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Misaka T, Hashimoto Y, Ashikaga R, Ishida T. Chemical shift-encoded MRI with compressed sensing combined with parallel imaging for proton density fat fraction measurement of the lumbar vertebral bone marrow. Medicine (Baltimore) 2024; 103:e37748. [PMID: 38608106 PMCID: PMC11018235 DOI: 10.1097/md.0000000000037748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 03/07/2024] [Indexed: 04/14/2024] Open
Abstract
We aimed to investigate the accuracy of proton density fat fraction (PDFF) measurement of the lumbar vertebral bone marrow using chemical shift-encoded magnetic resonance imaging (CSE-MRI) with compressed sensing combined with parallel imaging (CSPI). This study recruited a commercially available phantom, and 43 patients. Fully sampled data without CSPI and under-sampled data with CSPI acceleration factors of 2.4, 3.6, and 4.8 were acquired using a 1.5T imaging system. The relationships between PDFF measurements obtained with the no-CSPI acquisition and those obtained with each CSPI acquisition were assessed using Pearson correlation coefficient (r), linear regression analyses, and Bland-Altman analysis. The intra- and inter-observer variabilities of the PDFF measurements were evaluated using the intraclass correlation coefficient. PDFF measurements obtained with all acquisitions showed a significant correlation and strong agreement with the reference PDFF measurement of the phantom. PDFF measurements obtained using CSE-MRI with and without CSPI were positively correlated (all acquisitions: r = 0.99; P < .001). The mean bias was -0.31% to -0.17% with 95% limits of agreement within ±2.02%. The intra- and inter-observer agreements were excellent (intraclass correlation coefficient: 0.988 and 0.981, respectively). A strong agreement and positive correlation were observed between the PDFF measurements obtained using CSE-MRI with and without CSPI. PDFF measurement of the lumbar vertebral bone marrow using CSE-MRI with CSPI can be acquired with a maximum reduction of approximately 75% in the acquisition time compared with a fully sampled acquisition.
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Affiliation(s)
- Tomofumi Misaka
- Department of Radiology, Kindai University Nara Hospital, Ikoma, Japan
- Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Japan
| | | | | | - Takayuki Ishida
- Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Japan
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Reyngoudt H, Baudin PY, Carlier PG, Lopez Kolkovsky AL, de Almeida Araujo EC, Marty B. New Insights into the Spread of MRS-Based Water T2 Values Observed in Highly Fatty Replaced Muscles. J Magn Reson Imaging 2023; 58:1557-1568. [PMID: 36877200 DOI: 10.1002/jmri.28669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND The reference standard for assessing water T2 (T2,H2O ) at high fat fraction (FF) is 1 H MRS. T2,H2O (T2,H2O,MRS ) dependence on FF (FFMRS ) has recently been demonstrated in muscle at high FF (i.e. ≥60%). PURPOSE To investigate the relationship between T2,H2O,MRS and FFMRS in the thigh/leg muscles of patients with neuromuscular diseases and to compare with quantitative MRI. STUDY TYPE Retrospective case-control study. POPULATION A total of 151 patients with neuromuscular disorders (mean age ± standard deviation = 52.5 ± 22.6 years, 54% male), 44 healthy volunteers (26.5 ± 13.0 years, 57% male). FIELD STRENGTH/SEQUENCE A 3-T; single-voxel stimulated echo acquisition mode (STEAM) MRS, multispin echo (MSE) imaging (for T2 mapping, T2,H2O,MRI ), three-point Dixon imaging (for FFMRI andR 2 * mapping). ASSESSMENT Mono-exponential and bi-exponential models were fitted to water T2 decay curves to extract T2,H2O,MRS and FFMRS . Water resonance full-width-at-half-maximum (FWHM) and B0 spread (∆B0 ) values were calculated. T2,H2O,MRI (mean), FFMRI (mean, kurtosis, and skewness), andR 2 * (mean) values were estimated in the MRS voxel. STATISTICAL TESTS Mann-Whitney U tests, Kruskal-Wallis tests. A P-value <0.05 was considered statistically significant. RESULTS Normal T2,H2O,MRS threshold was defined as the 90th percentile in healthy controls: 30.3 msec. T2,H2O,MRS was significantly higher in all patients with FFMRS < 60% compared to healthy controls. We discovered two subgroups in patients with FFMRS ≥ 60%: one with T2,H2O,MRS ≥ 30.3 msec and one with T2,H2O,MRS < 30.3 msec including abnormally low T2,H2O,MRS . The latter subgroup had significantly higher water resonance FWHM, ∆B0 , FFMRI kurtosis, and skewness values but nonsignificantly differentR 2 * (P = 1.00) and long T2,H2O,MRS component and its fraction (P > 0.11) based on the bi-exponential analysis. DATA CONCLUSION The findings suggest that the cause for (abnormally) T2,H2O,MRS at high FFMRS is biophysical, due to differences in susceptibility between muscle and fat (increased FWHM and ∆B0 ), rather than pathophysiological such as compartmentation changes, which would be reflected by the bi-exponential analysis. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre-Yves Baudin
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre G Carlier
- Université Paris Saclay, CEA, Service Hospitalier Frédéric Joliot, Orsay, France
| | | | | | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
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3
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Comi GP, Niks EH, Vandenborne K, Cinnante CM, Kan HE, Willcocks RJ, Velardo D, Magri F, Ripolone M, van Benthem JJ, van de Velde NM, Nava S, Ambrosoli L, Cazzaniga S, Bettica PU. Givinostat for Becker muscular dystrophy: A randomized, placebo-controlled, double-blind study. Front Neurol 2023; 14:1095121. [PMID: 36793492 PMCID: PMC9923355 DOI: 10.3389/fneur.2023.1095121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/09/2023] [Indexed: 02/03/2023] Open
Abstract
Objective No treatments are approved for Becker muscular dystrophy (BMD). This study investigated the efficacy and safety of givinostat, a histone deacetylase pan-inhibitor, in adults with BMD. Methods Males aged 18-65 years with a diagnosis of BMD confirmed by genetic testing were randomized 2:1 to 12 months treatment with givinostat or placebo. The primary objective was to demonstrate statistical superiority of givinostat over placebo for mean change from baseline in total fibrosis after 12 months. Secondary efficacy endpoints included other histological parameters, magnetic resonance imaging and spectroscopy (MRI and MRS) measures, and functional evaluations. Results Of 51 patients enrolled, 44 completed treatment. At baseline, there was greater disease involvement in the placebo group than givinostat, based on total fibrosis (mean 30.8 vs. 22.8%) and functional endpoints. Mean total fibrosis did not change from baseline in either group, and the two groups did not differ at Month 12 (least squares mean [LSM] difference 1.04%; p = 0.8282). Secondary histology parameters, MRS, and functional evaluations were consistent with the primary. MRI fat fraction in whole thigh and quadriceps did not change from baseline in the givinostat group, but values increased with placebo, with LSM givinostat-placebo differences at Month 12 of -1.35% (p = 0.0149) and -1.96% (p = 0.0022), respectively. Adverse events, most mild or moderate, were reported by 88.2% and 52.9% patients receiving givinostat and placebo. Conclusion The study failed to achieve the primary endpoint. However, there was a potential signal from the MRI assessments suggesting givinostat could prevent (or slow down) BMD disease progression.
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Affiliation(s)
- Giacomo P. Comi
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy,Department of Pathophysiology and Transplantation, Dino Ferrari Center, University of Milan, Milan, Italy,*Correspondence: Giacomo P. Comi ✉
| | - Erik H. Niks
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands,Duchenne Center Netherlands, Netherlands
| | | | | | - Hermien E. Kan
- Duchenne Center Netherlands, Netherlands,Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, Netherlands
| | | | - Daniele Velardo
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesca Magri
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Michela Ripolone
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Jules J. van Benthem
- Department of Orthopedics, Rehabilitation and Physiotherapy, Leiden University Medical Center, Leiden, Netherlands
| | - Nienke M. van de Velde
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands,Duchenne Center Netherlands, Netherlands
| | - Simone Nava
- Radiology Department, Istituto Auxologico Italiano, IRCCS, Milan, Italy
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Reyngoudt H, Smith FE, Caldas de Almeida Araújo E, Wilson I, Fernández-Torrón R, James MK, Moore UR, Díaz-Manera J, Marty B, Azzabou N, Gordish H, Rufibach L, Hodgson T, Wallace D, Ward L, Boisserie JM, Le Louër J, Hilsden H, Sutherland H, Canal A, Hogrel JY, Jacobs M, Stojkovic T, Bushby K, Mayhew A, Straub V, Carlier PG, Blamire AM. Three-year quantitative magnetic resonance imaging and phosphorus magnetic resonance spectroscopy study in lower limb muscle in dysferlinopathy. J Cachexia Sarcopenia Muscle 2022; 13:1850-1863. [PMID: 35373496 PMCID: PMC9178361 DOI: 10.1002/jcsm.12987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 02/10/2022] [Accepted: 02/28/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Natural history studies in neuromuscular disorders are vital to understand the disease evolution and to find sensitive outcome measures. We performed a longitudinal assessment of quantitative magnetic resonance imaging (MRI) and phosphorus magnetic resonance spectroscopy (31 P MRS) outcome measures and evaluated their relationship with function in lower limb skeletal muscle of dysferlinopathy patients. METHODS Quantitative MRI/31 P MRS data were obtained at 3 T in two different sites in 54 patients and 12 controls, at baseline, and three annual follow-up visits. Fat fraction (FF), contractile cross-sectional area (cCSA), and muscle water T2 in both global leg and thigh segments and individual muscles and 31 P MRS indices in the anterior leg compartment were assessed. Analysis included comparisons between patients and controls, assessments of annual changes using a linear mixed model, standardized response means (SRM), and correlations between MRI and 31 P MRS markers and functional markers. RESULTS Posterior muscles in thigh and leg showed the highest FF values. FF at baseline was highly heterogeneous across patients. In ambulant patients, median annual increases in global thigh and leg segment FF values were 4.1% and 3.0%, respectively (P < 0.001). After 3 years, global thigh and leg FF increases were 9.6% and 8.4%, respectively (P < 0.001). SRM values for global thigh FF were over 0.8 for all years. Vastus lateralis muscle showed the highest SRM values across all time points. cCSA decreased significantly after 3 years with median values of 11.0% and 12.8% in global thigh and global leg, respectively (P < 0.001). Water T2 values in ambulant patients were significantly increased, as compared with control values (P < 0.001). The highest water T2 values were found in the anterior part of thigh and leg. Almost all 31 P MRS indices were significantly different in patients as compared with controls (P < 0.006), except for pHw , and remained, similar as to water T2 , abnormal for the whole study duration. Global thigh water T2 at baseline was significantly correlated to the change in FF after 3 years (ρ = 0.52, P < 0.001). There was also a significant relationship between the change in functional score and change in FF after 3 years in ambulant patients (ρ = -0.55, P = 0.010). CONCLUSIONS This multi-centre study has shown that quantitative MRI/31 P MRS measurements in a heterogeneous group of dysferlinopathy patients can measure significant changes over the course of 3 years. These data can be used as reference values in view of future clinical trials in dysferlinopathy or comparisons with quantitative MRI/S data obtained in other limb-girdle muscular dystrophy subtypes.
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Affiliation(s)
- Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Fiona E Smith
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Ericky Caldas de Almeida Araújo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Ian Wilson
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Roberto Fernández-Torrón
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.,Neuromuscular Area, Biodonostia Health Research Institute, Neurology Service, Donostia University Hospital, Donostia-San Sebastian, Spain
| | - Meredith K James
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Ursula R Moore
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Jordi Díaz-Manera
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.,Neuromuscular Disorders Unit, Neurology Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain
| | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Noura Azzabou
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Heather Gordish
- Center for Translational Science, Division of Biostatistics and Study Methodology, Children's National Health System, Washington, DC, USA.,Pediatrics, Epidemiology and Biostatistics, George Washington University, Washington, DC, USA
| | | | - Tim Hodgson
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Dorothy Wallace
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Louise Ward
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Jean-Marc Boisserie
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Julien Le Louër
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Heather Hilsden
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Helen Sutherland
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Aurélie Canal
- Neuromuscular Physiology and Evaluation Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Jean-Yves Hogrel
- Neuromuscular Physiology and Evaluation Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Marni Jacobs
- Center for Translational Science, Division of Biostatistics and Study Methodology, Children's National Health System, Washington, DC, USA.,Pediatrics, Epidemiology and Biostatistics, George Washington University, Washington, DC, USA
| | - Tanya Stojkovic
- Neuromuscular Reference Center, Institute of Myology, Pitié-Salpêtrière Hospital (AP-HP), Paris, France
| | - Kate Bushby
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Anna Mayhew
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | | | - Volker Straub
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | | | - Andrew M Blamire
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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5
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Comi GP, Niks EH, Cinnante CM, Kan HE, Vandenborne K, Willcocks RJ, Velardo D, Ripolone M, van Benthem JJ, van de Velde NM, Nava S, Ambrosoli L, Cazzaniga S, Bettica PU. Characterization of patients with Becker muscular dystrophy by histology, magnetic resonance imaging, function, and strength assessments. Muscle Nerve 2021; 65:326-333. [PMID: 34918368 PMCID: PMC9302983 DOI: 10.1002/mus.27475] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 12/07/2021] [Accepted: 12/11/2021] [Indexed: 12/21/2022]
Abstract
Introduction/Aims Becker muscular dystrophy (BMD) is characterized by variable disease severity and progression, prompting the identification of biomarkers for clinical trials. We used data from an ongoing phase II study to provide a comprehensive characterization of a cohort of patients with BMD, and to assess correlations between histological and magnetic resonance imaging (MRI) markers with muscle function and strength. Methods Eligible patients were ambulatory males with BMD, aged 18 to 65 years (200 to 450 meters on 6‐minute walk test). The following data were obtained: function test results, strength, fat‐fraction quantification using chemical shift‐encoded MRI (whole thigh and quadriceps), and fibrosis and muscle fiber area (MFA) of the brachial biceps. Results Of 70 patients screened, 51 entered the study. There was substantial heterogeneity between patients in muscle morphology (histology and MRI), with high fat replacement. Total fibrosis correlated significantly and mostly moderately with all functional endpoints, including both upper arm strength assessments (left and right elbow flexion rho −.574 and −.588, respectively [both P < .0001]), as did MRI fat fraction (whole thigh and quadriceps), for example, with four‐stair‐climb velocity −.554 and −.550, respectively (both P < .0001). Total fibrosis correlated significantly and moderately with both MRI fat fraction assessments (.500 [P = .0003] and .423 [.0024], respectively). Discussion In this BMD cohort, micro‐ and macroscopic morphological muscle parameters correlated moderately with each other and with functional parameters, potentially supporting the use of MRI fat fraction and histology as surrogate outcome measures in patients with BMD, although additional research is required to validate this.
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Affiliation(s)
- Giacomo P Comi
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.,Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Erik H Niks
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Duchenne Center Netherlands, The Netherlands
| | - Claudia M Cinnante
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Hermien E Kan
- Duchenne Center Netherlands, The Netherlands.,C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Krista Vandenborne
- ImagingDMD and Department of Physical Therapy, University of Florida, Gainesville, Florida, USA
| | - Rebecca J Willcocks
- ImagingDMD and Department of Physical Therapy, University of Florida, Gainesville, Florida, USA
| | - Daniele Velardo
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.,Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Michela Ripolone
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Jules J van Benthem
- Department of Orthopedics, Rehabilitation and Physiotherapy, Leiden University Medical Center, Leiden, The Netherlands
| | - Nienke M van de Velde
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Duchenne Center Netherlands, The Netherlands
| | - Simone Nava
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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6
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Forbes SC, Arora H, Willcocks RJ, Triplett WT, Rooney WD, Barnard AM, Alabasi U, Wang DJ, Lott DJ, Senesac CR, Harrington AT, Finanger EL, Tennekoon GI, Brandsema J, Daniels MJ, Sweeney HL, Walter GA, Vandenborne K. Upper and Lower Extremities in Duchenne Muscular Dystrophy Evaluated with Quantitative MRI and Proton MR Spectroscopy in a Multicenter Cohort. Radiology 2020; 295:616-625. [PMID: 32286193 PMCID: PMC7263287 DOI: 10.1148/radiol.2020192210] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 02/05/2020] [Accepted: 02/13/2020] [Indexed: 12/18/2022]
Abstract
Background Upper extremity MRI and proton MR spectroscopy are increasingly considered to be outcome measures in Duchenne muscular dystrophy (DMD) clinical trials. Purpose To demonstrate the feasibility of acquiring upper extremity MRI and proton (1H) MR spectroscopy measures of T2 and fat fraction in a large, multicenter cohort (ImagingDMD) of ambulatory and nonambulatory individuals with DMD; compare upper and lower extremity muscles by using MRI and 1H MR spectroscopy; and correlate upper extremity MRI and 1H MR spectroscopy measures to function. Materials and Methods In this prospective cross-sectional study, MRI and 1H MR spectroscopy and functional assessment data were acquired from participants with DMD and unaffected control participants at three centers (from January 28, 2016, to April 24, 2018). T2 maps of the shoulder, upper arm, forearm, thigh, and calf were generated from a spin-echo sequence (repetition time msec/echo time msec, 3000/20-320). Fat fraction maps were generated from chemical shift-encoded imaging (eight echo times). Fat fraction and 1H2O T2 in the deltoid and biceps brachii were measured from single-voxel 1H MR spectroscopy (9000/11-243). Groups were compared by using Mann-Whitney test, and relationships between MRI and 1H MR spectroscopy and arm function were assessed by using Spearman correlation. Results This study evaluated 119 male participants with DMD (mean age, 12 years ± 3 [standard deviation]) and 38 unaffected male control participants (mean age, 12 years ± 3). Deltoid and biceps brachii muscles were different in participants with DMD versus control participants in all age groups by using quantitative T2 MRI (P < .001) and 1H MR spectroscopy fat fraction (P < .05). The deltoid, biceps brachii, and triceps brachii were affected to the same extent (P > .05) as the soleus and medial gastrocnemius. Negative correlations were observed between arm function and MRI (T2: range among muscles, ρ = -0.53 to -0.73 [P < .01]; fat fraction, ρ = -0.49 to -0.70 [P < .01]) and 1H MR spectroscopy fat fraction (ρ = -0.64 to -0.71; P < .01). Conclusion This multicenter study demonstrated early and progressive involvement of upper extremity muscles in Duchenne muscular dystrophy (DMD) and showed the feasibility of MRI and 1H MR spectroscopy to track disease progression over a wide range of ages in participants with DMD. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Sean C. Forbes
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Harneet Arora
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Rebecca J. Willcocks
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - William T. Triplett
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - William D. Rooney
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Alison M. Barnard
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Umar Alabasi
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Dah-Jyuu Wang
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Donovan J. Lott
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Claudia R. Senesac
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Ann T. Harrington
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Erika L. Finanger
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Gihan I. Tennekoon
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - John Brandsema
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Michael J. Daniels
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - H. Lee Sweeney
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Glenn A. Walter
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Krista Vandenborne
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
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7
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Sollmann N, Zoffl A, Franz D, Syväri J, Dieckmeyer M, Burian E, Klupp E, Hedderich DM, Holzapfel C, Drabsch T, Kirschke JS, Rummeny EJ, Zimmer C, Hauner H, Karampinos DC, Baum T. Regional variation in paraspinal muscle composition using chemical shift encoding-based water-fat MRI. Quant Imaging Med Surg 2020; 10:496-507. [PMID: 32190574 DOI: 10.21037/qims.2020.01.10] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Paraspinal musculature forms one of the largest muscle compartments of the human body, but evidence for regional variation of its composition and dependency on gender or body mass index (BMI) is scarce. Methods This study applied six-echo chemical shift encoding-based water-fat magnetic resonance imaging (MRI) at 3 Tesla in 76 subjects (24 males and 52 females, age: 40.0±13.7 years, BMI: 25.4±5.6 kg/m2) to evaluate the proton density fat fraction (PDFF) of psoas muscles and erector spinae muscles, with the latter being divided into three segments in relation to levels of spine anatomy (L3-L5, T12-L2, and T9-T11). Results For the psoas muscles and the erector spinae muscles (L3-L5), gender differences in PDFF values were observed (PDFF psoas muscles: males: 5.1%±3.4% vs. females: 6.0%±2.2%, P=0.006; PDFF erector spinae muscles L3-L5: males: 10.7%±7.6% vs. females: 18.2%±6.8%, P<0.001). Furthermore, the PDFF of the erector spinae muscles (L3-L5) showed higher PDFF values when compared to the other segments (PDFF erector spinae muscles L3-L5 vs. T12-L2: P<0.001; PDFF erector spinae muscles L3-L5 vs. T9-T11: P<0.001) and showed to be independent of BMI, which was not the case for the other segments (T12-L2 or T9-T11) or the psoas muscles. When considering age and BMI as control variables, correlations of PDFF between segments of the erector spinae muscles remained significant for both genders. Conclusions This study explored regional variation of paraspinal muscle composition and dependency on gender and BMI, thus offering new insights into muscle physiology. The PDFF of the erector spinae muscles (L3-L5) was independent of BMI, suggesting that this level may be suited for representative paraspinal muscle segmentation and PDFF extraction as a biomarker for muscle alterations in the future.
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Affiliation(s)
- Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Agnes Zoffl
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Daniela Franz
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Jan Syväri
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Michael Dieckmeyer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Egon Burian
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Elisabeth Klupp
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Dennis M Hedderich
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Christina Holzapfel
- Institute for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Theresa Drabsch
- Institute for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Hans Hauner
- Institute for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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8
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Hooijmans MT, Monte JRC, Froeling M, van den Berg-Faay S, Aengevaeren VL, Hemke R, Smithuis FF, Eijsvogels TMH, Bakermans AJ, Maas M, Nederveen AJ, Strijkers GJ. Quantitative MRI Reveals Microstructural Changes in the Upper Leg Muscles After Running a Marathon. J Magn Reson Imaging 2020; 52:407-417. [PMID: 32144857 PMCID: PMC7496541 DOI: 10.1002/jmri.27106] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 02/13/2020] [Accepted: 02/13/2020] [Indexed: 12/11/2022] Open
Abstract
Background The majority of sports‐related injuries involve skeletal muscle. Unlike acute trauma, which is often caused by a single traumatic event leading to acute symptoms, exercise‐induced microtrauma may remain subclinical and difficult to detect. Therefore, novel methods to detect and localize subclinical exercise‐induced muscle microtrauma are desirable. Purpose To assess acute and delayed microstructural changes in upper leg muscles with multiparametric quantitative MRI after running a marathon. Study Type Longitudinal; 1‐week prior, 24–48 hours postmarathon and 2‐week follow‐up Population Eleven men participants (age: 47–68 years). Field Strength/Sequence Spin‐echo echo planar imaging (SE‐EPI) with diffusion weighting, multispin echo, Dixon, and fat‐suppressed turbo spin‐echo (TSE) sequences at 3T. MR datasets and creatine kinase (CK) concentrations were obtained at three timepoints. Assessment Diffusion parameters, perfusion fractions, and quantitative (q)T2 values were determined for hamstring and quadriceps muscles, TSE images were scored for acute injury. The vastus medialis and biceps femoris long head muscles were divided and analyzed in five segments to assess local damage. Statistical Tests Differences between timepoints in MR parameters were assessed with a multilevel linear mixed model and in CK concentrations with a Friedman test. Mean diffusivity (MD) and qT2 for whole muscle and muscle segments were compared using a multivariate analysis of covariance (MANCOVA). Results CK concentrations were elevated (1194 U/L [166–3906], P < 0.001) at 24–48 hours postmarathon and returned to premarathon values (323 U/L [56–2216]) at 2‐week follow‐up. Most of the MRI diffusion indices in muscles without acute injury changed at 24–48 hours postmarathon and returned to premarathon values at follow‐up (MD, RD, and λ3; P < 0.006). qT2 values (P = 0.003) and perfusion fractions (P = 0.003) were higher at baseline compared to follow‐up. Local assessments of MD and qT2 revealed more pronounced changes than whole muscle assessment (2–3‐fold; P < 0.01). Data Conclusion Marathon running‐induced microtrauma was detected with MRI in individual whole upper leg muscles and even more pronounced on local segments. Level of Evidence 2 Technical Efficacy Stage 3 J. Magn. Reson. Imaging 2020;52:407–417.
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Affiliation(s)
- Melissa T Hooijmans
- Amsterdam University Medical Centers, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Jithsa R C Monte
- Amsterdam University Medical Centers, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Martijn Froeling
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Sandra van den Berg-Faay
- Amsterdam University Medical Centers, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Vincent L Aengevaeren
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, Nijmegen, Netherlands.,Radboud Institute for Health Sciences, Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Robert Hemke
- Amsterdam University Medical Centers, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Frank F Smithuis
- Amsterdam University Medical Centers, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Thijs M H Eijsvogels
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Adrianus J Bakermans
- Amsterdam University Medical Centers, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Mario Maas
- Amsterdam University Medical Centers, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Aart J Nederveen
- Amsterdam University Medical Centers, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam, Netherlands
| | - Gustav J Strijkers
- Amsterdam University Medical Centers, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam Movement Sciences, Amsterdam, Netherlands
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9
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Strijkers GJ, Araujo EC, Azzabou N, Bendahan D, Blamire A, Burakiewicz J, Carlier PG, Damon B, Deligianni X, Froeling M, Heerschap A, Hollingsworth KG, Hooijmans MT, Karampinos DC, Loudos G, Madelin G, Marty B, Nagel AM, Nederveen AJ, Nelissen JL, Santini F, Scheidegger O, Schick F, Sinclair C, Sinkus R, de Sousa PL, Straub V, Walter G, Kan HE. Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI. J Neuromuscul Dis 2020; 6:1-30. [PMID: 30714967 PMCID: PMC6398566 DOI: 10.3233/jnd-180333] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Neuromuscular diseases are characterized by progressive muscle degeneration and muscle weakness resulting in functional disabilities. While each of these diseases is individually rare, they are common as a group, and a large majority lacks effective treatment with fully market approved drugs. Magnetic resonance imaging and spectroscopy techniques (MRI and MRS) are showing increasing promise as an outcome measure in clinical trials for these diseases. In 2013, the European Union funded the COST (co-operation in science and technology) action BM1304 called MYO-MRI (www.myo-mri.eu), with the overall aim to advance novel MRI and MRS techniques for both diagnosis and quantitative monitoring of neuromuscular diseases through sharing of expertise and data, joint development of protocols, opportunities for young researchers and creation of an online atlas of muscle MRI and MRS. In this report, the topics that were discussed in the framework of working group 3, which had the objective to: Explore new contrasts, new targets and new imaging techniques for NMD are described. The report is written by the scientists who attended the meetings and presented their data. An overview is given on the different contrasts that MRI can generate and their application, clinical needs and desired readouts, and emerging methods.
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Affiliation(s)
| | - Ericky C.A. Araujo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Noura Azzabou
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | | | - Andrew Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | - Jedrek Burakiewicz
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Pierre G. Carlier
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Bruce Damon
- Vanderbilt University Medical Center, Nashville, USA
| | - Xeni Deligianni
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | | | - Arend Heerschap
- Radboud University Medical Center, Nijmegen, the Netherlands
| | | | | | | | | | | | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Armin M. Nagel
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany & Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Francesco Santini
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Olivier Scheidegger
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Fritz Schick
- University of Tübingen, Section on Experimental Radiology, Tübingen, Germany
| | | | | | | | - Volker Straub
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | | | - Hermien E. Kan
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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10
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Krishnamurthy R, Wang DJJ, Cervantes B, McAllister A, Nelson E, Karampinos DC, Hu HH. Recent Advances in Pediatric Brain, Spine, and Neuromuscular Magnetic Resonance Imaging Techniques. Pediatr Neurol 2019; 96:7-23. [PMID: 31023603 DOI: 10.1016/j.pediatrneurol.2019.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 02/25/2019] [Accepted: 03/03/2019] [Indexed: 12/21/2022]
Abstract
Magnetic resonance imaging (MRI) is a powerful radiologic tool with the ability to generate a variety of proton-based signal contrast from tissues. Owing to this immense flexibility in signal generation, new MRI techniques are constantly being developed, tested, and optimized for clinical utility. In addition, the safe and nonionizing nature of MRI makes it a suitable modality for imaging in children. In this review article, we summarize a few of the most popular advances in MRI techniques in recent years. In particular, we highlight how these new developments have affected brain, spine, and neuromuscular imaging and focus on their applications in pediatric patients. In the first part of the review, we discuss new approaches such as multiphase and multidelay arterial spin labeling for quantitative perfusion and angiography of the brain, amide proton transfer MRI of the brain, MRI of brachial plexus and lumbar plexus nerves (i.e., neurography), and T2 mapping and fat characterization in neuromuscular diseases. In the second part of the review, we focus on describing new data acquisition strategies in accelerated MRI aimed collectively at reducing the scan time, including simultaneous multislice imaging, compressed sensing, synthetic MRI, and magnetic resonance fingerprinting. In discussing the aforementioned, the review also summarizes the advantages and disadvantages of each method and their current state of commercial availability from MRI vendors.
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Affiliation(s)
| | - Danny J J Wang
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Barbara Cervantes
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
| | | | - Eric Nelson
- Center for Biobehavioral Health, Nationwide Children's Hospital, Columbus, Ohio
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
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11
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Neal MA, Pippard BJ, Hollingsworth KG, Maunder A, Dutta P, Simpson AJ, Blamire AM, Wild JM, Thelwall PE. Optimized and accelerated 19 F-MRI of inhaled perfluoropropane to assess regional pulmonary ventilation. Magn Reson Med 2019; 82:1301-1311. [PMID: 31099437 PMCID: PMC6767591 DOI: 10.1002/mrm.27805] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 03/12/2019] [Accepted: 04/15/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE To accelerate 19 F-MR imaging of inhaled perfluoropropane using compressed sensing methods, and to optimize critical scan acquisition parameters for assessment of lung ventilation properties. METHODS Simulations were performed to determine optimal acquisition parameters for maximal perfluoropropane signal-to-noise ratio (SNR) in human lungs for a spoiled gradient echo sequence. Optimized parameters were subsequently employed for 19 F-MRI of inhaled perfluoropropane in a cohort of 11 healthy participants using a 3.0 T scanner. The impact of 1.8×, 2.4×, and 3.0× undersampling ratios on 19 F-MRI acquisitions was evaluated, using both retrospective and prospective compressed sensing methods. RESULTS 3D spoiled gradient echo 19 F-MR ventilation images were acquired at 1-cm isotropic resolution within a single breath hold. Mean SNR was 11.7 ± 4.1 for scans acquired within a single breath hold (duration = 18 s). Acquisition of 19 F-MRI scans at shorter scan durations (4.5 s) was also demonstrated as feasible. Application of both retrospective (n = 8) and prospective (n = 3) compressed sensing methods demonstrated that 1.8× acceleration had negligible impact on qualitative image appearance, with no statistically significant change in measured lung ventilated volume. Acceleration factors of 2.4× and 3.0× resulted in increasing differences between fully sampled and undersampled datasets. CONCLUSION This study demonstrates methods for determining optimal acquisition parameters for 19 F-MRI of inhaled perfluoropropane and shows significant reduction in scan acquisition times (and thus participant breath hold duration) by use of compressed sensing.
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Affiliation(s)
- Mary A Neal
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Benjamin J Pippard
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Kieren G Hollingsworth
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Adam Maunder
- POLARIS, Academic Unit of Radiology, University of Sheffield, Royal Hallamshire Hospital, Sheffield, United Kingdom
| | - Prosenjit Dutta
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - A John Simpson
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.,Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Andrew M Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - James M Wild
- POLARIS, Academic Unit of Radiology, University of Sheffield, Royal Hallamshire Hospital, Sheffield, United Kingdom
| | - Peter E Thelwall
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, United Kingdom
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12
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Bray TJ, Karsa A, Bainbridge A, Sakai N, Punwani S, Hall‐Craggs MA, Shmueli K. Association of bone mineral density and fat fraction with magnetic susceptibility in inflamed trabecular bone. Magn Reson Med 2019; 81:3094-3107. [PMID: 30615213 PMCID: PMC6492090 DOI: 10.1002/mrm.27634] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE To evaluate the relationship between bone mineral density (BMD) and magnetic susceptibility, and between proton density fat fraction and susceptibility, in inflamed trabecular bone. METHODS Two different phantoms modeling the fat fraction (FF) and BMD values of healthy bone marrow and disease states were scanned using a multiecho gradient echo acquisition at 3T. After correction for fat-water chemical shift, susceptibility mapping was performed, and susceptibility measurements were compared with BMD and FF values using linear regression. Patients with spondyloarthritis were scanned using the same protocol, and susceptibility values were calculated in areas of inflamed bone (edema) and fat metaplasia, both before and after accounting for the contribution of fat to the total susceptibility. RESULTS Susceptibility values in the phantoms were accurately described by a 2D linear function, with a negative correlation between BMD and susceptibility and a positive correlation between FF and susceptibility (adjusted R2 = 0.77; P = 3·10-5 ). In patients, significant differences in susceptibility were observed between fat metaplasia and normal marrow, but these differences were eliminated by removing the fat contribution to the total susceptibility. CONCLUSIONS BMD and proton density fat fraction both influence the total susceptibility of bone marrow and failure to account for the fat contribution could lead to errors in BMD quantification. We propose a method for removing the fat contribution from the total susceptibility, based on the observed linear relationship between susceptibility and FF. In inflamed bone, the overall increase in susceptibility in areas of fat metaplasia is at least partly due to increased fat content.
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Affiliation(s)
- Timothy J.P. Bray
- Centre for Medical ImagingUniversity College LondonUnited Kingdom
- Arthritis Research UK Centre for Adolescent RheumatologyUniversity College LondonUnited Kingdom
| | - Anita Karsa
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonUnited Kingdom
| | - Alan Bainbridge
- Department of Medical PhysicsUniversity College London HospitalsUnited Kingdom
| | - Naomi Sakai
- Centre for Medical ImagingUniversity College LondonUnited Kingdom
| | - Shonit Punwani
- Centre for Medical ImagingUniversity College LondonUnited Kingdom
| | | | - Karin Shmueli
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonUnited Kingdom
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13
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Sjöholm T, Ekström S, Strand R, Ahlström H, Lind L, Malmberg F, Kullberg J. A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis. Sci Rep 2019; 9:6158. [PMID: 30992502 PMCID: PMC6467986 DOI: 10.1038/s41598-019-42613-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 04/04/2019] [Indexed: 01/12/2023] Open
Abstract
Quantitative multiparametric imaging is a potential key application for Positron Emission Tomography/Magnetic Resonance (PET/MR) hybrid imaging. To enable objective and automatic voxel-based multiparametric analysis in whole-body applications, the purpose of this study was to develop a multimodality whole-body atlas of functional 18F-fluorodeoxyglucose (FDG) PET and anatomical fat-water MR data of adults. Image registration was used to transform PET/MR images of healthy control subjects into male and female reference spaces, producing a fat-water MR, local tissue volume and FDG PET whole-body normal atlas consisting of 12 male (66.6 ± 6.3 years) and 15 female (69.5 ± 3.6 years) subjects. Manual segmentations of tissues and organs in the male and female reference spaces confirmed that the atlas contained adequate physiological and anatomical values. The atlas was applied in two anomaly detection tasks as proof of concept. The first task automatically detected anomalies in two subjects with suspected malignant disease using FDG data. The second task successfully detected abnormal liver fat infiltration in one subject using fat fraction data.
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Affiliation(s)
- Therese Sjöholm
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
| | - Simon Ekström
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Robin Strand
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Håkan Ahlström
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, Mölndal, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Filip Malmberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Joel Kullberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, Mölndal, Sweden
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14
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Gadermayr M, Li K, Müller M, Truhn D, Krämer N, Merhof D, Gess B. Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks. J Magn Reson Imaging 2019; 49:1676-1683. [PMID: 30623506 DOI: 10.1002/jmri.26544] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 10/01/2018] [Accepted: 10/02/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Fat-fraction has been established as a relevant marker for the assessment and diagnosis of neuromuscular diseases. For computing this metric, segmentation of muscle tissue in MR images is a first crucial step. PURPOSE To tackle the high degree of variability in combination with the high annotation effort for training supervised segmentation models (such as fully convolutional neural networks). STUDY TYPE Prospective. SUBJECTS In all, 41 patients consisting of 20 patients showing fatty infiltration and 21 healthy subjects. Field Strength/Sequence: The T1 -weighted MR-pulse sequences were acquired on a 1.5T scanner. ASSESSMENT To increase performance with limited training data, we propose a domain-specific technique for simulating fatty infiltrations (i.e., texture augmentation) in nonaffected subjects' MR images in combination with shape augmentation. For simulating the fatty infiltrations, we make use of an architecture comprising several competing networks (generative adversarial networks) that facilitate a realistic artificial conversion between healthy and infiltrated MR images. Finally, we assess the segmentation accuracy (Dice similarity coefficient). STATISTICAL TESTS A Wilcoxon signed rank test was performed to assess whether differences in segmentation accuracy are significant. RESULTS The mean Dice similarity coefficients significantly increase from 0.84-0.88 (P < 0.01) using data augmentation if training is performed with mixed data and from 0.59-0.87 (P < 0.001) if training is conducted with healthy subjects only. DATA CONCLUSION Domain-specific data adaptation is highly suitable for facilitating neural network-based segmentation of thighs with feasible manual effort for creating training data. The results even suggest an approach completely bypassing manual annotations. LEVEL OF EVIDENCE 4 Technical Efficacy: Stage 3.
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Affiliation(s)
- Michael Gadermayr
- Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany.,Salzburg University of Applied Sciences, Salzburg, Austria
| | - Kexin Li
- Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany
| | - Madlaine Müller
- Department of Neurology, RWTH University Hospital Aachen, Aachen, Germany
| | - Daniel Truhn
- Department of Radiology, RWTH University Hospital Aachen, Aachen, Germany
| | - Nils Krämer
- Department of Radiology, RWTH University Hospital Aachen, Aachen, Germany
| | - Dorit Merhof
- Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany
| | - Burkhard Gess
- Department of Neurology, RWTH University Hospital Aachen, Aachen, Germany
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15
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Jungbluth H. Myopathology in times of modern imaging. Neuropathol Appl Neurobiol 2018; 43:24-43. [PMID: 28111795 DOI: 10.1111/nan.12385] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Revised: 01/17/2017] [Accepted: 01/23/2017] [Indexed: 12/14/2022]
Abstract
Over the last two decades, muscle (magnetic resonance) imaging has become an important complementary tool in the diagnosis and differential diagnosis of inherited neuromuscular disorders, particularly in conditions where the pattern of selective muscle involvement is often more predictive of the underlying genetic background than associated clinical and histopathological features. Following an overview of different imaging modalities, the present review will give a concise introduction to systematic image analysis and interpretation in genetic neuromuscular disorders. The pattern of selective muscle involvement will be presented in detail in conditions such as the congenital or myofibrillar myopathies where muscle imaging is particularly useful to inform the (differential) diagnosis, and in disorders such as Duchenne or fascioscapulohumeral muscular dystrophy where the diagnosis is usually made on clinical grounds but where detailed knowledge of disease progression on the muscle imaging level may inform better understanding of the natural history. Utilizing the group of the congenital myopathies as an example, selected case studies will illustrate how muscle MRI can be used to inform the diagnostic process in the clinico-pathological context. Future developments, in particular, concerning the increasing use of whole-body MRI protocols and novel quantitative fat assessments techniques potentially relevant as an outcome measure, will be briefly outlined.
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Affiliation(s)
- H Jungbluth
- Department of Paediatric Neurology, Neuromuscular Service, Evelina's Children Hospital, Guy's & St. Thomas' Hospital NHS Foundation Trust, London, UK.,Randall Division of Cell and Molecular Biophysics, Muscle Signalling Section, London, UK.,Department of Clinical and Basic Neuroscience, IoPPN, King's College, London, UK
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16
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Suo S, Zhang L, Tang H, Ni Q, Li S, Mao H, Liu X, He S, Qu J, Lu Q, Xu J. Evaluation of skeletal muscle microvascular perfusion of lower extremities by cardiovascular magnetic resonance arterial spin labeling, blood oxygenation level-dependent, and intravoxel incoherent motion techniques. J Cardiovasc Magn Reson 2018; 20:18. [PMID: 29551091 PMCID: PMC5858129 DOI: 10.1186/s12968-018-0441-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 03/02/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Noninvasive cardiovascular magnetic resonance (CMR) techniques including arterial spin labeling (ASL), blood oxygenation level-dependent (BOLD), and intravoxel incoherent motion (IVIM), are capable of measuring tissue perfusion-related parameters. We sought to evaluate and compare these three CMR techniques in characterizing skeletal muscle perfusion in lower extremities and to investigate their abilities to diagnose and assess the severity of peripheral arterial disease (PAD). METHODS Fifteen healthy young subjects, 14 patients with PAD, and 10 age-matched healthy old subjects underwent ASL, BOLD, and IVIM CMR perfusion imaging. Healthy young and healthy old participants were subjected to a cuff-induced ischemia experiment with pressures of 20 mmHg and 40 mmHg above systolic pressure during imaging. Perfusion-related metrics, including blood flow, T2* relaxation time, perfusion fraction f, diffusion coefficient D, and pseudodiffusion coefficient D*, were measured in the anterior, lateral, soleus, and gastrocnemius muscle groups. Friedman, Mann-Whitney, Wilcoxon signed rank, and Spearman rank correlation tests were used for statistical analysis. RESULTS In cases of significant differences determined by the Friedman test (P < 0.05), blood flow, T2*, and D values gradually decreased, while f values showed a tendency to increase in healthy subjects under cuff compression. No significant correlations were found among the ASL, BOLD, and IVIM parameters (all P > 0.05). Blood flow and T2* values showed significant positive correlations with transcutaneous oxygen pressure measurements (ρ = 0.465 and 0.522, respectively; both P ≤ 0.001), while f values showed a significant negative correlation in healthy young subjects (ρ = - 0.351; P = 0.018). T2* was independent of age in every muscle group. T2* values were significantly decreased in PAD patients compared with healthy old subjects and severe PAD patients compared with mild-to-moderate PAD patients (all P < 0.0125). Significant correlations were found between T2* and ankle-brachial index values in all muscle groups in PAD patients (ρ = 0.644-0.837; all P < 0.0125). Other imaging parameters failed to show benefits towards the diagnosis and disease severity evaluation of PAD. CONCLUSIONS ASL, BOLD, and IVIM provide complementary information regarding tissue perfusion. Compared with ASL and IVIM, BOLD may be a more reliable technique for assessing PAD in the resting state and could thus be applied together with angiography in clinical studies as a tool to comprehensively assess microvascular and macrovascular properties in PAD patients.
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Affiliation(s)
- Shiteng Suo
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
| | - Lan Zhang
- Department of Vascular Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Tang
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
| | - Qihong Ni
- Department of Vascular Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Suqin Li
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
| | - Haimin Mao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
| | - Xiangyu Liu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
| | - Shengyun He
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
| | | | - Qing Lu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
| | - Jianrong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd, Shanghai, 200127 China
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17
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Carlier PG, Marty B, Scheidegger O, Loureiro de Sousa P, Baudin PY, Snezhko E, Vlodavets D. Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials. J Neuromuscul Dis 2018; 3:1-28. [PMID: 27854210 PMCID: PMC5271435 DOI: 10.3233/jnd-160145] [Citation(s) in RCA: 132] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Recent years have seen tremendous progress towards therapy of many previously incurable neuromuscular diseases. This new context has acted as a driving force for the development of novel non-invasive outcome measures. These can be organized in three main categories: functional tools, fluid biomarkers and imagery. In the latest category, nuclear magnetic resonance imaging (NMRI) offers a considerable range of possibilities for the characterization of skeletal muscle composition, function and metabolism. Nowadays, three NMR outcome measures are frequently integrated in clinical research protocols. They are: 1/ the muscle cross sectional area or volume, 2/ the percentage of intramuscular fat and 3/ the muscle water T2, which quantity muscle trophicity, chronic fatty degenerative changes and oedema (or more broadly, “disease activity”), respectively. A fourth biomarker, the contractile tissue volume is easily derived from the first two ones. The fat fraction maps most often acquired with Dixon sequences have proven their capability to detect small changes in muscle composition and have repeatedly shown superior sensitivity over standard functional evaluation. This outcome measure will more than likely be the first of the series to be validated as an endpoint by regulatory agencies. The versatility of contrast generated by NMR has opened many additional possibilities for characterization of the skeletal muscle and will result in the proposal of more NMR biomarkers. Ultra-short TE (UTE) sequences, late gadolinium enhancement and NMR elastography are being investigated as candidates to evaluate skeletal muscle interstitial fibrosis. Many options exist to measure muscle perfusion and oxygenation by NMR. Diffusion NMR as well as texture analysis algorithms could generate complementary information on muscle organization at microscopic and mesoscopic scales, respectively. 31P NMR spectroscopy is the reference technique to assess muscle energetics non-invasively during and after exercise. In dystrophic muscle, 31P NMR spectrum at rest is profoundly perturbed, and several resonances inform on cell membrane integrity. Considerable efforts are being directed towards acceleration of image acquisitions using a variety of approaches, from the extraction of fat content and water T2 maps from one single acquisition to partial matrices acquisition schemes. Spectacular decreases in examination time are expected in the near future. They will reinforce the attractiveness of NMR outcome measures and will further facilitate their integration in clinical research trials.
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Affiliation(s)
- Pierre G Carlier
- Institute of Myology, Pitie-Salpetriere University Hospital, Paris, France.,CEA, DSV, I2BM, MIRCen, NMR Laboratory, Paris, France.,National Academy of Sciences, United Institute for Informatics Problems, Minsk, Belarus
| | - Benjamin Marty
- Institute of Myology, Pitie-Salpetriere University Hospital, Paris, France.,CEA, DSV, I2BM, MIRCen, NMR Laboratory, Paris, France
| | - Olivier Scheidegger
- Institute of Myology, Pitie-Salpetriere University Hospital, Paris, France.,Support Center for Advanced Neuroimaging (SCAN), Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland
| | | | | | - Eduard Snezhko
- National Academy of Sciences, United Institute for Informatics Problems, Minsk, Belarus
| | - Dmitry Vlodavets
- N.I. Prirogov Russian National Medical Research University, Clinical Research Institute of Pediatrics, Moscow, Russian Federation
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18
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Burakiewicz J, Sinclair CDJ, Fischer D, Walter GA, Kan HE, Hollingsworth KG. Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy. J Neurol 2017; 264:2053-2067. [PMID: 28669118 PMCID: PMC5617883 DOI: 10.1007/s00415-017-8547-3] [Citation(s) in RCA: 137] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 06/12/2017] [Accepted: 06/13/2017] [Indexed: 12/15/2022]
Abstract
The muscular dystrophies are rare orphan diseases, characterized by progressive muscle weakness: the most common and well known is Duchenne muscular dystrophy which affects young boys and progresses quickly during childhood. However, over 70 distinct variants have been identified to date, with different rates of progression, implications for morbidity, mortality, and quality of life. There are presently no curative therapies for these diseases, but a range of potential therapies are presently reaching the stage of multi-centre, multi-national first-in-man clinical trials. There is a need for sensitive, objective end-points to assess the efficacy of the proposed therapies. Present clinical measurements are often too dependent on patient effort or motivation, and lack sensitivity to small changes, or are invasive. Quantitative MRI to measure the fat replacement of skeletal muscle by either chemical shift imaging methods (Dixon or IDEAL) or spectroscopy has been demonstrated to provide such a sensitive, objective end-point in a number of studies. This review considers the importance of the outcome measures, discusses the considerations required to make robust measurements and appropriate quality assurance measures, and draws together the existing literature for cross-sectional and longitudinal cohort studies using these methods in muscular dystrophy.
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Affiliation(s)
- Jedrzej Burakiewicz
- Department of Radiology, C. J. Gorter Center for High Field MRI, Leiden University Medical Centre, Leiden, The Netherlands
| | - Christopher D J Sinclair
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK.,Neuroradiological Academic Unit, UCL Institute of Neurology, London, UK
| | - Dirk Fischer
- Division of Neuropaediatrics, University of Basel Children's Hospital, Spitalstrasse 33, Postfach, Basel, 4031, Switzerland.,Department of Neurology, University of Basel Hospital, Petersgraben 4, Basel, 4031, Switzerland
| | - Glenn A Walter
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, 32610, USA
| | - Hermien E Kan
- Department of Radiology, C. J. Gorter Center for High Field MRI, Leiden University Medical Centre, Leiden, The Netherlands
| | - Kieren G Hollingsworth
- Newcastle Magnetic Resonance Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
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19
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Dadakova T, Krafft AJ, Özen AC, Bock M. Optimization of acoustic radiation force imaging: Influence of timing parameters on sensitivity. Magn Reson Med 2017; 79:981-986. [PMID: 28618069 DOI: 10.1002/mrm.26734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 02/11/2017] [Accepted: 04/03/2017] [Indexed: 11/09/2022]
Abstract
PURPOSE Optimization of timing parameters for MR-guided ARFI to achieve the highest displacement signal-to-noise ratio (SNRd ). THEORY AND METHODS In MR-guided ARFI the phase change induced by motion encoding gradients (MEGs) is measured to assess tissue displacement. The sensitivity of this encoding procedure depends on several timing parameters, such as the MEG duration and the offset time between ultrasound (US) and MEG. Furthermore, mechanical and MR tissue constants and MEG schemes (bipolar or three-lobed) influence SNRd . Optimal timing parameters were determined in simulations for bipolar and three-lobed MEGs, and the results were compared with measurements. To provide clinically usable timing parameters, physiologically relevant ranges of tissue constants were considered. RESULTS For the considered ranges of tissue constants, optimal timing parameters provide only 6% higher SNRd for bipolar than for three-lobed MEG. Three-lobed MEG is less sensitive to motion as confirmed in phantom experiments. Bipolar MEG can use approximately 1.5-fold shorter MEG durations. CONCLUSION Both bipolar and three-lobed MEGs can yield approximately the same SNRd if the optimal timing parameters are chosen. Bipolar MEG allows for shorter durations, which is preferable if deposition of US energy needs to be minimized, and three-lobed MEG is more suitable when residual motion compensation is necessary. Magn Reson Med 79:981-986, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Tetiana Dadakova
- Department of Radiology, Medical Physics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Axel Joachim Krafft
- Department of Radiology, Medical Physics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ali Caglar Özen
- Department of Radiology, Medical Physics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michael Bock
- Department of Radiology, Medical Physics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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20
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Bray TJP, Bainbridge A, Punwani S, Ioannou Y, Hall-Craggs MA. Simultaneous Quantification of Bone Edema/Adiposity and Structure in Inflamed Bone Using Chemical Shift-Encoded MRI in Spondyloarthritis. Magn Reson Med 2017; 79:1031-1042. [PMID: 28589660 PMCID: PMC5811922 DOI: 10.1002/mrm.26729] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 03/08/2017] [Accepted: 03/31/2017] [Indexed: 12/19/2022]
Abstract
Purpose To evaluate proton density fat fraction (PDFF) and R2* as markers of bone marrow composition and structure in inflamed bone in patients with spondyloarthritis. Methods Phantoms containing fat, water, and trabecular bone were constructed with proton density fat fraction (PDFF) and bone mineral density (BMD) values matching those expected in healthy bone marrow and disease states, and scanned using chemical shift‐encoded MRI (CSE‐MRI) at 3T. Measured PDFF and R2* values in phantoms were compared with reference FF and BMD values. Eight spondyloarthritis patients and 10 controls underwent CSE‐MRI of the sacroiliac joints. PDFF and R2* in areas of inflamed bone and fat metaplasia in patients were compared with normal bone marrow in controls. Results In phantoms, PDFF measurements were accurate over the full range of PDFF and BMD values. R2* measurements were positively associated with BMD but also were influenced by variations in PDFF. In patients, PDFF was reduced in areas of inflammation and increased in fat metaplasia compared to normal marrow. R2* measurements were significantly reduced in areas of fat metaplasia. Conclusion PDFF measurements reflect changes in marrow composition in areas of active inflammation and structural damage and could be used for disease monitoring in spondyloarthritis. R2* measurements may provide additional information bone mineral density but also are influenced by fat content. Magn Reson Med 79:1031–1042, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Affiliation(s)
- Timothy J P Bray
- Centre for Medical Imaging, University College London, London, United Kingdom.,Arthritis Research UK Centre for Adolescent Rheumatology, University College London, London, United Kingdom
| | - Alan Bainbridge
- Department of Medical Physics, University College London Hospitals, London, United Kingdom
| | - Shonit Punwani
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Yiannis Ioannou
- Arthritis Research UK Centre for Adolescent Rheumatology, University College London, London, United Kingdom
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21
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Mankodi A, Azzabou N, Bulea T, Reyngoudt H, Shimellis H, Ren Y, Kim E, Fischbeck KH, Carlier PG. Skeletal muscle water T 2 as a biomarker of disease status and exercise effects in patients with Duchenne muscular dystrophy. Neuromuscul Disord 2017; 27:705-714. [PMID: 28601553 DOI: 10.1016/j.nmd.2017.04.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 04/19/2017] [Accepted: 04/19/2017] [Indexed: 12/16/2022]
Abstract
The purpose of this study was to examine exercise effects on muscle water T2 in patients with Duchenne muscular dystrophy (DMD). In 12 DMD subjects and 19 controls, lower leg muscle fat (%) was measured by Dixon and muscle water T2 and R2 (1/T2) by the tri-exponential model. Muscle water R2 was measured again at 3 hours after an ankle dorsiflexion exercise. The muscle fat fraction was higher in DMD participants than in controls (p < .001) except in the tibialis posterior muscle. Muscle water T2 was measured independent of the degree of fatty degeneration in DMD muscle. At baseline, muscle water T2 was higher in all but the extensor digitorum longus muscles of DMD participants than controls (p < .001). DMD participants had a lower muscle torque (p < .001) and exerted less power (p < .01) during exercise than controls. Nevertheless, muscle water R2 decreased (T2 increased) after exercise from baseline in DMD subjects and controls with greater changes in the target muscles of the exercise than in ankle plantarflexor muscles. Skeletal muscle water T2 is a sensitive biomarker of the disease status in DMD and of the exercise response in DMD patients and controls.
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Affiliation(s)
- Ami Mankodi
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| | - Noura Azzabou
- NMR Laboratory, DRF, I2BM, MIRCen, Institute of Myology, Pitie-Salpetriere University Hospital and CEA, Paris, France
| | - Thomas Bulea
- Functional & Applied Biomechanics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Harmen Reyngoudt
- NMR Laboratory, DRF, I2BM, MIRCen, Institute of Myology, Pitie-Salpetriere University Hospital and CEA, Paris, France
| | - Hirity Shimellis
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | | | - Eunhee Kim
- Office of Biostatistics, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kenneth H Fischbeck
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Pierre G Carlier
- NMR Laboratory, DRF, I2BM, MIRCen, Institute of Myology, Pitie-Salpetriere University Hospital and CEA, Paris, France
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22
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Non-uniform muscle fat replacement along the proximodistal axis in Duchenne muscular dystrophy. Neuromuscul Disord 2017; 27:458-464. [PMID: 28302391 DOI: 10.1016/j.nmd.2017.02.009] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 02/14/2017] [Accepted: 02/15/2017] [Indexed: 12/25/2022]
Abstract
The progressive replacement of muscle tissue by fat in Duchenne muscular dystrophy (DMD) has been studied using quantitative MRI between, but not within, individual muscles. We studied fat replacement along the proximodistal muscle axis using the Dixon technique on a 3T MR scanner in 22 DMD patients and 12 healthy controls. Mean fat fractions per muscle per slice for seven lower and upper leg muscles were compared between and within groups assuming a parabolic distribution. Average fat fraction for a small central slice stack and a large coverage slice stack were compared to the value when the stack was shifted one slice (15 mm) up or down. Higher fat fractions were observed in distal and proximal muscle segments compared to the muscle belly in all muscles of the DMD subjects (p <0.001). A shift of 15 mm resulted in a difference in mean fat fraction which was on average 1-2% ranging up to 12% (p <0.01). The muscle end regions are exposed to higher mechanical strain, which points towards mechanical disruption of the sarcolemma as one of the key factors in the pathophysiology. Overall, this non-uniformity in fat replacement needs to be taken into account to prevent sample bias when applying quantitative MRI as biomarker in clinical trials for DMD.
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23
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Hooijmans MT, Niks EH, Burakiewicz J, Verschuuren JJGM, Webb AG, Kan HE. Elevated phosphodiester and T 2 levels can be measured in the absence of fat infiltration in Duchenne muscular dystrophy patients. NMR IN BIOMEDICINE 2017; 30:e3667. [PMID: 27859827 DOI: 10.1002/nbm.3667] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 10/10/2016] [Accepted: 10/10/2016] [Indexed: 05/27/2023]
Abstract
Quantitative MRI and MRS are increasingly important as non-invasive outcome measures in therapy development for Duchenne muscular dystrophy (DMD). Many studies have focussed on individual measures such as fat fraction and metabolite levels in relation to age and functionality, but much less attention has been given to how these indices relate to each other. Here, we assessed spatially resolved metabolic changes in leg muscles of DMD patients, and classified muscles according to the degree of fat replacement compared with healthy controls. Quantitative MRI (three-point Dixon and multi-spin echo without fat suppression and a tri-exponential fit) and 2D-CSI 31 P MRS scans were obtained from 18 DMD patients and 12 healthy controls using a 3 T and a 7 T MR scanner. Metabolite levels, T2 values and fat fraction were individually assessed for five lower leg muscles. In muscles with extensive fat replacement, phosphodiester over adenosine triphosphate (PDE/ATP), inorganic phosphate over phosphocreatine, intracellular tissue pH and T2 were significantly increased compared with healthy controls. In contrast, in muscles without extensive fat replacement, only PDE/ATP and T2 values were significantly elevated. Overall, our results show that PDE levels and T2 values increase prior to the occurrence of fat replacement and remain elevated in later stages of the disease. This suggests that these individual measures could not only function as early markers for muscle damage but also reflect potentially reversible pathology in the more advanced stages.
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Affiliation(s)
- M T Hooijmans
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | - E H Niks
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - J Burakiewicz
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | - J J G M Verschuuren
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Webb
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | - H E Kan
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
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24
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Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review. J Neurol 2016; 264:1320-1333. [PMID: 27888415 DOI: 10.1007/s00415-016-8350-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 11/16/2016] [Accepted: 11/17/2016] [Indexed: 12/25/2022]
Abstract
A growing body of the literature supports the use of magnetic resonance imaging as a potential biomarker for disease severity in the hereditary myopathies. We performed a systematic review of the medical literature to evaluate patterns of fat infiltration observed in magnetic resonance imaging studies of muscular dystrophy and congenital myopathy. Searches were performed using MEDLINE, EMBASE, and grey literature databases. Studies that described fat infiltration of muscles in patients with muscular dystrophy or congenital myopathy were selected for full-length review. Data on preferentially involved or spared muscles were extracted for analysis. A total of 2172 titles and abstracts were screened, and 70 publications met our criteria for inclusion in the systematic review. There were 23 distinct genetic disorders represented in this analysis. In most studies, preferential involvement and sparing of specific muscles were reported. We conclude that magnetic resonance imaging studies can be used to identify distinct patterns of muscle involvement in the hereditary myopathies. However, larger studies and standardized methods of reporting are needed to develop imaging as a diagnostic tool in these diseases.
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25
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Løkken N, Hedermann G, Thomsen C, Vissing J. Contractile properties are disrupted in Becker muscular dystrophy, but not in limb girdle type 2I. Ann Neurol 2016; 80:466-71. [PMID: 27463532 DOI: 10.1002/ana.24743] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 07/14/2016] [Accepted: 07/24/2016] [Indexed: 12/16/2022]
Abstract
We investigated whether a linear relationship between muscle strength and cross-sectional area (CSA) is preserved in calf muscles of patients with Becker muscular dystrophy (BMD, n = 14) and limb-girdle type 2I muscular dystrophy (LGMD2I, n = 11), before and after correcting for muscle fat infiltration. The Dixon magnetic resonance imaging technique was used to quantify fat and calculate a fat-free contractile CSA. Strength was assessed by dynamometry. Muscle strength/CSA relationships were significantly lower in patients versus controls. The strength/contractile-CSA relationship was still severely lowered in BMD, but was almost normalized in LGMD2I. Our findings suggest close to intact contractile properties in LGMD2I, which are severely disrupted in BMD. Ann Neurol 2016;80:466-471.
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Affiliation(s)
| | | | - Carsten Thomsen
- Department of Diagnostic Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - John Vissing
- Copenhagen Neuromuscular Center, Copenhagen, Denmark.
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26
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Yang ACY, Kretzler M, Sudarski S, Gulani V, Seiberlich N. Sparse Reconstruction Techniques in Magnetic Resonance Imaging: Methods, Applications, and Challenges to Clinical Adoption. Invest Radiol 2016; 51:349-64. [PMID: 27003227 PMCID: PMC4948115 DOI: 10.1097/rli.0000000000000274] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The family of sparse reconstruction techniques, including the recently introduced compressed sensing framework, has been extensively explored to reduce scan times in magnetic resonance imaging (MRI). While there are many different methods that fall under the general umbrella of sparse reconstructions, they all rely on the idea that a priori information about the sparsity of MR images can be used to reconstruct full images from undersampled data. This review describes the basic ideas behind sparse reconstruction techniques, how they could be applied to improve MRI, and the open challenges to their general adoption in a clinical setting. The fundamental principles underlying different classes of sparse reconstructions techniques are examined, and the requirements that each make on the undersampled data outlined. Applications that could potentially benefit from the accelerations that sparse reconstructions could provide are described, and clinical studies using sparse reconstructions reviewed. Lastly, technical and clinical challenges to widespread implementation of sparse reconstruction techniques, including optimization, reconstruction times, artifact appearance, and comparison with current gold standards, are discussed.
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Affiliation(s)
- Alice Chieh-Yu Yang
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA
| | - Madison Kretzler
- Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, USA
| | - Sonja Sudarski
- Institute for Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim - Heidelberg University, Heidelberg, Germany
| | - Vikas Gulani
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA
- Department of Radiology, University Hospitals of Cleveland, Cleveland, USA
| | - Nicole Seiberlich
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA
- Department of Radiology, University Hospitals of Cleveland, Cleveland, USA
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27
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Díaz J, Woudt L, Suazo L, Garrido C, Caviedes P, CÁrdenas AM, Castiglioni C, Bevilacqua JA. Broadening the imaging phenotype of dysferlinopathy at different disease stages. Muscle Nerve 2016; 54:203-10. [PMID: 26800485 DOI: 10.1002/mus.25045] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Revised: 01/05/2016] [Accepted: 01/12/2016] [Indexed: 01/27/2023]
Abstract
INTRODUCTION MRI characterization of dysferlinopathy has been mostly limited to the lower limbs. We aimed to broaden the MRI description of dysferlinopathy and to correlate it with objective measures of motor dysfunction. METHODS Sequential whole-body axial MRI was performed in 27 patients with genetically confirmed dysferlinopathy classified according to disease duration. Spearman correlations of fatty infiltration scores versus Motor Function Measure (MFM) were calculated. RESULTS Significant fatty infiltration was symmetrically present in early stages mainly in the posterior compartments of legs and thighs, thigh adductors, pelvic girdle, and some paravertebral muscles and the subscapularis. Later, fatty infiltration involved leg and thigh anterior compartments, arms and forearms, paravertebral, and trunk muscles. MRI infiltration score correlated positively with disease duration and negatively with MFM scale. CONCLUSIONS We expand MRI characterization of dysferlinopathy and provide evidence for use of MRI scoring combined with motor functional scales to assess the natural course of disease. Muscle Nerve, 2016 Muscle Nerve 54: 203-210, 2016.
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Affiliation(s)
- Jorge Díaz
- Centro de Imagenología, Hospital Clínico Universidad de Chile, Santiago, Chile
| | - Lisanne Woudt
- Unidad Neuromuscular, Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile (HCUCH), Santos Dumont 999, 2 º piso, Sector E. Independencia, 8380456, Santiago, Chile
| | - Lionel Suazo
- Centro de Imagenología, Hospital Clínico Universidad de Chile, Santiago, Chile
| | - Cristián Garrido
- Centro de Imagenología, Hospital Clínico Universidad de Chile, Santiago, Chile
| | - Pablo Caviedes
- Programa de Farmacología Molecular y Clínica, ICBM, Facultad de Medicina, Universidad de Chile
| | - Ana M CÁrdenas
- Centro Interdisciplinario de Neurociencia de Valparaíso, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile
| | - Claudia Castiglioni
- Unidad de Neurología, Departamento de Pediatría, Clínica Las Condes, Santiago, Chile
| | - Jorge A Bevilacqua
- Unidad Neuromuscular, Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile (HCUCH), Santos Dumont 999, 2 º piso, Sector E. Independencia, 8380456, Santiago, Chile.,Programa Anatomía y Biología del Desarrollo, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile
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28
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Yokoo T, Clark HR, Pedrosa I, Yuan Q, Dimitrov I, Zhang Y, Lingvay I, Beg MS, Bobulescu IA. Quantification of renal steatosis in type II diabetes mellitus using dixon-based MRI. J Magn Reson Imaging 2016; 44:1312-1319. [PMID: 27007212 DOI: 10.1002/jmri.25252] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2015] [Accepted: 03/07/2016] [Indexed: 01/28/2023] Open
Abstract
PURPOSE To evaluate renal lipid content in subjects with and without type II diabetes mellitus (DM2) using Dixon-based magnetic resonance imaging (MRI). MATERIALS AND METHODS This retrospective study was approved by the Institutional Review Board and compliant with the Health Insurance Portability and Accountability Act. Sixty-nine adults with or without DM2 (n = 29, n = 40) underwent 3T MRI of the abdomen using 3D multiecho Dixon gradient-echo acquisition and proton-density fat fraction (FF) reconstruction. FF values were recorded within segmented regions of interest in the kidneys and liver. The FF measurement error was estimated from the within-subject difference between the right and left kidneys using Bland-Altman analysis. Correlation between renal FF, hepatic FF, and body mass index (BMI) was evaluated. The association between renal FF and DM2 was evaluated by Wilcoxon rank sum test as well as by multivariate regression to correct for potential confounding effects of age, sex, BMI, creatinine, and hepatic FF. P < 0.05 was considered statistically significant. RESULTS Per-subject 95% limits of agreement of the renal FF measurement were [-3.26%, +3.22%]. BMI was significantly correlated with renal FF (r = 0.266, P = 0.027) and with liver FF (r = 0.344, P = 0.006). Correlation between renal and hepatic FF did not reach statistical significance (r = 0.215, P = 0.090). Median renal FF (±interquartile range) was 2.18% (±2.52%) in the DM2 cohort, significantly higher than 0.80% (±2.63%) in the non-DM2 cohort (P < 0.001). After correcting for potential confounders, the relationship between DM2 and renal FF remained statistically significant (P = 0.005). CONCLUSION Renal lipid content can be measured noninvasively using Dixon-based MRI and may be increased in subjects with DM2 compared to those without DM2. J. Magn. Reson. Imaging 2016;44:1312-1319.
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Affiliation(s)
- Takeshi Yokoo
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA. .,Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
| | - Haley R Clark
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ivan Pedrosa
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Qing Yuan
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ivan Dimitrov
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Philips Medical Systems, Cleveland, Ohio, USA
| | - Yue Zhang
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ildiko Lingvay
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Clinical Science, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Muhammad S Beg
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - I Alexandru Bobulescu
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Charles and Jane Pak Center of Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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29
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Willcocks RJ, Rooney WD, Triplett WT, Forbes SC, Lott DJ, Senesac CR, Daniels MJ, Wang DJ, Harrington AT, Tennekoon GI, Russman BS, Finanger EL, Byrne BJ, Finkel RS, Walter GA, Sweeney HL, Vandenborne K. Multicenter prospective longitudinal study of magnetic resonance biomarkers in a large duchenne muscular dystrophy cohort. Ann Neurol 2016; 79:535-47. [PMID: 26891991 DOI: 10.1002/ana.24599] [Citation(s) in RCA: 126] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 12/11/2015] [Accepted: 01/02/2016] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The aim of this study was to describe Duchenne muscular dystrophy (DMD) disease progression in the lower extremity muscles over 12 months using quantitative magnetic resonance (MR) biomarkers, collected across three sites in a large cohort. METHODS A total of 109 ambulatory boys with DMD (8.7 ± 2.0 years; range, 5.0-12.9) completed baseline and 1-year follow-up quantitative MR imaging (transverse relaxation time constant; MRI-T2 ), MR spectroscopy (fat fraction and (1) H2 O T2 ), and 6-minute walk test (6MWT) measurements. A subset of boys completed additional measurements after 3 or 6 months. RESULTS MRI-T2 and fat fraction increased significantly over 12 months in all age groups, including in 5- to 6.9-year-old boys. Significant increases in vastus lateralis (VL) fat fraction were observed in 3 and 6 months. Even in boys whose 6MWT performance improved or remained stable over 1 year, significant increases in MRI-T2 and fat fraction were found. Of all the muscles examined, the VL and biceps femoris long head were the most responsive to disease progression in boys with DMD. INTERPRETATION MR biomarkers are responsive to disease progression in 5- to 12.9-year-old boys with DMD and able to detect subclinical disease progression in DMD, even within short (3-6 months) time periods. The measured sensitivity of MR biomarkers in this multicenter study may be critically important to future clinical trials, allowing for smaller sample sizes and/or shorter study windows in this fatal rare disease.
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Affiliation(s)
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR
| | | | - Sean C Forbes
- Department of Physical Therapy, University of Florida, Gainesville, FL
| | - Donovan J Lott
- Department of Physical Therapy, University of Florida, Gainesville, FL
| | - Claudia R Senesac
- Department of Physical Therapy, University of Florida, Gainesville, FL
| | - Michael J Daniels
- Department of Statistics & Data Sciences and Department of Integrative Biology, University of Texas at Austin, Austin, TX
| | - Dah-Jyuu Wang
- Division of Neurology and Department of Radiology, the Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Barry S Russman
- Departments of Pediatrics and Neurology, Oregon Health & Science University, Shriners Hospital for Children, Portland, OR
| | - Erika L Finanger
- Departments of Pediatrics and Neurology, Oregon Health & Science University, Shriners Hospital for Children, Portland, OR
| | - Barry J Byrne
- Department of Pediatrics and Molecular Genetics and Microbiology, Powell Gene Therapy Center University of Florida, Gainesville, FL
| | - Richard S Finkel
- Nemours Children's Hospital, University of Central Florida College of Medicine, Orlando, FL
| | - Glenn A Walter
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL
| | - H Lee Sweeney
- Department of Physiology, University of Pennsylvania, Philadelphia, PA
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30
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Forbes SC, Willcocks RJ, Rooney WD, Walter GA, Vandenborne K. MRI quantifies neuromuscular disease progression. Lancet Neurol 2015; 15:26-8. [PMID: 26549781 PMCID: PMC4959887 DOI: 10.1016/s1474-4422(15)00320-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 10/27/2015] [Indexed: 11/17/2022]
Affiliation(s)
- Sean C Forbes
- Department of Physical Therapy, University of Florida, Gainesville, Fl, 32610, USA
| | - Rebecca J Willcocks
- Department of Physical Therapy, University of Florida, Gainesville, Fl, 32610, USA
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Glenn A Walter
- Department of Physiology, University of Florida, Gainesville, Fl, 32610, USA
| | - Krista Vandenborne
- Department of Physical Therapy, University of Florida, Gainesville, Fl, 32610, USA.
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31
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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: 96] [Impact Index Per Article: 10.7] [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.
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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
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32
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Hollingsworth KG. Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction. Phys Med Biol 2015; 60:R297-322. [PMID: 26448064 DOI: 10.1088/0031-9155/60/21/r297] [Citation(s) in RCA: 126] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
MRI is often the most sensitive or appropriate technique for important measurements in clinical diagnosis and research, but lengthy acquisition times limit its use due to cost and considerations of patient comfort and compliance. Once an image field of view and resolution is chosen, the minimum scan acquisition time is normally fixed by the amount of raw data that must be acquired to meet the Nyquist criteria. Recently, there has been research interest in using the theory of compressed sensing (CS) in MR imaging to reduce scan acquisition times. The theory argues that if our target MR image is sparse, having signal information in only a small proportion of pixels (like an angiogram), or if the image can be mathematically transformed to be sparse then it is possible to use that sparsity to recover a high definition image from substantially less acquired data. This review starts by considering methods of k-space undersampling which have already been incorporated into routine clinical imaging (partial Fourier imaging and parallel imaging), and then explains the basis of using compressed sensing in MRI. The practical considerations of applying CS to MRI acquisitions are discussed, such as designing k-space undersampling schemes, optimizing adjustable parameters in reconstructions and exploiting the power of combined compressed sensing and parallel imaging (CS-PI). A selection of clinical applications that have used CS and CS-PI prospectively are considered. The review concludes by signposting other imaging acceleration techniques under present development before concluding with a consideration of the potential impact and obstacles to bringing compressed sensing into routine use in clinical MRI.
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33
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Mann LW, Higgins DM, Peters CN, Cassidy S, Hodson KK, Coombs A, Taylor R, Hollingsworth KG. Accelerating MR Imaging Liver Steatosis Measurement Using Combined Compressed Sensing and Parallel Imaging: A Quantitative Evaluation. Radiology 2015. [PMID: 26218662 DOI: 10.1148/radiol.2015150320] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE To determine the limits of agreement of hepatic fat fraction and R2* relaxation rate quantified with accelerated magnetic resonance (MR) imaging reconstructed with combined compressed sensing and parallel imaging compared with conventional fully sampled acquisitions. MATERIALS AND METHODS Eleven subjects with type 2 diabetes and a healthy control subject were recruited with the approval of the Newcastle and North Tyneside 2 ethics committee and written consent. Undersampled data at ratios of 2.6×, 2.9×, 3.8×, and 4.8× were prospectively acquired in addition to fully sampled data by using five gradient echoes per repetition time at 3.0 T. Fat fraction maps were calculated by using combined compressed sensing and parallel imaging (CS-PI) reconstruction and Bland-Altman analysis performed to assess bias and 95% limits of agreement. Inter- and intrarater analysis was performed for quantitative fat fraction and R2* relaxation rate, and image quality was assessed with a four-point scale by two independent observers. RESULTS The fat fractions from the accelerated acquisitions had 95% limits of agreement of 1.2%, 1.2%, 1.1%, and 1.5%, respectively, with no bias. When compared with the intra- and interrater 95% limits of agreement (0.7% and 0.8%), acceleration of up to 3.8× did not greatly degrade the fat fraction measurements. No or minimal artifact was detected at 2.6× and 2.9× accelerations, moderate artifact was detected at 3.8× acceleration, and substantial artifact was detected at 4.8× acceleration. CONCLUSION Prospective undersampling and CS-PI reconstruction of liver fat fractions can be used to accelerate liver fat fraction measurements. The fat fractions and image quality produced were acceptable up to a factor of 3.8×, thereby shortening the required breath-hold duration from 17.7 seconds to 4.7 seconds.
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Affiliation(s)
- Louis W Mann
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
| | - David M Higgins
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
| | - Carl N Peters
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
| | - Sophie Cassidy
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
| | - Kenneth K Hodson
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
| | - Anna Coombs
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
| | - Roy Taylor
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
| | - Kieren G Hollingsworth
- From the Newcastle Magnetic Resonance Centre (L.W.M., C.N.P., K.K.H., A.C., R.T., K.G.H.) and MoveLab (S.C.), Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, England; and Philips Healthcare, Guildford, England (D.M.H.)
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Baudin PY, Marty B, Robert B, Shukelovitch A, Carlier RY, Azzabou N, Carlier PG. Qualitative and quantitative evaluation of skeletal muscle fatty degenerative changes using whole-body Dixon nuclear magnetic resonance imaging for an important reduction of the acquisition time. Neuromuscul Disord 2015; 25:758-63. [PMID: 26346495 DOI: 10.1016/j.nmd.2015.07.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 07/07/2015] [Accepted: 07/15/2015] [Indexed: 11/17/2022]
Abstract
In recent years, MRI has proven its usefulness for the diagnostic workup of patients with musculo-skeletal diseases, and also shown great promise as a non-invasive, quantitative outcome measure in clinical studies. The characterization of patterns of fatty degenerative lesions, which now plays an important part in the diagnosis of some diseases, is typically performed by the radiologist on routine T1-weighted images. We propose to rationalize acquisitions and reduce patients' time in the scanner by allowing radiologists to perform the qualitative grading of the muscles on images derived from fat/water acquisitions. These maps are color-coded, where the different colors correspond to classes of fatty infiltration degree. This allows a quick visual assessment of the muscles, equivalent to the standard method. Using the weighted Kappa agreement test, the agreement between the proposed method and the traditional one, as well as the reproducibility of the results with two raters, was measured on twenty patients suffering from various neuromuscular pathologies. The presented comparisons show that the use of color coded fat fraction maps is statistically equivalent to using the traditional T1-weighted images when performing visual assessment of degenerative lesions with fatty infiltrations in patients with neuromuscular disorders.
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Affiliation(s)
| | - Benjamin Marty
- NMR Laboratory, Institute of Myology, AIM, Paris, France; CEA, I2BM, MIRCen, NMR Laboratory, F-75651 Paris, France
| | | | - Alexey Shukelovitch
- NMR Laboratory, Institute of Myology, AIM, Paris, France; CEA, I2BM, MIRCen, NMR Laboratory, F-75651 Paris, France; United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk, Belarus
| | - Robert Y Carlier
- AP-HP, Service de Radiologie, Hôpital Raymond Poincaré, Garches, France
| | - Noura Azzabou
- NMR Laboratory, Institute of Myology, AIM, Paris, France; CEA, I2BM, MIRCen, NMR Laboratory, F-75651 Paris, France
| | - Pierre G Carlier
- NMR Laboratory, Institute of Myology, AIM, Paris, France; CEA, I2BM, MIRCen, NMR Laboratory, F-75651 Paris, France
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