1
|
Li J, Wang Y, Zhang X, Wu M, Wang M, Zhang R, Wu T, Zhang P, Zhao J. Diffusion tensor imaging combined with chemical shift-encoded sequence to quantify the adaptive changes of calf muscles in amateur marathoners. Eur J Radiol 2024; 175:111449. [PMID: 38604093 DOI: 10.1016/j.ejrad.2024.111449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE Calf muscles play an important role in marathon race, and the incidence of injury is high in this process. This study prospectively quantified diffusion tensor metrics, muscle fat fraction (MFF) and cross-sectional area (CSA) of calf muscles induced by endurance exercise in amateur marathoners, and the potential mechanisms underlying the changes in these parameters were analyzed. METHOD In this prospective study, 35 marathoners (27 males, 8 females; mean age (standard deviation, SD), 38.92 (4.83) years) and 26 controls (18 males, 8 females; mean age (SD), 38.35 (6.75) years) underwent magnetic resonance imaging (MRI) from September 2022 to March 2023. The diffusion tensor eigenvalues (λ1, λ2, λ3), radial diffusivity (RD), fractional anisotropy (FA), MFF and CSA of calf muscles were compared between marathoners and controls. A binary logistic regression model with gender correction was performed analyze the relationship between marathon exercise and DTI parameters, CSA and MFF of calf muscles. RESULTS Interobserver agreement was good (κ = 0.71). The results of binary logistic regression model with gender correction showed that the regression coefficients of FA values in anterior group of calf (AC), soleus (SOL), medial gastrocnemius (MG) and lateral gastrocnemius (LG) were negative, and the odds ratios (OR) were 0.33, 0.45, 0.35, 0.05, respectively (P < 0.05). The OR of RD in SOL and λ2 in external group of calf (EC) were relatively higher, 3.74 and 3.26, respectively (P < 0.05). CSA was greater in SOL of marathoners, with an OR value of 1.00(P < 0.05). The MFF in AC and LG was lower in marathoners and OR of two indexes were -0.69 and -0.59, respectively (P < 0.05). CONCLUSIONS Diffusion tensor imaging (DTI) combined with chemical shift-encoded sequence can noninvasively detect and quantify the adaptive changes of calf muscle morphology, microstructure and tissue composition induced by long-term running training in amateur marathoners.
Collapse
Affiliation(s)
- Junfei Li
- Department of CT/MR, Hebei Medical University Third Hospital, No. 139, Ziqiang Street, Qiaoxi District, Shijiazhuang 050051, China.
| | - Yijing Wang
- Department of Radiology, Hebei General Hospital, No. 348, Heping Street, Xinhua District, Shijiazhuang 050051, China.
| | - Xuesong Zhang
- Department of CT/MR, Hebei Medical University Third Hospital, No. 139, Ziqiang Street, Qiaoxi District, Shijiazhuang 050051, China.
| | - Mengfei Wu
- Department of CT/MR, Hebei Medical University Third Hospital, No. 139, Ziqiang Street, Qiaoxi District, Shijiazhuang 050051, China.
| | - Ming Wang
- Department of CT/MR, Hebei Medical University Third Hospital, No. 139, Ziqiang Street, Qiaoxi District, Shijiazhuang 050051, China.
| | - Ranxu Zhang
- Department of CT/MR, Hebei Medical University Third Hospital, No. 139, Ziqiang Street, Qiaoxi District, Shijiazhuang 050051, China.
| | - Tao Wu
- GE Healthcare, Beijing, China.
| | - Ping Zhang
- Department of CT/MR, Hebei Medical University Third Hospital, No. 139, Ziqiang Street, Qiaoxi District, Shijiazhuang 050051, China.
| | - Jian Zhao
- Department of CT/MR, Hebei Medical University Third Hospital, No. 139, Ziqiang Street, Qiaoxi District, Shijiazhuang 050051, China.
| |
Collapse
|
2
|
Hooijmans MT, Schlaffke L, Bolsterlee B, Schlaeger S, Marty B, Mazzoli V. Compositional and Functional MRI of Skeletal Muscle: A Review. J Magn Reson Imaging 2023:10.1002/jmri.29091. [PMID: 37929681 PMCID: PMC11070452 DOI: 10.1002/jmri.29091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/09/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
Due to its exceptional sensitivity to soft tissues, MRI has been extensively utilized to assess anatomical muscle parameters such as muscle volume and cross-sectional area. Quantitative Magnetic Resonance Imaging (qMRI) adds to the capabilities of MRI, by providing information on muscle composition such as fat content, water content, microstructure, hypertrophy, atrophy, as well as muscle architecture. In addition to compositional changes, qMRI can also be used to assess function for example by measuring muscle quality or through characterization of muscle deformation during passive lengthening/shortening and active contractions. The overall aim of this review is to provide an updated overview of qMRI techniques that can quantitatively evaluate muscle structure and composition, provide insights into the underlying biological basis of the qMRI signal, and illustrate how qMRI biomarkers of muscle health relate to function in healthy and diseased/injured muscles. While some applications still require systematic clinical validation, qMRI is now established as a comprehensive technique, that can be used to characterize a wide variety of structural and compositional changes in healthy and diseased skeletal muscle. Taken together, multiparametric muscle MRI holds great potential in the diagnosis and monitoring of muscle conditions in research and clinical applications. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
- Melissa T Hooijmans
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Lara Schlaffke
- Department of Neurology BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Bart Bolsterlee
- Neuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sarah Schlaeger
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Benjamin Marty
- Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France
| | - Valentina Mazzoli
- Department of Radiology, Stanford University, Stanford, California, USA
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, New York, USA
| |
Collapse
|
3
|
Carpenter RS, Samaan MA, Clasey JL, Butterfield TA, Gao F, Hardy PA, Bollinger LM. Association of vastus lateralis diffusion properties with in vivo quadriceps contractile function in premenopausal women. Scand J Med Sci Sports 2023; 33:213-223. [PMID: 36337008 PMCID: PMC9928607 DOI: 10.1111/sms.14266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 09/10/2022] [Accepted: 10/23/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) parameters correlate with muscle fiber composition, but it is unclear how these relate to in vivo contractile function. PURPOSE To determine the relationship between DTI parameters of the vastus lateralis (VL) and in vivo knee extensor contractile. METHODS Thirteen healthy, premenopausal women underwent magnetic resonance imaging of the mid-thigh to determine patellar tendon moment arm length and quadriceps cross-sectional area. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of the VL were determined using diffusion tensor imaging (DTI). Participants underwent an interpolated twitch (ITT) experiment before and after a fatiguing concentric-eccentric isokinetic knee extension (60°·s-1 ). During the ITT, supramaximal electrical stimuli were delivered to elicit twitch responses from the knee extensors before, during, and after a maximal voluntary isometric contraction (MVIC). Knee extensor-specific tension during twitch and MVIC were calculated from isometric torque data. Pearson's correlations were used to determine the relationship between muscle contractile properties and DTI parameters. RESULTS MD and RD were moderately correlated with peak twitch force and rate of force development. FA and AD were moderately inversely related to percent change in MVIC following exercise. CONCLUSION MD and RD are associated with in vivo quadriceps twitch properties but not voluntary strength, which may reflect the mechanical properties of constituent fiber types. FA and AD appear to relate to MVIC strength following fatiguing exercise.
Collapse
Affiliation(s)
- Rebekah S Carpenter
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, Kentucky, USA
| | - Michael A Samaan
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, Kentucky, USA
| | - Jody L Clasey
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, Kentucky, USA
- Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA
- Body Composition Core Laboratory, University of Kentucky, Lexington, Kentucky, USA
| | - Tim A Butterfield
- Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA
- Department of Athletic Training, University of Kentucky, Lexington, Kentucky, USA
| | - Fan Gao
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, Kentucky, USA
| | - Peter A Hardy
- Department of Radiology, University of Kentucky, Lexington, Kentucky, USA
- Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, Kentucky, USA
| | - Lance M Bollinger
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, Kentucky, USA
- Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA
| |
Collapse
|
4
|
Martín-Noguerol T, Barousse R, Wessell DE, Rossi I, Luna A. A handbook for beginners in skeletal muscle diffusion tensor imaging: physical basis and technical adjustments. Eur Radiol 2022; 32:7623-7631. [PMID: 35554647 DOI: 10.1007/s00330-022-08837-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 04/09/2022] [Accepted: 04/14/2022] [Indexed: 01/03/2023]
Abstract
Magnetic resonance imaging (MRI) of skeletal muscle is routinely performed using morphological sequences to acquire anatomical information. Recently, there is an increasing interest in applying advanced MRI techniques that provide pathophysiologic information for skeletal muscle evaluation to complement standard morphologic information. Among these advanced techniques, diffusion tensor imaging (DTI) has emerged as a potential tool to explore muscle microstructure. DTI can noninvasively assess the movement of water molecules in well-organized tissues with anisotropic diffusion, such as skeletal muscle. The acquisition of DTI studies for skeletal muscle assessment requires specific technical adjustments. Besides, knowledge of DTI physical basis and skeletal muscle physiopathology facilitates the evaluation of this advanced sequence and both image and parameter interpretation. Parameters derived from DTI provide a quantitative assessment of muscle microstructure with potential to become imaging biomarkers of normal and pathological skeletal muscle. KEY POINTS: • Diffusion tensor imaging (DTI) allows to evaluate the three-dimensional movement of water molecules inside biological tissues. • The skeletal muscle structure makes it suitable for being evaluated with DTI. • Several technical adjustments have to be considered for obtaining robust and reproducible DTI studies for skeletal muscle assessment, minimizing potential artifacts.
Collapse
Affiliation(s)
- Teodoro Martín-Noguerol
- MRI Section, Radiology Department, SERCOSA, HT Médica, Carmelo Torres 2, 23007, Jaén, Spain.
| | | | | | | | - Antonio Luna
- MRI Section, Radiology Department, SERCOSA, HT Médica, Carmelo Torres 2, 23007, Jaén, Spain
| |
Collapse
|
5
|
Diffusion tensor imaging (DTI) of human lower leg muscles: correlation between DTI parameters and muscle power with different ankle positions. Jpn J Radiol 2022; 40:939-948. [PMID: 35397060 PMCID: PMC9441424 DOI: 10.1007/s11604-022-01274-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 03/16/2022] [Indexed: 10/26/2022]
Abstract
PURPOSE To compare diffusion tensor imaging (DTI) parameters in healthy adult human lower leg muscles and to determine the correlation between DTI parameters and muscle power measurements among different types of muscle contraction. MATERIALS AND METHODS DTI measurements of the unilateral lower leg muscles having three different types of contraction (non-contraction state, isometric contraction, and soleus shortening) were obtained from 10 healthy adults using a 3-T MRI scanner. DTI parameters (λ1, λ2, λ3, mean diffusivity, and fractional anisotropy) were calculated. The values of the DTI parameters and correlation between the DTI parameters and muscle power measurements (maximum power and maximum amount of work) obtained from a dynamometer were statistically compared among the different types of contraction. Intra- and inter-class correlation coefficients were calculated for analysis of reproducibility. RESULTS The λ1, λ2, λ3, and mean diffusivity of the soleus muscle are significantly lower in the non-contraction state as compared with isometric contraction and soleus shortening (p < 0.05). A positive correlation of the soleus muscle in the non-contraction state was seen between the maximum power and the λ1, λ2, and mean diffusivity. There was a positive correlation between the maximum amount of work and fractional anisotropy in the non-contraction state for the soleus muscle. A negative correlation for the tibialis anterior muscle in the non-contraction state was seen between the maximum amount of work and fractional anisotropy. Overall reproducibility of the DTI parameters was excellent. CONCLUSIONS DTI parameters were significantly changed depending on the ankle joint position and type of muscle contraction.
Collapse
|
6
|
Liu S, Wan C, Li H, Chen W, Pan C. Diffusion Tensor Imaging of the Lateral Pterygoid Muscle in Patients with Temporomandibular Joint Disorders and Healthy Volunteers. Korean J Radiol 2021; 23:218-225. [PMID: 34668354 PMCID: PMC8814700 DOI: 10.3348/kjr.2021.0132] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 07/22/2021] [Accepted: 08/05/2021] [Indexed: 11/17/2022] Open
Abstract
Objective This study aimed to explore the feasibility of functional evaluation of the lateral pterygoid muscle (LPM) using diffusion tensor imaging (DTI) in patients with temporomandibular joint disorders (TMDs). Materials and Methods A total of 119 patients with TMD (23 male and 96 female; mean age ± standard deviation, 41 ± 15 years; 58 bilateral and 61 unilateral involvements for a total of 177 joints) and 20 healthy volunteers (9 male and 11 female; 40 ± 13 years; 40 joints) were included in this prospective study. Based on DTI of the jaw in the resting state, the diffusion parameters, apparent diffusion coefficient (ADC), fractional anisotropy (FA), λ1, λ2, and λ3 of the superior and inferior heads of the LPM (SHLPM and IHLPM) were measured. Patients with TMD with normal disc position (ND), anterior disc displacement with reduction (ADWR), and anterior disc displacement without reduction (ADWOR) were compared. Results Patients with TMD overall, and ADWR and ADWOR subgroups had significantly higher ADC, λ1, λ2, and λ3 in both the SHLPM and IHLPM than those in volunteers (p < 0.05 for all), whereas the ND subgroup only had significantly higher ADC and λ1 (p < 0.001). Meanwhile, significant differences in FA in the SHLPM and IHLPM were found between volunteers and ADWOR (p = 0.014 and p = 0.037, respectively). Among the three TMD subgroups, except for λ3 and FA in the ADWR subgroup, ADWR and ADWOR subgroups had significantly higher ADC, λ1, λ2, and λ3 and lower FA than those in the ND group (p < 0.050). There was no significant difference in diffusion variables between ADWR and ADWOR. In ADWOR, the osteoarthritis group had significantly higher λ3 and lower FA values in the IHLPM than those in the non-osteoarthritis group. Conclusion DTI successfully detected functional changes in the LPM in patients with TMD. The unsynchronized diffusivity changes in the LPM in different subgroups of TMD signified the possibility of using diffusion parameters as indicators to identify the severity of LPM hyperfunction at various stages of TMD.
Collapse
Affiliation(s)
- Simin Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Changhua Wan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haosen Li
- Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiwei Chen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. ; and
| | - Chu Pan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| |
Collapse
|
7
|
Farrow M, Biglands J, Alfuraih AM, Wakefield RJ, Tan AL. Novel Muscle Imaging in Inflammatory Rheumatic Diseases-A Focus on Ultrasound Shear Wave Elastography and Quantitative MRI. Front Med (Lausanne) 2020; 7:434. [PMID: 32903395 PMCID: PMC7434835 DOI: 10.3389/fmed.2020.00434] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 07/06/2020] [Indexed: 12/31/2022] Open
Abstract
In recent years, imaging has played an increasing role in the clinical management of patients with rheumatic diseases with respect to aiding diagnosis, guiding therapy and monitoring disease progression. These roles have been underpinned by research which has enhanced our understanding of disease pathogenesis and pathophysiology of rheumatology conditions, in addition to their key role in outcome measurement in clinical trials. However, compared to joints, imaging research of muscles is less established, despite the fact that muscle symptoms are very common and debilitating in many rheumatic diseases. Recently, it has been shown that even though patients with rheumatoid arthritis may achieve clinical remission, defined by asymptomatic joints, many remain affected by lingering constitutional systemic symptoms like fatigue, tiredness, weakness and myalgia, which may be attributed to changes in the muscles. Recent improvements in imaging technology, coupled with an increasing clinical interest, has started to ignite new interest in the area. This perspective discusses the rationale for using imaging, particularly ultrasound and MRI, for investigating muscle pathology involved in common inflammatory rheumatic diseases. The muscles associated with rheumatic diseases can be affected in many ways, including myositis-an inflammatory muscle condition, and myopathy secondary to medications, such as glucocorticoids. In addition to non-invasive visual assessment of muscles in these conditions, novel imaging techniques like shear wave elastography and quantitative MRI can provide further useful information regarding the physiological and biomechanical status of the muscle.
Collapse
Affiliation(s)
- Matthew Farrow
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, United Kingdom.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.,School of Pharmacy and Medical Sciences, University of Bradford, Bradford, United Kingdom
| | - John Biglands
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.,Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Abdulrahman M Alfuraih
- Radiology and Medical Imaging Department, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Richard J Wakefield
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, United Kingdom.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Ai Lyn Tan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, United Kingdom.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| |
Collapse
|
8
|
Cai J, Klein L, Wu P, Wilson A, Xu X, Scholp A, Bao H, Wang X, Jiang JJ, Liu T, Zhuang P. Evaluation of Diffusional Characteristics and Microstructure in Unilateral Vocal Fold Paralysis Using Diffusion Tensor Imaging. EAR, NOSE & THROAT JOURNAL 2019; 100:NP177-NP184. [PMID: 31550925 DOI: 10.1177/0145561319874721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the value of diffusion tensor imaging (DTI) in the evaluation of vocal fold tissue microstructure after recurrent laryngeal nerve (RLN) injury. METHODS Six canines were divided into 2 groups: a unilateral vocal fold paralysis group (n = 4) and a control group (n = 2). The RLN was cut in the unilateral vocal fold paralysis group, and no intervention was applied in the control group. After 4 months, the canines' larynges were removed and placed in a small animal magnetic resonance imaging (MRI) system (9.4T BioSpec MRI; Bruker, Germany). After scanning, the vocal folds were isolated, sectioned, and stained. The slides were then analyzed for the cross-sectional area and muscle fiber density through feature extraction technology. Pearson correlation analysis was performed on the DTI scan and histological section extraction results. RESULTS In the vocal fold muscle layer, the fractional anisotropy (FA) of the unilateral RLN injury group was higher than that of the control group, and the Tensor Trace was lower than that of the control group. This difference was statistically significant, P < .05. In the lamina propria, the FA of the unilateral RLN injury group was lower than that of the control group, P > .05, and the Tensor Trace was lower than that of the control group, P < .05. The muscle fiber cross-sectional area of the RLN injury group was significantly smaller than the control group with statistical significance, P < .05, and the density of muscle fibers was lower, P < .05. The correlation coefficient between FA and the cross-sectional area was -0.838, P = .002, and .726; P = .017 between Tensor Trace and the cross-sectional area. CONCLUSION Diffusion tensor imaging is an effective method to assess the changes in the microstructure of atrophic vocal fold muscle tissue after RLN injury.
Collapse
Affiliation(s)
- Jie Cai
- School of Medicine, 12466Xiamen University, Xiamen, China
| | - Logan Klein
- Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, 5232School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Pinhong Wu
- 5919Barnard College of Columbia University, Manhattan, NY, USA
| | - Azure Wilson
- Department of Communication Science and Disorders, 6614University of Pittsburgh, Pittsburgh, PA, USA
| | - Xinlin Xu
- Department of ENT, Zhongshan Hospital, 12466Xiamen University, Xiamen, China
| | - Austin Scholp
- Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, 5232School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Huijing Bao
- School of Medicine, 12466Xiamen University, Xiamen, China
| | - Xi Wang
- School of Medicine, 12466Xiamen University, Xiamen, China
| | - Jack J Jiang
- Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, 5232School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Ting Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
| | - Peiyun Zhuang
- Department of ENT, Zhongshan Hospital, 12466Xiamen University, Xiamen, China
| |
Collapse
|
9
|
Klupp E, Cervantes B, Schlaeger S, Inhuber S, Kreuzpointer F, Schwirtz A, Rohrmeier A, Dieckmeyer M, Hedderich DM, Diefenbach MN, Freitag F, Rummeny EJ, Zimmer C, Kirschke JS, Karampinos DC, Baum T. Paraspinal Muscle DTI Metrics Predict Muscle Strength. J Magn Reson Imaging 2019; 50:816-823. [PMID: 30723976 PMCID: PMC6767405 DOI: 10.1002/jmri.26679] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 01/20/2019] [Accepted: 01/23/2019] [Indexed: 01/19/2023] Open
Abstract
Background The paraspinal muscles play an important role in the onset and progression of lower back pain. It would be of clinical interest to identify imaging biomarkers of the paraspinal musculature that are related to muscle function and strength. Diffusion tensor imaging (DTI) enables the microstructural examination of muscle tissue and its pathological changes. Purpose To investigate associations of DTI parameters of the lumbar paraspinal muscles with isometric strength measurements in healthy volunteers. Study Type Prospective. Subjects Twenty‐one healthy subjects (12 male, 9 female; age = 30.1 ± 5.6 years; body mass index [BMI] = 27.5 ± 2.6 kg/m2) were recruited. Field Strength/Sequence 3 T/single‐shot echo planar imaging (ss‐EPI) DTI in 24 directions; six‐echo 3D spoiled gradient echo sequence for chemical shift encoding‐based water–fat separation. Assessment Paraspinal muscles at the lumbar spine were examined. Erector spinae muscles were segmented bilaterally; cross‐sectional area (CSA), proton density fat fraction (PDFF), and DTI parameters were calculated. Muscle flexion and extension maximum isometric torque values [Nm] at the back were measured with an isokinetic dynamometer and the ratio of extension to flexion strength (E/F) calculated. Statistical Tests Pearson correlation coefficients; multivariate regression models. Results Significant positive correlations were found between the ratio of extension to flexion (E/F) strength and mean diffusivity (MD) (P = 0.019), RD (P = 0.02) and the eigenvalues (λ1: P = 0.026, λ2: P = 0.033, λ3: P = 0.014). In multivariate regression models λ3 of the erector spinae muscle λ3 and gender remained statistically significant predictors of E/F (R2adj = 0.42, P = 0.003). Data Conclusion DTI allowed the identification of muscle microstructure differences related to back muscle function that were not reflected by CSA and PDFF. DTI may potentially track subtle changes of back muscle tissue composition. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:816–823.
Collapse
Affiliation(s)
- Elisabeth Klupp
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Barbara Cervantes
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Sarah Schlaeger
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephanie Inhuber
- Biomechanics in Sports, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Florian Kreuzpointer
- Biomechanics in Sports, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Ansgar Schwirtz
- Biomechanics in Sports, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Alexander Rohrmeier
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Michael Dieckmeyer
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dennis M Hedderich
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Maximilian N Diefenbach
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Friedemann Freitag
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| |
Collapse
|
10
|
Arrigoni F, De Luca A, Velardo D, Magri F, Gandossini S, Russo A, Froeling M, Bertoldo A, Leemans A, Bresolin N, D'angelo G. Multiparametric quantitative MRI assessment of thigh muscles in limb-girdle muscular dystrophy 2A and 2B. Muscle Nerve 2018; 58:550-558. [PMID: 30028523 DOI: 10.1002/mus.26189] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 05/29/2018] [Accepted: 06/03/2018] [Indexed: 12/15/2022]
Abstract
INTRODUCTION The aim of this study was to apply quantitative MRI (qMRI) to assess structural modifications in thigh muscles of subjects with limb girdle muscular dystrophy (LGMD) 2A and 2B with long disease duration. METHODS Eleven LGMD2A, 9 LGMD2B patients and 11 healthy controls underwent a multi-parametric 3T MRI examination of the thigh. The protocol included structural T1-weighted images, DIXON sequences for fat fraction calculation, T2 values quantification and diffusion MRI. Region of interest analysis was performed on 4 different compartments (anterior compartment, posterior compartment, gracilis, sartorius). RESULTS Patients showed high levels of fat infiltration as measured by DIXON sequences. Sartorius and anterior compartment were more infiltrated in LGMD2B than LGMD2A patients. T2 values were mildly reduced in both disorders. Correlations between clinical scores and qMRI were found. CONCLUSIONS qMRI measures may help to quantify muscular degeneration, but careful interpretation is needed when fat infiltration is massive. Muscle Nerve 58: 550-558, 2018.
Collapse
Affiliation(s)
- Filippo Arrigoni
- Neuroimaging Lab, Scientific Institute, IRCCS E. Medea, Via don L. Monza 20, Bosisio Parini, Italy
| | - Alberto De Luca
- Image Sciences Institute, University Medical Center Utrecht and University Utrecht, Utrecht, The Netherlands
| | - Daniele Velardo
- NeuroMuscular Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Italy
| | - Francesca Magri
- Neurology Unit, IRCCS Foundation Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Sandra Gandossini
- NeuroMuscular Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Italy
| | - Annamaria Russo
- NeuroMuscular Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Italy
| | - Martijn Froeling
- NeuroMuscular Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Italy
| | | | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht and University Utrecht, Utrecht, The Netherlands
| | - Nereo Bresolin
- Neurology Unit, IRCCS Foundation Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Grazia D'angelo
- NeuroMuscular Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Italy
| |
Collapse
|
11
|
Pan SN, Lyu XH, Liu Q, Guo QY. Pay Attention to the Imaging Study of Sport Injury and Illness in Winter Olympics Sports. Chin Med J (Engl) 2018; 131:1013-1015. [PMID: 29692370 PMCID: PMC5937306 DOI: 10.4103/0366-6999.230722] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Shi-Nong Pan
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China
| | - Xiao-Hong Lyu
- Department of Radiology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning 121000, China
| | - Qiang Liu
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China
| | - Qi-Yong Guo
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China
| |
Collapse
|
12
|
Liu LS, Zheng ZZ, Yuan HS. Significance of Diffusion Tensor Imaging of Vastus Medialis Oblique in Recurrent Patellar Dislocation. Chin Med J (Engl) 2017; 130:642-646. [PMID: 28303844 PMCID: PMC5358411 DOI: 10.4103/0366-6999.201607] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Background: Numerous studies have investigated the influence of osseous factors on patellofemoral joint instability, but research on the influence of dynamic muscle factors in vivo is still in the exploratory stage. This study aimed to use magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) to evaluate vastus medialis oblique (VMO) fiber bundles in patients with recurrent patellar dislocation to explore the changes in muscle morphology and function. Methods: This prospective study involved 30 patients (7 males and 23 females; average age, 21.4 ± 3.8 years) clinically diagnosed with recurrent patellar dislocation in Peking University Third Hospital and 30 healthy volunteers matched for age, sex, and body mass index in our medical school between January 2014 and October 2014. None of the patients had a recent history of traumatic patellar dislocation or transient patellar dislocation. All patients underwent conventional MRI and DTI of the knee. The cross-sectional area of the VMO on MRI and the fractional anisotropy (FA), apparent diffusion coefficient (ADC), and primary (λ1), secondary (λ2), and three-level characteristic (λ3) values on DTI were measured. The independent-samples t-test was used to compare these parameters between the two groups. Results: Compared with the control group, the patient group showed significantly higher FA values (0.39 ± 0.05 vs. 0.33 ± 0.03) and significantly lower ADC (1.51 ± 0.13 vs. 1.58 ± 0.07), λ2 (4.96 ± 0.13 vs. 5.04 ± 0.07), and λ3 values (4.44 ± 0.14 vs. 4.58 ± 0.07; t = 5.99, t = –2.58, t = –3.02, and t = –4.88, respectively; all P < 0.05). Cross-sectional VMO area and λ1 values did not differ between the two groups (t = –1.82 and t = 0.22, respectively; both P > 0.05). Conclusions: The functional status of the VMO is closely associated with recurrent patellar dislocation. MRI, especially DTI (FA, ADC, λ2, and λ3), can detect early changes in VMO function and might facilitate the noninvasive monitoring of the functional status of the VMO in patients with recurrent patellar dislocation.
Collapse
Affiliation(s)
- Li-Si Liu
- Department of Radiology, Peking University Third Hospital, Beijing 100191, China
| | - Zhuo-Zhao Zheng
- Department of Radiology, Tsinghua Changgung Hospital, Beijing 102218, China
| | - Hui-Shu Yuan
- Department of Radiology, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
13
|
Mazzoli V, Oudeman J, Nicolay K, Maas M, Verdonschot N, Sprengers AM, Nederveen AJ, Froeling M, Strijkers GJ. Assessment of passive muscle elongation using Diffusion Tensor MRI: Correlation between fiber length and diffusion coefficients. NMR IN BIOMEDICINE 2016; 29:1813-1824. [PMID: 27862471 DOI: 10.1002/nbm.3661] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Revised: 09/20/2016] [Accepted: 09/23/2016] [Indexed: 06/06/2023]
Abstract
In this study we investigated the changes in fiber length and diffusion parameters as a consequence of passive lengthening and stretching of the calf muscles. We hypothesized that changes in radial diffusivity (RD) are caused by changes in the muscle fiber cross sectional area (CSA) as a consequence of lengthening and shortening of the muscle. Diffusion Tensor MRI (DT-MRI) measurements were made twice in five healthy volunteers, with the foot in three different positions (30° plantarflexion, neutral position and 15° dorsiflexion). The muscles of the calf were manually segmented on co-registered high resolution anatomical scans, and maps of RD and axial diffusivity (AD) were reconstructed from the DT-MRI data. Fiber tractography was performed and mean fiber length was calculated for each muscle group. Significant negative correlations were found between the changes in RD and changes in fiber length in the dorsiflexed and plantarflexed positions, compared with the neutral foot position. Changes in AD did not correlate with changes in fiber length. Assuming a simple cylindrical model with constant volume for the muscle fiber, the changes in the muscle fiber CSA were calculated from the changes in fiber length. In line with our hypothesis, we observed a significant positive correlation of the CSA with the measured changes in RD. In conclusion, we showed that changes in diffusion coefficients induced by passive muscle stretching and lengthening can be explained by changes in muscle CSA, advancing the physiological interpretation of parameters derived from skeletal muscle DT-MRI.
Collapse
Affiliation(s)
- Valentina Mazzoli
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
- Orthopedic Research Laboratory, Radboud UMC, Nijmegen, the Netherlands
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Jos Oudeman
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Klaas Nicolay
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Mario Maas
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Nico Verdonschot
- Orthopedic Research Laboratory, Radboud UMC, Nijmegen, the Netherlands
| | - Andre M Sprengers
- Orthopedic Research Laboratory, Radboud UMC, Nijmegen, the Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Martijn Froeling
- Department of Radiology, University Medical Center, Utrecht, the Netherlands
| | - Gustav J Strijkers
- Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, the Netherlands
| |
Collapse
|
14
|
Hooijmans M, Damon B, Froeling M, Versluis M, Burakiewicz J, Verschuuren J, Webb A, Niks E, Kan H. Evaluation of skeletal muscle DTI in patients with duchenne muscular dystrophy. NMR IN BIOMEDICINE 2015; 28:1589-97. [PMID: 26449628 PMCID: PMC4670831 DOI: 10.1002/nbm.3427] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Revised: 09/08/2015] [Accepted: 09/11/2015] [Indexed: 05/05/2023]
Abstract
Diffusion tensor imaging (DTI) is a popular method to assess differences in fiber organization in diseased and healthy muscle tissue. Previous work has shown that muscle DTI measurements depend on signal-to-noise ratio (SNR), %fat, and tissue T2. The goal of this study was to evaluate the potential biasing effects of these factors on skeletal muscle DTI data in patients with Duchenne Muscular Dystrophy (DMD). MR images were obtained of the right lower leg of 21 DMD patients and 12 healthy controls on a Philips 3T system. DTI measurements were combined with quantitative in-vivo measures of mean water T2, %fat and SNR to evaluate their effect on DTI parameter estimation. All outcome measures were determined within ROIs drawn for six lower leg muscles. Between group analysis, using all ROIs, revealed a significantly elevated FA in the GCL, SOL and PER muscles (p<0.05) and an increased mean diffusivity (p<0.05) and λ3 (p<0.05) in the TA muscle of DMD patients. In-vivo evaluation of the individual confounders showed behaviour in line with predictions from previous simulation work. To account for these confounders, subsequent analysis used only ROIs with SNR greater than 20. With this criterion we found significantly greater MD in the TA muscle of DMD patient (p<0.009) and λ3 in the TA and GCL muscles (p<0.001) of DMD patients, but no differences in FA. As both increased %fat and lower SNR are expected to reduce the apparent MD and λ3, these between-group differences are likely due to pathophysiology. However, the increased FA, observed when using all ROIs, likely reflects the effect of low SNR and %fat on the DTI parameter estimation. These findings suggest that measuring mean water T2, %fat and SNR is essential to ascribe changes in DTI measures to intrinsic diffusion changes or to confounding influences.
Collapse
Affiliation(s)
- M.T. Hooijmans
- Dept of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Centre, Leiden, The Netherlands
| | - B.M. Damon
- Depts. of Radiology and Radiological Sciences, Biomedical Engineering, and Molecular Physiology and Biophysics, Vanderbilt University, Nashville TN USA
| | - M. Froeling
- Dept of Radiology, Utrecht Medical Center, Utrecht, The Netherlands
| | | | - J. Burakiewicz
- Dept of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Centre, Leiden, The Netherlands
| | - J.J.G.M Verschuuren
- Dept of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - A.G. Webb
- Dept of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Centre, Leiden, The Netherlands
| | - E.H. Niks
- Dept of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - H.E. Kan
- Dept of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Centre, Leiden, The Netherlands
| |
Collapse
|
15
|
Oudeman J, Nederveen AJ, Strijkers GJ, Maas M, Luijten PR, Froeling M. Techniques and applications of skeletal muscle diffusion tensor imaging: A review. J Magn Reson Imaging 2015. [PMID: 26221741 DOI: 10.1002/jmri.25016] [Citation(s) in RCA: 127] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Diffusion tensor imaging (DTI) is increasingly applied to study skeletal muscle physiology, anatomy, and pathology. The reason for this growing interest is that DTI offers unique, noninvasive, and potentially diagnostically relevant imaging readouts of skeletal muscle structure that are difficult or impossible to obtain otherwise. DTI has been shown to be feasible within most skeletal muscles. DTI parameters are highly sensitive to patient-specific properties such as age, body mass index (BMI), and gender, but also to more transient factors such as exercise, rest, pressure, temperature, and relative joint position. However, when designing a DTI study one should not only be aware of sensitivity to the above-mentioned factors but also the fact that the DTI parameters are dependent on several acquisition parameters such as echo time, b-value, and diffusion mixing time. The purpose of this review is to provide an overview of DTI studies covering the technical, demographic, and clinical aspects of DTI in skeletal muscles. First we will focus on the critical aspects of the acquisition protocol. Second, we will cover the reported normal variance in skeletal muscle diffusion parameters, and finally we provide an overview of clinical studies and reported parameter changes due to several (patho-)physiological conditions.
Collapse
Affiliation(s)
- Jos Oudeman
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Gustav J Strijkers
- Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands
| | - Mario Maas
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Peter R Luijten
- Department of Radiology, University Medical Center, Utrecht, Utrecht, The Netherlands
| | - Martijn Froeling
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands.,Department of Radiology, University Medical Center, Utrecht, Utrecht, The Netherlands
| |
Collapse
|
16
|
Whole-body diffusion kurtosis imaging: initial experience on non-Gaussian diffusion in various organs. Invest Radiol 2015; 49:773-8. [PMID: 24979203 DOI: 10.1097/rli.0000000000000082] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Diffusion kurtosis imaging (DKI) is based on a non-Gaussian diffusion model that should inherently better account for restricted water diffusion within the complex microstructure of most tissues than the conventional diffusion-weighted imaging (DWI), which presumes Gaussian distributed water molecule displacement probability. The aim of this investigation was to test the technical feasibility of in vivo whole-body DKI, probe for organ-specific differences, and compare whole-body DKI and DWI results. MATERIALS AND METHODS Eight healthy subjects underwent whole-body DWI on a clinical 3.0 T magnetic resonance imaging system. Echo-planar images in the axial orientation were acquired at b-values of 0, 150, 300, 500, and 800 mm²/s. Parametrical whole-body maps of the diffusion coefficient (D), the kurtosis (K), and the traditional apparent diffusion coefficient (ADC) were generated. Goodness of fit was compared between DKI and DWI fits using the sums of squared residuals. Data groups were tested for significant differences of the mean by paired Student t tests. RESULTS Good-quality parametrical whole-body maps of D, K, and ADC could be computed. Compared with ADC values, D values were significantly higher in the cerebral gray matter (by 30%) and white matter (27%), renal cortex (23%) and medulla (21%), spleen (101%), as well as erector spinae muscle (34%) (each P value <0.001). No significant differences between D and ADC were found in the cerebrospinal fluid (P = 0.08) and in the liver (P = 0.13). Curves of DKI fitted the measurement points significantly better than DWI curves did in most organs. CONCLUSIONS Whole-body DKI is technically feasible and may reflect tissue microstructure more meaningfully than whole-body DWI.
Collapse
|
17
|
Crema MD, Yamada AF, Guermazi A, Roemer FW, Skaf AY. Imaging techniques for muscle injury in sports medicine and clinical relevance. Curr Rev Musculoskelet Med 2015; 8:154-61. [PMID: 25708212 DOI: 10.1007/s12178-015-9260-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Magnetic resonance imaging (MRI) and ultrasound are the imaging modalities of choice to assess muscle injuries in athletes. Most authors consider MRI as the reference standard for evaluation of muscle injuries, since it superiorly depicts the extent of injuries independently of its temporal evolution, and due to the fact that MRI seems to be more sensitive for the detection of minimal injuries. Furthermore, MRI may potentially allow sports medicine physicians to more accurately estimate recovery times of athletes sustaining muscle injuries in the lower limbs, as well as the risk of re-injury. However, based on data available, the specific utility of imaging (including MRI) regarding its prognostic value remains limited and controversial. Although high-quality imaging is systematically performed in professional athletes and data extracted from it may potentially help to plan and guide management of muscle injuries, clinical (and functional) assessment is still the most valuable tool to guide return to competition decisions.
Collapse
Affiliation(s)
- Michel D Crema
- Department of Radiology, Hospital do Coração (HCor) and Teleimagem, São Paulo, SP, Brazil,
| | | | | | | | | |
Collapse
|
18
|
Filli L, Boss A, Wurnig MC, Kenkel D, Andreisek G, Guggenberger R. Dynamic intravoxel incoherent motion imaging of skeletal muscle at rest and after exercise. NMR IN BIOMEDICINE 2015; 28:240-246. [PMID: 25521711 DOI: 10.1002/nbm.3245] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Revised: 10/14/2014] [Accepted: 11/14/2014] [Indexed: 06/04/2023]
Abstract
The purpose of this work was to demonstrate the feasibility of intravoxel incoherent motion imaging (IVIM) for non-invasive quantification of perfusion and diffusion effects in skeletal muscle at rest and following exercise. After IRB approval, eight healthy volunteers underwent diffusion-weighted MRI of the forearm at 3 T and eight different b values between 0 and 500 s/mm(2) with a temporal resolution of 57 s per dataset. Dynamic images were acquired before and after a standardized handgrip exercise. Diffusion (D) and pseudodiffusion (D*) coefficients as well as the perfusion fraction (FP ) were measured in regions of interest in the flexor digitorum superficialis and profundus (FDS/FDP), brachioradialis, and extensor carpi radialis longus and brevis muscles by using a multi-step bi-exponential analysis in MATLAB. Parametrical maps were calculated voxel-wise. Differences in D, D*, and FP between muscle groups and between time points were calculated using a repeated measures analysis of variance with post hoc Bonferroni tests. Mean values and standard deviations at rest were the following: D*, 28.5 ± 11.4 × 10(-3) mm(2) /s; FP , 0.03 ± 0.01; D, 1.45 ± 0.09 × 10(-3) mm(2) /s. Changes of IVIM parameters were clearly visible on the parametrical maps. In the FDS/FDP, D* increased by 289 ± 236% (p < 0.029), FP by 138 ± 58% (p < 0.01), and D by 17 ± 9% (p < 0.01). A significant increase of IVIM parameters could also be detected in the brachioradialis muscle, which however was significantly lower than in the FDS/FDP. After 20 min, all parameters were still significantly elevated in the FDS/FDP but not in the brachioradialis muscle compared with the resting state. The IVIM approach allows simultaneous quantification of muscle perfusion and diffusion effects at rest and following exercise. It may thus provide a useful alternative to other non-invasive methods such as arterial spin labeling. Possible fields of interest for this technique include perfusion-related muscle diseases, such as peripheral arterial occlusive disease.
Collapse
Affiliation(s)
- Lukas Filli
- Department of Diagnostic and Interventional Radiology, University Hospital of Zurich, Zurich, Switzerland
| | | | | | | | | | | |
Collapse
|