (VBQ) scores, and upper, lower, and average endplate bone quality (EBQ) scores. Postoperative and follow-up X-rays were used to identify cage subsidence.

resultsFifty-six patients met the inclusion criteria; 26 developed cage subsidence and 30 did not. Age, sex, surgical indication, cage type, and clinical setting were similar between groups. Mean disc space loss was significantly greater in the subsidence group (3.99 mm vs. 0.37 mm; p < 0.001). All bone quality scores were significantly higher in the subsidence group across all metrics. Mean VBQ (OR = 14.22), segmental VBQ (OR = 8.23), and lower EBQ (OR = 5.54) were strong predictors of subsidence (p < 0.001). ROC analysis showed excellent discrimination for mean VBQ (AUC = 0.821), segmental VBQ (AUC = 0.817), and median VBQ (AUC = 0.817). Interobserver reliability was high for all bone quality metrics (ICC 0.836-0.925).

conclusionMRI-derived bone quality metrics, particularly VBQ and lower endplate EBQ scores, are strong predictors of cage subsidence following single-level ACDF. These findings reinforce the clinical utility of preoperative MRI as a non-invasive, radiation-free tool for assessing vertebral bone integrity. Incorporating VBQ and EBQ assessments into surgical planning may enhance risk stratification and optimize postoperative outcomes in patients undergoing cervical fusion.

Indexed as

Bone DensityCervical VertebraeDiskectomyPostoperative ComplicationsSpinal FusionAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective Studiesanterior cervical discectomy and fusionbone qualitycage subsidencemagnetic resonance imaging

Identifiers

PMID41679953
PMCPMC12967597

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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.