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Zhou F, Zhang W, Geng J, Liu Y, Yuan Y, Ma K, Cheng Z, Huang P, Cheng X, Wang L, Liu Y. Comparisons of Hounsfield units and volumetric bone density in discriminating vertebral fractures on lumbar CT scans. Br J Radiol 2024; 97:1003-1009. [PMID: 38457607 DOI: 10.1093/bjr/tqae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/11/2023] [Accepted: 03/05/2024] [Indexed: 03/10/2024] Open
Abstract
OBJECTIVES To compare the performance of areal Hounsfield units (aHUs), volumetric Hounsfield units (vHUs), and volumetric bone mineral density (vBMD) by quantitative CT (QCT) in discriminating vertebral fractures (VFs) risk. METHODS We retrospectively included CT scans of the lumbar spine 101 VFs cases (60 women, mean age: 64 ± 4 years; 41 men, mean age: 73 ± 10 years) and sex- and age-matched 101 control subjects (60 women, mean age: 64 ± 4 years; 41 men, mean age: 72 ± 7 years). In order to assess the discriminatory capability of aHU, vHU, and vBMD measurements at the L1 and L2 levels in identifying VFs, we conducted binary logistic regression and receiver operating characteristic (ROC) curve analyses in men and women. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. RESULTS In both men and women with and without VFs, aHU, vHU, and vBMD were highly correlated with each other (r2 from 0.832 to 0.957, all P < .001). There was a statistically significant difference in aHU, vHU, and vBMD between subjects with and without VFs (P < .001). When age, gender, and BMI were taken into account as covariances and adjusted simultaneously, odds ratios (ORs) for aHU, vHU, and vBMD values, which represent the risk of VFs, were significant (P < .001). Compared with aHU and vHU, vBMD was more strongly associated with VF risk (vBMD: OR, 6.29; 95% CI, 3.83-10.35 vs vHU: OR, 3.64; 95% CI, 2.43-5.46 vs aHU: OR, 2.56; 95% CI, 1.79-3.67). In both men and women, further, vBMD had higher values for AUC, sensitivity, specificity, PPV, and NPV compared to vHU, with vHU in turn surpassing aHU. The area under the receiver operating characteristic curve (AUC) for discriminating VFs using the average aHU, vHU, and vBMD of 2 vertebrae was 0.72, 0.77, and 0.87 in men and 0.76, 0.79, and 0.86 in women. In both men and women, there exist statistically significant differences in the AUC when employing the 3 measurements-namely, aHU, vHU, and vBMD-to discriminate fractures (P < .05). CONCLUSIONS The QCT-measured vBMD is more associated with acute VFs than vHU and aHU values of the lumbar spine. Although the use of vHU and aHU values for the diagnosis of osteoporosis and discriminating fracture risk is limited to scanner- and imaging protocol-specific, they have great potential for opportunistic osteoporosis screening, particularly vHU. ADVANCES IN KNOWLEDGE The novelty of this study presents a comparison of the VF discriminative capabilities among aHU, vHU, and vBMD. The vHU values introduced in this study demonstrate a greater capacity to discriminate fractures compared to aHU, presenting an improved clinical choice. Although its discriminatory capability is slightly lower than that of vBMD, it is more convenient to measure and does not require specialized software.
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Affiliation(s)
- Fengyun Zhou
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Wenshuang Zhang
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Jian Geng
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yandong Liu
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yi Yuan
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Kangkang Ma
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Zitong Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Pengju Huang
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
- JST sarcopenia Research Centre, National Center for Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yajun Liu
- JST sarcopenia Research Centre, National Center for Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
- Department of Spine Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
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Zarecki P, Gossiel F, Grillari J, Debono M, Hackl M, Eastell R. Week-by-week changes in serum levels of bone-related circulating microRNAs and bone turnover markers. JBMR Plus 2024; 8:ziae035. [PMID: 38606148 PMCID: PMC11008742 DOI: 10.1093/jbmrpl/ziae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/27/2024] [Accepted: 03/11/2024] [Indexed: 04/13/2024] Open
Abstract
MicroRNAs are involved in post-transcriptional regulation of gene expression. Due to their regulatory role, microRNAs are differently expressed during specific conditions in healthy and diseased individuals, so microRNAs circulating in the blood could be used as diagnostic and prognostic biomarkers for various diseases and conditions. We want to investigate the variability of circulating microRNAs and bone turnover markers in weekly time intervals in older women. In a single-site longitudinal study, a panel of 19 bone-related miRNAs was measured using the osteomiR RT-qPCR assay in serum samples of 35 postmenopausal women divided into 3 groups: healthy controls (n = 12), low BMD (n = 14), and vertebral fractures (n = 9). Blood samples for measurement of CTX, PINP, OC, and bone ALP were collected once per week for 8 weeks at 9:00 AM after overnight fasting. Serum samples from all participants were analyzed for 19 microRNA bone biomarkers and 4 bone turnover markers over 8 weeks. We analyzed the data using a mixed model analysis of variance and found no significant changes between week-by-week time points in any of the groups. To estimate intraindividual variability between weekly time points, we have calculated the median coefficient of variation (CV). This was between 28.4% and 80.2% for microRNA, with an assay CV of 21.3%. It was between 8.5% and 15.6% for bone turnover markers, with an assay CV of 3.5% to 6.5%. The intraindividual variability was similar between groups. Circulating microRNAs measured in serum had a higher weekly intraindividual variability than bone turnover markers due in part to a higher assay CV.
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Affiliation(s)
- Patryk Zarecki
- School of Medicine and Population Health, Division of Clinical Medicine, University of Sheffield, S10 2RX Sheffield, United Kingdom
| | - Fatma Gossiel
- School of Medicine and Population Health, Division of Clinical Medicine, University of Sheffield, S10 2RX Sheffield, United Kingdom
| | - Johannes Grillari
- Department of Biotechnology, Institute of Molecular Biotechnology, University of Natural Resources and Life Sciences, 1180 Vienna, Austria
- Ludwig Boltzmann Institute for Traumatology, the Research Center in Cooperation with AUVA, 1200 Vienna, Austria
- Austrian Cluster for Tissue Regeneration, 1200 Vienna, Austria
| | - Miguel Debono
- School of Medicine and Population Health, Division of Clinical Medicine, University of Sheffield, S10 2RX Sheffield, United Kingdom
| | - Matthias Hackl
- Austrian Cluster for Tissue Regeneration, 1200 Vienna, Austria
- TAmiRNA GmbH, 1110 Vienna, Austria
| | - Richard Eastell
- School of Medicine and Population Health, Division of Clinical Medicine, University of Sheffield, S10 2RX Sheffield, United Kingdom
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Lin J, Liu Z, Fu G, Zhang H, Chen C, Qi H, Jiang K, Zhang C, Ma C, Yang K, Wang C, Tan B, Zhu Q, Ding Y, Li C, Zheng Q, Cai D, Lu WW. Distribution of bone voids in the thoracolumbar spine in Chinese adults with and without osteoporosis: A cross-sectional multi-center study based on 464 vertebrae. Bone 2023; 172:116749. [PMID: 36972755 DOI: 10.1016/j.bone.2023.116749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/07/2023] [Accepted: 03/22/2023] [Indexed: 03/28/2023]
Abstract
Bone void is a novel intuitive morphological indicator to assess bone quality but its use in vertebrae has not been described. This cross-sectional and multi-center study aimed to investigate the distribution of bone voids in the thoracolumbar spine in Chinese adults based on quantitative computed tomography (QCT). A bone void was defined as a trabecular net region with extremely low bone mineral density (BMD) (<40 mg/cm3), detected by an algorithm based on phantom-less technology. A total of 464 vertebrae from 152 patients (51.8 ± 13.4 years old) were included. The vertebral trabecular bone was divided into eight sections based on the middle sagittal, coronal, and horizontal planes. Bone void of the whole vertebra and each section were compared between healthy, osteopenia, and osteoporosis groups and between spine levels. Receiver operator characteristic (ROC) curves were plotted and optimum cutoff points of void volume between the groups were obtained. The total void volumes of the whole vertebra were 124.3 ± 221.5 mm3, 1256.7 ± 928.7 mm3, and 5624.6 ± 3217.7 mm3 in healthy, osteopenia, and osteoporosis groups, respectively. The detection rate of vertebrae with bone voids was higher and the normalized void volume was larger in the lumbar than in thoracic vertebrae. L3 presented the largest void (2165.0 ± 3396.0 mm3), while T12 had the smallest void (448.9 ± 699.4 mm3). The bone void was mainly located in the superior-posterior-right section (40.8 %). Additionally, bone void correlated positively with age and increased rapidly after 55 years. The most significant void volume increase was found in the inferior-anterior-right section whereas the least increase was found in the inferior-posterior-left section with aging. The cutoff points were 345.1 mm3 between healthy and osteopenia groups (sensitivity = 0.923, specificity = 0.932) and 1693.4 mm3 between osteopenia and osteoporosis groups (sensitivity = 1.000, specificity = 0.897). In conclusion, this study demonstrated the bone void distribution in vertebrae using clinical QCT data. The findings provide a new perspective for the description of bone quality and showed that bone void could guide clinical practice such as osteoporosis screening.
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Affiliation(s)
- Junyu Lin
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China; Department of Orthopaedics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
| | - Zhuojie Liu
- Department of Orthopaedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China.
| | - Guangtao Fu
- Department of Orthopaedics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, RP, China.
| | - Haiyan Zhang
- Department of Orthopaedics, Academy of Orthopedics·Guangdong Province, Guangdong Provincial Key Laboratory of Bone and Joint Degeneration Diseases, The Third Affiliated Hospital of Southern Medical University, Guangzhou, RP, China
| | - Chong Chen
- Department of Orthopaedics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, RP, China
| | - Huan Qi
- Bone's Technology Limited, Hong Kong
| | | | | | - Chi Ma
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China.
| | - Kedi Yang
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China
| | - Chenmin Wang
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China; Department of Orthopaedics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
| | - Baoyu Tan
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China; Department of Orthopaedics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
| | - Qingan Zhu
- Division of Spinal Surgery, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Yue Ding
- Department of Orthopaedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China.
| | - Chunhai Li
- Department of Orthopaedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China.
| | - Qiujian Zheng
- Department of Orthopaedics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, RP, China.
| | - Daozhang Cai
- Department of Orthopaedics, Academy of Orthopedics·Guangdong Province, Guangdong Provincial Key Laboratory of Bone and Joint Degeneration Diseases, The Third Affiliated Hospital of Southern Medical University, Guangzhou, RP, China.
| | - William Weijia Lu
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China; Department of Orthopaedics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, PR China.
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Lin W, He C, Xie F, Chen T, Zheng G, Yin H, Chen H, Wang Z. Discordance in lumbar bone mineral density measurements by quantitative computed tomography and dual-energy X-ray absorptiometry in postmenopausal women: a prospective comparative study. Spine J 2023; 23:295-304. [PMID: 36343911 DOI: 10.1016/j.spinee.2022.10.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/18/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND CONTEXT Level-specific lumbar bone mineral density (BMD) evaluation of a single vertebral body can provide useful surgical planning and osteoporosis management information. Previous comparative studies have primarily focused on detecting spinal osteoporosis but not at specific levels. PURPOSE To compare the detection rate of lumbar osteoporosis between quantitative computed tomography (QCT) and dual-energy X-ray absorptiometry (DXA); to explore and analyze the distribution models of QCT-derived BMD and DXA T-score at the specific levels; and to evaluate the diagnostic accuracy of level-specific BMD thresholds for the prediction of osteoporotic vertebral compression fracture (OVCF) in postmenopausal women. STUDY DESIGN/SETTING A comparative analysis of prospectively collected data comparing QCT-derived BMD with DXA T-score. PATIENT SAMPLE A total of 296 postmenopausal women who were referred to the spine service of a single academic institution were enrolled. OUTCOME MEASURES QCT-derived BMD and DXA T-score at specific levels, with or without osteoporotic vertebral compression fracture. METHODS Postmenopausal women who underwent QCT and DXA within a week of admission from May 2019 to June 2022 were enrolled. The diagnostic criteria for osteoporosis recommended by the World Health Organization and the American College of Radiology were used for lumbar osteoporotic diagnosis. To evaluate differences in lumbar BMD measurements at specific levels, a threshold of T score=-2.5 and QCT-derived BMD = 80 mg/cm3 were used to categorize level-specific lumbar BMD into low and high BMD. Disagreements in BMD categorization between DXA and QCT were classified as a minor or major discordance based on the definition by Woodson. Data between QCT and DXA were visualized in a stacked bar plot and analyzed. Correlations between DXA and QCT at the specific levels were evaluated using Pearson's linear correlation and scatter plots. Curve fitting of BMD distribution, receiver operating characteristic (ROC) and area under the curve (AUC) for each single vertebral level was performed. RESULTS Of the 296 patients, QCT diagnosed 61.1% as osteoporosis, 30.4% as osteopenia and 8.4% as normal. For those screened with DXA, 54.1% of the patients had osteoporosis, 29.4% had osteopenia and 16.6% had normal BMD. Diagnoses were concordant for 194 (65.5%) patients. Of the other 102 discordant patients, 5 (1.7%) were major and 97 (32.8%) were minor. Significant correlations in level-specific BMD between DXA and QCT were observed (p<.001), with Pearson's correlation coefficients ranging from 0.662 to 0.728. The correlation strength was in the order of L1 > L2 > L3 > L4. The low BMD detection rate for QCT was significantly higher than that for DXA at the L3 and L4 levels (65% vs. 47.9% and 68.1% vs 43.7, respectively, p<.001). Patients with OVCF showed significantly lower QCT-derived BMD (47.2 mg/cm3 vs. 83.2 mg/cm3, p<.001) and T-score (-3.39 vs. -1.98, p<.001) than those without OVCF. Among these patients, 82.8% (101/122) were diagnosed with osteoporosis by QCT measurement, while only 74.6% (91/122) were diagnosed by DXA. For discrimination between patients with and without OVCF, QCT-derived BMD showed better diagnosed performance (AUC range from 0.769 to 0.801) than DXA T-score (AUC range from 0.696 to 0.753). CONCLUSION QCT provided a more accurate evaluation of lumbar osteoporosis than DXA. The QCT-derived BMD measurements at a specific lumbar level have a high diagnostic performance for OVCF.
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Affiliation(s)
- Wentao Lin
- Department of Spine Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China
| | - Chaoqin He
- Department of Spine Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China; The Second Clinical Medical College of Southern Medical University, Guangzhou, Guangdong, China
| | - Faqin Xie
- Department of Spine Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China
| | - Tao Chen
- Department of Spine Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China; The Second Clinical Medical College of Southern Medical University, Guangzhou, Guangdong, China
| | - Guanghao Zheng
- Department of Spine Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China; The Second Clinical Medical College of Southern Medical University, Guangzhou, Guangdong, China
| | - Houjie Yin
- Department of Spine Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China; The Second Clinical Medical College of Southern Medical University, Guangzhou, Guangdong, China
| | - Haixiong Chen
- Department of Radiology and Image, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China
| | - Zhiyun Wang
- Department of Spine Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China.
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Haffer H, Muellner M, Chiapparelli E, Moser M, Dodo Y, Zhu J, Shue J, Sama AA, Cammisa FP, Girardi FP, Hughes AP. Bone quality in patients with osteoporosis undergoing lumbar fusion surgery: analysis of the MRI-based vertebral bone quality score and the bone microstructure derived from microcomputed tomography. Spine J 2022; 22:1642-1650. [PMID: 35675866 DOI: 10.1016/j.spinee.2022.05.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 05/26/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT Osteoporosis is a risk factor for instrumentation failure in spine surgery. Bone strength is commonly assessed by bone mineral density (BMD) as a surrogate marker. However, BMD represents only a portion of bone strength and does not capture the qualitative dimensions of bone. Recently, the magnetic resonance imaging (MRI)-based vertebral bone quality (VBQ) score was introduced as a novel marker of bone quality. However, it is still unclear if the VBQ score correlates with in-vivo bone microstructure. PURPOSE The aims of the study were (1) to demonstrate differences in MRI-based (VBQ) and in-vivo (microcomputed tomography; μCT) bone quality between osteopenic/osteoporotic and normal bone, (2) to show the correlation between VBQ, bone microstructure and volumetric BMD (vBMD), and (3) to determine the predictive value of the VBQ score for the prevalence of osteopenia/osteoporosis. STUDY DESIGN/SETTING Retrospective cross-sectional study. PATIENT SAMPLE 267 patients who underwent posterior lumbar fusion surgery from 2014 to 2021 at a single academic institution. Bone biopsies were harvested intraoperatively in 118 patients. OUTCOME MEASURES VBMD, VBQ score, and bone microstructure parameters derived from μCT. METHODS Quantitative computed tomography (QCT) measurements were performed at the lumbar spine and the L1/L2 average was used to categorize patients with a vBMD ≤120mg/cm3 as osteopenic/osteoporotic. The VBQ score was determined by dividing the median signal intensity of the L1-L4 vertebrae by the signal intensity of the cerebrospinal fluid using sagittal T1-weighted MRI scans. Intraoperative bone biopsies from the posterior superior iliac spine were obtained and evaluated with μCT. VBQ scores and μCT parameters were compared between the normal and the osteopenic/osteoporotic group. Correlations between VBQ score, μCT parameters and vBMD were assessed with Spearman's correlation (ρ). Receiver operating characteristic (ROC) analysis was performed to determine the VBQ score as a predictor for osteopenia/osteoporosis. Multiple linear regression analysis with vBMD L1/L2 as outcome was used to identify independent predictors from VBQ, μCT parameters and demographics. RESULTS 267 patients (55.8% female, age 63.3 years, BMI 29.7 kg/m2; n=118 with bone biopsy) with a prevalence of osteopenia/osteoporosis of 65.2% were analyzed. In the osteopenic/osteoporotic group the VBQ score, structured model index (SMI), and trabecular separation (Tb.Sp) were significantly higher, whereas bone volume fraction (BV/TV), connectivity density (Conn.D) and trabecular number (Tb.N) were significantly lower. There were significant correlations between VBQ and μCT parameters ranging from ρ=-.387 to ρ=0.314 as well as between vBMD and μCT parameters ranging from ρ=-.425 to ρ=.421, and vBMD and VBQ (ρ=-.300, p<.001). ROC analysis discriminated osteopenia/osteoporosis with a sensitivity of 84.7% and a specificity of 40.6% at a VBQ score threshold value of 2.18. Age, BV/TV and trabecular thickness (Tb.Th), but not VBQ, were significant independent predictors for vBMD (corrected R2=0.434). CONCLUSIONS This study demonstrated for the first time that the VBQ score is associated with trabecular microstructure determined by μCT. The bone microstructure and VBQ score were significantly different in patients with impaired vBMD. However, the ability to predict osteopenia/osteoporosis with the VBQ score was moderate. The VBQ score appears to reflect additional bone quality characteristics and might have a complementary role to vBMD. This enhances our understanding of the biological background of the radiographic VBQ score and might be a take-off point to evaluate the clinical utility of it as non-invasive screening tool for bone quality.
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Affiliation(s)
- Henryk Haffer
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA; Center for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Maximilian Muellner
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA; Center for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Erika Chiapparelli
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Manuel Moser
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA; Department of Spine Surgery, Lucerne Cantonal Hospital, Lucerne, Switzerland
| | - Yusuke Dodo
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Jiaqi Zhu
- Department of Epidemiology and Biostatistics, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Jennifer Shue
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Andrew A Sama
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Frank P Cammisa
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Federico P Girardi
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Alexander P Hughes
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, NY, USA.
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Liu ZJ, Zhang C, Ma C, Qi H, Yang ZH, Wu HY, Yang KD, Lin JY, Wong TM, Li ZY, Li CH, Ding Y. Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation. J Orthop Translat 2022; 33:24-30. [PMID: 35228994 PMCID: PMC8844761 DOI: 10.1016/j.jot.2021.11.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/20/2021] [Accepted: 11/22/2021] [Indexed: 12/29/2022] Open
Abstract
Background Objective Methods Results Conclusion Translational potential statement
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Affiliation(s)
- Zhuo-Jie Liu
- Department of Orthopaedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Cheng Zhang
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China
- Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, Guangdong Engineering Technology Research Center for Orthopaedic Trauma Repair, Department of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China
| | - Chi Ma
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China
- Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, Guangdong Engineering Technology Research Center for Orthopaedic Trauma Repair, Department of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China
| | - Huan Qi
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China
- Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, Guangdong Engineering Technology Research Center for Orthopaedic Trauma Repair, Department of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China
| | - Ze-Hong Yang
- Department of Medical Imaging, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Hao-Yu Wu
- Department of Orthopaedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Ke-Di Yang
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China
- Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, Guangdong Engineering Technology Research Center for Orthopaedic Trauma Repair, Department of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China
| | - Jun-Yu Lin
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China
- Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, Guangdong Engineering Technology Research Center for Orthopaedic Trauma Repair, Department of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China
| | - Tak-Man Wong
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, PR China
- Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, Guangdong Engineering Technology Research Center for Orthopaedic Trauma Repair, Department of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China
| | - Zhao-Yang Li
- School of Materials Science & Engineering, Tianjin University, Tianjin, PR China
| | - Chun-Hai Li
- Department of Orthopaedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China
- Corresponding author. Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, 520120, Guangzhou, Guangdong, PR China.
| | - Yue Ding
- Department of Orthopaedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, PR China
- Corresponding author. Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, 520120, Guangzhou, Guangdong, PR China.
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Huang M, Hung VWY, Li TK, Law SW, Wang Y, Chen S, Qin L. Performance of HR-pQCT, DXA, and FRAX in the discrimination of asymptomatic vertebral fracture in postmenopausal Chinese women. Arch Osteoporos 2021; 16:125. [PMID: 34480663 PMCID: PMC8418592 DOI: 10.1007/s11657-021-00939-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 05/11/2021] [Indexed: 02/03/2023]
Abstract
UNLABELLED Volumetric bone density (vBMD) and trabecular microarchitecture measured by high-resolution peripheral quantitative computed tomography (HR-pQCT) can discriminate the patients with high risk of asymptomatic vertebral fracture (VF) in postmenopausal Chinese women. These findings suggested that HR-pQCT could provide additional information on bone quality of the patients with asymptomatic VF. INTRODUCTION Although there were several studies using HR-pQCT to investigate asymptomatic VF, it remains uncertain if HR-pQCT parameters can discriminate asymptomatic VF patients, especially in Chinese population. The purpose of this study was to investigate whether bone quality measured by HR-pQCT could discriminate asymptomatic VF independent of hip areal bone mineral density (aBMD) measured by dual-energy x-ray absorptiometry (DXA) and fracture risks evaluated using built-in Fracture Risk Assessment Tool (FRAXBMD). METHODS This is a nested case-control study. One hundred seventy-five ambulatory Chinese postmenopausal women aged 60-79 years were retrieved from Normative Reference Standards (NRS) cohort in Hong Kong. DXA was used to identify VF from lateral spine images (VFA) using Genant's semi-quantitative method. Major osteoporotic fracture risk was calculated using FRAX tool. HR-pQCT was used to assess vBMD, microarchitecture, and estimated strength at both distal radius and tibia. Comparison of HR-pQCT parameters between asymptomatic VF and control was performed using covariance analysis. Logistic regression analysis was performed for calculating the adjusted odds ratio (OR) with 95% confidence intervals (CI) of fracture status as per SD decrease in HR-pQCT parameters. RESULTS Women with asymptomatic VF were older than those of the control in our NRS cohort. Nevertheless, after adjusted for covariance, asymptomatic VF showed significantly lower trabecular vBMD (Tb.vBMD) at radius but higher SMI at tibia as compared with those of the control. Tb.vBMD at radius yielded the highest value of area under the curve (AUC) as compared with total hip aBMD and FRAXBMD. However, no significant difference was found among each other. CONCLUSION Tb.vBMD at the radius and SMI at the tibia provided by HR-pQCT can discriminate asymptomatic VF independent of hip aBMD and FRAXBMD by DXA in postmenopausal women.
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Affiliation(s)
- Meiling Huang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China
- Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Vivian Wing-Yin Hung
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China
| | - Tsz Kiu Li
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China
| | - Sheung Wai Law
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yulong Wang
- Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Shangjie Chen
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
- Department of Rehabilitation, Shenzhen Baoan Hospital Affiliated to Southern Medical University, Shenzhen, China.
| | - Ling Qin
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China.
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