Literature DB >> 31728606

X-ray-based quantitative osteoporosis imaging at the spine.

M T Löffler1, N Sollmann2, K Mei3, A Valentinitsch2, P B Noël4, J S Kirschke2, T Baum2.   

Abstract

Osteoporosis is a metabolic bone disease with a high prevalence that affects the population worldwide, particularly the elderly. It is often due to fractures associated with bone fragility that the diagnosis of osteoporosis becomes clinically evident. However, early diagnosis would be necessary to initiate therapy and to prevent occurrence of further fractures, thus reducing morbidity and mortality. X-ray-based imaging plays a key role for fracture risk assessment and monitoring of osteoporosis. Whereas over decades dual-energy X-ray absorptiometry (DXA) has been the main method used and still reflects the reference standard, another modality reemerges with quantitative computed tomography (QCT) because of its three-dimensional advantages and the opportunistic exploitation of routine CT scans. Against this background, this article intends to review and evaluate recent advances in the field of X-ray-based quantitative imaging of osteoporosis at the spine. First, standard DXA with the recent addition of trabecular bone score (TBS) is presented. Secondly, standard QCT, dual-energy BMD quantification, and opportunistic BMD screening in non-dedicated CT exams are discussed. Lastly, finite element analysis and microstructural parameter analysis are reviewed.

Entities:  

Keywords:  Bone densitometry; Dual-energy X-ray absorptiometry; Osteoporosis; Quantitative computed tomography; Spine

Year:  2019        PMID: 31728606     DOI: 10.1007/s00198-019-05212-2

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  92 in total

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Authors:  Felix Eckstein; Eva-Maria Lochmüller; Christoph A Lill; Volker Kuhn; Erich Schneider; Günter Delling; Ralph Müller
Journal:  J Bone Miner Res       Date:  2002-01       Impact factor: 6.741

2.  Multi-detector row CT attenuation measurements: assessment of intra- and interscanner variability with an anthropomorphic body CT phantom.

Authors:  Bernard A Birnbaum; Nicole Hindman; Julie Lee; James S Babb
Journal:  Radiology       Date:  2007-01       Impact factor: 11.105

3.  High resolution computed tomography of the vertebrae yields accurate information on trabecular distances if processed by 3D fuzzy segmentation approaches.

Authors:  Andreas Krebs; Christian Graeff; Isolde Frieling; Bodo Kurz; Wolfram Timm; Klaus Engelke; Claus-C Glüer
Journal:  Bone       Date:  2008-09-23       Impact factor: 4.398

4.  Comparisons of noninvasive bone mineral measurements in assessing age-related loss, fracture discrimination, and diagnostic classification.

Authors:  S Grampp; H K Genant; A Mathur; P Lang; M Jergas; M Takada; C C Glüer; Y Lu; M Chavez
Journal:  J Bone Miner Res       Date:  1997-05       Impact factor: 6.741

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Authors:  J A Kanis; L J Melton; C Christiansen; C C Johnston; N Khaltaev
Journal:  J Bone Miner Res       Date:  1994-08       Impact factor: 6.741

6.  An estimate of the worldwide prevalence and disability associated with osteoporotic fractures.

Authors:  O Johnell; J A Kanis
Journal:  Osteoporos Int       Date:  2006-09-16       Impact factor: 4.507

7.  Administration of romosozumab improves vertebral trabecular and cortical bone as assessed with quantitative computed tomography and finite element analysis.

Authors:  Christian Graeff; Graeme M Campbell; Jaime Peña; Jan Borggrefe; Desmond Padhi; Allegra Kaufman; Sung Chang; Cesar Libanati; Claus-Christian Glüer
Journal:  Bone       Date:  2015-07-29       Impact factor: 4.398

8.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.

Authors:  D Marshall; O Johnell; H Wedel
Journal:  BMJ       Date:  1996-05-18

Review 9.  Fracture Prediction by Computed Tomography and Finite Element Analysis: Current and Future Perspectives.

Authors:  Fjola Johannesdottir; Brett Allaire; Mary L Bouxsein
Journal:  Curr Osteoporos Rep       Date:  2018-08       Impact factor: 5.096

10.  Accuracy of bone mineral density quantification using dual-layer spectral detector CT: a phantom study.

Authors:  Robbert W van Hamersvelt; Arnold M R Schilham; Klaus Engelke; Annemarie M den Harder; Bart de Keizer; Harald J Verhaar; Tim Leiner; Pim A de Jong; Martin J Willemink
Journal:  Eur Radiol       Date:  2017-04-03       Impact factor: 5.315

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  25 in total

1.  Spatial distribution of hip cortical thickness in postmenopausal women with different osteoporotic fractures.

Authors:  Ming Ling; Xianlong Li; Yueyang Xu; Yongqian Fan
Journal:  Arch Osteoporos       Date:  2021-11-15       Impact factor: 2.617

2.  Opportunistic osteoporosis screening using chest CT with artificial intelligence.

Authors:  Jinrong Yang; Man Liao; Yaoling Wang; Leqing Chen; Linfeng He; Yingying Ji; Yao Xiao; Yichen Lu; Wenliang Fan; Zhuang Nie; Ruiyun Wang; Benling Qi; Fan Yang
Journal:  Osteoporos Int       Date:  2022-08-06       Impact factor: 5.071

3.  The study of bone mineral density measured by quantitative computed tomography in middle-aged and elderly men with abnormal glucose metabolism.

Authors:  Pei Zhang; Xiaofeng Huang; Yanping Gong; Yanhui Lu; Minyan Liu; Xiaoling Cheng; Nan Li; Chunlin Li
Journal:  BMC Endocr Disord       Date:  2022-07-07       Impact factor: 3.263

4.  Editorial on Special Issue "Spine Imaging: Novel Image Acquisition Techniques and Analysis Tools".

Authors:  Nico Sollmann; Thomas Baum
Journal:  Diagnostics (Basel)       Date:  2022-06-01

5.  Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment.

Authors:  Egon Burian; Nico Sollmann; Kai Mei; Michael Dieckmeyer; Daniela Juncker; Maximilian Löffler; Tobias Greve; Claus Zimmer; Jan S Kirschke; Thomas Baum; Peter B Noël
Journal:  Quant Imaging Med Surg       Date:  2021-07

6.  Predicting Vertebral Bone Strength Using Finite Element Analysis for Opportunistic Osteoporosis Screening in Routine Multidetector Computed Tomography Scans-A Feasibility Study.

Authors:  Nithin Manohar Rayudu; Michael Dieckmeyer; Maximilian T Löffler; Peter B Noël; Jan S Kirschke; Thomas Baum; Karupppasamy Subburaj
Journal:  Front Endocrinol (Lausanne)       Date:  2021-01-19       Impact factor: 5.555

7.  Multi-detector computed tomography (MDCT) imaging: association of bone texture parameters with finite element analysis (FEA)-based failure load of single vertebrae and functional spinal units.

Authors:  Nico Sollmann; Nithin Manohar Rayudu; John Jie Sheng Lim; Michael Dieckmeyer; Egon Burian; Maximilian T Löffler; Jan S Kirschke; Thomas Baum; Karupppasamy Subburaj
Journal:  Quant Imaging Med Surg       Date:  2021-07

8.  Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?

Authors:  Nithin Manohar Rayudu; Karupppasamy Subburaj; Kai Mei; Michael Dieckmeyer; Jan S Kirschke; Peter B Noël; Thomas Baum
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-28       Impact factor: 5.555

9.  Associations of Muscle Size and Density With Proximal Femur Bone in a Community Dwelling Older Population.

Authors:  Lu Yin; Zhengyang Xu; Ling Wang; Wei Li; Yue Zhao; Yongbin Su; Wei Sun; Yandong Liu; Minghui Yang; Aihong Yu; Glen Mervyn Blake; Xinbao Wu; Annegreet G Veldhuis-Vlug; Xiaoguang Cheng; Karen Hind; Klaus Engelke
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-28       Impact factor: 5.555

Review 10.  Opportunistic diagnosis of osteoporosis, fragile bone strength and vertebral fractures from routine CT scans; a review of approved technology systems and pathways to implementation.

Authors:  Veena Aggarwal; Christina Maslen; Richard L Abel; Pinaki Bhattacharya; Paul A Bromiley; Emma M Clark; Juliet E Compston; Nicola Crabtree; Jennifer S Gregory; Eleni P Kariki; Nicholas C Harvey; Kate A Ward; Kenneth E S Poole
Journal:  Ther Adv Musculoskelet Dis       Date:  2021-07-10       Impact factor: 5.346

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