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Kurt-Aydin M, Savaş-Kalender D, Tarsuslu T, Yis U. Feasibility of virtual reality and comparison of its effectiveness to biofeedback in children with Duchenne and Becker muscular dystrophies. Muscle Nerve 2024; 70:82-93. [PMID: 38558014 DOI: 10.1002/mus.28084] [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: 04/17/2023] [Revised: 02/29/2024] [Accepted: 03/10/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION/AIMS The utilization of virtual reality (VR) and biofeedback training, while effective in diverse populations, remains limited in the treatment of Duchenne and Becker muscular dystrophies (D/BMD). This study aimed to determine the feasibility of VR in children with D/BMD and compare the effectiveness of VR and biofeedback in children with D/BMD. METHODS The study included 25 children with D/BMD. Eight children in the control group participated in a routine follow-up rehabilitation program, while the remaining children were randomly assigned to the VR (n = 9) and biofeedback (n = 8) groups for a 12-week intervention. The following evaluations were performed before, during (week 6), and after treatment: Muscle pain and cramps, laboratory studies, muscle strength, timed performance, function (Motor Function Measurement Scale-32, Vignos, and Brooke Scales), and balance (Pediatric Functional Reach Test and Balance Master System). Motivation for rehabilitation was determined. RESULTS The median ages were 9.00 (VR), 8.75 (biofeedback), and 7.00 (control) years. The study found no significant differences between groups in pretreatment assessments for most measures, except for tandem step width (p < .05). VR and biofeedback interventions significantly improved various aspects (pain intensity, cramp frequency, cramp severity, muscle strength, timed performance, functional level, and balance) in children with D/BMD (p < .05), while the conventional rehabilitation program maintained patients' current status without any changes. The study found VR and biofeedback equally effective, with VR maintaining children's motivation for rehabilitation longer (p < .05). DISCUSSION The study showed that both VR and biofeedback appear to be effective for rehabilitation this population, but additional, larger studies are needed.
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Affiliation(s)
- Merve Kurt-Aydin
- Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Izmir Katip Celebi University, Izmir, Turkey
- Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey
- Physiotherapy and Rehabilitation Application and Research Center, Izmir Katip Celebi University, Izmir, Turkey
| | | | - Tülay Tarsuslu
- Faculty of Physical Therapy and Rehabilitation, Dokuz Eylul University, Izmir, Turkey
| | - Uluç Yis
- Department of Pediatric Neurology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
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Willcocks RJ, Barnard AM, Daniels MJ, Forbes SC, Triplett WT, Brandsema JF, Finanger EL, Rooney WD, Kim S, Wang D, Lott DJ, Senesac CR, Walter GA, Sweeney HL, Vandenborne K. Clinical importance of changes in magnetic resonance biomarkers for Duchenne muscular dystrophy. Ann Clin Transl Neurol 2024; 11:67-78. [PMID: 37932907 PMCID: PMC10791017 DOI: 10.1002/acn3.51933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 10/03/2023] [Accepted: 10/08/2023] [Indexed: 11/08/2023] Open
Abstract
OBJECTIVE Magnetic resonance (MR) measures of muscle quality are highly sensitive to disease progression and predictive of meaningful functional milestones in Duchenne muscular dystrophy (DMD). This investigation aimed to establish the reproducibility, responsiveness to disease progression, and minimum clinically important difference (MCID) for multiple MR biomarkers at different disease stages in DMD using a large natural history dataset. METHODS Longitudinal MR imaging and spectroscopy outcomes and ambulatory function were measured in 180 individuals with DMD at three sites, including repeated measurements on two separate days (within 1 week) in 111 participants. These data were used to calculate day-to-day reproducibility, responsiveness (standardized response mean, SRM), minimum detectable change, and MCID. A survey of experts was also performed. RESULTS MR spectroscopy fat fraction (FF), as well as MR imaging transverse relaxation time (MRI-T2 ), measures performed in multiple leg muscles, and had high reproducibility (Pearson's R > 0.95). Responsiveness to disease progression varied by disease stage across muscles. The average FF from upper and lower leg muscles was highly responsive (SRM > 0.9) in both ambulatory and nonambulatory individuals. MCID estimated from the distribution of scores, by anchoring to function, and via expert opinion was between 0.01 and 0.05 for FF and between 0.8 and 3.7 ms for MRI-T2 . INTERPRETATION MR measures of FF and MRI T2 are reliable and highly responsive to disease progression. The MCID for MR measures is less than or equal to the typical annualized change. These results confirm the suitability of these measures for use in DMD and potentially other muscular dystrophies.
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Affiliation(s)
- Rebecca J. Willcocks
- Department of Physical Therapy, College of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFloridaUSA
| | - Alison M. Barnard
- Department of Physical Therapy, College of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFloridaUSA
| | | | - Sean C. Forbes
- Department of Physical Therapy, College of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFloridaUSA
| | - William T. Triplett
- Department of Physical Therapy, College of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFloridaUSA
| | - John F. Brandsema
- Division of NeurologyThe Children's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Erika L. Finanger
- Department of Pediatrics and NeurologyOregon Health & Science UniversityPortlandOregonUSA
| | - William D. Rooney
- Advanced Imaging Research CenterOregon Health & Science UniversityPortlandOregonUSA
| | - Sarah Kim
- Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Dah‐Jyuu Wang
- Department of RadiologyChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Donovan J. Lott
- Department of Physical Therapy, College of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFloridaUSA
| | - Claudia R. Senesac
- Department of Physical Therapy, College of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFloridaUSA
| | - Glenn A. Walter
- Department of Physiology and Functional Genomics, College of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - H. Lee Sweeney
- Department of Pharmacology and Therapeutics, College of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Krista Vandenborne
- Department of Physical Therapy, College of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFloridaUSA
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McDonald C, Camino E, Escandon R, Finkel RS, Fischer R, Flanigan K, Furlong P, Juhasz R, Martin AS, Villa C, Sweeney HL. Draft Guidance for Industry Duchenne Muscular Dystrophy, Becker Muscular Dystrophy, and Related Dystrophinopathies - Developing Potential Treatments for the Entire Spectrum of Disease. J Neuromuscul Dis 2024; 11:499-523. [PMID: 38363616 DOI: 10.3233/jnd-230219] [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] [Indexed: 02/17/2024]
Abstract
Background Duchenne muscular dystrophy (DMD) and related dystrophinopathies are neuromuscular conditions with great unmet medical needs that require the development of effective medical treatments. Objective To aid sponsors in clinical development of drugs and therapeutic biological products for treating DMD across the disease spectrum by integrating advancements, patient registries, natural history studies, and more into a comprehensive guidance. Methods This guidance emerged from collaboration between the FDA, the Duchenne community, and industry stakeholders. It entailed a structured approach, involving multiple committees and boards. From its inception in 2014, the guidance underwent revisions incorporating insights from gene therapy studies, cardiac function research, and innovative clinical trial designs. Results The guidance provides a deeper understanding of DMD and its variants, focusing on patient engagement, diagnostic criteria, natural history, biomarkers, and clinical trials. It underscores patient-focused drug development, the significance of dystrophin as a biomarker, and the pivotal role of magnetic resonance imaging in assessing disease progression. Additionally, the guidance addresses cardiomyopathy's prominence in DMD and the burgeoning field of gene therapy. Conclusions The updated guidance offers a comprehensive understanding of DMD, emphasizing patient-centric approaches, innovative trial designs, and the importance of biomarkers. The focus on cardiomyopathy and gene therapy signifies the evolving realm of DMD research. It acts as a crucial roadmap for sponsors, potentially leading to improved treatments for DMD.
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Affiliation(s)
| | - Eric Camino
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Rafael Escandon
- DGBI Consulting, LLC, Bainbridge Island, Washington, DC, USA
| | | | - Ryan Fischer
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Kevin Flanigan
- Center for Experimental Neurotherapeutics, Department of Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Pat Furlong
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Rose Juhasz
- Nationwide Children's Hospital, Columbus, OH, USA
| | - Ann S Martin
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Chet Villa
- Trinity Health Michigan, Grand Rapids, MI, USA
| | - H Lee Sweeney
- Cincinnati Children's Hospital Medical Center within the UC Department of Pediatrics, Cincinnati, OH, USA
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Song Y, Xu K, Xu HY, Guo YK, Xu R, Fu H, Yuan WF, Zhou ZQ, Xu T, Chen XJ, Wang YL, Fu C, Zhou H, Cai XT, Li XS. Longitudinal changes in magnetic resonance imaging biomarkers of the gluteal muscle groups and functional ability in Duchenne muscular dystrophy: a 12-month cohort study. Pediatr Radiol 2023; 53:2672-2682. [PMID: 37889296 PMCID: PMC10697878 DOI: 10.1007/s00247-023-05791-7] [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: 07/01/2023] [Revised: 10/08/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Quantitative magnetic resonance imaging (MRI) is considered an objective biomarker of Duchenne muscular dystrophy (DMD), but the longitudinal progression of MRI biomarkers in gluteal muscle groups and their predictive value for future motor function have not been described. OBJECTIVE To explore MRI biomarkers of the gluteal muscle groups as predictors of motor function decline in DMD by characterizing the progression over 12 months. MATERIALS AND METHODS A total of 112 participants with DMD were enrolled and underwent MRI examination of the gluteal muscles to determine fat fraction and longitudinal relaxation time (T1). Investigations were based on gluteal muscle groups including flexors, extensors, adductors, and abductors. The North Star Ambulatory Assessment and timed functional tests were performed. All participants returned for follow-up at an average of 12 months and were divided into two subgroups (functional stability/decline groups) based on changes in timed functional tests. Univariable and multivariable logistic regression methods were used to explore the risk factors associated with future motor function decline. RESULTS For the functional decline group, all T1 values decreased, while fat fraction values increased significantly over 12 months (P<0.05). For the functional stability group, only the fat fraction of the flexors and abductors increased significantly over 12 months (P<0.05). The baseline T1 value was positively correlated with North Star Ambulatory Assessment and negatively correlated with timed functional tests at the 12-month follow-up (P<0.001), while the baseline fat fraction value was negatively correlated with North Star Ambulatory Assessment and positively correlated with timed functional tests at the 12-month follow-up (P<0.001). Multivariate regression showed that increased fat fraction of the abductors was associated with future motor function decline (model 1: odds ratio [OR]=1.104, 95% confidence interval [CI]: 1.026~1.187, P=0.008; model 2: OR=1.085, 95% CI: 1.013~1.161, P=0.019), with an area under the curve of 0.874. CONCLUSION Fat fraction of the abductors is a powerful predictor of future motor functional decline in DMD patients at 12 months, underscoring the importance of focusing early on this parameter in patients with DMD.
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Affiliation(s)
- Yu Song
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Ke Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Hua-Yan Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Rong Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Hang Fu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Wei-Feng Yuan
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Zi-Qi Zhou
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Xi-Jian Chen
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Yi-Lei Wang
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Chuan Fu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Hui Zhou
- Department of Rehabilitation Medicine, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiao-Tang Cai
- Department of Rehabilitation Medicine, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Xue-Sheng Li
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
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Peng F, Xu H, Song Y, Xu K, Li S, Cai X, Guo Y, Gong L. Longitudinal study of multi-parameter quantitative magnetic resonance imaging in Duchenne muscular dystrophy: hyperresponsiveness of gluteus maximus and detection of subclinical disease progression in functionally stable patients. J Neurol 2023; 270:1439-1451. [PMID: 36385201 DOI: 10.1007/s00415-022-11470-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To describe the disease progression of Duchenne muscular dystrophy (DMD) in the pelvic and thigh muscles over 1-year using multiple-parameter quantitative magnetic resonance imaging (qMRI), and to determine the most responsive muscle and predict subclinical disease progression in functionally stable patients. METHODS Fifty-four DMD patients (mean age 8.9 ± 2.5, range 5-15 years) completed baseline and 1-year follow-up qMRI examinations/biomarkers [3-point Dixon/fat fraction (FF); T1 mapping/T1; T2 mapping/T2]. Meanwhile, clinical assessments [NorthStar ambulatory assessment (NSAA) score] and timed function tests were performed in DMD patients. Twenty-four healthy male controls (range 5-15 years) accomplished baseline qMRI examinations. Group differences were compared using the Wilcoxon test. The standardized response mean (SRM) was taken as the responsiveness to the disease progression index. RESULTS FF, T1, and T2 in all DMD age subgroups changed significantly over 1-year (P < 0.05). Even in functionally stable patients (NSAA score increased, unchanged, or decreased by 1-point) over 1-year, significant increases in FF and T2 and decreases in T1 were observed in gluteus maximus (GMa), gluteus medius, vastus lateralis, and adductor magnus (P < 0.05). Overall, the SRM of FF, T1, and T2 was all the highest in GMa, which were 1.25, - 0.92, and 0.93, respectively. CONCLUSIONS qMRI biomarkers are responsive to disease progression and can also detect subclinical disease progression in functionally stable DMD patients over 1-year. GMa is the most responsive to disease progression of all the muscles analyzed. TRIAL REGISTRATION Chinese Clinical Trial Registry ( http://www.chictr.org.cn/index.aspx ) ChiCTR1800018340, 09/12/2018, prospectively registered.
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Affiliation(s)
- Fei Peng
- Department of Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi Province, China
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Huayan Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Yu Song
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Ke Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Shuhao Li
- Department of Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi Province, China
| | - Xiaotang Cai
- Department of Pediatrics Neurology, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Yingkun Guo
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Lianggeng Gong
- Department of Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi Province, China.
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Huang M, Chen T, Wang Y, Zhou C, Cao J, Lu X. Responsiveness and Minimal Clinically Important Difference of the Chinese Version of the Motor Function Measure-32 in Children and Adolescents with Duchenne Muscular Dystrophy. Dev Neurorehabil 2022; 25:370-377. [PMID: 34964685 DOI: 10.1080/17518423.2021.2020352] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
PURPOSE This study aimed to examine the responsiveness and minimal clinically important difference of the Motor Function Measure 32-Chinese version (MFM 32-CN) in children and adolescents with Duchenne muscular dystrophy (DMD). METHODS This observational, prospective cohort study assessed changes in motor function over 12 months using the MFM 32-CN in 108 pediatric patients with DMD. RESULTS Moderate to high internal responsiveness was found for MFM total, D1, and D2 scores (SRM = 0.46-0.83). Sufficient external responsiveness was observed in all MFM scores, as determined by a good correlation with the Patient Global Impression of Change (PGIC) ratings (r = 0.54-0.72, p < .01). The estimated MCID values derived from different anchor-based methods ranged from 4.7 to 6.0, with a median of 5.0 points (%). CONCLUSION The MFM 32-CN demonstrates sufficient internal and external responsiveness as a measure of motor function in children and adolescents with DMD. The present study established the MCID of MFM-32 in pediatric patients with DMD.
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Affiliation(s)
| | - Turong Chen
- Shenzhen Children's Hospital, Shenzhen, China
| | - Yujuan Wang
- Shenzhen Children's Hospital, Shenzhen, China
| | | | - Jianguo Cao
- Shenzhen Children's Hospital, Shenzhen, China
| | - Xinguo Lu
- Shenzhen Children's Hospital, Shenzhen, China
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Veeger TTJ, van de Velde NM, Keene KR, Niks EH, Hooijmans MT, Webb AG, de Groot JH, Kan HE. Baseline fat fraction is a strong predictor of disease progression in Becker muscular dystrophy. NMR IN BIOMEDICINE 2022; 35:e4691. [PMID: 35032073 PMCID: PMC9286612 DOI: 10.1002/nbm.4691] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/24/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
In Becker muscular dystrophy (BMD), muscle weakness progresses relatively slowly, with a highly variable rate among patients. This complicates clinical trials, as clinically relevant changes are difficult to capture within the typical duration of a trial. Therefore, predictors for disease progression are needed. We assessed if temporal increase of fat fraction (FF) in BMD follows a sigmoidal trajectory and whether fat fraction at baseline (FFbase) could therefore predict FF increase after 2 years (ΔFF). Thereafter, for two different MR-based parameters, we tested the additional predictive value to FFbase. We used 3-T Dixon data from the upper and lower leg, and multiecho spin-echo MRI and 7-T 31 P MRS datasets from the lower leg, acquired in 24 BMD patients (age: 41.4 [SD 12.8] years). We assessed the pattern of increase in FF using mixed-effects modelling. Subsequently, we tested if indicators of muscle damage like standard deviation in water T2 (stdT2 ) and the phosphodiester (PDE) over ATP ratio at baseline had additional value to FFbase for predicting ∆FF. The association between FFbase and ΔFF was described by the derivative of a sigmoid function and resulted in a peak ΔFF around 0.45 FFbase (fourth-order polynomial term: t = 3.7, p < .001). StdT2 and PDE/ATP were not significantly associated with ∆FF if FFbase was included in the model. The relationship between FFbase and ∆FF suggests a sigmoidal trajectory of the increase in FF over time in BMD, similar to that described for Duchenne muscular dystrophy. Our results can be used to identify muscles (or patients) that are in the fast progressing stage of the disease, thereby facilitating the conduct of clinical trials.
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Affiliation(s)
- Thom T. J. Veeger
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Nienke M. van de Velde
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Kevin R. Keene
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Erik H. Niks
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Melissa T. Hooijmans
- Department of Radiology & Nuclear MedicineAmsterdam University Medical CentersAmsterdamThe Netherlands
| | - Andrew G. Webb
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Jurriaan H. de Groot
- Department of Rehabilitation Medicine, Leiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Hermien E. Kan
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
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Abdulhady H, Sakr HM, Elsayed NS, El-Sobky TA, Fahmy N, Saadawy AM, Elsedfy H. Ambulatory Duchenne muscular dystrophy children: cross-sectional correlation between function, quantitative muscle ultrasound and MRI. ACTA MYOLOGICA : MYOPATHIES AND CARDIOMYOPATHIES : OFFICIAL JOURNAL OF THE MEDITERRANEAN SOCIETY OF MYOLOGY 2022; 41:1-14. [PMID: 35465338 PMCID: PMC9004336 DOI: 10.36185/2532-1900-063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/11/2022] [Indexed: 01/24/2023]
Abstract
Duchenne muscular dystrophy (DMD) is a progressive genetic muscle disease. Quantitative muscle ultrasound (US), muscle MRI, and functional tools are important to delineate characteristics of muscle involvement. We aimed to establish correlations between clinical/functional and above-named imaging tools respecting their diagnostic and prognostic role in DMD children. A cross-sectional retrospective study of 27 steroid-naive, ambulant male children/adolescents with genetically-confirmed DMD (mean age, 8.8 ± 3.3 years). Functional performance was assessed using motor function measure (MFM) which assess standing/transfer (D1), proximal (D2) and distal (D3) motor function, and six-minute walk test (6MWT). Imaging evaluation included quantitative muscle MRI which measured muscle fat content in a specific location of right rectus femoris by mDixon sequence. Quantitative muscle US measured right rectus femoris muscle brightness in standardized US image as an indicator of muscle fat content. We found a highly significant positive correlation between the mean MFM total score and 6MWT (R = 0.537, p = 0.007), and a highly significant negative correlation between fat content by muscle US and MFM total score (R = -0.603, p = 0.006) and its D1 subscore (R =-0.712, p = 0.001), and a significant negative correlation between fat content by US and 6MWT (R = -0.529, p = 0.02), and a significant positive correlation between muscle fat content by mDixon MRI and patient's age (R = 0.617, p = 0.01). Quantitative muscle US correlates significantly with clinical/functional assessment tools as MFM and 6MWT, and augments their role in disease-tracking of DMD. Quantitative muscle US has the potential to act as a substitute to functional assessment tools.
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Affiliation(s)
- Hala Abdulhady
- Department of Physical Medicine, Rheumatology and Rehabilitation, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Hossam M. Sakr
- Department of Diagnostic and Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt,Correspondence Hossam M. Sakr Department of Diagnostic and Interventional Radiology and Molecular Imaging Faculty of Medicine, Ain Shams University, Abbassia square, 11381 Cairo, Egypt. E-mail:
| | - Nermine S. Elsayed
- Department of Medical Genetics, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Tamer A. El-Sobky
- Division of Pediatric Orthopedics, Department of Orthopedic Surgery, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Nagia Fahmy
- Neuromuscular Unit, Department of Neuropsychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Amr M. Saadawy
- Department of Diagnostic and Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Heba Elsedfy
- Department of Medical Genetics, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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Mensch A, Nägel S, Zierz S, Kraya T, Stoevesandt D. Bildgebung der Muskulatur bei Neuromuskulären Erkrankungen
– von der Initialdiagnostik bis zur Verlaufsbeurteilung. KLIN NEUROPHYSIOL 2022. [DOI: 10.1055/a-1738-5356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
ZusammenfassungDie bildgebende Diagnostik hat sich zu einem integralen Element der Betreuung von
PatientInnen mit neuromuskulären Erkrankungen entwickelt. Als
wesentliches Diagnostikum ist hierbei die Magnetresonanztomografie als breit
verfügbares und vergleichsweise standardisiertes Untersuchungsverfahren
etabliert, wobei die Sonografie der Muskulatur bei hinreichend erfahrenem
Untersucher ebenfalls geeignet ist, wertvolle diagnostische Informationen zu
liefern. Das CT hingegen spielt eine untergeordnete Rolle und sollte nur bei
Kontraindikationen für eine MRT in Erwägung gezogen werden.
Zunächst wurde die Bildgebung bei Muskelerkrankungen primär in
der Initialdiagnostik unter vielfältigen Fragestellungen eingesetzt. Das
Aufkommen innovativer Therapiekonzepte bei verschiedenen neuromuskulären
Erkrankungen machen neben einer möglichst frühzeitigen
Diagnosestellung insbesondere auch eine multimodale Verlaufsbeurteilung zur
Evaluation des Therapieansprechens notwendig. Auch hier wird die Bildgebung der
Muskulatur als objektiver Parameter des Therapieerfolges intensiv diskutiert und
in Forschung wie Praxis zunehmend verwendet.
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Affiliation(s)
- Alexander Mensch
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Steffen Nägel
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Stephan Zierz
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Torsten Kraya
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
- Klinik für Neurologie, Klinikum St. Georg,
Leipzig
| | - Dietrich Stoevesandt
- Universitätsklinik und Poliklinik für Radiologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
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10
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van de Velde NM, Hooijmans MT, Sardjoe Mishre ASD, Keene KR, Koeks Z, Veeger TTJ, Alleman I, van Zwet EW, Beenakker JWM, Verschuuren JJGM, Kan HE, Niks EH. Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy. Neurology 2021; 97:e513-e522. [PMID: 34162720 PMCID: PMC8356376 DOI: 10.1212/wnl.0000000000012233] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 04/29/2021] [Indexed: 12/30/2022] Open
Abstract
Objective To identify the best quantitative fat–water MRI biomarker for disease progression of leg muscles in Becker muscular dystrophy (BMD) by applying a stepwise approach based on standardized response mean (SRM) over 24 months, correlations with baseline ambulatory tests, and reproducibility. Methods Dixon fat–water imaging was performed at baseline (n = 24) and 24 months (n = 20). Fat fractions (FF) were calculated for 3 center slices and the whole muscles for 19 muscles and 6 muscle groups. Contractile cross-sectional area (cCSA) was obtained from the center slice. Functional assessments included knee extension and flexion force and 3 ambulatory tests (North Star Ambulatory Assessment [NSAA], 10-meter run, 6-minute walking test). MRI measures were selected using SRM (≥0.8) and correlation with all ambulatory tests (ρ ≤ −0.8). Measures were evaluated based on intraclass correlation coefficient (ICC) and SD of the difference. Sample sizes were calculated assuming 50% reduction in disease progression over 24 months in a clinical trial with 1:1 randomization. Results Median whole muscle FF increased between 0.2% and 2.6% without consistent cCSA changes. High SRMs and strong functional correlations were found for 8 FF but no cCSA measures. All measures showed excellent ICC (≥0.999) and similar SD of the interrater difference. Whole thigh 3 center slices FF was the best biomarker (SRM 1.04, correlations ρ ≤ −0.81, ICC 1.00, SD 0.23%, sample size 59) based on low SD and acquisition and analysis time. Conclusion In BMD, median FF of all muscles increased over 24 months. Whole thigh 3 center slices FF reduced the sample size by approximately 40% compared to NSAA.
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Affiliation(s)
- Nienke M van de Velde
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Melissa T Hooijmans
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Aashley S D Sardjoe Mishre
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Kevin R Keene
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Zaïda Koeks
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Thom T J Veeger
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Iris Alleman
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Erik W van Zwet
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Jan-Willem M Beenakker
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Jan J G M Verschuuren
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Hermien E Kan
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Erik H Niks
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands.
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11
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Sherlock SP, Zhang Y, Binks M, Marraffino S. Quantitative muscle MRI biomarkers in Duchenne muscular dystrophy: cross-sectional correlations with age and functional tests. Biomark Med 2021; 15:761-773. [PMID: 34155911 PMCID: PMC8253163 DOI: 10.2217/bmm-2020-0801] [Citation(s) in RCA: 13] [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: 11/19/2020] [Accepted: 03/23/2021] [Indexed: 01/07/2023] Open
Abstract
Aim: Using baseline data from a clinical trial of domagrozumab in Duchenne muscular dystrophy, we evaluated the correlation between functional measures and quantitative MRI assessments of thigh muscle. Patients & methods: Analysis included timed functional tests, knee extension/strength and North Star Ambulatory Assessment. Patients (n = 120) underwent examinations of one thigh, with MRI sequences to enable measurements of muscle volume (MV), MV index, mean T2 relaxation time via T2-mapping and fat fraction. Results: MV was moderately correlated with strength assessments. MV index, fat fraction and T2-mapping measures had moderate correlations (r ∼ 0.5) to all functional tests, North Star Ambulatory Assessment and age. Conclusion: The moderate correlation between functional tests, age and baseline MRI measures supports MRI as a biomarker in Duchenne muscular dystrophy clinical trials. Trial registration: ClinicalTrials.gov, NCT02310763; registered 4 November 2014.
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Affiliation(s)
| | - Yao Zhang
- Pfizer Inc, Cambridge, MA 02139, USA
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12
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The increasing role of muscle MRI to monitor changes over time in untreated and treated muscle diseases. Curr Opin Neurol 2021; 33:611-620. [PMID: 32796278 DOI: 10.1097/wco.0000000000000851] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW This review aims to discuss the recent results of studies published applying quantitative MRI sequences to large cohorts of patients with neuromuscular diseases. RECENT FINDINGS Quantitative MRI sequences are now available to identify and quantify changes in muscle water and fat content. These two components have been associated with acute and chronic injuries, respectively. Studies show that the increase in muscle water is not only reversible if therapies are applied successfully but can also predict fat replacement in neurodegenerative diseases. Muscle fat fraction correlates with muscle function tests and increases gradually over time in parallel with the functional decline of patients with neuromuscular diseases. There are new spectrometry-based sequences to quantify other components, such as glycogen, electrolytes or the pH of the muscle fibre, extending the applicability of MRI to the study of several processes in neuromuscular diseases. SUMMARY The latest results obtained from the study of long cohorts of patients with various neuromuscular diseases open the door to the use of this technology in clinical trials, which would make it possible to obtain a new measure for assessing the effectiveness of new treatments. The challenge is currently the popularization of these studies and their application to the monitoring of patients in the daily clinic.
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13
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Alic L, Griffin JF, Eresen A, Kornegay JN, Ji JX. Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review. Muscle Nerve 2021; 64:8-22. [PMID: 33269474 PMCID: PMC8247996 DOI: 10.1002/mus.27133] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 11/23/2020] [Accepted: 11/27/2020] [Indexed: 12/11/2022]
Abstract
There is a great demand for accurate non‐invasive measures to better define the natural history of disease progression or treatment outcome in Duchenne muscular dystrophy (DMD) and to facilitate the inclusion of a large range of participants in DMD clinical trials. This review aims to investigate which MRI sequences and analysis methods have been used and to identify future needs. Medline, Embase, Scopus, Web of Science, Inspec, and Compendex databases were searched up to 2 November 2019, using keywords “magnetic resonance imaging” and “Duchenne muscular dystrophy.” The review showed the trend of using T1w and T2w MRI images for semi‐qualitative inspection of structural alterations of DMD muscle using a diversity of grading scales, with increasing use of T2map, Dixon, and MR spectroscopy (MRS). High‐field (>3T) MRI dominated the studies with animal models. The quantitative MRI techniques have allowed a more precise estimation of local or generalized disease severity. Longitudinal studies assessing the effect of an intervention have also become more prominent, in both clinical and animal model subjects. Quality assessment of the included longitudinal studies was performed using the Newcastle‐Ottawa Quality Assessment Scale adapted to comprise bias in selection, comparability, exposure, and outcome. Additional large clinical trials are needed to consolidate research using MRI as a biomarker in DMD and to validate findings against established gold standards. This future work should use a multiparametric and quantitative MRI acquisition protocol, assess the repeatability of measurements, and correlate findings to histologic parameters.
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Affiliation(s)
- Lejla Alic
- Department of Electrical & Computer Engineering, Texas A&M University, Doha, Qatar.,Magnetic Detection and Imaging group, Technical Medical Centre, University of Twente, The Netherlands
| | - John F Griffin
- College of Vet. Med. & Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Aydin Eresen
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas, USA
| | - Joe N Kornegay
- College of Vet. Med. & Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Jim X Ji
- Department of Electrical & Computer Engineering, Texas A&M University, Doha, Qatar.,Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas, USA
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14
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Nishizawa H, Sato Y, Ishikawa M, Arakawa Y, Iijima M, Akiyama T, Takano K, Watanabe A, Kosho T. Marked motor function improvement in a 32-year-old woman with childhood-onset hypophosphatasia by asfotase alfa therapy: Evaluation based on standardized testing batteries used in Duchenne muscular dystrophy clinical trials. Mol Genet Metab Rep 2020; 25:100643. [PMID: 32983894 PMCID: PMC7494508 DOI: 10.1016/j.ymgmr.2020.100643] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 08/21/2020] [Accepted: 08/21/2020] [Indexed: 12/12/2022] Open
Abstract
Hypophosphatasia (HPP) is a rare disorder resulting from biallelic loss-of-function variants or monoallelic dominant negative variants in the ALPL gene. We herein describe the clinical outcome of a 32-year-old woman with childhood-onset HPP caused by compound heterozygous variants in ALPL. Her chief complaints were severe musculoskeletal pain, muscle weakness, and impaired daily activities necessitating assistance in housework and child-rearing in addition to a history of early tooth loss and mildly short stature. Asfotase alfa therapy produced a remarkable increase in muscle strength and daily activities and markedly reduced musculoskeletal pain. Drug efficacy was clearly demonstrated through multiple test batteries (muscle strength test using microFET®2, six-minute walking test, Stair Climb Test, rising-from-floor-time test, and number-of-steps test using Actigraph®) currently adopted as standardized evaluations in Duchenne muscular dystrophy clinical trials since no test batteries for HPP have been established to date. These tests may also be promising for the assessment of HPP.
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Affiliation(s)
- Hitomi Nishizawa
- Faculty of Health Sciences, Department of Medicine, Shinshu University, Matsumoto, Japan
| | - Yoshihiko Sato
- Department of Diabetes, Endocrinology and Metabolism, Division of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.,Department of Diabetes, Endocrinology and Metabolism, Matsumoto City Hospital, Matsumoto, Japan
| | - Masumi Ishikawa
- Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan
| | - Yuko Arakawa
- Department of Dentistry and Oral Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Mari Iijima
- Department of Clinical Nutrition, Shinshu University Hospital, Matsumoto, Japan
| | - Tomoyuki Akiyama
- Department of Child Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
| | - Kyoko Takano
- Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.,Department of Medical Genetics, Shinshu University School of Medicine, Matsumoto, Japan
| | - Atsushi Watanabe
- Division of Clinical Genetics, Kanazawa University Hospital, Kanazawa, Japan
| | - Tomoki Kosho
- Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.,Department of Medical Genetics, Shinshu University School of Medicine, Matsumoto, Japan.,Research Center for Supports to Advanced Science, Shinshu University, Matsumoto, Japan.,Division of Clinical Sequence, Shinshu University School of Medicine, Matsumoto, Japan
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15
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Cruz KLT, Camargos ACR, Cardoso J, de Baptista CRDJA, Ramos AD, Mattiello-Sverzut AC, Burns J, Leite HR. Translation and cross-cultural adaptation of the Charcot-Marie-Tooth disease Pediatric Scale to Brazilian Portuguese and determination of its measurement properties. Braz J Phys Ther 2020; 25:303-310. [PMID: 32800672 DOI: 10.1016/j.bjpt.2020.07.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 05/27/2020] [Accepted: 07/25/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The Charcot-Marie-Tooth disease Pediatric Scale (CMTPedS) has been used to measure aspects of disability in children with all types of Charcot-Marie-Tooth disease (CMT). OBJECTIVE To translate and cross-culturally adapt the CMTPedS into Brazilian-Portuguese and determine its reliability and validity. METHODS The translation and cross-cultural adaptation followed international guidelines recommendations. Twenty individuals with CMT were assessed. Two examiners assessed the participants for inter-rater reliability. Face validity was assessed by eight physical therapists that judged the relevance of each test item. The Bland-Altman analysis (bias) and standard error of measurement (SEM) complemented the analysis. Furthermore, intraclass correlation coefficients (ICC), weighted kappa (k), and internal consistency (Cronbach's alpha) was determined. RESULTS The CMTPedS was successfully translated and cross-culturally adapted. Twenty children/youth were enrolled in the study. Of these, the majority (55%) were girls with a mean age of 13.9 (range: from 6 to 18) years. Regarding face validity, the CMTPedS-Br showed relevant items for assessing children and youth with CMT. The ICC for the total score showed excellent reliability (ICC2.1 = 0.93, 95% CI = 0.84, 0.97). The most reliable items were grip, dorsiflexion and plantar flexion strength while the least reliable items were pinprick, vibration, and gait. The internal consistency was excellent (α = 0.96, 95% CI = 0.91, 0.99) and the agreement showed small variability (bias = 0.15, 95% CI= -4.28, 4.60). CONCLUSION The CMTPedS-Br showed adequate reliability and face validity to measure disability in individuals with CMT. This tool will allow Brazil to be part of multicentered studies on such a rare but debilitating condition.
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Affiliation(s)
- Karoliny Lisandra Teixeira Cruz
- Programa de Pós Graduação em Reabilitação e Desempenho Funcional (PPGReab), Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, MG, Brazil
| | - Ana Cristina Resende Camargos
- Programa de Pós Graduação em Reabilitação e Desempenho Funcional (PPGReab), Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, MG, Brazil; Programa de Pós Graduação em Ciências da Reabilitação (PPGCr), Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Juliana Cardoso
- Department of Health Sciences, Ribeirão Preto Medical School, University of Sao Paulo, Sao Paulo, SP, Brazil
| | | | - Aline Duprat Ramos
- Hospital Foundation of the State of Minas Gerais - FHEMIG - João XXIII Hospital, Physical Therapy Department, Belo Horizonte, MG, Brazil
| | | | - Joshua Burns
- University of Sydney School of Health Sciences, Faculty of Medicine and Health & Children's Hospital at Westmead, New South Wales, Sydney, Australia
| | - Hércules Ribeiro Leite
- Programa de Pós Graduação em Reabilitação e Desempenho Funcional (PPGReab), Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, MG, Brazil; Programa de Pós Graduação em Ciências da Reabilitação (PPGCr), Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.
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16
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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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Hu HH, Branca RT, Hernando D, Karampinos DC, Machann J, McKenzie CA, Wu HH, Yokoo T, Velan SS. Magnetic resonance imaging of obesity and metabolic disorders: Summary from the 2019 ISMRM Workshop. Magn Reson Med 2019; 83:1565-1576. [PMID: 31782551 DOI: 10.1002/mrm.28103] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/04/2019] [Accepted: 11/11/2019] [Indexed: 02/06/2023]
Abstract
More than 100 attendees from Australia, Austria, Belgium, Canada, China, Germany, Hong Kong, Indonesia, Japan, Malaysia, the Netherlands, the Philippines, Republic of Korea, Singapore, Sweden, Switzerland, the United Kingdom, and the United States convened in Singapore for the 2019 ISMRM-sponsored workshop on MRI of Obesity and Metabolic Disorders. The scientific program brought together a multidisciplinary group of researchers, trainees, and clinicians and included sessions in diabetes and insulin resistance; an update on recent advances in water-fat MRI acquisition and reconstruction methods; with applications in skeletal muscle, bone marrow, and adipose tissue quantification; a summary of recent findings in brown adipose tissue; new developments in imaging fat in the fetus, placenta, and neonates; the utility of liver elastography in obesity studies; and the emerging role of radiomics in population-based "big data" studies. The workshop featured keynote presentations on nutrition, epidemiology, genetics, and exercise physiology. Forty-four proffered scientific abstracts were also presented, covering the topics of brown adipose tissue, quantitative liver analysis from multiparametric data, disease prevalence and population health, technical and methodological developments in data acquisition and reconstruction, newfound applications of machine learning and neural networks, standardization of proton density fat fraction measurements, and X-nuclei applications. The purpose of this article is to summarize the scientific highlights from the workshop and identify future directions of work.
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Affiliation(s)
- Houchun H Hu
- Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio
| | - Rosa Tamara Branca
- Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Diego Hernando
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin.,Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jürgen Machann
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research, Tübingen, Germany.,Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Charles A McKenzie
- Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| | - Holden H Wu
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California
| | - Takeshi Yokoo
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Singapore BioImaging Consortium, Agency for Science Technology and Research, Singapore
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