Literature DB >> 31406480

Clinical and research applications of neuromuscular ultrasound in amyotrophic lateral sclerosis.

Stephanie L Barnes1,2, Neil G Simon3.   

Abstract

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder characterized by dysfunction at multiple levels of the neuraxis. It remains a clinical diagnosis without a definitive diagnostic investigation. Electrodiagnostic testing provides supportive information and, along with imaging and biochemical markers, can help exclude mimicking conditions. Neuromuscular ultrasound has a valuable role in the diagnosis and monitoring of ALS and provides complementary information to clinical assessment and electrodiagnostic testing as well as insights into the underlying pathophysiology of this disease. This review highlights the evidence for ultrasound in the evaluation of bulbar, limb and respiratory musculature and peripheral nerves in ALS. Further research in this evolving area is required.

Entities:  

Keywords:  amyotrophic lateral sclerosis; biomarker; clinical neurophysiology; clinical trials; ultrasound

Year:  2019        PMID: 31406480      PMCID: PMC6642653          DOI: 10.2147/DNND.S215318

Source DB:  PubMed          Journal:  Degener Neurol Neuromuscul Dis        ISSN: 1179-9900


Introduction

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder affecting both upper and lower motor neurons that is inexorably progressive and universally fatal. Variability of clinical features, particularly early in the course of the disease, and the lack of a definitive biomarker may make diagnosis of ALS challenging. The revised El Escorial criteria1,2 define the need for evidence of lower and upper motor neuron degeneration with progressive spread of symptoms or signs within or between body regions. Electrodiagnostic testing can provide supportive evidence, as described in the Awaji criteria,3 which increases the sensitivity of diagnosis without reducing the specificity.4,5 This, and other forms of diagnostic testing, such as neuroimaging, serology and cerebrospinal fluid (CSF) analysis, remain important to exclude potential mimicking conditions. The sonographic characteristics of ALS Abbreviations: MUS, muscle ultrasonography; ALS, amyotrophic lateral sclerosis; EI, echo intensity; EV, echovariation; GLCM, gray-level co-occurrence matrix. Transverse ultrasound appearance of the first dorsal interosseous. Unlike in a normal subject (A), the muscle has a streaky heterogeneous appearance with increased EI in an ALS patient (B). Abbreviations: EI, echo intensity; ALS, amyotrophic lateral sclerosis. Diaphragm thickness at the point of full inspiration. In a normal subject (A) the diaphragm (+) thickens on inspiration. In a patient with ALS (B), the diaphragm (+) is atrophic and there is minimal thickening on inspiration. Abbreviation: ALS, amyotrophic lateral sclerosis. CSA of the median nerve in the forearm. (A) The median nerve (solid line) in cross section in the forearm in a patient with CIDP. There is hypertrophy of individual nerve fascicles. (B) The normal cross-sectional appearance of the median nerve (solid line). Abbreviations: CSA, cross-sectional area; CIDP, chronic inflammatory demyelinating polyneuropathy. Neuromuscular ultrasound has an evolving role in the assessment of patients with ALS (Table 1). It is a readily accessible, noninvasive modality that can be used across multiple regions of the body to provide important information to support a diagnosis of ALS. It has potential roles in structural assessment and dynamic evaluation of bulbar, limb and respiratory musculature as well as peripheral nerves, which currently complements conventional testing modalities in these areas. It is also ideally placed to be used in a serial fashion to monitor disease progression without concerns about radiation exposure. Neuromuscular ultrasound therefore has great potential to facilitate early diagnosis, exclude mimicking disorders and monitor progression of disease. Its use in a clinical trial setting is particularly promising to increase confidence in the underlying diagnosis of “ALSpatients and monitor response to novel treatments.
Table 1

The sonographic characteristics of ALS

MUS parameterWhat does it measure?Key findings in ALS
Fasciculations
Large areas of muscle screened for fasciculations in real time.Frequent and widespread fasciculations. Predominant in upper limb and proximal muscle groups.
Muscle thickness
Distance measurement between muscle membranes (two dimensional) or volume derived from a conical model of muscle (three dimensional).Decreased as muscle fibers atrophy.
EI
The brightness of the ultrasound signature. A product of ultrasound waves reflected off tissues with different acoustical properties.Increased due to replacement of denervated muscle fibers with intramuscular fibrous and fatty tissue.
EV
The range of brightness seen. May be homogeneous or heterogeneousDecreased as muscle tissue becomes increasingly homogeneous due to fibro-fatty replacement.
GLCM parameters
The relationship between intensity of adjacent pixels.Reduced granularity as muscle homogeneity increases.
Elastography
Muscle stiffness via either external pressure (strain) or generation of shear waves.Increased stiffness due to fibro-fatty replacement.

Abbreviations: MUS, muscle ultrasonography; ALS, amyotrophic lateral sclerosis; EI, echo intensity; EV, echovariation; GLCM, gray-level co-occurrence matrix.

Muscle ultrasound

Muscle ultrasonography (MUS) is the most well established application of ultrasound in ALS cohorts. It is a particularly useful technique for screening for abnormalities in large muscle regions across multiple body segments relevant to ALS diagnosis. This includes the detection of fasciculations, muscle atrophy and structural changes such as increase in muscle echogenicity and other textural parameters (Figure 1).
Figure 1

Transverse ultrasound appearance of the first dorsal interosseous. Unlike in a normal subject (A), the muscle has a streaky heterogeneous appearance with increased EI in an ALS patient (B).

Abbreviations: EI, echo intensity; ALS, amyotrophic lateral sclerosis.

Fasciculations

The role of MUS in the detection of fasciculations in ALS has been clearly demonstrated. This is of diagnostic significance in ALS now that fasciculations are included in the Awaji criteria as evidence of active denervation and are of similar weighting to muscle fibrillations on electromyography (EMG) to support diagnosis, in addition to signs of motor unit loss and reinnervation.6–10 Fasciculations are a marker of denervation,3 which occurs prior to development of muscle weakness detectable on manual examination,11,12 and can be identified even in clinically unaffected muscles.6 Fasciculations may thereby act as a useful marker in ALS with several studies suggesting these as the first sign of disease and an indicator of spread of ALS to uninvolved body regions.13,14 MUS is more sensitive than EMG or visual inspection in detecting fasciculations, increasing identification from 88% to 98%.9 MUS provides a sensitive and reproducible screening tool for subclinical regional lower motor neuron (LMN) dysfunction, including in cranial muscles.6,8,15–18 Optimal scan time is 30 seconds in most muscles and 60 seconds in first dorsal interosseous.19 Using MUS and EMG in combination significantly increases the diagnostic sensitivity for ALS using the Awaji criteria, giving 25% of patients greater diagnostic certainty, likely because MUS enables assessment of a larger area of muscle, including deeper muscle layers, compared to EMG.7,9,16 It also has a potential role in guiding choice of muscles for EMG, reducing the number of muscles examined and increasing diagnostic yield.20,21 This is a particularly useful technique in evaluation of the tongue because it allows screening of large areas of muscle and is not influenced by lack of muscle relaxation in response to (or anticipation of) painful needle examination.6 Fasciculations can be readily distinguished from artefacts based on visual assessment of MUS and the technique is easily learnt with high inter-rater agreement.17,22 The pattern of fasciculations, predominant in upper limb and proximal muscle groups, can be identified with MUS and is specific for ALS diagnosis.23,24 Harding et al25 have also demonstrated high accuracy in identifying fasciculations using computational analysis, which would have particular value as an objective measure in clinical trials and to assist less experienced sonographers. MUS can be used to characterize fasciculation potentials, assess firing rate and, in conjunction with measures of cortical silent period, demonstrate central influences on fasciculation frequency.26 However, MUS still remains potentially inferior to EMG in assessing the complexity of fasciculation potentials, which would provide further support for ALS diagnosis in the Awaji criteria.27,28 Fasciculation analysis with MUS also has a potential role in excluding differential diagnoses in possible ALS cases. Arts et al15 demonstrated the diagnostic utility of MUS in differentiating ALS from mimicking disorders with 96% sensitivity and 84% specificity. However, mimics that are hardest to distinguish from ALS such as multifocal motor neuropathy (MMN) and peripheral nerve hyperexcitability syndromes (PNHS) were not included in their prospective sample. Grimm et al6 confirmed these findings and included relevant mimicking disorders, specifically axonal polyneuropathy, myasthenia gravis, cervical myelopathy, cramps, inclusion body myositis, Kennedy syndrome, spinal muscular atrophy, polymyositis, plexus neuritis and MMN, although numbers of patient with each alternative diagnosis were small. The pattern and distribution of fasciculations and number of muscles involved is highly sensitive and specific in differentiating ALS from mimics, and fasciculations are less prominent in advanced disease.16,18 A MUS fasciculation score has been devised to facilitate diagnosis.24 When used in concert with measures of cortical hyperexcitability, fasciculation intensity, that is, the number of fasciculations occurring in 60 seconds, can also provide important prognostic information on rate of disease progression.29 MUS can also assist in distinguishing ALS from benign fasciculation syndromes due to the predominantly distal distribution of fasciculations in the latter disorders.30 MUS has shown fasciculations to be more widespread and frequent in ALS than in PNHS, which can be an important diagnostic differentiator.26 There is some evidence that this reflects central influences (ie cortical hyperexcitability) on fasciculations occurring in ALS.23,31,32 Detection of fibrillation potentials with high resolution MUS has also been described,6,33,34 although EMG remains the more sensitive modality.6 Fasciculation assessment and monitoring may also have relevance in treatment and prognostication. Vazquez-Costa et al23 showed an association between fasciculation number and reduced body mass index (BMI), which is known to be a poor prognostic marker. Treatment options which reduce fasciculation frequency may therefore improve prognosis. Indeed higher riluzole levels in serum correlate with reduced fasciculation intensity.35 Quantification of fasciculations may also be relevant to disease monitoring as fasciculation number inversely correlates with disability, likely related to attrition of hyperexcitable motor units as ALS progresses.23 MUS therefore acts as a complementary technique to EMG in identifying fasciculations as an early marker of LMN dysfunction. It also has an important role as a diagnostic tool and can facilitate differentiation of ALS from mimicking disorders.

Structural assessment of muscle

Muscle atrophy, an expected finding in ALS, can also be clearly demonstrated with MUS (Figure 1).10,36 Decreased muscle thickness, even in early phase disease, has been demonstrated. However, it is important to recognize that compensatory reinnervation may facilitate maintenance of muscle size at least initially.10,37 Significant variability in muscle thickness across muscle groups has been observed, which fits with the patchy nature of ALS pathology.10 MUS is ideal for screening multiple anatomic sites for abnormality. This was utilized by Pathak et al38 who surveyed a series of muscles of relevance in ALS and demonstrated a mean 20.25% decrease in muscle thickness over a six-month period in an ALS cohort. However, thinning in only certain muscles correlated with ALS Functional Rating Scale—Revised (ALSFRS-R)39 and/or forced vital capacity (FVC) scores, likely related to the impacts of upper motor neuron (UMN) dysfunction on clinical scoring measures and also compensatory use or hypertrophy of muscles to compensate for paretic ones.38 Given the evolution of changes in muscle thickness over time, this also has a potential role as a marker of disease progression. Appropriate muscles for monitoring could be selected depending on the site of ALS onset.38 Multiple potential technical issues were identified in measuring muscle thickness including mild discrepancies of transducer position or pressure on muscle that can significantly affect results. In addition, changes in muscle echogenicity and heterogeneity that develop with ALS progression could impair visualization of reference points for transducer positioning. MUS can demonstrate morphological changes in the muscle structure, specifically quantitative changes in muscle echo intensity (EI), echovariation (EV) and gray-level co-occurrence matrix (GLCM) parameters (Figure 1). EI, the brightness of the ultrasound image, is a product of ultrasound waves reflected off interfaces between tissues with different acoustical impedance. EV measures the range of brightness seen, which may be homogeneous or heterogeneous, and GLCM parameters assess the relationship between intensity of adjacent pixels, as described by Martinez-Paya et al.40 Increased muscle EI occurs as ALS progresses due to replacement of denervated muscle fibers with intramuscular fibrous and fatty tissue, and is evident even prior to development of clinical weakness.6,10,12,37,41 A clinicopathologic correlation study42 identified increased intramuscular fibrous tissue as the primary determinant of increased muscle EI in ALS. EI tends to be more abnormal than muscle thickness and so may act as a better measure of muscle pathology.10 EI measures can also be used to predict survival,43 with even higher predictive value when used in conjunction with ALSFRS-R, which is known to correlate with survival.44,45 EI of the thenar and hypothenar muscles, characteristically preferentially affected in ALS causing dissociated small hand muscle atrophy, can be used to create a compound measure, the split hand index, which has value as a potentially objective diagnostic marker with greater diagnostic accuracy than electrodiagnostic measures.46 EI of individual muscles could not differentiate ALS from mimics, rather the relative difference in atrophy between medial and lateral hand muscles was most significant, which also correlated with disease severity based on ALSFRS-R score.46 EI, in combination with muscle thickness, has also been demonstrated as a reliable and reproducible indicator of denervation in hand muscles.47 The reliability of EI, however, can be problematic due to both technical factors such as anisotropy resulting from minor changes in transducer angle47,48 and lack of consistency between ultrasound systems.15,47 Evaluation of EI can be facilitated by quantitative computer-based analysis, which minimizes variability in assessment based on examiner experience, ultrasound machine settings and is more sensitive than visual analysis.49,50 However, the argument against using these intrinsic muscle properties as markers is that they require time-consuming offline image analysis.38 Muscle textural parameters also have characteristic features in ALS patients. EV, a marker of tissue homogeneity, has been shown to decrease in ALS-affected muscles and strongly correlates with muscle strength and ALSFRS-R score.37 It is proposed as a more reliable ALS marker than muscle thickness or EI because it is unaffected by non-disease factors such as age, exhibits less interindividual variability and is not observed in other neuromuscular diseases, although ALS mimics were not included in this study.37,50 GLCM parameters demonstrate reduced granularity in ALS-affected muscles compared to controls, which can be used in combination with other quantitative MUS variables to increase diagnostic accuracy in ALS.40 Besides assessment of the echotexture of muscle, MUS may also provide information about its biophysical properties through ultrasound elastography applications. Elastography measures the extent of tissue deformation from an externally applied force and provides information about the mechanical properties of muscle. In ALS, increased muscle stiffness is seen, as expected due to progressive muscle infiltration with fibro-fatty tissue.42,51 Strain elastography involves application of a mechanical stimulus, for example, pressure to the tissue applied by the examiner, but the utility of this technique is limited by lack of standardization.51 Shear wave elastography measures speed of propagation of shear waves through tissue to provide an absolute measurement of tissue stiffness that is operator-independent, reproducible and more reliable that strain elastography.52,53 It has not yet been used to investigate changes in ALS but several studies in other neurological disorders such as cerebral palsy54 and Duchenne muscular dystrophy55 demonstrate its potential in this area.

Disease progression

MUS has also been investigated as a marker of disease progression in ALS with variable results.56 Consistent changes across multiple parameters with disease progression have been recorded by some57,58 but not others.40,43,57 Further study is required with larger longitudinal samples. Multiple MUS parameters have been identified which can provide supportive information in ALS diagnosis. MUS can be used to screen large areas of muscle across multiple body regions and also to guide electrodiagnostic examination. Sonographic abnormalities may be evident in muscles with preserved strength, enabling demonstration of additional body regions subclinically involved in the underlying disease process, which can also facilitate accurate diagnosis of ALS in limited disease presentations. MUS parameters may also be relevant in monitoring disease progression. Real-time MUS in the neurophysiology clinic therefore has a role in the diagnosis and monitoring of the disease.

Diaphragm ultrasound

Respiratory dysfunction eventually occurs in all ALS patients, often leading to neuromuscular respiratory failure as a cause of death.59 This can be due to a combination of factors including weakness of respiratory and bulbar muscles and abnormalities of central respiratory control, potentially exacerbated by intercurrent respiratory tract infection or aspiration.60,61 Monitoring for respiratory dysfunction is essential because it has implications for prognosis and also plays a role in therapeutic decision-making since interventions such as noninvasive ventilation may improve life expectancy and quality of life.59,62,63 Current measures of respiratory function assessment include pulmonary function tests (PFTs), electrodiagnostic measures and arterial blood gas (ABG) analysis, although ABGs are not routinely used in the setting of ALS. PFTs are the gold standard to evaluate development of respiratory muscle weakness. However the value of conventional PFTs may be limited due to mechanical factors in the setting of significant facial and/or bulbar muscle weakness64 and due to lack of cooperation or volition where there is comorbid depression or cognitive impairment.65 Electrodiagnostic evaluation of the diaphragm is occasionally used. Phrenic nerve conduction studies correlate with other respiratory function measures,66 however, care must be taken to standardize electrode position and respiratory phase during stimulation.67 Needle EMG of the diaphragm may also have a role in demonstrating early subclinical respiratory muscle dysfunction in ALS68 and is the definitive test to detect diaphragmatic paralysis. However, electrodiagnostic testing of the diaphragm is mildly invasive, may be technically challenging, carries a risk of complications, particularly pneumothorax, and is prone to large interindividual differences.69 Involvement of respiratory musculature in ALS, specifically the diaphragm, can be assessed using dynamic muscle ultrasound. The diaphragm can be clearly identified using ultrasound with minimal interobserver variability in its assessment (Figure 2).70 Several studies have shown a relationship between dynamic diaphragm thickness and respiratory function in ALS patients, specifically a positive correlation with impaired vital capacity and inverse correlation with pCO2, indicating atrophy and impaired diaphragmatic contractility in those patients with hypoventilation.70–74 Dynamic diaphragm thickness also correlated with functional assessments in ALS using the ALSFRS-R.71 Diaphragm thickness also significantly correlates with FVC and compound muscle action potential (CMAP) amplitude on phrenic nerve stimulation, which suggests it reflects the number of functional motor units in the diaphragm of ALS patients.75 However, over short periods of follow-up, phrenic nerve stimulation appears more sensitive than diaphragm ultrasound in detecting change in ALS patients, which has implications for its use in a trial setting.76 Overall, dynamic ultrasound measures of the diaphragm correlate strongly with currently available measures of assessing respiratory function in ALS and provide a novel method of evaluation.
Figure 2

Diaphragm thickness at the point of full inspiration. In a normal subject (A) the diaphragm (+) thickens on inspiration. In a patient with ALS (B), the diaphragm (+) is atrophic and there is minimal thickening on inspiration.

Abbreviation: ALS, amyotrophic lateral sclerosis.

Diaphragmatic ultrasound has several advantages over the currently available methods of evaluating respiratory dysfunction in ALS. It is a noninvasive bedside test that is easily accessible and can be readily repeated to allow serial monitoring of respiratory muscle weakness and therefore potentially has a role in assessing progression of disease. It also allows dynamic assessment of diaphragmatic motion throughout the respiratory cycle and enables rapid, high sensitivity detection of significant respiratory dysfunction (represented by FVC ≤50% predicted).72 It is possible to visualize the diaphragm even in obese patients because the muscle is located relatively superficially, although this is unlikely to be a limiting factor in an ALS cohort.75 This technique may enable better assessment of ALS-related respiratory dysfunction beyond traditional PFTs given the observation of a strong negative correlation between degree of diaphragm excursion and disease duration,71 whereas similar relationships were not seen with forced expiratory volume (FEV1) or FVC. Ultrasound can also be used in conjunction with electrodiagnostic measures to increase accuracy of phrenic nerve conduction studies (NCS) by allowing direct vision of diaphragm twitch77 and to guide needle placement and reduce pneumothorax risk with EMG. There are several limitations in the existing body of literature around diaphragmatic ultrasound in respiratory function assessment. It is unclear if sonographic measures of the diaphragm are reliable in ALS patients with significant bulbar involvement. Firstly, diaphragmatic ultrasound measurements did not correlate with PFTs in the bulbar-onset subgroup in Pinto et al (2016), perhaps because the PFTs in this group were themselves unreliable and therefore diaphragm ultrasound may represent a superior marker of respiratory dysfunction. Secondly, patients with severe bulbar weakness were excluded from the majority of studies. Finally, there is some evidence for abnormalities of central respiratory drive in bulbar-onset ALS which would not be reflected in direct muscle-based measurement and may be partial drivers of hypoventilation.61,78 Establishing the diagnostic accuracy of diaphragm ultrasound in assessing respiratory muscle weakness would require a reference standard beyond those currently available, for example, simultaneous diaphragmatic EMG and esophageal manometry, which would be both invasive and time-consuming.79 Further studies of ultrasound evaluation of respiratory function are required to more fully characterize the role of respiratory muscle ultrasonography in ALS patient evaluation. However, the advantages of using ultrasound over other techniques are clear.

Bulbar muscle dysfunction and dysphagia

Dysphagia occurs commonly in ALS due to bulbar motor neuron dysfunction. Accurate assessment of swallowing is important because it has implications for assessing aspiration risk and need for tube feeding, monitoring progression,80 and determining prognosis.81,82 Videofluoroscopy (VFS) has been traditionally used to evaluate dysphagia and is currently regarded as the gold standard.83 However, ultrasonographic evaluation of swallowing provides several advantages over VFS. It is a repeatable noninvasive rapid bedside test, avoids ionizing radiation and can assess reflex swallowing in uncooperative patients.84 It also avoids risk of aspiration of barium contrast media which has a twofold benefit since patients report a preference to water ingestion over barium based agents84 and aspiration confers high mortality in ALS patients.85 Electrodiagnostic measures can also be used but these are invasive, poorly tolerated and often technically difficult due to inadequate tongue relaxation.86 To this end, three studies have assessed the role of bulbar muscle ultrasound in assessment of dysphagia in ALS. Tamburrini et al84 demonstrated the role of video ultrasonography (VUS) in comparison to VFS to allow morphological and dynamic assessment of the oral phase of swallowing. They showed that VUS was more sensitive than VFS in evaluating abnormalities in early dysphagia including bolus position, oral bolus transport and dynamic tongue movements. Notably abnormal bolus position, a static measure, may represent a particularly useful marker of swallowing dysfunction because it was consistently associated with dynamic abnormalities in the oral phase of deglutition. While stagnation of ingested material in the oral cavity could not be visualized with VUS due to lack of bone penetration, this was invariably associated with other swallowing abnormalities and so did not represent an important limiting factor of VUS. Tongue atrophy was also noted in association with evidence of dynamic swallowing abnormality and thus suggested a relationship between structural and dynamic abnormalities of bulbar muscles, although this tends to occur later in the ALS disease process. This study therefore demonstrated the value of VUS as an alternative technique to VFS that additionally allows early and sensitive identification of dynamic swallowing dysfunction in the oral phase. Nakamori et al80 focused specifically on sonographic measurement of tongue thickness, measured from the surface of the mylohyoid muscle to the tongue dorsum, and demonstrated significantly reduced tongue thickness in ALS patients compared to controls. This was associated with both BMI and onset type in ALS patients with more pronounced thinning in bulbar-onset patients. As in Tamburrini et al84 reduced tongue thickness was associated with dynamic impairment in the oral phase of deglutition, which suggests that tongue thickness can be used as a surrogate marker for bulbar muscle dysfunction. In addition, in serial measurements tongue thickness decreased over time in the ALS cohort, so this measure could also be used to monitor disease progression. However, the relationship of tongue thickness to BMI and the virtually universal and multifactorial weight loss that occurs as ALS progresses will also affect this measure. Nutritional support to maintain body weight has been previously shown to prolong survival87 and tongue thickness may be used as a surrogate marker of survival potential, which may potentially add prognostic value. Unsurprisingly, tongue ultrasonography also improved detection of fasciculations compared to clinical examination.80 Noto et al86 specifically aimed to quantify UMN-related bulbar dysfunction in ALS patients using dynamic M-mode ultrasound of the mylohyoid-geniohyoid muscle complex. Thickness ratio in the mylohyoid-geniohyoid muscle complex was significantly lower in the ALS cohort than controls. Sub-analysis revealed that this was specifically the case in the bulbar-onset group. Thickness ratio and maximal thickness during swallowing negatively correlated with clinical UMN scores. Thus dynamic bulbar muscle ultrasound is a marker of UMN dysfunction in ALS, although its sensitivity was relatively low at 66.7% and reproducibility of the method requires further evaluation.86 Pathophysiologically, these findings may reflect spasticity and reduced bulbar muscle contractility due to UMN dysfunction in ALS.86 There is potential to develop this technique as a noninvasive objective marker of bulbar UMN dysfunction in ALS, which can be difficult to identify clinically in patients with bulbar onset ALS. Tongue ultrasonography in the assessment of dysphagia in ALS is a noninvasive and better tolerated alternative to traditional VFS, and represents a potentially useful measure to complement clinical and electrodiagnostic assessment. The optimal methodology to maximize tolerability and reproducibility is yet to be established so further investigation is required. Ultrasonography can act as a noninvasive marker of morphological and dynamic abnormalities in the oral phase of swallowing. Current limitations include difficulties in imaging interpretation due to motion artefact from active accessory muscles of respiration in established ALS, lack of utility in evaluating the pharyngeal phase of swallowing and inability to perform the procedure safely even with small water boluses in severe dysphagia, although such assessment is unlikely to be necessary in such established disease.80,86 Tongue ultrasonography in assessment of dysphagia and bulbar dysfunction in ALS may therefore provide a convenient adjunct to traditional clinical and electrodiagnostic assessment provided its limitations are recognized.

Nerve ultrasound

Ultrasonographic evaluation of peripheral nerves in ALS has also been examined. Several studies have demonstrated a reduction in cross-sectional area (CSA) of peripheral nerves and longitudinal diameter of cervical nerve roots in ALS patients,36,88–90 reflecting nerve atrophy as a result of LMN dropout. This technique has good intra- and interobserver reliability.36 As expected, no difference in pure sensory peripheral nerve CSA was observed.36 Schreiber et al90 demonstrated the utility of ulnar nerve distal CSA as a marker of LMN involvement and potential use as a diagnostic marker to differentiate primary lateral sclerosis, in which nerve CSA was similar to controls, from UMN-dominant ALS, in which nerve CSA was significantly reduced, a demarcation which is difficult to achieve clinically but has significant prognostic consequences. A single case study91 has also demonstrated vagus nerve atrophy in ALS. This result requires further evaluation and validation in larger cohorts. Cervical nerve root measures have also been investigated. These provide information about innervation of larger proximal muscle groups and the reduction in nerve root diameter in ALS patients compared to controls tends to be greater than the reduction in peripheral nerve CSA.88 This correlates with pathological evidence of motor nerve fiber predominance in nerve roots compared to mixed peripheral nerves.92,93 Nerve root measures may therefore provide a better marker of motor axonal loss than peripheral nerves. There was also a trend towards an inverse correlation of cervical nerve root diameter with degree of disability, with thinner nerve roots observed in ALS patients with more impaired upper limb function.89 However in other studies, no correlation was found with disease severity based on ALSFRS-R or duration. Peripheral nerve ultrasound can also be used to distinguish ALS from mimicking disorders, particularly MMN and PNHS, where accurate diagnosis has significant treatment and prognostic implications. MMN is significantly more likely to be associated with nerve/root enlargement, particularly in settings where electrodiagnostic testing is nonconfirmatory ie in the absence of conduction block.94–98 Jongbloed et al95 also suggested a comparable role of MRI, however this modality remains less easily accessible and more expensive than ultrasonography. PNHS can also be differentiated from ALS using peripheral nerve ultrasound with some evidence supporting a preserved ulnar CSA distal:proximal ratio in PNHS compared to an increased ratio in ALS.98 The aforementioned studies have used various methods and sites of assessing CSA/nerve root diameter. Noto et al98 extended these approaches by examining ratios of distal and proximal peripheral nerve CSA. Like the previous studies, they demonstrated a particular propensity for reduction in upper arm median nerve CSA, as well as an increase in CSA distal:proximal ratio in ALS, which may reflect a particular vulnerability of this nerve to involvement in the neurodegenerative process of ALS. Reduced CSA was more profound in the proximal portion of the nerve, which pathophysiologically fits with the known predominance of motor axons in the median nerve in the upper arm compared to the distal portion,99 thereby creating a distinctive pattern of asymmetric atrophy in a primary motor neuronopathy like ALS. These findings were present across all ALS subtypes which suggests a role diagnostically, regardless of site of disease onset. The authors postulated that peripheral nerve CSA distal:proximal ratios may be a more sensitive marker of ALS by reflecting a characteristic pattern of motor neuron atrophy.98 In these studies, peripheral nerve and nerve root CSA have not shown a clear relationship to clinical severity, disease duration or electrodiagnostic measures. The lack of correlation with ALSFRS-R scores is unsurprising given this composite measure reflects both UMN and LMN involvement across multiple body regions and there is significant clinical heterogeneity of patients receiving the same score with variable inputs from different levels of the neuraxis in comparison to sonographic changes recorded in a single peripheral nerve. Interestingly, Schreiber et al100 demonstrate an association between sonographic peripheral nerve atrophy and increased CSF levels of progranulin, normalized to CSF:serum albumin ratio in ALS. Progranulin is a neuritic growth factor previously shown to be upregulated in brain and spinal cord microglia in the setting of nervous system axonal injury, including ALS.101 Motor neuron loss is known to occur prior to central nervous system (CNS) progranulin upregulation.102 The authors therefore propose that the observed relationship of CSF levels to peripheral nerve CSA reflects compensatory progranulin upregulation aimed to maintain structure and function of neurons, but unsuccessful in inhibiting progressive peripheral nerve atrophy. Peripheral nerve ultrasound has also provided information about the pathophysiology underlying electrophysiological abnormalities in ALS. Specifically, Mori et al103 demonstrated that “secondary carpal tunnel syndrome” (ie a compressive etiology) is not the cause of increased median distal motor latency in ALS due to lack of sonographic evidence of focal median nerve enlargement at the wrist. Rather the authors suggested that the median nerve in ALS may be uniquely vulnerable, resulting in selective conduction abnormalities, particularly distally, although the underlying mechanism remains unclear. These insights into the pathophysiological underpinnings of ALS are important because of their potential role in developing new therapeutic options. Similar issues are common to all nerve ultrasonography studies in ALS. They have been limited by relatively small sample sizes and substantial heterogeneity in disease severity. Analysis by region of onset and ALS subtype was not possible in some studies due to size limitations. In addition, patients in the “ALS” cohort in these studies typically meet criteria for probable or definite ALS. Results therefore may not apply to those patients who present the greatest diagnostic challenge—those with possible ALS or other ALS mimics. Furthermore, the majority of studies recorded significant overlap in sonographic measures between ALS and control groups, which potentially limits the utility of this technique in the individual patient setting, despite the population differences recorded. Nerve ultrasound in ALS provides a potential method of preclinical detection of motor neuron loss superior to manual muscle testing and CMAP because axonal degeneration can be clinically masked in the early phases by relative preservation of muscle strength via reinnervation by surviving axons.89,104 However, the changes observed are typically sub-millimeter and this measure is therefore too insensitive to small degrees of change to be of significant clinical use. This also applies to the longitudinal assessment of nerve CSA in which statistically significant changes were observed over time but these were 20 times below currently detectable limits of ultrasonography.105 There is a need for further work in this area, particularly with the use of higher frequency probes to evaluate measures at the neuronal level such as fascicular diameter105 and careful standardization of ultrasonographic methodology to reliably capture small changes in CSA. These studies demonstrate the potential role for nerve ultrasound as an adjunctive diagnostic modality in ALS to complement electrodiagnostic testing, as well as providing insights into ALS pathogenesis. It is likely to have a particular role in diagnosis of early disease when electrodiagnostic studies may be inconclusive106 but peripheral nerve/nerve root morphological changes may be already present and alsodifferentiating from potential ALS mimics. Its role in monitoring disease progression is not yet well established.

Limitations of neuromuscular ultrasound

Despite its obvious advantages of accessibility, noninvasiveness and ability to screen and detect abnormalities in multiple regions of the body relevant to ALS, the use of neuromuscular ultrasound in this patient group has several limitations. It is an operator-dependent and machine-dependent imaging modality so appropriate training and a sufficiently high-quality machine is required. Fortunately, these techniques are relatively easy to learn.17,22 Interrater reliability of measurements is always a consideration in such settings, however several robust measures in ALS patients have now been established.37,94 Patient factors such as movement or poor cooperation in the setting of cognitive dysfunction can also influence scan quality. Other technical factors such as transducer position and pressure must also be considered in interpretation of results.

Conclusions

Overall, neuromuscular ultrasound has a valuable role in the diagnosis and monitoring of patients with ALS and also has the potential to offer important insights into the underlying pathophysiology of this devastating disease. The validation of a composite sonographic marker of nerve and muscle dysfunction seems feasible in the near future to complement clinical and electrodiagnostic assessment techniques. Future technological advances, such as the development of ultra high-frequency transducers, as well as novel techniques such as ultrasound elastography, will also enable additional applications of these techniques. The wide ranging applications of neuromuscular ultrasound in ALS and other neuromuscular diseases make it an indispensable piece of equipment in all clinical neurophysiology departments.

Disclosure

The authors report no conflicts of interest in this work.
  105 in total

Review 1.  El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis.

Authors:  B R Brooks; R G Miller; M Swash; T L Munsat
Journal:  Amyotroph Lateral Scler Other Motor Neuron Disord       Date:  2000-12

Review 2.  Management of motor neurone disease.

Authors:  R S Howard; R W Orrell
Journal:  Postgrad Med J       Date:  2002-12       Impact factor: 2.401

3.  Collateral regeneration from residual motor nerve fibers in amyotrophic lateral sclerosis.

Authors:  G WOHLFART
Journal:  Neurology       Date:  1957-02       Impact factor: 9.910

Review 4.  Respiratory complications related to bulbar dysfunction in motor neuron disease.

Authors:  S Hadjikoutis; C M Wiles
Journal:  Acta Neurol Scand       Date:  2001-04       Impact factor: 3.209

5.  Phrenic nerve conduction study in demyelinating neuropathies and open-heart surgery.

Authors:  A Cruz-Martinez; A Armijo; A Fermoso; S Moraleda; I Maté; M Marín
Journal:  Clin Neurophysiol       Date:  2000-05       Impact factor: 3.708

6.  The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. BDNF ALS Study Group (Phase III).

Authors:  J M Cedarbaum; N Stambler; E Malta; C Fuller; D Hilt; B Thurmond; A Nakanishi
Journal:  J Neurol Sci       Date:  1999-10-31       Impact factor: 3.181

7.  Prognosis in amyotrophic lateral sclerosis: a population-based study.

Authors:  M A del Aguila; W T Longstreth; V McGuire; T D Koepsell; G van Belle
Journal:  Neurology       Date:  2003-03-11       Impact factor: 9.910

8.  Bipap improves survival and rate of pulmonary function decline in patients with ALS.

Authors:  K A Kleopa; M Sherman; B Neal; G J Romano; T Heiman-Patterson
Journal:  J Neurol Sci       Date:  1999-03-15       Impact factor: 3.181

9.  Respiratory muscle strength and ventilatory failure in amyotrophic lateral sclerosis.

Authors:  R A Lyall; N Donaldson; M I Polkey; P N Leigh; J Moxham
Journal:  Brain       Date:  2001-10       Impact factor: 13.501

10.  Electromyography of respiratory muscles in amyotrophic lateral sclerosis.

Authors:  H Stewart; A Eisen; J Road; M Mezei; M Weber
Journal:  J Neurol Sci       Date:  2001-10-15       Impact factor: 3.181

View more
  1 in total

Review 1.  Ultrasound: an emerging modality for the dysphagia assessment toolkit?

Authors:  Jodi E Allen; Gemma M Clunie; Katharina Winiker
Journal:  Curr Opin Otolaryngol Head Neck Surg       Date:  2021-06-01       Impact factor: 2.064

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.