Literature DB >> 31820518

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

Saeed Jerban1, Xing Lu1,2, Erik W Dorthe3, Salem Alenezi4, Yajun Ma1, Lena Kakos1, Hyungseok Jang1, Robert L Sah5,6, Eric Y Chang1,7, Darryl D'Lima3, Jiang Du1.   

Abstract

Mechanical and microstructural evaluations of cortical bone using ultrashort echo time magnetic resonance imaging (UTE-MRI) have been performed increasingly in recent years. UTE-MRI acquires considerable signal from cortical bone and enables quantitative bone evaluations. Fitting bone apparent transverse magnetization (T2*) decay using a bicomponent model has been regularly performed to estimate bound water (BW) and pore water (PW) in the quantification of bone matrix and porosity, respectively. Human cortical bone possesses a considerable amount of fat, which appears as MRI T2* signal oscillation and can subsequently lead to BW overestimation when using a bicomponent model. Tricomponent T2* fitting model has been developed to improve BW and PW estimations by accounting for fat contribution in the MRI signal. This study aimed to investigate the correlations of microstructural and mechanical properties of human cortical bone with water pool fractions obtained from a tricomponent T2* model. 135 cortical bone strips (~4 × 2 × 40 mm3 ) from tibial and femoral midshafts of 37 donors (61 ± 24 years old) were scanned using ten sets of dual-echo 3D-UTE-Cones sequences (TE = 0.032-24.0 ms) on a 3 T MRI scanner for T2* fitting analyses. Average bone porosity and pore size were measured using microcomputed tomography (μCT) at 9 μm voxel size. Bone mechanical properties were measured using 4-point bending tests. Using a tricomponent model, bound water fraction (FracBW ) showed significant strong (R = 0.70, P < 0.01) and moderate (R = 0.58-0.62, P < 0.01) correlations with porosity and mechanical properties, respectively. Correlations of bone microstructural and mechanical properties with water pool fractions were higher for tricomponent model results compared with the bicomponent model. The tricomponent T2* fitting model is suggested as a useful technique for cortical bone evaluation where the MRI contribution of bone fat is accounted for.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MRI; T2* fitting model; bone mechanics; cortical bone; fat; ultrashort echo time

Mesh:

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Year:  2019        PMID: 31820518      PMCID: PMC7161421          DOI: 10.1002/nbm.4233

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  48 in total

1.  Musculoskeletal MRI at 3.0 T: relaxation times and image contrast.

Authors:  Garry E Gold; Eric Han; Jeff Stainsby; Graham Wright; Jean Brittain; Christopher Beaulieu
Journal:  AJR Am J Roentgenol       Date:  2004-08       Impact factor: 3.959

2.  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

3.  Detecting stress injury (fatigue fracture) in fibular cortical bone using quantitative ultrashort echo time-magnetization transfer (UTE-MT): An ex vivo study.

Authors:  Saeed Jerban; Yajun Ma; Amin Nazaran; Erik W Dorthe; Esther Cory; Michael Carl; Darryl D'Lima; Robert L Sah; Eric Y Chang; Jiang Du
Journal:  NMR Biomed       Date:  2018-07-30       Impact factor: 4.044

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.  Cortical bone water concentration: dependence of MR imaging measures on age and pore volume fraction.

Authors:  Cheng Li; Alan C Seifert; Hamidreza Saligheh Rad; Yusuf A Bhagat; Chamith S Rajapakse; Wenli Sun; Shing Chun Benny Lam; Felix W Wehrli
Journal:  Radiology       Date:  2014-05-02       Impact factor: 11.105

6.  MRI-derived bound and pore water concentrations as predictors of fracture resistance.

Authors:  Mary Kate Manhard; Sasidhar Uppuganti; Mathilde Granke; Daniel F Gochberg; Jeffry S Nyman; Mark D Does
Journal:  Bone       Date:  2016-03-16       Impact factor: 4.398

7.  Measurements of mobile and bound water by nuclear magnetic resonance correlate with mechanical properties of bone.

Authors:  Jeffry S Nyman; Qingwen Ni; Daniel P Nicolella; Xiaodu Wang
Journal:  Bone       Date:  2007-09-26       Impact factor: 4.398

8.  UTE imaging with simultaneous water and fat signal suppression using a time-efficient multispoke inversion recovery pulse sequence.

Authors:  Michael Carl; Graeme M Bydder; Jiang Du
Journal:  Magn Reson Med       Date:  2015-08-26       Impact factor: 4.668

9.  Weibull analysis of fracture test data on bovine cortical bone: influence of orientation.

Authors:  Morshed Khandaker; Stephen Ekwaro-Osire
Journal:  Int J Biomater       Date:  2013-12-09

Review 10.  Fat and Bone: An Odd Couple.

Authors:  Richard Kremer; Vicente Gilsanz
Journal:  Front Endocrinol (Lausanne)       Date:  2016-03-07       Impact factor: 5.555

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  11 in total

1.  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

Review 2.  MRI-based mechanical competence assessment of bone using micro finite element analysis (micro-FEA): Review.

Authors:  Saeed Jerban; Salem Alenezi; Amir Masoud Afsahi; Yajun Ma; Jiang Du; Christine B Chung; Eric Y Chang
Journal:  Magn Reson Imaging       Date:  2022-01-25       Impact factor: 2.546

Review 3.  Ultrashort Echo Time Magnetic Resonance Imaging Techniques: Met and Unmet Needs in Musculoskeletal Imaging.

Authors:  Amir Masoud Afsahi; Yajun Ma; Hyungseok Jang; Saeed Jerban; Christine B Chung; Eric Y Chang; Jiang Du
Journal:  J Magn Reson Imaging       Date:  2021-12-28       Impact factor: 5.119

4.  Compositional evaluation of lesion and parent bone in patients with juvenile osteochondritis dissecans of the knee using T2 * mapping.

Authors:  Štefan Zbýň; Cassiano Santiago; Casey P Johnson; Kai D Ludwig; Lin Zhang; Shelly Marette; Marc A Tompkins; Bradley J Nelson; Takashi Takahashi; Gregory J Metzger; Cathy S Carlson; Jutta M Ellermann
Journal:  J Orthop Res       Date:  2021-10-20       Impact factor: 3.102

5.  Longitudinal 3T MRI T2 * mapping of Juvenile osteochondritis dissecans (JOCD) lesions differentiates operative from non-operative patients-Pilot study.

Authors:  Abdul Wahed Kajabi; Štefan Zbýň; Casey P Johnson; Marc A Tompkins; Bradley J Nelson; Takashi Takahashi; Kevin G Shea; Shelly Marette; Cathy S Carlson; Jutta M Ellermann
Journal:  J Orthop Res       Date:  2022-04-17       Impact factor: 3.102

Review 6.  Quantitative Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of Bone: An Update.

Authors:  Ya-Jun Ma; Saeed Jerban; Hyungseok Jang; Douglas Chang; Eric Y Chang; Jiang Du
Journal:  Front Endocrinol (Lausanne)       Date:  2020-09-18       Impact factor: 5.555

7.  Bone hydration: How we can evaluate it, what can it tell us, and is it an effective therapeutic target?

Authors:  Rachel K Surowiec; Matthew R Allen; Joseph M Wallace
Journal:  Bone Rep       Date:  2021-12-21

8.  CT-like images in MRI improve specificity of erosion detection in patients with hand arthritis: a diagnostic accuracy study with CT as standard of reference.

Authors:  Sevtap Tugce Ulas; Katharina Ziegeler; Sophia-Theresa Richter; Sarah Ohrndorf; Denis Poddubnyy; Marcus R Makowski; Torsten Diekhoff
Journal:  RMD Open       Date:  2022-02

9.  CKD Stages, Bone Metabolism Markers, and Cortical Porosity Index: Associations and Mediation Effects Analysis.

Authors:  Yan Xiong; Tongxiang He; Yanan Wang; Weiyin Vivian Liu; Shuang Hu; Yao Zhang; Donglin Wen; Bowen Hou; Yitong Li; Peisen Zhang; Jianyi Liu; Fan He; Xiaoming Li
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-05       Impact factor: 5.555

10.  Ultrasounds could be considered as a future tool for probing growing bone properties.

Authors:  Emmanuelle Lefevre; Cécile Baron; Evelyne Gineyts; Yohann Bala; Hakim Gharbi; Jean-Marc Allain; Philippe Lasaygues; Martine Pithioux; Hélène Follet
Journal:  Sci Rep       Date:  2020-09-24       Impact factor: 4.379

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