Diffusion Tensor Imaging for Quantitative Assessment of Anterior Cruciate Ligament Injury Grades and Graft

Liu, Shuyi; Liu, Jing; Chen, Weicui; Lu, Zhiqu; Wu, Shanshan; Wang, Fei; Pan, Jianke; Luo, Minghui; Lu, Xian; Zhang, Shuixing

doi:10.1002/jmri.27322

Cited by 6 publications

(4 citation statements)

References 39 publications

(75 reference statements)

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“…Dyck et al demonstrated the feasibility and reliability of DTI for the visualization and quantitative evaluation of the ACL graft using a clinical 3T system 77 . DTI provided objective biomarkers to assess graft healing following ACL reconstruction to guide the time of return to sports 77–79 . The zonal‐dependent DTI metrics (FA, MD, axial, and transversal diffusivity) of the porcine meniscus have been recently reported using a 3D DW‐SE sequence 80 .…”

Section: Musculoskeletal Applications Of Quantitative Diffusionmentioning

confidence: 99%

“…77 DTI provided objective biomarkers to assess graft healing following ACL reconstruction to guide the time of return to sports. [77][78][79] The zonal-dependent DTI metrics (FA, MD, axial, and transversal diffusivity) of the porcine meniscus have been recently reported using a 3D DW-SE sequence. 80 The complex collagen fiber architecture of the entire meniscus can be resolved by diffusion tractography.…”

Section: Ligaments Tendons and Meniscimentioning

confidence: 99%

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Applications of Diffusion‐Weighted MRI to the Musculoskeletal System

Raya

Duarte

Wang

et al. 2023

Magnetic Resonance Imaging

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Diffusion‐weighted imaging (DWI) is an established MRI technique that can investigate tissue microstructure at the scale of a few micrometers. Musculoskeletal tissues typically have a highly ordered structure to fulfill their functions and therefore represent an optimal application of DWI. Even more since disruption of tissue organization affects its biomechanical properties and may indicate irreversible damage. The application of DWI to the musculoskeletal system faces application‐specific challenges on data acquisition including susceptibility effects, the low T2 relaxation time of most musculoskeletal tissues (2–70 msec) and the need for sub‐millimetric resolution. Thus, musculoskeletal applications have been an area of development of new DWI methods. In this review, we provide an overview of the technical aspects of DWI acquisition including diffusion‐weighting, MRI pulse sequences and different diffusion regimes to study tissue microstructure. For each tissue type (growth plate, articular cartilage, muscle, bone marrow, intervertebral discs, ligaments, tendons, menisci, and synovium), the rationale for the use of DWI and clinical studies in support of its use as a biomarker are presented. The review describes studies showing that DTI of the growth plate has predictive value for child growth and that DTI of articular cartilage has potential to predict the radiographic progression of joint damage in early stages of osteoarthritis. DTI has been used extensively in skeletal muscle where it has shown potential to detect microstructural and functional changes in a wide range of muscle pathologies. DWI of bone marrow showed to be a valuable tool for the diagnosis of benign and malignant acute vertebral fractures and bone metastases. DTI and diffusion kurtosis have been investigated as markers of early intervertebral disc degeneration and lower back pain. Finally, promising new applications of DTI to anterior cruciate ligament grafts and synovium are presented. The review ends with an overview of the use of DWI in clinical routine.Evidence Level5Technical EfficacyStage 3

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Section: Musculoskeletal Applications Of Quantitative Diffusionmentioning

confidence: 99%

Section: Ligaments Tendons and Meniscimentioning

confidence: 99%

Applications of Diffusion‐Weighted MRI to the Musculoskeletal System

Raya

Duarte

Wang

et al. 2023

Magnetic Resonance Imaging

View full text Add to dashboard Cite

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“…Some studies have verified that DTI can be used to quantitatively evaluate the ACL injury grade and the development of ACL grafts in vivo using a clinical 3.0-Tesla (3.0T) scanner. 14,15 To the best of our knowledge, however, no study has evaluated the fibrous microstructure of the ACL using 7.0T MRI.…”

Section: Introductionmentioning

confidence: 99%

The ultrastructural and morphological characteristics of the anterior cruciate ligament of the pig: a study using 7.0-Tesla diffusion tensor imaging

et al. 2022

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Objective Diffusion tensor imaging research on the anterior cruciate ligament (ACL) is limited, and no study has revealed the ACL fibrous microstructure by 7.0-Tesla magnetic resonance imaging. Therefore, we used magnetic resonance imaging to assess the ACL. Methods Eight porcine ACLs were investigated by diffusion tensor imaging. Imaging was performed with a 7.0-Tesla scanner using a diffusion-weighted two-dimensional spin-echo echo-planar imaging pulse sequence optimised for muscle. The diffusion tensor eigenparameters, fractional anisotropy (FA), and apparent diffusion coefficient (ADC) were used for bones and muscles. Three-dimensional projection maps of the principal eigenvectors were plotted to visualise the microstructure. Results The mean FA and ADC for the ACL were 0.27 ± 0.079 and 0.0012 ± 0.0005, respectively. There were no significant differences between the values in the proximal and distal portions . However, the ADC was smaller in the centre than on the sides (0.0015 ± 0.0007), and the mean FA was larger in the centre than on the sides (0.42 ± 0.23). The ACL fibres were parallel on the proximal and distal sides but interweaved in the centre. Conclusions These findings may be beneficial for artificial ligaments.

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“…The study “Diffusion Tensor Imaging for Quantitative Assessment of Anterior Cruciate Ligament Injury Grades and Graft” by Liu et al, 4 published in this issue of the Journal of Magnetic Resonance Imaging , evaluates two promising clinical applications of DTI. First, DTI‐derived measures are shown for the diagnostic assessment of ACL injury grades, and second, the longitudinal assessment of ACL grafts in patients having undergone reconstructive surgery is shown with DTI.…”

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confidence: 99%