Literature DB >> 30059184

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

Saeed Jerban1, Yajun Ma1, Amin Nazaran1, Erik W Dorthe2, Esther Cory3, Michael Carl4, Darryl D'Lima2, Robert L Sah3,5, Eric Y Chang1,6, Jiang Du1.   

Abstract

Bone stress injury (BSI) incidents have been increasing amongst athletes in recent years as a result of more intense sporting activities. Cortical bone in the tibia and fibula is one of the most common BSI sites. Nowadays, clinical magnetic resonance imaging (MRI) is the recommended technique for BSI diagnosis at an early stage. However, clinical MRI focuses on edema observations in surrounding soft tissues, rather than the injured components of the bone. Specifically, both normal and injured bone are invisible in conventional clinical MRI. In contrast, ultrashort echo time (UTE)-MRI is able to detect the rapidly decaying signal from the bone. This study aimed to employ UTE-MRI for fatigue fracture detection in fibula cortical bone through an ex vivo investigation. Fourteen human fibular samples (47 ± 20 years old, four women) were subjected to cyclic loading on a four-point bending setup. The loading was displacement controlled to induce -5000 ± 1500 μ-strain at 4 Hz. Loading was stopped when bone stiffness was reduced by 20%. Fibula samples were imaged twice, using UTE-MRI and micro-computed tomography (μCT), first pre-loading and second post-loading. After loading, the macromolecular fraction (MMF) from UTE-MT modeling demonstrated a significant decrease (12% ± 20%, P = 0.02) on average. Single-component T2 * also decreased significantly by BSI (12% ± 11%, P = 0.01) on average. MMF reduction is hypothesized to be a result of collagenous matrix rupture and water increase. However, faster T2 * decay might be a result of water shifts towards newly developed microcracks with higher susceptibility. Despite this good sensitivity level of the UTE-MRI technique, the μCT-based porosity at a voxel size of 9 μm was not affected by loading. UTE-MRI shows promise as a new quantitative technique to detect BSI.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MRI; bone stress injury; cortical bone; fatigue fracture; magnetization transfer; ultrashort TE

Mesh:

Year:  2018        PMID: 30059184      PMCID: PMC6553877          DOI: 10.1002/nbm.3994

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


  16 in total

1.  Assessment of mechanical properties of articular cartilage with quantitative three-dimensional ultrashort echo time (UTE) cones magnetic resonance imaging.

Authors:  Behnam Namiranian; Saeed Jerban; Yajun Ma; Erik W Dorthe; Amir Masoud-Afsahi; Jonathan Wong; Zhao Wei; Yanjun Chen; Darryl D'Lima; Eric Y Chang; Jiang Du
Journal:  J Biomech       Date:  2020-10-24       Impact factor: 2.712

2.  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

3.  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

4.  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

5.  Fat suppression for ultrashort echo time imaging using a novel soft-hard composite radiofrequency pulse.

Authors:  Ya-Jun Ma; Saeed Jerban; Hyungseok Jang; Eric Y Chang; Jiang Du
Journal:  Magn Reson Med       Date:  2019-07-17       Impact factor: 4.668

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

7.  Volumetric mapping of bound and pore water as well as collagen protons in cortical bone using 3D ultrashort echo time cones MR imaging techniques.

Authors:  Saeed Jerban; Yajun Ma; Liang Li; Hyungseok Jang; Lidi Wan; Tan Guo; Adam Searleman; Eric Y Chang; Jiang Du
Journal:  Bone       Date:  2019-06-05       Impact factor: 4.398

8.  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

9.  Value of CT to detect radiographically occult injuries of the proximal femur in elderly patients after low-energy trauma: determination of non-inferiority margins of CT in comparison with MRI.

Authors:  Solenne J Lanotte; Ahmed Larbi; Nicolas Michoux; Marie-Pierre Baron; Aymeric Hamard; Charbel Mourad; Jacques Malghem; Catherine Cyteval; Bruno C Vande Berg
Journal:  Eur Radiol       Date:  2019-10-24       Impact factor: 5.315

10.  Detecting Articular Cartilage and Meniscus Deformation Effects Using Magnetization Transfer Ultrashort Echo Time (MT-UTE) Modeling during Mechanical Load Application: Ex Vivo Feasibility Study.

Authors:  Saeed Jerban; Akhil Kasibhatla; Yajun Ma; Mei Wu; Yanjun Chen; Tan Guo; Lidi Wan; Nikolaus Szeverenyi; Eric Y Chang; Jiang Du
Journal:  Cartilage       Date:  2020-12-08       Impact factor: 3.117

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