- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06599606
Ultrasonographic Muscle Assessment and Functional Scales in Spinal Muscular Atrophy
Investigation of the Relationship Between Ultrasonographic Muscle Thickness Measurement and Echogenicity Assessment with Functional Scales in Patients with Spinal Muscular Atrophy: an Observational, Cross-Sectional, Case-Control Study
Study Overview
Status
Intervention / Treatment
Detailed Description
Spinal muscular atrophy (SMA) is a neuromuscular disorder that typically leads to progressive lower motor neuron loss from early childhood. The most common form is caused by deletions in the survival motor neuron 1 (SMN1) gene, inherited in an autosomal recessive manner. SMA is classified into at least three subtypes based on the age of onset and the level of motor development achieved. In Type 1 SMA (severe form), symptoms usually appear before 6 months of age, and children are unable to sit unsupported. In Type 2 SMA (intermediate form), symptoms start between 6 and 18 months, and children cannot walk unsupported. Type 3 SMA (mild form) presents after the second year of life, and affected children can walk unsupported. Although the exact prevalence and carrier rates of SMA in our country are not fully determined, it is estimated that there are between 130 and 180 new cases annually, given approximately 1,200,000 live births each year. The total number of SMA patients in the country is about 3,000.
Despite current treatments, muscle weakness and significant functional loss affecting quality of life are commonly observed in SMA patients. At present, the efficacy of SMA treatment is measured through clinical assessment, including monitoring of changes in motor developmental milestones and functional scales. However, the lack of objective biomarkers that are less reliant on patient cooperation, as opposed to functional scales, complicates monitoring treatment response for patients. Establishing reliable methods to assess disease progression and treatment response is crucial for conducting robust clinical studies.
Musculoskeletal ultrasonography presents itself as a suitable imaging modality for use as a biomarker in SMA management due to its non-invasiveness, repeatability, absence of radiation, ability to evaluate multiple muscles quickly, and ease of application. Furthermore, the feasibility of performing ultrasonographic examinations at the bedside facilitates access to a larger number of patients, especially those with limited mobility or requiring respiratory support. Previous literature has reported the advantages of muscle ultrasonography in evaluating neuromuscular disorders, including SMA.
In conclusion, this study, which will investigate the relationship between ultrasonographic muscle thickness measurement and echogenicity evaluation and functional scales in patients diagnosed with SMA for the first time in our country, will guide physicians and researchers seeking to assess disease progression, determine treatment efficacy, and develop rehabilitation strategies.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
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Istanbul, Turkey, 34098
- Istanbul University - Cerrahpasa (IUC)
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age between 0-18 years
- Confirmed diagnosis of SMA through genetic testing
- Having received four loading doses of nusinersen
- Written consent provided for participation in the study
Exclusion Criteria:
- History of surgical operation or trauma in the muscles to be examined
- Presence of spasticity that complicates positioning of the extremities and hinders ultrasound imaging
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Case
Patients diagnosed with spinal muscular atrophy (SMA) who have received at least four loading doses of nusinersen
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A researcher will perform all ultrasonographic measurements using the ESAOTE My Lab 70 model ultrasound device with a 4-13 MHz linear probe.
System settings will be kept constant throughout each study, and all images will be obtained using this single ultrasound device.
Only the depth will be adjusted to optimally assess the relevant muscle.
The muscle thickness measurement protocol with ultrasound includes four muscles on the dominant side of each child: two proximal upper and lower extremity muscles (biceps brachii/brachialis and quadriceps) and two distal upper and lower extremity muscles (forearm flexors and tibialis anterior).
In the assessment of muscle echogenicity, images will be transferred to ImageJ software to calculate luminance ratios (LR).
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Control
Healthy, age- and sex-matched control individuals
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A researcher will perform all ultrasonographic measurements using the ESAOTE My Lab 70 model ultrasound device with a 4-13 MHz linear probe.
System settings will be kept constant throughout each study, and all images will be obtained using this single ultrasound device.
Only the depth will be adjusted to optimally assess the relevant muscle.
The muscle thickness measurement protocol with ultrasound includes four muscles on the dominant side of each child: two proximal upper and lower extremity muscles (biceps brachii/brachialis and quadriceps) and two distal upper and lower extremity muscles (forearm flexors and tibialis anterior).
In the assessment of muscle echogenicity, images will be transferred to ImageJ software to calculate luminance ratios (LR).
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Muscle Thickness Measurement
Time Frame: Baseline
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Muscle thickness in specific muscle groups will be assessed using ultrasonography.
Measurements will include biceps brachii/brachialis, quadriceps, forearm flexors, and tibialis anterior.
Thickness will be measured at predetermined anatomical sites using electronic calipers.
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Baseline
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Muscle Echogenicity Assessment
Time Frame: Baseline
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Muscle echogenicity will be assessed by calculating luminance ratios (LR) from ultrasonographic images.
Luminance ratios will be calculated for the target muscle groups (biceps brachii/brachialis, quadriceps, forearm flexors, tibialis anterior, triceps, proximal hamstrings, gastrosoleus) and compared to subcutaneous tissue.
This will involve measuring and analyzing images using ImageJ software.
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Baseline
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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CHOP-INTEND
Time Frame: Baseline
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CHOP-INTEND (Childrens Hospital of Philadelphia Infant Test of Neuromuscular Disorders) is a clinical scale designed to assess the motor function of infants with type 1 SMA or other types of SMA who cannot sit unsupported.
This scale comprises 16 items that focus on evaluating the infant's movements, posture, and reflexes.
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Baseline
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HFMSE
Time Frame: Baseline
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HFMSE (Hammersmith Functional Motor Scale-Expanded) is a scale used to assess motor skills in patients with type 2 and type 3 SMA who can sit unsupported.
It consists of 33 items that score various movements, including sitting, rolling in a prone position, lifting the head in a prone position, rising, kneeling, standing, walking, jumping, and climbing stairs.
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Baseline
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RULM
Time Frame: Baseline
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RULM (Revised Upper Limb Module) is a scale designed to assess functional abilities in the upper extremities of SMA patients.
The scale includes an entry item to determine functional levels and consists of 19 items covering both distal and proximal movements.
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Baseline
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Collaborators and Investigators
Publications and helpful links
General Publications
- Pillen S, Arts IM, Zwarts MJ. Muscle ultrasound in neuromuscular disorders. Muscle Nerve. 2008 Jun;37(6):679-93. doi: 10.1002/mus.21015.
- Kolb SJ, Kissel JT. Spinal Muscular Atrophy. Neurol Clin. 2015 Nov;33(4):831-46. doi: 10.1016/j.ncl.2015.07.004.
- Hodgkinson VL, Oskoui M, Lounsberry J, M'Dahoma S, Butler E, Campbell C, MacKenzie A, McMillan HJ, Simard L, Vajsar J, Brais B, Chapman KM, Chrestian N, Crone M, Dobrowolski P, Dojeiji S, Dowling JJ, Dupre N, Genge A, Gonorazky H, Hasal S, Izenberg A, Johnston W, Leung E, Lochmuller H, Mah JK, Marerro A, Massie R, McAdam L, McCormick A, Melanson M, Mezei MM, Nguyen CE, O'Connell C, O'Ferrall EK, Pfeffer G, Phan C, Plamondon S, Poulin C, Rodrigue X, Schellenberg KL, Selby K, Sheriko J, Shoesmith C, Smith G, Taillon M, Taylor S, Warman Chardon J, Worley S, Korngut L. A National Spinal Muscular Atrophy Registry for Real-World Evidence. Can J Neurol Sci. 2020 Nov;47(6):810-815. doi: 10.1017/cjn.2020.111. Epub 2020 Jun 4.
- Nakamura R, Kitamura A, Tsukamoto T, Otowa Y, Okamoto N, Ogawa N, Yamakawa I, Kim H, Sanada M, Urushitani M. Spinal Muscular Atrophy Type 3 Showing a Specific Pattern of Selective Vulnerability on Muscle Ultrasound. Intern Med. 2021 Jun 15;60(12):1935-1939. doi: 10.2169/internalmedicine.6396-20. Epub 2021 Jan 15.
- Coratti G, Carmela Pera M, Montes J, Scoto M, Pasternak A, Bovis F, Sframeli M, D'Amico A, Pane M, Albamonte E, Antonaci L, Lia Frongia A, Mizzoni I, Sansone VA, Russo M, Bruno C, Baranello G, Messina S, Dunaway Young S, Glanzman AM, Duong T, de Sanctis R, Stacy Mazzone E, Milev E, Rohwer A, Civitello M, Darras BT, Bertini E, Day J, Muntoni F, De Vivo DC, Finkel RS, Mercuri E. Revised upper limb module in type II and III spinal muscular atrophy: 24-month changes. Neuromuscul Disord. 2022 Jan;32(1):36-42. doi: 10.1016/j.nmd.2021.10.009. Epub 2021 Nov 7.
- Moreira AL, Mendonca RH, Polido GJ, Oliveira MCB, Silva AMS, Zanoteli E. Muscle Ultrasound Changes Correlate With Functional Impairment in Spinal Muscular Atrophy. Ultrasound Med Biol. 2023 Jul;49(7):1569-1574. doi: 10.1016/j.ultrasmedbio.2023.02.021. Epub 2023 Apr 8.
- Ng KW, Connolly AM, Zaidman CM. Quantitative muscle ultrasound measures rapid declines over time in children with SMA type 1. J Neurol Sci. 2015 Nov 15;358(1-2):178-82. doi: 10.1016/j.jns.2015.08.1532. Epub 2015 Aug 28.
- Wu JS, Darras BT, Rutkove SB. Assessing spinal muscular atrophy with quantitative ultrasound. Neurology. 2010 Aug 10;75(6):526-31. doi: 10.1212/WNL.0b013e3181eccf8f.
- Abraham A, Drory VE, Fainmesser Y, Algom AA, Lovblom LE, Bril V. Muscle thickness measured by ultrasound is reduced in neuromuscular disorders and correlates with clinical and electrophysiological findings. Muscle Nerve. 2019 Dec;60(6):687-692. doi: 10.1002/mus.26693. Epub 2019 Sep 10.
- Mah JK, van Alfen N. Neuromuscular Ultrasound: Clinical Applications and Diagnostic Values. Can J Neurol Sci. 2018 Nov;45(6):605-619. doi: 10.1017/cjn.2018.314.
- Heckmatt JZ, Pier N, Dubowitz V. Real-time ultrasound imaging of muscles. Muscle Nerve. 1988 Jan;11(1):56-65. doi: 10.1002/mus.880110110.
- Antonaci L, Pera MC, Mercuri E. New therapies for spinal muscular atrophy: where we stand and what is next. Eur J Pediatr. 2023 Jul;182(7):2935-2942. doi: 10.1007/s00431-023-04883-8. Epub 2023 Apr 17.
- Pane M, Palermo C, Messina S, Sansone VA, Bruno C, Catteruccia M, Sframeli M, Albamonte E, Pedemonte M, D'Amico A, Brigati G, de Sanctis R, Coratti G, Lucibello S, Bertini E, Vita G, Danilo Tiziano F, Mercuri E; Italian EAP Working Group. An observational study of functional abilities in infants, children, and adults with type 1 SMA. Neurology. 2018 Aug 21;91(8):e696-e703. doi: 10.1212/WNL.0000000000006050. Epub 2018 Jul 25.
- De Sanctis R, Coratti G, Pasternak A, Montes J, Pane M, Mazzone ES, Young SD, Salazar R, Quigley J, Pera MC, Antonaci L, Lapenta L, Glanzman AM, Tiziano D, Muntoni F, Darras BT, De Vivo DC, Finkel R, Mercuri E. Developmental milestones in type I spinal muscular atrophy. Neuromuscul Disord. 2016 Nov;26(11):754-759. doi: 10.1016/j.nmd.2016.10.002. Epub 2016 Oct 5.
- Chabanon A, Seferian AM, Daron A, Pereon Y, Cances C, Vuillerot C, De Waele L, Cuisset JM, Laugel V, Schara U, Gidaro T, Gilabert S, Hogrel JY, Baudin PY, Carlier P, Fournier E, Lowes LP, Hellbach N, Seabrook T, Toledano E, Annoussamy M, Servais L; NatHis-SMA study group. Prospective and longitudinal natural history study of patients with Type 2 and 3 spinal muscular atrophy: Baseline data NatHis-SMA study. PLoS One. 2018 Jul 26;13(7):e0201004. doi: 10.1371/journal.pone.0201004. eCollection 2018.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- IstanbulUC-EAygun-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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