A computer-based measure of irregularity in vertebral alignment is a BMD-independent predictor of fracture risk in postmenopausal women

Pettersen, P.C.; Bruijne, Marleen de; Chen, J.; He, Qing; Christiansen, Claus; Tankó, László B.

doi:10.1007/s00198-007-0388-y

Cited by 7 publications

(14 citation statements)

References 17 publications

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“…Finally, we report results of the main experiment on the full Pettersen [25] dataset and compare to results achieved on the reduced dataset (see page 7) used throughout.…”

Section: Discussionmentioning

confidence: 99%

“…The primary utility of the fracture assessment was to establish baseline and followup fracture presence. These readings were used to identify the case (n=36) and controls group (n=108) in the paper by Pettersen [25] in which the fracture risk predictive power of a computer-based measure of curvature irregularity was investigated. The case and control groups in this study were specifically selected as subsets of the Pettersen's case and control group as described below.…”

Section: Methodsmentioning

confidence: 99%

“…The Pettersen's [25] population was reduced selecting only subjects where the quantitative fracture classification was in agreement with the experts fracture assessment. This procedure reduced the case and controls groups described above to 25 cases and 101 controls, respectively.…”

Section: Subpopulation and Borderline Fracturesmentioning

confidence: 99%

“…We compared these morphometric prognostic markers based on analysis of the individual vertebrae with the irregularity measure based on spine curvature suggested for fracture prediction by Pettersen [25]. Any comparisons with the Pettersen's method are reported on the reduced dataset presented in this paper for both ours and Pettersen's method.…”

Section: Subpopulation and Borderline Fracturesmentioning

confidence: 99%

See 3 more Smart Citations

Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal women

Lillholm¹,

Ghosh²,

Pettersen

et al. 2010

Osteoporos Int

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“…Finally, we report results of the main experiment on the full Pettersen [25] dataset and compare to results achieved on the reduced dataset (see page 7) used throughout.…”

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Subpopulation and Borderline Fracturesmentioning

confidence: 99%

Section: Subpopulation and Borderline Fracturesmentioning

confidence: 99%

See 2 more Smart Citations

Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal women

Lillholm¹,

Ghosh²,

Pettersen

et al. 2010

Osteoporos Int

Self Cite

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show abstract

“…Previous studies indicated that irregularity in vertebral alignment or spine curvature as can be observed on lateral X-rays is associated with known risk factors for future fractures such as prevalent fractures and low bone mineral density (BMD) [5,6], as well as with future fractures independent of the main risk factors [7]. These studies based their analysis on simple measures of vertebral heights or circles drawn through vertebral body center points and aim at capturing the known characteristics of deformed spines in the hope that these measures may also be suited for early diagnosis and prediction of future deformity.…”

Section: Introductionmentioning

confidence: 99%

Supervised shape analysis for risk assessment in osteoporosis

Bruijne

Pettersen

2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Early diagnosis and treatment of patients at high risk of developing fragility fractures is crucial in the management of osteoporosis. In this paper we propose to estimate the risk of future vertebral fractures using a training set of longitudinal data to learn the shape characteristics of vertebrae and spines that will sustain a fracture in the near future. A discriminant classifier is trained to discriminate between subjects developing one or more vertebral fractures in the course of 5 years and subjects maintaining a healthy spine. This approach is compared to a one-class system where the classifier is trained only on the subjects staying healthy. In a case-control study with 218 subjects, all unfractured at baseline and matched for main vertebral fracture risk factors such as spine BMD and age, we were able to predict future fractures with a sensitivity of 76% and a specificity of 72%.

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Prevalent Vertebral Fractures on Chest CT: Higher Risk for Future Hip Fracture

Buckens

Jong

Mali

et al. 2013

Journal of Bone and Mineral Research

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Subclinical or undiagnosed vertebral fractures on routine chest computed tomography (CT) may be useful for detecting patients at increased risk of future hip fractures who might benefit from preventive interventions. We investigated whether prevalent vertebral fractures on routine chest CT are associated with future hip fractures. From a source population of 5679 patients 40 years old undergoing chest CT in one of three Dutch hospitals between 2002 and 2005, patients hospitalized for hip fractures (n ¼ 149) during a median follow-up of 4.4 years were identified. Following a case-cohort design, a random sample of 576 patients was drawn from the source population and added to the cases. In this group, the presence and severity of vertebral fractures was determined using semiquantitative vertebral fracture assessment and multivariate case-cohort appropriate Cox modeling. We found that cases were older (69 versus 63 years) and more often female (48% versus 38%) than the source population. Compared with those with no fracture, patients with any vertebral fracture had triple the risk of future hip fracture (age-and gender-adjusted hazard ratio [HR] ¼ 3

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A computer-based measure of irregularity in vertebral alignment is a BMD-independent predictor of fracture risk in postmenopausal women

Abstract: Our results suggest that the herein introduced simple measure of irregularities in vertebral alignment could provide useful supplement to the currently used diagnostic tools of fracture prediction in elderly women.

Cited by 7 publications

References 17 publications

Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal women

Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal women

Supervised shape analysis for risk assessment in osteoporosis

Prevalent Vertebral Fractures on Chest CT: Higher Risk for Future Hip Fracture

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