The DOI matches its Crossref record.
The fracture predictive ability of lumbar spine BMD and TBS as calculated based on different combinations of the lumbar spine vertebrae
Open accessAbstract
Summary: Lumbar spine bone mineral density (BMD) and trabecular bone score (TBS) are both calculated on L1-L4 vertebrae. This study investigated the ability to predict osteoporotic fractures of BMD and TBS as calculated based on all possible adjacent L1-L4 vertebrae combinations. Present findings indicate that L1-L3 is an optimal combination to calculate LS-BMD or TBS. Introduction: Lumbar spine (LS) BMD and TBS are both assessed in the LS DXA scans in the same region of interest, L1-L4. We aimed to investigate the ability to predict osteoporotic fractures of all the possible adjacent LS vertebrae combinations used to calculate BMD and TBS and to evaluate if any of these combinations performs better at osteoporotic fracture prediction than the traditional L1-L4 combination. Methods: This study was embedded in OsteoLaus-women cohort in Switzerland. LS-DXA scans were performed using Discovery A System (Hologic). The incident vertebral fractures (VFs) and major osteoporotic fractures (MOFs) were assessed from VF assessments using Genant’s method or questionnaires (non-VF MOF). We ran logistic models using TBS and BMD to predict MOF, VF, and non-VF MOF, combining different adjustment factors (age, fracture level, or BMD). Results: One thousand six hundred thirty-two women (mean ± SD) 64.4 ± 7.5 years, BMI 25.9 ± 4.5 kg/m 2 , were followed for 4.4 years and 133 experienced MOF. The association of one SD decrease L1-L3 BMD with the odds ratios (ORs) of MOF was OR 1.32 (95%CI 1.15–1.53), L2-L4 BMD was 1.25 (95%CI 1.09–1.42), and L1-L4 BMD was 1.30 (95%CI 1.14–1.48). One SD decrease in L1-L3 TBS was more strongly associated with the odds of having a MOF (OR 1.64, 95% CI 1.34–2.00), than one SD decrease in L2-L4 TBS (OR 1.48, 95% CI 1.21–1.81), or in L1-L4 TBS (OR 1.60, CI 95% 1.32–1.95). Conclusion: Current findings indicate that L1-L3 is an optimal combination for the TBS or LS-BMD calculation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Additionally, as the muscular system degenerates as ALS progress, the bone system gradually loses support, which can alter the stability and integrity of the bone’s structure [77,78].”
From Head Injury and Amyotrophic Lateral Sclerosis: Population-Based Study from the National ALS Registry (2025) · cites this paper as [78]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 30
- Pothuaud L, Carceller P, Hans D (2008) Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture. Bone 42(4):775–787 · DOI
- Roux JP, Wegrzyn J, Boutroy S, Bouxsein ML, Hans D, Chapurlat R (2013) The predictive value of trabecular bone score (TBS) on whole lumbar vertebrae mechanics: an ex vivo study. Osteoporos Int 24(9):2455–2460 · DOI
- Winzenrieth R, Michelet F, Hans D (2013) Three-dimensional (3D) microarchitecture correlations with 2D projection image gray-level variations assessed by trabecular bone score using high-resolution computed tomographic acquisitions: effects of resolution and noise. J Clin Densitom 16(3):287–296 · DOI
- Hans D, Barthe N, Boutroy S, Pothuaud L, Winzenrieth R, Krieg MA (2011) Correlations between trabecular bone score, measured using anteroposterior dual-energy X-ray absorptiometry acquisition, and 3-dimensional parameters of bone microarchitecture: an experimental study on human cadaver vertebrae. J Clin Densitom 14(3):302–312 · DOI
- McCloskey EV, Odén A, Harvey NC, Leslie WD, Hans D, Johansson H et al (2016) A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX. J Bone Miner Res 31(5):940–948 · DOI
- Silva BC, Leslie WD, Resch H, Lamy O, Lesnyak O, Binkley N et al (2014) Trabecular bone score: a noninvasive analytical method based upon the DXA image. J Bone Miner Res 29(3):518–530 · DOI
- McCloskey EV, Odén A, Harvey NC, Leslie WD, Hans D, Johansson H et al (2015) Adjusting fracture probability by trabecular bone score. Calcif Tissue Int 96(6):500–509 · DOI
- Lewiecki EM, Watts NB, McClung MR, Petak SM, Bachrach LK, Shepherd JA et al (2004) Official positions of the international society for clinical densitometry. J Clin Endocrinol Metab 89(8):3651–3655 · DOI
- Girardi FP, Parvataneni HK, Sandhu HS, Cammisa FP Jr, Grewal H, Schneider R et al (2001) Correlation between vertebral body rotation and two-dimensional vertebral bone density measurement. Osteoporos Int 12(9):738–740 · DOI
- Shevroja E, Marques-Vidal P, Aubry-Rozier B, Hans G, Rivadeneira F, Lamy O et al (2019) Cohort Profile: The OsteoLaus study. Int J Epidemiol 48(4):1046–1047 · DOI
- Genant HK, Wu CY, van Kuijk C, Nevitt MC (1993) Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res 8(9):1137–1148 · DOI · Paper page
- Aubry-Rozier B, Fabreguet I, Iglesias K, Lamy O, Hans D (2017) Impact of level of expertise versus the statistical tool on vertebral fracture assessment (VFA) readings in cohort studies. Osteoporos Int 28(2):523–527 · DOI
- Do HM, Kim BS, Marcellus ML, Curtis L, Marks MP (2005) Prospective analysis of clinical outcomes after percutaneous vertebroplasty for painful osteoporotic vertebral body fractures. AJNR Am J Neuroradiol 26(7):1623–1628
- Al-Ali F, Barrow T, Luke K (2009) Vertebroplasty: what is important and what is not. AJNR Am J Neuroradiol 30(10):1835–1839 · DOI
- Fujiwara T, Akeda K, Yamada J, Kondo T, Sudo A (2019) Endplate and intervertebral disc injuries in acute and single level osteoporotic vertebral fractures: is there any association with the process of bone healing? BMC Musculoskelet Disord 20(1):336 · DOI
- Siminoski K, Lee KC, Jen H, Warshawski R, Matzinger MA, Shenouda N et al (2012) Anatomical distribution of vertebral fractures: comparison of pediatric and adult spines. Osteoporos Int 23(7):1999–2008 · DOI
- Lorente Ramos RM, AzpeitiaArmán J, ArévaloGaleano N, Muñoz Hernández A, García Gómez JM, Gredilla MJ (2012) Dual energy X-ray absorptimetry: fundamentals, methodology, and clinical applications. Radiologia 54(5):410–423 · DOI
- Tuna F, Yavuz S, DemirbağKabayel DD, Sarıkaya A (2017) Effects of clinical reanalysis in dual energy X-ray absorptiometry reports. Turk J Phys Med Rehabil 63(3):201–206 · DOI
- Cetin A, Ozgüçlü E, Ozçakar L, Akinci A (2008) Evaluation of the patient positioning during DXA measurements in daily clinical practice. Clin Rheumatol 27(6):713–715 · DOI
- Messina C, Bandirali M, Sconfienza LM, D’Alonzo NK, Di Leo G, Papini GD et al (2015) Prevalence and type of errors in dual-energy x-ray absorptiometry. Eur Radiol 25(5):1504–1511 · DOI
- Krueger D, Shives E, Siglinsky E, Libber J, Buehring B, Hansen KE et al (2019) DXA errors are common and reduced by use of a reporting template. J Clin Densitom 22(1):115–124 · DOI
- Promma S, Sritara C, Wipuchwongsakorn S, Chuamsaamarkkee K, Utamakul C, Chamroonrat W et al (2018) Errors in patient positioning for bone mineral density assessment by dual X-ray absorptiometry: effect of technologist retraininG. J Clin Densitom 21(2):252–259 · DOI
- Padlina I, Gonzalez-Rodriguez E, Hans D, Metzger M, Stoll D, Aubry-Rozier B et al (2017) The lumbar spine age-related degenerative disease influences the BMD not the TBS: the Osteolaus cohort. Osteoporos Int 28(3):909–915 · DOI
- Fujiwara S, Kasagi F, Masunari N, Naito K, Suzuki G, Fukunaga M (2003) Fracture prediction from bone mineral density in Japanese men and women. J Bone Miner Res 18(8):1547–1553 · DOI
- Cummings SR, Cawthon PM, Ensrud KE, Cauley JA, Fink HA, Orwoll ES (2006) BMD and risk of hip and nonvertebral fractures in older men: a prospective study and comparison with older women. J Bone Miner Res 21(10):1550–1556 · DOI
- Schuit SC, van der Klift M, Weel AE, de Laet CE, Burger H, Seeman E et al (2004) Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study. Bone 34(1):195–202 · DOI · Paper page
- Wu Q, Xiao X, Xu Y (2020) Evaluating the performance of the WHO international reference standard for osteoporosis diagnosis in postmenopausal women of varied polygenic score and race. J Clin Med 9(2) · DOI
- Jain RK, Narang DK, Hans D, Vokes TJ (2017) Ethnic differences in trabecular bone score. J Clin Densitom 20(2):172–179 · DOI
- Zemel BS, Wasserman H, Kelly A, Fan B, Shepherd J, Lappe J et al (2020) Intermachine differences in DXA measurements vary by skeletal site, and impact the assessment of low bone density in children. Bone 141:115581 · DOI
- Tataranni PA, Pettitt DJ, Ravussin E (1996) Dual energy X-ray absorptiometry: inter-machine variability. Int J Obes Relat Metab Disord 20(11):1048–1050
Cited by
Sorted by citations
Head Injury and Amyotrophic Lateral Sclerosis: Population-Based Study from the National ALS Registry
Raymond, J., Howard, I. M., Berry, J., Larson, T., Horton, D. K., & Mehta, P. (2025) · Brain Sciences · doi:10.3390/brainsci15020143 · Cited by 4
Metadata
- Authors
- Shevroja, E., Mo Costabella, F., Gonzalez Rodriguez, E., Lamy, O., & Hans, D.
- Affiliations
- Centre Hospitalier Universitaire Vaudois (CH)
- Corresponding author
- Hans, Didier
- Venue
- Archives of Osteoporosis
- Published
- 2022-06-09
- Volume
- 17
- Issue
- 1
- Pages
- 83-83
- ISSN
- 1862-3514 (ISSN-L)
- 1862-3522
- PMC
- PMC9184435
- OpenAlex
- W4281639375
- Cited by
- 18
- References
- 0
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 4 · 2023: 7
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Archives of Osteoporosis (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, cc-by)
- IRIS (submittedVersion, cc-by)
- Funders
- Swiss National Foundation for Science
- University of Lausanne
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Health Sciences › Medicine › Surgery › Spinal Fractures and Fixation Techniques
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Keywords
- lumbar spine bone mineral density, trabecular bone score, vertebral fractures, major osteoporotic fracture
- MeSH terms
- Cancellous Bone, Female, Humans, Lumbar Vertebrae, Absorptiometry, Photon, Bone Density, Osteoporotic Fractures
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review