Literature DB >> 27816505

Advances in imaging approaches to fracture risk evaluation.

Mary Kate Manhard1, Jeffry S Nyman2, Mark D Does3.   

Abstract

Fragility fractures are a growing problem worldwide, and current methods for diagnosing osteoporosis do not always identify individuals who require treatment to prevent a fracture and may misidentify those not a risk. Traditionally, fracture risk is assessed using dual-energy X-ray absorptiometry, which provides measurements of areal bone mineral density at sites prone to fracture. Recent advances in imaging show promise in adding new information that could improve the prediction of fracture risk in the clinic. As reviewed herein, advances in quantitative computed tomography (QCT) predict hip and vertebral body strength; high-resolution HR-peripheral QCT (HR-pQCT) and micromagnetic resonance imaging assess the microarchitecture of trabecular bone; quantitative ultrasound measures the modulus or tissue stiffness of cortical bone; and quantitative ultrashort echo-time MRI methods quantify the concentrations of bound water and pore water in cortical bone, which reflect a variety of mechanical properties of bone. Each of these technologies provides unique characteristics of bone and may improve fracture risk diagnoses and reduce prevalence of fractures by helping to guide treatment decisions.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27816505      PMCID: PMC5357194          DOI: 10.1016/j.trsl.2016.09.006

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  157 in total

Review 1.  Magnetic resonance imaging of trabecular bone structure.

Authors:  Sharmila Majumdar
Journal:  Top Magn Reson Imaging       Date:  2002-10

2.  Quantifying cortical bone water in vivo by three-dimensional ultra-short echo-time MRI.

Authors:  Hamidreza Saligheh Rad; Shing Chun Benny Lam; Jeremy F Magland; Henry Ong; Cheng Li; Hee Kwon Song; James Love; Felix W Wehrli
Journal:  NMR Biomed       Date:  2011-01-28       Impact factor: 4.044

3.  Spinal bone mineral assessment in postmenopausal women: a comparison between dual X-ray absorptiometry and quantitative computed tomography.

Authors:  W Yu; C C Glüer; S Grampp; M Jergas; T Fuerst; C Y Wu; Y Lu; B Fan; H K Genant
Journal:  Osteoporos Int       Date:  1995       Impact factor: 4.507

4.  Finite element analysis applied to 3-T MR imaging of proximal femur microarchitecture: lower bone strength in patients with fragility fractures compared with control subjects.

Authors:  Gregory Chang; Stephen Honig; Ryan Brown; Cem M Deniz; Kenneth A Egol; James S Babb; Ravinder R Regatte; Chamith S Rajapakse
Journal:  Radiology       Date:  2014-04-02       Impact factor: 11.105

5.  Bone marrow composition, diabetes, and fracture risk: more bad news for saturated fat.

Authors:  Maureen J Devlin
Journal:  J Bone Miner Res       Date:  2013-08       Impact factor: 6.741

6.  Ultrashort echo time spectroscopic imaging (UTESI): an efficient method for quantifying bound and free water.

Authors:  Eric Diaz; Christine B Chung; Won C Bae; Sheronda Statum; Richard Znamirowski; Graeme M Bydder; Jiang Du
Journal:  NMR Biomed       Date:  2011-07-15       Impact factor: 4.044

Review 7.  The epidemiology of quantitative ultrasound: a review of the relationships with bone mass, osteoporosis and fracture risk.

Authors:  E W Gregg; A M Kriska; L M Salamone; M M Roberts; S J Anderson; R E Ferrell; L H Kuller; J A Cauley
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

8.  Quantification of vertebral bone marrow fat content using 3 Tesla MR spectroscopy: reproducibility, vertebral variation, and applications in osteoporosis.

Authors:  Xiaojuan Li; Daniel Kuo; Anne L Schafer; Anne Porzig; Thomas M Link; Dennis Black; Ann V Schwartz
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

9.  Characterization of 1H NMR signal in human cortical bone for magnetic resonance imaging.

Authors:  R Adam Horch; Jeffry S Nyman; Daniel F Gochberg; Richard D Dortch; Mark D Does
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

10.  Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

Authors:  Sarah Wild; Gojka Roglic; Anders Green; Richard Sicree; Hilary King
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

View more
  23 in total

Review 1.  Quantitative imaging methods in osteoporosis.

Authors:  Ling Oei; Fjorda Koromani; Fernando Rivadeneira; M Carola Zillikens; Edwin H G Oei
Journal:  Quant Imaging Med Surg       Date:  2016-12

2.  Three-dimensional ultrashort echo time imaging with tricomponent analysis for human cortical bone.

Authors:  Xing Lu; Saeed Jerban; Lidi Wan; Yajun Ma; Hyungseok Jang; Nicole Le; Wenhui Yang; Eric Y Chang; Jiang Du
Journal:  Magn Reson Med       Date:  2019-03-07       Impact factor: 4.668

3.  Water proton density in human cortical bone obtained from ultrashort echo time (UTE) MRI predicts bone microstructural properties.

Authors:  Saeed Jerban; Yajun Ma; Hyungseok Jang; Behnam Namiranian; Nicole Le; Hoda Shirazian; Mark E Murphy; Jiang Du; Eric Y Chang
Journal:  Magn Reson Imaging       Date:  2020-01-10       Impact factor: 2.546

4.  Collagen proton fraction from ultrashort echo time magnetization transfer (UTE-MT) MRI modelling correlates significantly with cortical bone porosity measured with micro-computed tomography (μCT).

Authors:  Saeed Jerban; Yajun Ma; Lidi Wan; Adam C Searleman; Hyungseok Jang; Robert L Sah; Eric Y Chang; Jiang Du
Journal:  NMR Biomed       Date:  2018-12-14       Impact factor: 4.044

5.  Ultrashort echo time magnetic resonance imaging (UTE-MRI) of cortical bone correlates well with histomorphometric assessment of bone microstructure.

Authors:  Saeed Jerban; Yajun Ma; Jonathan H Wong; Amin Nazaran; Adam Searleman; Lidi Wan; Judith Williams; Jiang Du; Eric Y Chang
Journal:  Bone       Date:  2019-03-12       Impact factor: 4.398

6.  Significant correlations between human cortical bone mineral density and quantitative susceptibility mapping (QSM) obtained with 3D Cones ultrashort echo time magnetic resonance imaging (UTE-MRI).

Authors:  Saeed Jerban; Xing Lu; Hyungseok Jang; Yajun Ma; Behnam Namiranian; Nicole Le; Ying Li; Eric Y Chang; Jiang Du
Journal:  Magn Reson Imaging       Date:  2019-06-25       Impact factor: 2.546

Review 7.  The Role of Matrix Composition in the Mechanical Behavior of Bone.

Authors:  Mustafa Unal; Amy Creecy; Jeffry S Nyman
Journal:  Curr Osteoporos Rep       Date:  2018-06       Impact factor: 5.096

8.  The trabecular effect: A population-based longitudinal study on age and sex differences in bone mineral density and vertebral load bearing capacity.

Authors:  Marianna L Oppenheimer-Velez; Hugo Giambini; Asghar Rezaei; Jon J Camp; Sundeep Khosla; Lichun Lu
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-03-27       Impact factor: 2.063

9.  Correlations of cortical bone microstructural and mechanical properties with water proton fractions obtained from ultrashort echo time (UTE) MRI tricomponent T2* model.

Authors:  Saeed Jerban; Xing Lu; Erik W Dorthe; Salem Alenezi; Yajun Ma; Lena Kakos; Hyungseok Jang; Robert L Sah; Eric Y Chang; Darryl D'Lima; Jiang Du
Journal:  NMR Biomed       Date:  2019-12-10       Impact factor: 4.044

Review 10.  Applications of PET-MRI in musculoskeletal disease.

Authors:  Feliks Kogan; Stephen M Broski; Daehyun Yoon; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2018-07       Impact factor: 4.813

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.