Characteristics of MRI‑based vertebral bone quality scores in elderly patients with vertebral fragility fractures

Cervical Vertebra Bone Quality Score Predicts Zero-Profile Anchored Spacer Interbody Fusion Cage Subsidence after Anterior Cervical Diskectomy and Fusion: A Retrospective Study

Study DesignRetrospective study.ObjectiveThis retrospective study primary focus is to investigate the relationship between the C-VBQ score and the occurrence of postoperative zero-profile anchored spacer (ROI-C) interbody fusion cage subsidence. Additionally, we aim to evaluate the predictive efficacy of the C-VBQ scoring system for subsidence in the context of ACDF with the ROI-C.MethodsPatients who underwent ACDF with the ROI-C cage at our hospital between January 2016 and December 2022 were included in this study. Univariate analysis and multivariate logistic regression were employed to identify independent risk factors associated with ROI-C cage subsidence after ACDF. Pearson correlation analysis was utilized to assess the correlation between the C-VBQ score and the height of ROI-C cage subsidence.ResultsA total of 102 patients underwent ACDF with ROI-C in our hospital were included in this study. Univariate analysis showed that age (P = 0.021) and C-VBQ score (P < 0.001) were the influencing factors of cage subsidence. Pearson correlation analysis showed that there was a significant positive correlation between the subsidence height of ROI-C cage and C-VBQ (r = 0.55, P < 0.01). Multivariate binary logistic regression analysis showed that C-VBQ score was the only variable that could significantly predict the subsidence of ROI-C cage after ACDF. Higher C-VBQ score was significantly associated with cage subsidence (P < 0.001).The AUC was 0.89, and the cutoff value for C-VBQ was 2.70.ConclusionThe findings indicate a significant correlation between a higher C-VBQ score before surgery and ROI-C cage subsidence after ACDF. The preoperative assessment of C-VBQ proves valuable for clinicians, enabling them to identify patients with low bone mineral density and predict the risk of zero-profile anchored spacer interbody fusion cage subsidence following ACDF.

Would Roussouly classification affect the diagnostic efficiency of vertebral bone quality score for assessing osteopenia or osteoporosis in lumbar degenerative disease?

PURPOSE

The aim of this study is to estimate the diagnostic efficiency of VBQ score for assessing osteopenia and osteoporosis in different Roussouly types in lumbar degenerative disease.

METHODS

We reviewed the preoperative data of 501 patients with lumbar degenerative diseases who underwent lumbar spine surgery between July 2019 and December 2022 with available T1-weighted magnetic resonance imaging and dual-energy X-ray absorptiometry. Receiver operating characteristic (ROC) curves were plotted to analyze the diagnostic performance of VBQ score in different Roussouly classifications. For each Roussouly type, one-way ANOVA was applied to compare VBQ score across different lumbar segments. Statistical significance was set at P < 0.05.

RESULTS

No statistical difference was found between the VBQ score of L1, L2, L3 and L4. Lumbar lordosis and sacral slope were not independently associated with VBQ score. According to the ROC curve, Roussouly type 1 to 4 showed AUC of 0.738, 0.799, 0.764 and 0.817, respectively, in diagnosing osteopenia. Roussouly type 1 to 4 showed AUC of 0.690, 0.703, 0.851 and 0.643, respectively, in diagnosing osteoporosis.

CONCLUSIONS

Different Roussouly types would not affect the diagnosis efficiency of VBQ score in diagnosing osteopenia. However, VBQ score showed better performance in diagnosing osteoporosis for Roussouly type 3. When VBQ score was applied as opportunistic screening method for osteoporosis, choosing appropriate patients was important to improve the diagnostic accuracy.

Prediction of subsequent vertebral fracture after percutaneous vertebral augmentation using MRI-based vertebral bone quality and CT-based Hounsfield units: a retrospective cross-sectional study

Subsequent vertebral fracture (SVF) is a common and refractory complication after percutaneous vertebral augmentation (PVA) for osteoporotic vertebral compression fracture (OVCF). Computed tomography (CT)-based Hounsfeld units (HU) and magnetic resonance imaging (MRI)-based vertebral bone quality (VBQ) score can evaluate osteoporosis quantitatively, hyperlipidemia(HLP) might affect measurement result of VBQ score. The primary objective of this study is to compare the predictive capabilities of HU and VBQ for SVF, and to clarify the impact of hyperlipidemia on the predictive abilities. This study included consecutive 341 patients with OVCF who were treated with PVA from March 1, 2020, to December 31, 2022. A multivariate logistic regression analysis was used to determine the relationship between HU and VBQ and SVF. ROC curves were plotted to calculate area under curve (AUC), and hoc analysis and Youden index was used to determine cut-off values of HU and VBQ. Compared with the non-SVF group, VBQ (4.69 ± 0.35 vs. 4.14 ± 0.41, P < 0.001) was higher and HU (58.2 ± 13.81 vs. 81.2 ± 16.68, P < 0.001) was lower in the SVF group. On multivariate logistic regression analysis, higher VBQ (odds ratio (OR) = 23.47,P < 0.001) and lower HU (OR = 0.93,P < 0.001) are independent predictors for SVF. The AUC using VBQ for predicting SVF was 0.84, the cut-off was 4.28. The AUC using HU for predicting SVF was 0.85, the cut-off was 64.40. In the HLP group, the AUC of VBQ was comparable with that of HU for SVF prediction, however, the sensitivity was lower in the HLP group (0.50 vs. 0.83). Furthermore, the AUC value of VBQ with HLP was lower than that of VBQ without HLP (0.78 vs. 0.90, P = 0.017). These findings demonstrated that both VBQ and HU can accurately predict the occurrence of SVF after PVA. HLP might cause a false increase of VBQ value, using HU could better assess bone quality and predict SVF occurrence when HLP is present.

Application of MRI imaging parameters in lumbar spine diseases: a review of the literature

AIM

The purpose of this study is to review the application of MRI imaging parameters in lumbar degenerative diseases (LDD) and related complications after lumbar surgery, and to explore its application scope, advantages and diagnostic value.

MATERIALS AND METHODS

This study provides a comprehensive review of the application of MRI imaging parameters in LDD. The measurement methods of each imaging parameter were described in detail, and the clinical significance of each parameter in LDD and postoperative complications of lumbar spine was summarized.

RESULTS

Studies have shown that reduced paraspinal muscle cross-sectional area (CSA), increased fat infiltration rate (FIR), and smaller lumbar depression value (LIV) are risk factors for the development of LDD and postoperative complications of lumbar spine (vertebral fracture, screw loosening, cage subsidence, etc). The vertebral bone quality (VBQ) score reflects vertebral bone quality and correlates significantly with DXA T-value and QCT BMD value, which can effectively identifying patients with osteopenia or normal bone quality. At the same time,elevated VBQ score is a significant predictor of the occurrence of osteoporosis, postoperative screw loosening and fusion cage subsidence in the lumbar spine.

CONCLUSION

Our study showed that MRI imaging-related parameters are widely used in clinical practice, which can quantitatively reflect the quality of paravertebral muscles, the degree of fat infiltration, and vertebral bone density. They have important guiding significance for the diagnosis, treatment and prognosis of lumbar spine diseases.

Comparative effectiveness of four techniques for identifying vertebral fragility fractures among elderly patients

OBJECTIVE

The incidence of vertebral fragile fractures peaked among the elderly population, and identifying individuals at high risk of vertebral fractures and promptly instituting preventions are of critical importance. This study aims to determine the efficacy and values of Hounsfield unit (HU) values, vertebral bone quality (VBQ) scores, bone mineral density (BMD) measured by dual-energy X-ray absorptiometry (DXA), and quantitative computed tomography (QCT) to discriminate between patients with and without vertebral fractures.

METHODS

A thorough search was conducted across PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, and Wan Fang Database to identify potential studies that met the eligibility criteria. Studies that evaluated the utility of HU values, VBQ scores, QCT-measured BMD, and DXA-measured BMD in discriminating vertebral fractures were qualified.

RESULTS

The combined results showed that there were significant differences in HU values, VBQ scores, QCT-measured BMD, and DXA-measured BMD between the fracture and non-fracture groups. Moreover, the pooled sensitivity, specificity, and AUC of HU values were 0.82, 0.67, and 0.76, respectively; the pooled sensitivity, specificity, and AUC of VBQ scores were 0.70, 0.75, and 0.78; the pooled sensitivity, specificity, and AUC of QCT-measured BMD were 0.85, 0.76 and 0.88.

CONCLUSION

All four methods, namely HU values, VBQ scores, QCT-measured BMD, and DXA-measured BMD can effectively distinguish between patients with and without vertebral fragile fractures. Among these, QCT-measured BMD exhibited a relatively high efficacy in discriminating vertebral fractures. VBQ scores and HU values demonstrated comparable efficacy for discriminating vertebral fractures among elderly patients.

KEY POINTS

Question Can four different imaging modalities effectively discriminate vertebral fragility fracture status among elderly patients? Findings These methods can effectively distinguish vertebral fractures status among elderly patients, and quantitative computed tomography (QCT)-measured bone mineral density (BMD) exhibited a relatively high efficacy. Clinical relevance The clinical applications of Hounsfield unit values, vertebral bone quality scores, and BMD measured by dual-energy X-ray absorptiometry and QCT show promising outcomes in identifying individuals at high risk of vertebral fractures.

Vertebral Bone Quality Score as a Predictor of Subsequent Fractures After Cement Augmentation for Osteoporotic Vertebral Compression Fracture

BACKGROUND AND OBJECTIVES

Dual-energy X-ray absorptiometry (DXA) T-scores have been shown to predict fragility fractures in population-based studies. Recently, a novel MRI-based vertebral bone quality (VBQ) score has been proposed, showing better predictability for fragility fractures compared with DXA T-scores. The aim of this study was to explore the correlation between VBQ scores and DXA T-scores and to determine the impact of VBQ scores on the risk of subsequent fragility fractures after cement augmentation for osteoporotic vertebral compression fracture (OVCF).

METHODS

Between January and December 2018, 251 consecutive patients who received cement augmentation for OVCF were included in the study. VBQ scores were calculated using noncontrast T1-weighted MRI. Correlations between VBQ and T-scores were assessed. Patients were divided into 2 groups based on the presence or absence of subsequent fragility fractures after cement augmentation: (1) no Subsequent fracture group and (2) subsequent fracture group. Comparisons between the groups were conducted, and risk factors of subsequent fractures were evaluated using multivariable logistic regression analysis.

RESULTS

Of the patients, 42 (16.7%) experienced subsequent fractures after cement augmentation. The VBQ score showed moderate correlations with the T-score of the hip (r = -0.523, P < .001) and the T-score of the lumbar spine (r = -0.383, P < .001). The subsequent fracture group had a significantly higher VBQ score (4.02 ± 0.56 vs 3.52 ± 0.62, P < .001) and a worse T-score of hip (-3.06 ± 1.28 vs -2.42 ± 0.98, P = .004). In the multivariable analysis, the VBQ score was the only independent predictor of subsequent fractures with 2.799 odds ratio (1.342 to 5.841, P = .006).

CONCLUSION

In patients who received cement augmentation for OVCF, the VBQ score is significantly correlated with the DXA T-score and may be a more reliable predictor of subsequent fragility fractures.

Predicting the Occurrence of New Vertebral Fractures Using the Vertebral Bone Quality Score: A Prospective Cohort Study Using 11-Year MRI Follow-up Data from the Minami-Aizu Study

Background

Previous studies have recognized the potential of the Vertebral Bone Quality (VBQ) score for predicting fractures. However, these studies often have lacked longitudinal perspectives and have not focused on community populations. Our study aimed to enhance the predictive capacity of the VBQ score by investigating its correlation with new vertebral fractures (NVFs) that were detected 11 years later in a community-based cohort and by developing a comprehensive prediction model.

Methods

This study was a population-based study conducted in the Minami-Aizu area in Fukushima Prefecture, Japan. One hundred and thirty participants voluntarily underwent T1-weighted magnetic resonance imaging (MRI) of the lumbar spine in 2004 and 2015. VBQ scores were ascertained from the 2004 scans. NVFs that occurred between 2004 and 2015 were detected based on a ≥20% reduction in vertebral height on the midsagittal sections of the MRI. Other predictors that were considered included age, sex, body mass index, smoking history, heart disease, cerebrovascular disease, respiratory disease, and existing vertebral fractures (EVFs). A logistic regression analysis was conducted.

Results

The logistic regression analysis indicated that the VBQ score, age, sex, and EVFs were significant predictors of NVFs. The prediction model showed an area under the curve of 0.84, suggesting excellent discriminatory power. The calibration capacity was confirmed using the Hosmer-Lemeshow test.

Conclusions

The VBQ score was significantly correlated with the long-term incidence of NVFs in a community population. The prediction model exhibited satisfactory discrimination and calibration capacities, highlighting the use of the VBQ score as a potential tool for long-term prediction of NVFs.

Level of Evidence

Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

Using advanced imaging to measure bone density, compression fracture risk, and risk for construct failure after spine surgery

Low bone mineral density (BMD) can predispose to vertebral body compression fractures and postoperative instrumentation failure. DEXA is considered the gold standard for measurement of BMD, however it is not obtained for all spine surgery patients preoperatively. There is a growing body of evidence suggesting that more routinely acquired spine imaging studies such as computed tomography (CT) and magnetic resonance imaging (MRI) can be opportunistically used to measure BMD. Here we review available studies that assess the validity of opportunistic screening with CT-derived Hounsfield Units (HU) and MRI-derived vertebral vone quality (VBQ) to measure BMD of the spine as well the utility of these measures in predicting postoperative outcomes. Additionally, we provide screening thresholds based on HU and VBQ for prediction of osteopenia/ osteoporosis and postoperative outcomes such as cage subsidence, screw loosening, proximal junctional kyphosis, and implant failure.

The quality of bone and paraspinal muscle in the fragility osteoporotic vertebral compression fracture: a comprehensive comparison between different indicators

PURPOSE

To evaluate the value of five indicators in predicting OVCF through a retrospective case-control study, and explore the internal correlation of different indicators.

METHOD

We retrospectively enrolled patients over 50 years of age who had been subjected to surgery for fragility OVCF at China Japan Friendship Hospital from January 2021 to September 2023. Demographic characteristics, T-score based on dual-energy X-ray absorptiometry (DXA), CT-based Hounsfield unit (HU) value, vertebral bone quality (VBQ) score based on magnetic resonance imaging (MRI), relative cross-sectional area (rCSA) and the rate of fat infiltration (FI) of paraspinal muscle were collected. A 1:1 age- and sex-matched, fracture-free control group was established from patients admitted to our hospital for lumbar spinal stenosis or lumbar disk herniation.

RESULTS

A total of 78 patients with lumbar fragility OVCF were included. All the five indicators were significantly correlated with the occurrence of OVCFs. Logistic regression analysis showed that average HU value and VBQ score were significantly correlated with OVCF. The area under the curve (AUC) of VBQ score was the largest (0.89). There was a significantly positive correlation between average T-score, average HU value and average total rCSA. VBQ score was significantly positive correlated with FI.

CONCLUSION

VBQ score and HU value has good value in predicting of fragility OVCF. In addition to bone mineral density, we should pay more attention to bone quality, including the fatty signal intensity in bone and the FI in paraspinal muscle.

Application of a Magnetic Resonance Imaging-Based Lumbar Vertebral Bone Quality Scoring System in Patients with Degenerative Lumbar Scoliosis

BACKGROUND

Although dual-energy X-ray absorptiometry is still the gold standard for diagnosing osteoporosis, it can lead to inaccurate bone mineral density measurements due to lumbar degeneration and scoliosis. Many researchers have investigated diagnostic methods for osteoporosis in patients with degenerative lumbar scoliosis (DLS). This study aimed to investigate the differences between conventional vertebral bone quality (VBQ) scores and modified VBQ scores in patients with DLS and the influence of lumbar scoliosis on VBQ scores.

METHODS

We retrospectively collected the clinical and radiological data of 68 patients with DLS admitted to Sun Yat-sen Memorial Hospital from July 2018 to April 2023. The patients were classified into one of 2 groups based on the T score of the left femoral neck. VBQ scores relative to cerebrospinal fluid at different levels, VBQ scores on different planes and single-level VBQ scores were compared. Receiver operating characteristic analysis was also performed. Different modified VBQ scores were compared between the moderate scoliosis group (10°

RESULTS

There were no significant differences in VBQ scores relative to cerebrospinal fluid at different levels (P = 0.983), on different planes (P = 0.832) or at single-level (P = 0.996). All the VBQ scores were negatively correlated with the T score of the left femoral neck. There were no significant differences in the modified VBQ scores between the moderate and severe scoliosis groups.

CONCLUSIONS

Different modified VBQ scores can be used as supplementary methods for diagnosing osteoporosis in patients with DLS. Lumbar scoliosis may not significantly affect the VBQ score.

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Key Words

• Bone mineral density
• Degenerative lumbar scoliosis
• Magnetic resonance imaging
• Osteoporosis
• Vertebral bone quality score

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MESH Headings

• Humans
• Scoliosis/diagnostic imaging
• Female
• Lumbar Vertebrae/diagnostic imaging
• Male
• Aged
• Retrospective Studies
• Middle Aged
• Magnetic Resonance Imaging/methods
• Bone Density
• Absorptiometry, Photon/methods
• Osteoporosis/diagnostic imaging
• Osteoporosis/complications
• Aged, 80 and over

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Affiliation(s)

Wanli Zheng Department of Spine Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Department of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
Weitao Han Department of Spine Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
Song Jin Department of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
Mingxi Zhu Department of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
Zhengqi Huang Department of Spine Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
Tianyu Qin Department of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
Ming Shi Department of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
Bo Gao Department of Spine Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
Wei Ye Department of Spine Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

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Simplified S1 Vertebral Bone Quality Score in the Assessment of Patients with Vertebral Fragility Fractures

OBJECTIVE

To evaluate the effectiveness of the S1 vertebral bone quality (VBQ) score in assessing bone quality among patients with vertebral fragility fractures (VFF). Additionally, whether the combination of S1 VBQ and Hounsfield unit (HU) values improves the predictive accuracy of VFF.

METHODS

Using lumbar noncontrast computed tomography and T1-weighted magnetic resonance imaging, we measured L1 HU values, S1 VBQ, and L1-L4 VBQ. To assess their predictive performance for VFF, we constructed receiver operating characteristic curves. We also compared the diagnostic efficacy of HU values with that of S1 VBQ and L1--L4 VBQ values for the joint diagnosis of VFF. The Delong test was used to compare the value of individual or combined predictions of VFF.

RESULTS

In comparison to the nonfracture group, all patients exhibited markedly elevated S1 VBQ and L1--L4 VBQ and notably reduced HU values (P < 0.001). Multivariate analysis revealed that elevated S1 VBQ, increased L1--L4 VBQ, and decreased HU values independently correlated with VFF development. The areas under the curve for VFF prediction were 0.806 for S1 VBQ, 0.799 for L1--L4 VBQ, and 0.820 for HU values. According to the Delong test, the combination of HU values with S1 VBQ/L1--L4 VBQ significantly improved the diagnostic accuracy.

CONCLUSIONS

The simplified S1 VBQ is a valuable tool for predicting the occurrence of VFF and can be used as an alternative to the L1--L4 VBQ. In addition, the combination of S1 VBQ and HU values can significantly improve the predictive value of VFF.

Comparison of the predictive values of MRI-based vertebral bone quality scores for the determination of osteoporosis in different diseases

PURPOSE

The study aimed to examine the consistency of vertebral bone quality (VBQ) scores for assessing osteoporosis across different etiologies and explore the predictive value of various VBQ scores for fragility vertebral fractures.

METHODS

Patients with fragility fractures were matched by age and sex to patients with lumbar degeneration. VBQ scores were calculated in T1- and T2-weighted magnetic resonance imaging. Differential analysis of bone quality was performed based on etiology.

RESULTS

A total of 96 inpatients were retrospectively enrolled. VBQT1 scores were only sensitive to osteoporotic bone in degenerative group (p < 0.01), failing to identify osteoporosis in fractured group (p > 0.05). For the degenerative group, the area under the curve (AUC) using the VBQT1 scores to differentiate osteoporosis was 0.72. After controlling the confounding variables, only VBQT2 scores were significantly higher in fractured group than degenerative group, with a greater AUC of 0.82 predicting fragility fractures. VBQT1 scores moderately correlated with femoral neck T-scores in degenerative group (r = -0.45, p < 0.01) but not in fractured group (r = -0.24, p > 0.05). VBQT2 scores were not associated with femoral neck T-scores (p > 0.05).

CONCLUSION

This study is the first to evaluate the effectiveness of VBQs scores in assessing osteoporosis post-fracture. Only non-fractured patients' bone quality is fully susceptible to VBQT1 scores. While VBQT1 scores may not correlate with fragility fractures, VBQT2 scores present a viable alternative.

Simplified S1 vertebral bone quality (vbq) score to assess proximal junctional kyphosis after Lenke 5 adolescent idiopathic scoliosis surgery

BACKGROUND

Proximal junctional kyphosis (PJK) is a common complication following corrective surgery for adolescent idiopathic scoliosis (AIS) with a Lenke 5 curve. Previous studies have suggested that PJK may be associated with osteopenia, which is prevalent in AIS patients. MRI-based vertebral bone quality (VBQ) scores have been proposed as a valuable tool to assess preoperative bone quality. However, accurately measuring VBQ scores in Lenke 5 AIS patients with a structural lumbar curve can be challenging. Recently, a simplified S1 VBQ score has been proposed as an alternative method when the traditional VBQ score is not applicable. This study aims to evaluate the predictive value of the simplified S1 VBQ score in predicting the occurrence of PJK after corrective surgery for Lenke 5 AIS.

METHODS

We conducted a retrospective analysis of patient data to assess the predictive utility of the S1 VBQ score for PJK in Lenke 5 AIS patients. Demographic, radiographic, and surgical data were collected, and S1 VBQ scores were calculated based on preoperative T1-weighted MRI images. Univariate analysis, linear regression, and multivariate logistic regression were performed to identify potential risk factors for PJK and to assess the correlation between other variables and the S1 VBQ score. Receiver operating characteristic analysis and area under the curve values were used to evaluate the predictive efficiency of the S1 VBQ score for PJK.

RESULTS

A total of 105 patients (aged 15.50 ± 2.36 years) were included in the analysis, of whom 24 (22.9%) developed PJK. S1 VBQ scores were significantly higher in the PJK group compared to the non-PJK group (2.83 ± 0.44 vs. 2.48 ± 0.30, P < 0.001), and there was a significant positive correlation between the S1 VBQ score and proximal junctional angle (PJA) (r = 0.46, P < 0.0001). Multivariate analysis revealed that the S1 VBQ scores and preoperative thoracic kyphosis (TK) were significant predictors of PJK.

CONCLUSION

This study provided evidence that higher S1 VBQ scores were independently associated with PJK occurrence following corrective surgery for Lenke 5 AIS. Preoperative measurement of the S1 VBQ score on MRI may serve as a valuable tool in planning surgical correction for Lenke 5 AIS.

Which Indicator Among Lumbar Vertebral Hounsfield Unit, Vertebral Bone Quality, or Dual-Energy X-Ray Absorptiometry-Measured Bone Mineral Density Is More Efficacious in Predicting Thoracolumbar Fragility Fractures?

OBJECTIVE

Hounsfield units (HU), vertebral bone quality (VBQ), and bone mineral density (BMD) can all serve as predictive indicators for thoracolumbar fragility fractures. This study aims to explore which indicator provides better risk prediction for thoracolumbar fragility fractures.

METHODS

Patients who have received medical attention from The First Affiliated Hospital of Anhui Medical University for thoracolumbar fragility fractures were selected. A total of 78 patients with thoracolumbar fragility fractures were included in the study. To establish a control group, 78 patients with degenerative spinal diseases were matched to the fracture group on the basis of gender, age, and body mass index. The lumbar vertebral HU, the VBQ, and the BMD were obtained for all the 156 patients through computed tomography, magnetic resonance imaging, and dual-energy x-ray absorptiometry (DEXA). The correlations among these parameters were analyzed. The area under curve (AUC) analysis was employed to assess the predictive efficacy and thresholds of lumbar vertebral HU, VBQ, and BMD in relation to the risk of thoracolumbar fragility fractures.

RESULTS

Among the cohort of 156 patients, lumbar vertebral HU exhibited a positive correlation with BMD (p < 0.01). Conversely, VBQ showed a negative correlation with HU, BMD (p < 0.05). HU and BMD displayed a favorable predictive efficacy for thoracolumbar fragility fractures (p < 0.01), with HU (AUC = 0.863) showcasing the highest predictive efficacy, followed by the DEXA-measured BMD (AUC = 0.813). VBQ (AUC = 0.602) ranked lowest among the 3 indicators. The thresholds for predicting thoracolumbar fragility fractures were as follows: HU (88),VBQ (3.37), and BMD (0.81).

CONCLUSION

All 3 of these indicators, HU, VBQ, and BMD, can predict thoracolumbar fragility fractures. Notably, lumbar vertebral HU exhibits the highest predictive efficacy, followed by the BMD obtained through DEXA scanning, with VBQ demonstrating the lowest predictive efficacy.