Literature DB >> 29735511

Muscle MRI in patients with dysferlinopathy: pattern recognition and implications for clinical trials.

Jordi Diaz-Manera1,2, Roberto Fernandez-Torron3,4, Jaume LLauger5, Meredith K James4, Anna Mayhew4, Fiona E Smith6, Ursula R Moore4, Andrew M Blamire6, Pierre G Carlier7, Laura Rufibach8, Plavi Mittal8, Michelle Eagle4, Marni Jacobs9,10, Tim Hodgson6, Dorothy Wallace6, Louise Ward6, Mark Smith11, Roberto Stramare12, Alessandro Rampado12, Noriko Sato13, Takeshi Tamaru13, Bruce Harwick14, Susana Rico Gala15, Suna Turk7, Eva M Coppenrath16, Glenn Foster17, David Bendahan18,19, Yann Le Fur19, Stanley T Fricke20, Hansel Otero20, Sheryl L Foster21,22, Anthony Peduto21,22, Anne Marie Sawyer23, Heather Hilsden4, Hanns Lochmuller4, Ulrike Grieben24, Simone Spuler24, Carolina Tesi Rocha25, John W Day25, Kristi J Jones26, Diana X Bharucha-Goebel27,28, Emmanuelle Salort-Campana29, Matthew Harms30, Alan Pestronk30, Sabine Krause31, Olivia Schreiber-Katz31, Maggie C Walter31, Carmen Paradas32, Jean-Yves Hogrel33, Tanya Stojkovic33, Shin'ichi Takeda34, Madoka Mori-Yoshimura34, Elena Bravver35, Susan Sparks35, Luca Bello36, Claudio Semplicini36, Elena Pegoraro36, Jerry R Mendell37, Kate Bushby4, Volker Straub4.   

Abstract

BACKGROUND AND
OBJECTIVE: Dysferlinopathies are a group of muscle disorders caused by mutations in the DYSF gene. Previous muscle imaging studies describe a selective pattern of muscle involvement in smaller patient cohorts, but a large imaging study across the entire spectrum of the dysferlinopathies had not been performed and previous imaging findings were not correlated with functional tests.
METHODS: We present cross-sectional T1-weighted muscle MRI data from 182 patients with genetically confirmed dysferlinopathies. We have analysed the pattern of muscles involved in the disease using hierarchical analysis and presented it as heatmaps. Results of the MRI scans have been correlated with relevant functional tests for each region of the body analysed.
RESULTS: In 181 of the 182 patients scanned, we observed muscle pathology on T1-weighted images, with the gastrocnemius medialis and the soleus being the most commonly affected muscles. A similar pattern of involvement was identified in most patients regardless of their clinical presentation. Increased muscle pathology on MRI correlated positively with disease duration and functional impairment.
CONCLUSIONS: The information generated by this study is of high diagnostic value and important for clinical trial development. We have been able to describe a pattern that can be considered as characteristic of dysferlinopathy. We have defined the natural history of the disease from a radiological point of view. These results enabled the identification of the most relevant regions of interest for quantitative MRI in longitudinal studies, such as clinical trials. CLINICAL TRIAL REGISTRATION: NCT01676077. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  dysferlinopathy; muscle MRI; muscular dystrophy; outcome measures

Mesh:

Year:  2018        PMID: 29735511      PMCID: PMC6166612          DOI: 10.1136/jnnp-2017-317488

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


Introduction

Dysferlinopathies are a group of autosomal recessive muscular dystrophies caused by mutations in the DYSF gene.1 2 The absence or deficiency of dysferlin leads to muscle fibre necrosis and replacement by fat and fibrous tissue. The two most frequent presentations are limb girdle muscular dystrophy type 2B (LGMD-2B) and distal myopathy with calf involvement or Miyoshi myopathy (MM).3 Other phenotypes, such as distal myopathy with anterior tibial involvement, proximodistal weakness and pseudometabolic presentation, have also been described.4 Clinical symptoms usually start in young adulthood and are associated with highly elevated serum creatine kinase levels. The disease progresses invariably producing muscle weakness that markedly impairs daily life activities. Respiratory and cardiac involvement is uncommon in patients with dysferlinopathy.5 In recent years, muscle MRI protocols have been developed to assess disease progression in muscular dystrophies using sequences that are able to quantify the amount of fat replacement per muscle.6 7 Previous muscle MRI studies in dysferlinopathy showed initial involvement of the adductor magnus, semimembranosus and vastus lateralis muscles in the thigh and gastrocnemius medialis, soleus and tibialis anterior in the legs. The pattern of muscle involvement has not been described to vary between phenotypes, although these findings were reported in small cohorts.8–11 Natural history studies are essential to understand the progressive course of muscular dystrophies and to identify suitable outcome measures that can be used in future clinical trials. To address this gap, the Jain Foundation is funding The Clinical Outcome Study for Dysferlinopathy, a multicentre natural history study in a large cohort of patients (http://www.jain-foundation.org).12 Our aims in this paper are to identify the pattern of muscle pathology using MRI in a large cohort of patients with dysferlinopathy, to identify which muscles might be suitable to assess by quantitative MRI and study how MRI findings correlate with functional tests.

Methods

Study set-up and subjects

Two hundred and one patients with dysferlinopathy from 15 sites (Newcastle, Barcelona, Seville, Munich, Berlin, Padua, Marseille, Paris, Saint Louis, Columbus, Charlotte, Washington DC, Stanford, Tokyo and Sydney) were enrolled in the study. One hundred and eighty-two patients had an MRI scan (clinical and genetic details are described in online supplementary file 1). Inclusion criteria were ≥2 pathogenic mutations in DYSF or 1 pathogenic mutation plus either absent dysferlin expression on skeletal muscle immunoblot or ≤20% blood dysferlin monocyte expression. Truncating mutations and splice site mutations affecting the +1/–1 or +2/–2 positions were deemed pathogenic. Pathogenicity of other splice site mutations and missense mutations was defined according to the UMD Predictor (http://umd-predictor.eu). Demographic data were collected for ethnicity, gender, age, ambulatory status and disease duration. Patients were stratified according to the pattern of weakness at disease onset: (1) LGMD-2B, (2) MM, (3) proximodistal weakness, (4) other (pseudometabolic weakness). Those patients with no weakness at baseline examination but hyperCKemia were considered as (5) asymptomatic hyperCKemia. Disease duration was based on the time from onset of muscle weakness in symptomatic patients and time from first abnormal blood analysis result in patients with isolated hyperCKemia.

Functional status and physiotherapy assessment

Ambulation status was determined by the ability to walk 10 m with shoes and usual walking aids or orthotics. Physiotherapists assessed muscle strength in upper and lower limbs by manual muscle testing (MMT) using an Medical Research Council 11-point scale (0=no movement, 1, 2, 3–, 3, 3+, 4–, 4, 4+, 5–, 5=no weakness). A dysferlinopathy-adapted 22-item scale based on the original 17-item North Star Ambulatory Assessment (NSAA) scale used in Duchenne muscular dystrophy and the Motor Function Measure were used to assess motor performance.12 13 Timed tests (6 min walk test, rise from floor, 10 m walk/run, time to climb and descend four steps and timed up and go tests) were performed in ambulant patients. The Brooke scale was performed to evaluate upper limb functional status and the ACTIVLIM as a patient-reported outcome measure.14 15

Muscle MRI: acquisition

One hundred and eighty-two patients underwent a baseline muscle MRI scan, of which 84 patients had whole body and 98 patients lower limb scans. The core protocol consisted of T1-weighted, Dixon, B1 map and T2-weighted sequences. Here, we report the findings using anatomical T1-weighted sequences. The manufacturer, models and axial T1-weighted parameters are detailed in online supplementary file 2. The quality of the MRI studies was analysed by the study radiologists.

Muscle MRI: Semiquantitative assessment

A blinded neurologist (RF-T) and radiologist (JL), both with experience in muscle MRI in neuromuscular disorders, independently evaluated axial T1-weighted sequences with the semiquantitative Mercuri visual scale, modified by Fischer, described in online supplementary file 2.16 The observers agreed on the scoring of 96% of muscles. Inter-rater agreement kappa was 0.93 (95% CI 0.91 to 0.96). For the remaining 4%, observers reviewed the muscles together and agreed a final score.

Genotype-MRI correlation

We divided the cohort into two groups depending on mutation type: (1) patients in whom absent dysferlin expression was predicted (harbouring homozygous or compound heterozygous truncating mutations) and (2) patients in whom reduced dysferlin expression was predicted (two missense mutations or one missense mutation and one truncating mutation). We compared median value of muscle fatty replacement between groups using the Wilcoxon-Mann-Whitney test.

Statistics

We used the Shapiro-Wilk test to confirm that none of our variables were normally distributed. As such, non-parametric statistic tests were used for the analysis. The Mann-Whitney U test was used to compare quantitative variables and the χ² test to compare qualitative variables. Due to the high number of comparisons studied, Bonferroni correction was used as posthoc analysis. To investigate correlations between muscle function tests and MRI findings, Spearman’s rank correlation was used (coefficient reported as ρ). The correlation was considered significant if p value was less than 0.05 and ρ was 0.6 or higher. Hierarchical analysis and graphical representation as a heatmap was performed using R software, V.3.1.3. Statistical analyses were performed using IBM SPSS Statistics, V.21 (IBM, Armonk, New York, USA).

Standard protocol approvals, registrations and patient consents

All participants provided informed consent. The study was approved by ethical review boards at each centre and registered at ClinicalTrials.gov (NCT01676077).

Results

Patients

We included 182 patients (91 women, mean age at MRI 38±12.6 years) from whom we have obtained muscle MRI scans. Demographic, clinical and genetic data are summarised in online supplementary file 3.

Muscle MRI involvement: general features

Signal abnormalities in T1-weighted images were detected in all but one patient (181 out of 182 patients). Asymmetric involvement, judged as a score difference of at least 2 points in at least one muscle, was found in 77 patients (41.8%) although in 51/77 patients the asymmetry was found in one muscle only. Asymmetry in two or more muscles was found in 26/77 patients. Muscles that had asymmetric involvement were variable.

Cranial muscles

Cranial involvement was analysed in 73 patients and fatty replacement was detected in 25 (34.2%). The tongue (34.2%) and the cervical paraspinal muscles (24.6%) were most commonly involved (figure 1A–D). In contrast, temporalis, masseter and sternocleidomastoideus muscles were least commonly affected (only in 1, 2 and 3 patients, respectively). The degree of fat replacement of the cervical paraspinal and sternocleidomastoideus muscles had a statistically significant correlation with item 1 ‘lifts head from supine’, from the NSAA-a, although the correlation coefficient was poor (ρ=0.46) (table 1).
Figure 1

Axial T1-weighted muscle MRI in dysferlinopathy. The cranial muscles (A–B) more commonly replaced by fat are the tongue (T) and the cervical paraspinal muscles (CPs). Levator scapulae (LS) is generally not involved until later stages of the disease (C, no involvement; D, involvement). In the scapular region (E–H) the subscapularis (Sc) is involved at the early stages; other muscles such as deltoid (De), infraspinatus (Is) or supraspinatus (SS) become progressively involved. Rhomboideus (R) tends to be not involved until later stages of the disease (E–G, no involvement; H, involvement in an advanced case). Biceps brachii (Bi), triceps brachii (Tr) and the anterior muscles of the forearm (FA) are commonly involved (I–K), while the posterior muscles of the forearm (FP) are not involved even in later stages of the disease. Latissimus dorsi (LD) tends to be involved before serratus anterior (SA) in most of the patients (I–J). Paraspinal muscles including the multifidus (M), the longissimus (L) and the iliocostalis (Ic) are affected in most of the patients at symptom onset, while abdominal muscles, such as rectus abdominis (RA) are more resistant and become affected only in latter stages (K). Gluteus minor (GMi) is more severely involved than gluteus medius (GMe) and maximus (GMa) (L–M). Pelvic floor muscles are transformed by fat in patients with dysferlinopathy, with the tensor fascia latae (TFL), obturatorius externus (OE) and internus (OI) being the muscles more commonly involved (N–O). The posterior muscles of the thighs (semimembranosus (Sm), biceps femoris long head (BLH), biceps femoris short head (BSH) or adductor major (AM)) are commonly involved in most of the patients (P–S). BSH tend to be less involved than BLH in early and mid-stage patients (Q). Vasti muscles are commonly involved even in early stages of the diseases (vastus intermedius (VI) in R). In contrast Sartorius (Sa) and gracilis (Gr) are not involved until late stages of the disease (Q and S). Analysis of the lower legs (T–W) shows initial involvement of gastrocnemius medialis (GM) and lateralis (GL) and soleus (So). Peroneus muscles (Pe) are also involved in most of the patients (U). Later in the progression of the disease tibialis anterior (TA) and posterior (TP) become transformed by fat (V–W).

Table 1

Correlation found between muscle MRI scores and the appropriate muscle function test per every region of the body

Body regionFunctional scoreSpearman testCorrelation coefficient
Cranial musclesNSAA item 1 (lift head)0.0001−0.46
Arm musclesBrooke score0.00010.77
MMT biceps*0.0001−0.68
Scapular musclesBrooke scale0.00010.68
ACTIVLIM scale0.0001−0.57
Trunk/pelvic musclesNSAA item 12–13 (stand on one leg)0.0001−0.74
NSAA item 6 (get to sitting)0.0001−0.72
MMT glutei†0.0001−0.471
Thigh musclesTime to Climb 4 Steps0.00010.63
Time to Up & Go0.00010.63
ACTIVLIM Up Stairs0.00010.53
ACTIVLIM Down Stairs0.00010.68
MMT knee flexion‡0.0001−0.63
Leg musclesNSAA item 20 (stand on heels)>0.05
NSAA item 28 (stand on tiptoes)>0.05
MMT plantar flexion§>0.05
Trunk, pelvis, thigh muscles6MWT0.0001−0.73
Time to run/walk 10 m0.00010.55

*Correlation between the degree of muscle fatty transformation of the biceps brachii and the MMT of biceps.

†Correlation between mean degree muscle fatty transformation of the glutei muscles and MMT of hip extension.

‡Correlation between the mean degree of muscle fatty transformation of the posterior muscles of the thighs and MMT of knee flexion.

§Correlation between the mean degree of muscle fatty transformation of the posterior muscles of the lower legs and MMT of plantar flexion.

MMT, manual muscle test; MWT, minute walking test; NSAA, North Star Ambulatory Assessment.

Correlation found between muscle MRI scores and the appropriate muscle function test per every region of the body *Correlation between the degree of muscle fatty transformation of the biceps brachii and the MMT of biceps. †Correlation between mean degree muscle fatty transformation of the glutei muscles and MMT of hip extension. ‡Correlation between the mean degree of muscle fatty transformation of the posterior muscles of the thighs and MMT of knee flexion. §Correlation between the mean degree of muscle fatty transformation of the posterior muscles of the lower legs and MMT of plantar flexion. MMT, manual muscle test; MWT, minute walking test; NSAA, North Star Ambulatory Assessment. Axial T1-weighted muscle MRI in dysferlinopathy. The cranial muscles (A–B) more commonly replaced by fat are the tongue (T) and the cervical paraspinal muscles (CPs). Levator scapulae (LS) is generally not involved until later stages of the disease (C, no involvement; D, involvement). In the scapular region (E–H) the subscapularis (Sc) is involved at the early stages; other muscles such as deltoid (De), infraspinatus (Is) or supraspinatus (SS) become progressively involved. Rhomboideus (R) tends to be not involved until later stages of the disease (E–G, no involvement; H, involvement in an advanced case). Biceps brachii (Bi), triceps brachii (Tr) and the anterior muscles of the forearm (FA) are commonly involved (I–K), while the posterior muscles of the forearm (FP) are not involved even in later stages of the disease. Latissimus dorsi (LD) tends to be involved before serratus anterior (SA) in most of the patients (I–J). Paraspinal muscles including the multifidus (M), the longissimus (L) and the iliocostalis (Ic) are affected in most of the patients at symptom onset, while abdominal muscles, such as rectus abdominis (RA) are more resistant and become affected only in latter stages (K). Gluteus minor (GMi) is more severely involved than gluteus medius (GMe) and maximus (GMa) (L–M). Pelvic floor muscles are transformed by fat in patients with dysferlinopathy, with the tensor fascia latae (TFL), obturatorius externus (OE) and internus (OI) being the muscles more commonly involved (N–O). The posterior muscles of the thighs (semimembranosus (Sm), biceps femoris long head (BLH), biceps femoris short head (BSH) or adductor major (AM)) are commonly involved in most of the patients (P–S). BSH tend to be less involved than BLH in early and mid-stage patients (Q). Vasti muscles are commonly involved even in early stages of the diseases (vastus intermedius (VI) in R). In contrast Sartorius (Sa) and gracilis (Gr) are not involved until late stages of the disease (Q and S). Analysis of the lower legs (T–W) shows initial involvement of gastrocnemius medialis (GM) and lateralis (GL) and soleus (So). Peroneus muscles (Pe) are also involved in most of the patients (U). Later in the progression of the disease tibialis anterior (TA) and posterior (TP) become transformed by fat (V–W).

Arm muscles

Arm involvement was analysed in 35 patients. Hierarchical analysis identified two more commonly and severely involved muscles (online supplementary figure 1A): the biceps brachii (57.1%) and the anterior muscles of the forearm (53.8%). Commonly observed patterns included: The biceps brachii was equally or more severely involved than the triceps or the brachialis muscles (figure 1I,J, online supplementary figure 1 and table 2).
Table 2

Percentage of patients for whom the every ‘pattern rule’ proposed was correct

Criteria% of cases
Biceps brachii equally or more severely involved than the triceps100
Biceps brachii equally or more severely involved than brachialis97.05
Anterior muscles of the forearm more severely involved than posterior muscles of the forearm95.05
Patients in which subscapularis was involved despite not having symptoms of proximal upper limb muscle dysfunction as measured by the Brooke test and the manual muscle testing67.64
The supraspinatus was equally or more severely involved than the rhomboideus97.01
The infraspinatus was equally or more severely involved than the rhomboideus98.38
The latissimus dorsi was equally or more severely involved than the serratus anterior95.55
If levator scapulae and rhomboideus were affected, subscapularis, supraspinatus and infraspinatus were severely involved77.77
Paraspinal muscles were equally or more involved than abdominal muscles95.4
Gluteus minimus equally or more severely involved than gluteus medius98.86
Gluteus minimus equally or more severely involved than gluteus maximus95.45
Obturator externus equally or more severely involved than the gluteus maximus89.87
Biceps femoris long head equally or more involved than the biceps femoris short head95.18
Adductor magnus equally or more severely involved than the adductor longus80.98
Rectus femoris (Score1 to 4) was not spared when the vasti muscles were involved (Score 2, 3 or 4)92.61
Sartorius and gracilis were not completely replaced by fat92.22
All symptomatic patients had involvement of at least one posterior muscle in the lower legs100
Peroneus equally or more involved than the tibialis anterior91.57
The anterior muscles of the forearm were equally or more severely involved than the posterior muscles of the forearm (figure 1K and online supplementary figure 1). Percentage of patients for whom the every ‘pattern rule’ proposed was correct

Scapular muscles

Scapular involvement was analysed in 78 patients. Hierarchical analysis identified four muscles as more commonly and severely involved (figure 2): the subscapularis (80.8%), latissimus dorsi (75.3%), infraspinatus (73.8%) and supraspinatus (72.8%).
Figure 2

Heatmaps showing involvement of scapular muscles. Patients and muscles are ordered according to hierarchical clustering with increasing grading in fat replacement severity from the bottom to the top (patients—rows) and from the left to the right (muscles—columns). The score of a muscle in a patient is indicated by the colour of the square. Grey squares mean that data are not available. The column in the top left contains information related to the phenotype of the patient at onset of the disease (legend in the bottom left). We have also included a column with information about the time from onset of symptoms to the MRI (years symptomatic) in blue and a column to the far right with the results of the Brooke and ACTIVLIM scales (see legends for these scales at the bottom of the figure): the darker the square, the more time from onset (blue) or the worse the result of the Brooke (orange) or ACTIVLIM scales. We found a statistically significant correlation between the median value of the Mercuri score per patient, the years symptomatic and the results of the Brooke and ACTIVLIM scale. LGMD-2B, limb girdle muscular dystrophy type 2B.

Heatmaps showing involvement of scapular muscles. Patients and muscles are ordered according to hierarchical clustering with increasing grading in fat replacement severity from the bottom to the top (patients—rows) and from the left to the right (muscles—columns). The score of a muscle in a patient is indicated by the colour of the square. Grey squares mean that data are not available. The column in the top left contains information related to the phenotype of the patient at onset of the disease (legend in the bottom left). We have also included a column with information about the time from onset of symptoms to the MRI (years symptomatic) in blue and a column to the far right with the results of the Brooke and ACTIVLIM scales (see legends for these scales at the bottom of the figure): the darker the square, the more time from onset (blue) or the worse the result of the Brooke (orange) or ACTIVLIM scales. We found a statistically significant correlation between the median value of the Mercuri score per patient, the years symptomatic and the results of the Brooke and ACTIVLIM scale. LGMD-2Blimb girdle muscular dystrophy type 2B. Commonly observed patterns included: The subscapularis could be involved in patients even without symptoms of proximal upper limb muscle dysfunction as measured by the Brooke or MMT (figure 1E and figure 2). The supraspinatus and infraspinatus were equally or more severely involved than the rhomboideus (figure 1F–H and figure 2). The latissimus dorsi was equally or more severely involved than the serratus anterior (figure 1I,J and figure 2). If levator scapulae and rhomboideus were affected, subscapularis, supraspinatus and infraspinatus were severely involved (Mercuri 3–4) (figure 1C–H and figure 2).

Trunk and pelvic muscles

Trunk and pelvic involvement was analysed in 89 patients. Hierarchical analysis identified six more commonly and more severely involved muscles (online supplementary figure 2): the tensor fascia latae (95%), gluteus minimus (90.8%), obturator externus (86%), iliocostalis (93.1%), longissimus (86.2%) and multifidus (88.5%). Commonly observed patterns included: Paraspinal muscles were equally or more involved than abdominal muscles (figure 1J,K and online supplementary figure 2). The gluteus minimus was more severely involved than gluteus medius and gluteus maximus (figure 1L,M and online supplementary figure 2). The obturator externus was equally or more severely involved than the gluteus maximus (figure 1L–O and online supplementary figure 2).

Thigh muscles

Thigh involvement was analysed in 182 patients. Hierarchical analysis identified four muscles that were more commonly and more severely involved (figure 3): the semimembranosus (95.4%), semitendinosus (90.2%), biceps femoris long head (93.5%) and adductor magnus (94.1%).
Figure 3

Heatmap of the muscle involvement of the thigh muscles. Patients and muscles are ordered according to hierarchical clustering with increasing grading in severity of fat replacement from the bottom to the top (patients—rows) and from the left to the right (muscles—columns). The score of a muscle in a patient is indicated by the colour of the square. Grey squares means that data is not available. A column in the far left contains information related to the phenotype of the patient at onset of the disease (Yellow: LGMD-2B; red: Miyoshi). We have also included a column with information about the time from onset of symptoms to the MRI (years symptomatic) in blue and a column on the far right with the results of the Timed Up & Go and Time to Climb 4 Stairs tests in red: the darker the square the more time from onset (blue) or the worse the result of the Time to Up & Go (red). We found a statistically significant correlation between the median value of the Mercuri score per patient, the years symptomatic and the results of the time to Up & Go test. LGMD-2B, limb girdle muscular dystrophy type 2; MMT, manual muscle testing.

Heatmap of the muscle involvement of the thigh muscles. Patients and muscles are ordered according to hierarchical clustering with increasing grading in severity of fat replacement from the bottom to the top (patients—rows) and from the left to the right (muscles—columns). The score of a muscle in a patient is indicated by the colour of the square. Grey squares means that data is not available. A column in the far left contains information related to the phenotype of the patient at onset of the disease (Yellow: LGMD-2B; red: Miyoshi). We have also included a column with information about the time from onset of symptoms to the MRI (years symptomatic) in blue and a column on the far right with the results of the Timed Up & Go and Time to Climb 4 Stairs tests in red: the darker the square the more time from onset (blue) or the worse the result of the Time to Up & Go (red). We found a statistically significant correlation between the median value of the Mercuri score per patient, the years symptomatic and the results of the time to Up & Go test. LGMD-2Blimb girdle muscular dystrophy type 2; MMT, manual muscle testing. Commonly observed patterns included: The biceps femoris long head was equally or more involved than the biceps femoris short head (figure 1P–S and figure 3). The adductor magnus equally or more severely involved than the adductor longus (figure 1P–S and figure 3). Rectus femoris was not spared when the vasti muscles were involved (Mercuri 2, 3 or 4) (figure 1P–S and figure 3). The sartorius and gracilis were not involved until late stages, but even then were not commonly completely replaced by fat (figure 1P–S and figure 3).

Lower leg muscles

Lower leg involvement was analysed in 182 patients. Hierarchical analysis identified three more commonly and more severely involved muscles (figure 4C): the soleus (99.45%), gastrocnemius medialis (99.45%) and the gastrocnemius lateralis (94.7%).
Figure 4

Heatmap of the muscle involvement of the lower leg muscles. Patients and muscles are ordered according to hierarchical clustering with increasing grading in fat replacement severity from the bottom to the top (patients—rows) and from the left to the right (muscles—columns). The score of a muscle in a patient is indicated by the colour of the square. Grey squares means that data is not available. A column in the far left contains information related to the phenotype of the patient at onset of the disease (Yellow: LGMD-2B; red: Miyoshi). We have also included a column with information about the time from onset of symptoms to the MRI (years symptomatic) in blue. We found a statistically significant correlation between the median value of the Mercuri score per patient and the years symptomatic. LGMD-2B, limb girdle muscular dystrophy type 2B.

Heatmap of the muscle involvement of the lower leg muscles. Patients and muscles are ordered according to hierarchical clustering with increasing grading in fat replacement severity from the bottom to the top (patients—rows) and from the left to the right (muscles—columns). The score of a muscle in a patient is indicated by the colour of the square. Grey squares means that data is not available. A column in the far left contains information related to the phenotype of the patient at onset of the disease (Yellow: LGMD-2B; red: Miyoshi). We have also included a column with information about the time from onset of symptoms to the MRI (years symptomatic) in blue. We found a statistically significant correlation between the median value of the Mercuri score per patient and the years symptomatic. LGMD-2Blimb girdle muscular dystrophy type 2B. Commonly observed patterns included: All symptomatic patients had involvement of at least one posterior muscle of the lower legs (figure 1T–W and figure 4). Peroneus equally or more involved than the tibialis anterior (figure 1T–W and figure 4). Patients with advanced disease could have involvement of all lower leg muscles, including the tibialis posterior (figure 1T–W and figure 4).

Influence of demographic and clinical features on muscle involvement

There were gender differences in the degree of muscle fatty involvement in some muscles. The rectus abdominis, rectus femoris, vastus intermedius, vastus lateralis, vastus medialis, peroneus longus, peroneus brevis, gastrocnemius lateralis, gastrocnemius medialis and soleus were more severely involved in women (Mann Whitney U test, p<0.05). Ethnicity did not appear to influence the degree of involvement. Neither the type of mutation nor the phenotype at onset correlated with the pattern or severity of the fat replacement on MRI.

Influence of disease duration on the degree of muscle pathology: a natural history approach

Disease duration (defined here as time since onset of muscle weakness) correlated with the degree of fat replacement in all anatomical regions (Spearman’s test, p<0.0001). To investigate the sequence of muscle involvement as the disease progressed, we classified the patients into six groups depending on the time to MRI from onset and calculated the median value of fat replacement of muscle tissue. The heatmaps obtained revealed a pattern of disease progression (figure 5). The muscles involved in the earliest stages of the disease were predominantly in the lower limbs, pelvis or trunk, although the subscapularis and the latissimus dorsi could also be involved early (figure 5). The rate at which fatty replacement progressed varied between muscles, for example, the soleus, gastrocnemius medialis and semimembranosus were usually completely involved after 10 years, while the adductor magnus or vastus lateralis were only completely involved when disease duration approached 25 years.
Figure 5

Heatmap showing the progression of the muscle involvement related to the time from onset of symptoms to the MRI. Patients were divided into six groups for the analysis of the progression of muscle involvement. Muscles (columns) are ordered according to hierarchical clustering with increasing grading of muscle fatty replacement in T1-W imaging from the left to the right. The score of a muscle per every group is indicated by the colour of the square. We obtained a pattern of the progression of the disease related to the time from onset of symptoms to the MRI showing the natural history of the disease.

Heatmap showing the progression of the muscle involvement related to the time from onset of symptoms to the MRI. Patients were divided into six groups for the analysis of the progression of muscle involvement. Muscles (columns) are ordered according to hierarchical clustering with increasing grading of muscle fatty replacement in T1-W imaging from the left to the right. The score of a muscle per every group is indicated by the colour of the square. We obtained a pattern of the progression of the disease related to the time from onset of symptoms to the MRI showing the natural history of the disease.

Correlation between functional tests and the muscle Mercuri score

The degree of fatty replacement on semiquantitative muscle MRI was correlated with the Brooke scale for the upper limbs, the 6 min walking test (6MWT) for the lower limbs and the NSAA, MMT and timed tests (table 1). For the scapular muscles, we classified the patients into five groups according to the Brooke scale (the two least able scores were grouped together and indicated by the number 5) and calculated the median value of fat per muscle in every group of patients. The heatmap obtained (online supplementary figure 3) showed that the subscapularis, latissimus dorsi, infraspinatus and supraspinatus were involved in all patients, even if they were in the most functional group (ie, score of 1), while the levator scapulae or rhomboideus were only mildly involved, even in the least able patients (score 4 and 5). For the lower limbs, we classified patients into groups depending on distance covered in the 6MWT and calculated the median value of fat replacement for each muscle (figure 6). Using this approach, we suggest which muscles would be useful to follow longitudinally with muscle MRI according to the result of the 6MWT. For example, in the case of patients walking 600–700 m, the soleus, gastrocnemius medialis and the peroneus group were already involved, though to a mild degree. In contrast, these four muscles were completely transformed in patients walking 300–400 m and would therefore not be suitable for follow-up once function has decreased to this level. At this point, the graphic shows that the tibialis anterior, vastus intermedius or even the vastus medialis would be more useful for follow-up. In non-ambulant patients, the muscles useful for follow-up included the gracilis, the gluteus medius or the piriformis.
Figure 6

Heatmap showing the progression of the muscle involvement related to the distance covered in the 6MWT. Patients were divided into eight groups depending on the distance covered in the 6MWT for the analysis of the progression of muscle involvement. Muscles (columns) are ordered according to hierarchical clustering with increasing grading of muscle fatty transformation in T1-W imaging from the left to the right. The score of a muscle per group is indicated by the colour of the square. We obtained a pattern of the progression of the disease in muscles of the pelvis, thighs and lower legs related to the functional test 6MWT.

Heatmap showing the progression of the muscle involvement related to the distance covered in the 6MWT. Patients were divided into eight groups depending on the distance covered in the 6MWT for the analysis of the progression of muscle involvement. Muscles (columns) are ordered according to hierarchical clustering with increasing grading of muscle fatty transformation in T1-W imaging from the left to the right. The score of a muscle per group is indicated by the colour of the square. We obtained a pattern of the progression of the disease in muscles of the pelvis, thighs and lower legs related to the functional test 6MWT.

Discussion

We have characterised muscle involvement on MRI in a large and clinically heterogeneous cohort of patients with dysferlinopathy. This large cross-sectional cohort has permitted better characterisation of the pattern of muscle involvement in dysferlinopathy and improved our understanding of disease progression. This information will support both diagnostics and clinical trial development. We have defined a characteristic pattern of muscle involvement for dysferlinopathy, independent of the clinical phenotype. An early combination of fat replacement in distal posterior muscles of the lower limbs (gastrocnemius medialis and soleus) together with involvement of posterior muscles of the thighs (semimembranosus, semitendinosus, adductor major), pelvic muscles (tensor fascia latae and obturator externus), paraspinal muscles (multifidus, iliocostalis) and the scapular muscles (subscapularis and latissimus dorsi) can be helpful for differential diagnosis of patients with a muscle dystrophy and lead to an early diagnosis of dysferlinopathy. Moreover, some muscles are not involved until very late in the disease such as the levator scapulae, the rhomboideus the posterior muscles of the forearms, the gluteus maximus and medius muscles and the gracilis. This pattern of muscle involvement and sparing could be helpful for differential diagnosis by MRI in severely affected patients, in whom obtaining a muscle biopsy may be challenging. We confirmed that there are no differences in the pattern of muscle involvement between patients with LGMD-2B, MM or other phenotypic presentations.9–11 This suggests that these subtypes of dysferlinopathy are not truly different and that a unifying pathophysiology is likely, similar to findings in other muscle diseases, such as the laminopathies, where different mutations result in similar patterns of selective muscle pathology.17 Extensive MRI investigations, rather than clinical descriptions, are therefore more likely to be helpful in understanding the pathophysiology of disease or the role of genetic modifiers. As previously mentioned, some muscles were more involved in women than men. Although we do not have a clear explanation to explain this issue, it is well known that testosterone and estrogens influence skeletal muscle homeostasis and metabolism and probably have an effect on muscle wasting in muscle dystrophies.18 Exercise has been shown to be important for muscle size and metabolism, which may be a factor rather than gender here. The pattern of muscle involvement reported here can be considered characteristic for dysferlinopathy and contributes to differential diagnosis between other muscle diseases with limb girdle weakness. Patients with Becker muscular dystrophy tend to have early fatty replacement of the glutei medius and maximus while in contrast the adductor longus tends to be preserved until later stages.18 19 Muscle MRI scans of patients with LGMD-1B show no involvement of the vasti until later stages although the rectus femoris tends not to be affected and is often hypertrophic.17 20 Patients with LGMD-2A tend to have more severe involvement of the glutei and the vasti are less involved than the posterior muscles of the thighs.21 22 This pattern is similar in patients with LGMD-2I.23 Patients with sarcoglycanopathy, in whom there is usually no involvement of muscles of the lower legs before loss of ambulation, are easy to distinguish.24 Patients with adult-onset Pompe, which presents frequently with limb girdle weakness, have a muscle MRI pattern characterised by early involvement of axial, abdominal, gluteal and posterior thigh muscles, with the muscles of the lower legs not commonly involved.25 26 Patients with mutation in ANO5 (LGMD-2L) have a similar pattern of muscle involvement compared with patients with dysferlinopathy, with predominant involvement of the posterior muscles of the lower legs associated with involvement of posterior and anterior muscles of the thighs without involvement of the glutei. 27–29 However, some differences can be found: the gluteus minimus and medius seem more commonly involved in LGMD-2L than in LGMD-2B and asymmetric involvement is more pronounced in LGMD-2L than dysferlinopathy.26 28 Previous similar radiological studies in dysferlinopathy have been performed in lower limbs only and involved small cohorts.9–11 30 Although these studies describe some of the features found here, we have expanded the range of patients analysed, using data from patients of different ethnic origins at many different stages of the disease. We presented the pathology scores from T1-weighted images as heatmaps, as has been recently described for other muscle disorders.31 32 This is a new approach to display large amount of data, which simplifies the analysis of several variables. Following this method, we identified a clear correlation between disease duration and the degree of muscle involvement. This analysis raises interesting questions about factors affecting the rate of muscle degeneration. We showed that some muscles were involved early, while others were not involved until much later. In addition, while a group of muscles could become involved at the same time, the progression of fat replacement between muscles in a group could also vary. For example, in most patients, the gastrocnemius medialis becomes completely replaced by fat in less than 10 years from symptom onset, while the biceps femoris long head, while also involved in the first 10 years, remains minimally affected for longer. It is tempting to hypothesise that muscles with a slower progression could express proteins that protect them from rapid degeneration. Despite previous attempts to investigate this in dysferlinopathy, it is still not clear why muscle degeneration shows a different rate of progression.33 The clear understanding of the pattern of severely involved and spared muscles demonstrated here should allow for more focused investigations in the future. T1-weighted muscle MRI has traditionally been used for differential diagnosis of muscle diseases or to select a suitable muscle to biopsy.34 35 As the development of novel therapeutics for many muscular dystrophies progresses, there is a growing need for reliable biomarkers to follow-up patients.36 We have shown that muscle MRI findings correlate with the results of most functional tests that may be included in clinical trials (table 1), adding weight to its use as a biomarker. However, as dysferlinopathy is a slowly progressive disorder, changes from 1 year to the next are probably not significant enough to be detectable using semiquantitative T1w imaging. Quantitative sequences such as 3-point Dixon or T2-mapping should be more useful for patient follow-up in short-term longitudinal studies.37–39 However, the present study can inform longitudinal quantitative MRI studies regards which muscles to monitor at different stages of disease. This work is the result of a large international collaboration between different clinical and radiological groups to harmonise MRI protocols. However, although the study includes a high number of patients with different phenotypes and different disease stages, it has some obvious limitations. First, not all patients were studied with whole body muscle MRI due to technical limitations in some centres. Second, the MRI systems used were different, which can include some variability in the data obtained. Third, there are no data regarding Short-TI Inversion Recovery (STIR) results, but T2 imaging has been carried out and scans are currently under analysis. In summary, our study provides information about the distribution and degree of fat replacement of muscle tissue in the largest cohort of patients with dysferlinopathy analysed to date. The study has expanded the characterisation of patterns that can be found in patients with dysferlinopathy, regardless of their clinical phenotype. We have also shown a correlation between muscle pathology as detected by MRI with disease duration and the results of related functional tests, which will inform the design of future clinical trials.
  38 in total

1.  Development of a functional assessment scale for ambulatory boys with Duchenne muscular dystrophy.

Authors:  Elaine Scott; Michelle Eagle; Anna Mayhew; Jenny Freeman; Marion Main; Jennie Sheehan; Adnan Manzur; Francesco Muntoni
Journal:  Physiother Res Int       Date:  2011-09-23

Review 2.  Dysferlinopathies.

Authors:  Anthony A Amato; Robert H Brown
Journal:  Handb Clin Neurol       Date:  2011

3.  TREAT-NMD workshop: pattern recognition in genetic muscle diseases using muscle MRI: 25-26 February 2011, Rome, Italy.

Authors:  Volker Straub; Pierre G Carlier; Eugenio Mercuri
Journal:  Neuromuscul Disord       Date:  2012-10-01       Impact factor: 4.296

Review 4.  Stakeholder cooperation to overcome challenges in orphan medicine development: the example of Duchenne muscular dystrophy.

Authors:  Volker Straub; Pavel Balabanov; Kate Bushby; Monica Ensini; Nathalie Goemans; Annamaria De Luca; Alejandra Pereda; Robert Hemmings; Giles Campion; Edward Kaye; Virginia Arechavala-Gomeza; Aurelie Goyenvalle; Erik Niks; Olav Veldhuizen; Pat Furlong; Violeta Stoyanova-Beninska; Matthew J Wood; Alex Johnson; Eugenio Mercuri; Francesco Muntoni; Bruno Sepodes; Manuel Haas; Elizabeth Vroom; Annemieke Aartsma-Rus
Journal:  Lancet Neurol       Date:  2016-07       Impact factor: 44.182

5.  Clinical trial in Duchenne dystrophy. I. The design of the protocol.

Authors:  M H Brooke; R C Griggs; J R Mendell; G M Fenichel; J B Shumate; R J Pellegrino
Journal:  Muscle Nerve       Date:  1981 May-Jun       Impact factor: 3.217

6.  Distal anterior compartment myopathy: a dysferlin mutation causing a new muscular dystrophy phenotype.

Authors:  I Illa; C Serrano-Munuera; E Gallardo; A Lasa; R Rojas-García; J Palmer; P Gallano; M Baiget; C Matsuda; R H Brown
Journal:  Ann Neurol       Date:  2001-01       Impact factor: 10.422

7.  ACTIVLIM: a Rasch-built measure of activity limitations in children and adults with neuromuscular disorders.

Authors:  Laure Vandervelde; Peter Y K Van den Bergh; Nathalie Goemans; Jean-Louis Thonnard
Journal:  Neuromuscul Disord       Date:  2007-04-11       Impact factor: 4.296

8.  Asymptomatic sporadic dysferlinopathy presenting with elevation of serum creatine kinase. Typical distribution of muscle involvement shown by MRI but not by CT.

Authors:  Satomi Okahashi; Go Ogawa; Mikiya Suzuki; Katsuhisa Ogata; Ichizo Nishino; Mitsuru Kawai
Journal:  Intern Med       Date:  2008-02-15       Impact factor: 1.271

9.  Pattern of skeletal muscle involvement in primary dysferlinopathies: a whole-body 3.0-T magnetic resonance imaging study.

Authors:  K Kesper; C Kornblum; J Reimann; G Lutterbey; R Schröder; M P Wattjes
Journal:  Acta Neurol Scand       Date:  2008-12-22       Impact factor: 3.209

10.  Dysferlin, a novel skeletal muscle gene, is mutated in Miyoshi myopathy and limb girdle muscular dystrophy.

Authors:  J Liu; M Aoki; I Illa; C Wu; M Fardeau; C Angelini; C Serrano; J A Urtizberea; F Hentati; M B Hamida; S Bohlega; E J Culper; A A Amato; K Bossie; J Oeltjen; K Bejaoui; D McKenna-Yasek; B A Hosler; E Schurr; K Arahata; P J de Jong; R H Brown
Journal:  Nat Genet       Date:  1998-09       Impact factor: 38.330

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  16 in total

1.  European muscle MRI study in limb girdle muscular dystrophy type R1/2A (LGMDR1/LGMD2A).

Authors:  Andrea Barp; Pascal Laforet; Luca Bello; Giorgio Tasca; John Vissing; Mauro Monforte; Enzo Ricci; Ariane Choumert; Tanya Stojkovic; Edoardo Malfatti; Elena Pegoraro; Claudio Semplicini; Roberto Stramare; Olivier Scheidegger; Jana Haberlova; Volker Straub; Chiara Marini-Bettolo; Nicoline Løkken; Jordi Diaz-Manera; Jon A Urtizberea; Eugenio Mercuri; Martin Kynčl; Maggie C Walter; Robert Y Carlier
Journal:  J Neurol       Date:  2019-09-25       Impact factor: 4.849

2.  Dysferlin deficiency alters lipid metabolism and remodels the skeletal muscle lipidome in mice.

Authors:  Vanessa R Haynes; Stacey N Keenan; Jackie Bayliss; Erin M Lloyd; Peter J Meikle; Miranda D Grounds; Matthew J Watt
Journal:  J Lipid Res       Date:  2019-06-15       Impact factor: 5.922

Review 3.  Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2019-05-14       Impact factor: 3.217

Review 4.  MR imaging of inherited myopathies: a review and proposal of imaging algorithms.

Authors:  Laís Uyeda Aivazoglou; Julio Brandão Guimarães; Thomas M Link; Maria Alice Freitas Costa; Fabiano Nassar Cardoso; Bruno de Mattos Lombardi Badia; Igor Braga Farias; Wladimir Bocca Vieira de Rezende Pinto; Paulo Victor Sgobbi de Souza; Acary Souza Bulle Oliveira; Alzira Alves de Siqueira Carvalho; André Yui Aihara; Artur da Rocha Corrêa Fernandes
Journal:  Eur Radiol       Date:  2021-04-21       Impact factor: 5.315

5.  Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases.

Authors:  Harmen Reyngoudt; Benjamin Marty; Jean-Marc Boisserie; Julien Le Louër; Cedi Koumako; Pierre-Yves Baudin; Brenda Wong; Tanya Stojkovic; Anthony Béhin; Teresa Gidaro; Yves Allenbach; Olivier Benveniste; Laurent Servais; Pierre G Carlier
Journal:  Eur Radiol       Date:  2020-11-21       Impact factor: 5.315

6.  POGLUT1 biallelic mutations cause myopathy with reduced satellite cells, α-dystroglycan hypoglycosylation and a distinctive radiological pattern.

Authors:  E Servián-Morilla; M Cabrera-Serrano; K Johnson; A Pandey; A Ito; E Rivas; T Chamova; N Muelas; T Mongini; S Nafissi; K G Claeys; R P Grewal; M Takeuchi; H Hao; C Bönnemann; O Lopes Abath Neto; L Medne; J Brandsema; A Töpf; A Taneva; J J Vilchez; I Tournev; R S Haltiwanger; H Takeuchi; H Jafar-Nejad; V Straub; Carmen Paradas
Journal:  Acta Neuropathol       Date:  2020-01-03       Impact factor: 17.088

7.  Insights into lipid accumulation in skeletal muscle in dysferlin-deficient mice.

Authors:  Anil K Agarwal; Katie Tunison; Matthew A Mitsche; Jeffrey G McDonald; Abhimanyu Garg
Journal:  J Lipid Res       Date:  2019-10-25       Impact factor: 5.922

8.  Clinical, Neurophysiological, Radiological, Pathological, and Genetic Features of Dysferlinopathy in Saudi Arabia.

Authors:  Norah Alharbi; Rawan Matar; Edward Cupler; Hindi Al-Hindi; Hatem Murad; Iftteah Alhomud; Dorota Monies; Ali Alshehri; Mossaed Alyahya; Brian Meyer; Saeed Bohlega
Journal:  Front Neurosci       Date:  2022-02-22       Impact factor: 4.677

9.  Muscle MRI characteristic pattern for late-onset TK2 deficiency diagnosis.

Authors:  Cristina Domínguez-González; Roberto Fernández-Torrón; Ursula Moore; Carlos Pablo de Fuenmayor-Fernández de la Hoz; Beatriz Vélez-Gómez; Juan Antonio Cabezas; Jorge Alonso-Pérez; Laura González-Mera; Montse Olivé; Jorge García-García; Germán Moris; Juan Carlos León Hernández; Nuria Muelas; Emilia Servian-Morilla; Miguel A Martin; Jordi Díaz-Manera; Carmen Paradas
Journal:  J Neurol       Date:  2022-03-14       Impact factor: 6.682

10.  Platelet Derived Growth Factor-AA Correlates With Muscle Function Tests and Quantitative Muscle Magnetic Resonance in Dystrophinopathies.

Authors:  Alicia Alonso-Jiménez; Esther Fernández-Simón; Daniel Natera-de Benito; Carlos Ortez; Carme García; Elena Montiel; Izaskun Belmonte; Irene Pedrosa; Sonia Segovia; Patricia Piñol-Jurado; Ana Carrasco-Rozas; Xavier Suárez-Calvet; Cecilia Jimenez-Mallebrera; Andrés Nascimento; Jaume Llauger; Claudia Nuñez-Peralta; Paula Montesinos; Jorge Alonso-Pérez; Eduard Gallardo; Isabel Illa; Jordi Díaz-Manera
Journal:  Front Neurol       Date:  2021-06-11       Impact factor: 4.003

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