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The feasibility and reliability of measuring forearm muscle thickness by ultrasound in a geriatric inpatient setting: a cross-sectional pilot study



Given the potential benefits of introducing ultrasound in the clinical assessment of muscle disorders, this study aimed to assess the feasibility and reliability of measuring forearm muscle thickness by ultrasound in a geriatric clinical setting.


Cross-sectional pilot study in 25 participants (12 patients aged ≥ 70 years in an acute geriatric ward and 13 healthy volunteers aged 25–50 years), assessed by three raters. Muscle thickness measurement was estimated as the distance between the subcutaneous adipose tissue-muscle interface and muscle-bone interface of the radius at 30% proximal of the distance between the styloid process and distal insertion of the biceps brachii muscle of the dominant forearm. Examinations were repeated three times by each rater and intra- and inter-rater reliability was calculated. Feasibility analysis included consideration of technological, economic, legal, operational, and scheduling (TELOS) components.


Mean muscle-thickness measurement difference between groups was 4.4 mm (95% confidence interval [CI] 2.4 mm to 6.3 mm], p < 0.001). Intra-rater reliability of muscle-thickness assessment was excellent, with intraclass correlation coefficient (ICC) of 0.947 (95%CI 0.902 to 0.974), 0.969 (95%CI 0.942 to 0.985), and 0.950 (95%CI 0.907 to 0.975) for observer A, B, and C, respectively. Inter-rater comparison showed good agreement (ICC of 0.873 [95%CI 0.73 to 0.94]). Four of the 17 TELOS components considered led to specific recommendations to improve the procedure’s feasibility in clinical practice.


Our findings suggest that US is a feasible tool to assess the thickness of the forearm muscles with good inter-rater and excellent intra-rater reliability in a sample of hospitalized geriatric patients, making it a promising option for use in clinical practice.

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Sarcopenia is a progressive and generalized muscle disease associated with increased likelihood of adverse outcomes [1]. According to the 2018 updated definition from the European Working Group of Sarcopenia on Older People (EGWSOP2), sarcopenia is suspected in presence of low muscle strength and confirmed by documentation of low muscle quantity or quality [2].

The EWGSOP2 cut-off points to define reduced muscle quantity are based on dual-energy X-ray absorptiometry (DEXA) and bio-impedance analysis (BIA) (2). Based on feasibility, accuracy, and low cost, DEXA has been considered as the reference standard for measuring muscle mass in patients with sarcopenia [3]. In light of the latest findings in sarcopenia research, the use of ultrasound (US) –a technique largely known for its diagnostic properties in muscle assessment– has been revisited as a promising tool to measure muscle quantity and quality, both of which are technically difficult to assess. Studies using this portable and inexpensive method that does not use ionizing radiation [4] have shown a strong positive correlation with DEXA [5,6,7,8], computerized tomography [9], and magnetic resonance imaging (MRI) results [10,11,12].

Muscle US has good intra- and inter-rater reliability, as well as test–retest reliability in both older adults and younger populations [13, 14]; nevertheless, more research is needed, especially in the US measures of muscle size in small muscles [13] and clinical populations [14]. The SARCopenia measurement by UltraSound (SARCUS) project, a European collaborative partnership, proposes various measurements, including muscle thickness as among the most commonly used to evaluate muscle mass in the upper and lower limbs [4, 15]. Lack of expertise in US among physicians is one of the critical limitations for its implementation in clinical practice. However, published research shows that a brief training course achieves improvement in point-of-care US image interpretation skills and confidence [16, 17] and a reliable endpoint can be achieved by the practitioner who is inexperienced in more complex musculoskeletal US techniques [18].

The rectus femoris and lateral vastus muscles are the most often studied with US in sarcopenia research [4]. However, some degree of patient collaboration (need to undress) and observer effort (assistance to position the patient on the examining table or bed, time required for the protocol) is involved. For this reason, our study proposed a forearm muscle evaluation protocol with the patient seated naturally and the forearm in a neutral position accessible for US transducer placement. This pilot study aimed to assess the feasibility of assessing thickness of the forearm muscles by US and to calculate intra- and inter-rater reliability of these measurements performed by inexperienced users of the technique in a geriatric inpatient setting.


Study design and setting

This was a cross-sectional pilot study reported according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations [19]. The study was performed in the geriatric ward of the University Center of Geriatrics in Antwerp, Belgium in June 2019.


Volunteers were recruited from two different age groups and settings: 12 patients aged 70 years or older (6 women and 6 men, aged 81.8 ± 4.2 years) admitted in an acute geriatric ward who agreed to participate and were able to hold their forearm in the needed position for evaluation, and 13 healthy adult volunteers (doctors, nurses, and social workers at the study site) younger than 50 years (11 women and 2 men, aged 32.9 ± 8.3 years), without known pathologies. Patients with recent surgery or trauma (< 3 months) or neurologic diseases affecting the dominant arm were excluded.


  1. a)

    To determine muscle thickness of the forearm, each researcher measured the forearm and marked the point of transducer placement on the lateral right forearm, 30% proximal of the distance between the styloid process of the radius and the insertion of the biceps brachii muscle into the radial tuberosity (Fig. 1A). Using B-mode on the Aplio 300 (Canon Medical Systems Europe B.V.), a 5-cm wide 7.5-MHz linear transducer with a scanning head coated with water-soluble transmission gel was used; the probe was placed perpendicular to the length of the arm; minimal pressure was maintained between the transducer and the skin (Fig. 1B). The examination was performed with the patient seated in a chair without armrests, with feet fully resting on the floor, and hips and knees positioned at approximately 90°. The upper limb was resting on a table and positioned as follows: 30-45º shoulder flexion, 45º elbow flexion, mid pronation/supination, 15–30° wrist extension and 0–15° ulnar deviation. To facilitate standardization of positioning, a tennis ball (Wilson Sporting Goods Company, United States of America) was gently held in the hand (Fig. 1C); this position helps to counteract any volitional or nonvolitional contractions of the musculature to hold the forearm as directed. Once the image was selected, the distance between the subcutaneous adipose tissue-muscle interface and the radius muscle-bone interface was measured (Fig. 2). The mean value of three reproducible measurements (< 15% variability) was used for analysis. Each researcher positioned the patient, measured and marked the transducer position in the forearm, captured the image, measured the muscle thickness, and removed any skin marks before the next investigator entered the examination room. A specialist in Geriatrics with US expertise (2 years working experience) provided a 45-min training session; the assessments were carried out by three researchers (raters A, B, and C) with limited or no previous experience in muscle US.

  2. b)

    Feasibility of the procedure was assessed with technological, economic, legal, operational, and scheduling (TELOS) components, adapted from previous studies [20]. For the purpose of this study, 17 yes/no questions (outlined below) with their expected answers were agreed. The components were considered feasible if the answers were those expected; otherwise, actions to resolve barriers were described. Additional feasibility considerations included time spent on the examination, patient discomfort during the procedure, and occurrence of adverse or unexpected events.

Fig. 1
figure 1

Measurement of muscle thickness, Legend: A, Muscle thickness was measured at the lateral dominant forearm at 30% proximal of the distance between the styloid process and the distal insertion of the biceps brachii muscle into the radial tuberosity. The black mark indicates where the images should be captured. B, A 5 cm width, 7.5 MHz linear transducer was placed perpendicular to the length of the arm. C, The patient must be seated with the dominant arm resting on a standard table with shoulders flexed to 30-45º, elbow to 135º, and forearm in neutral position

Fig. 2
figure 2

Cross-sectional sonogram of a healthy volunteer, Legend: Forearm muscles assessed: A, Brachioradialis muscle. B, Extensor carpi radialis longus muscle. C, Extensor carpi radialis brevis muscle. D, Supinator muscle

Training of evaluators

Before starting data collection, a specialist in Geriatrics with US expertise (2 years working experience) provided a 45-min training session designed for physicians with limited or no previous experience in muscle US. The training consisted of three parts:

1) Theory: Content included a) generalities in using the US scanner (including adequate grip of the US-transducer, the quantity of gel needed, and pressure management over the area to be evaluated; b) visualization, capture, and measurement of the US image; and c) the patient's position and the measurement of the anatomical point on the forearm for the evaluation.

2) Practical training: The expert measured the forearm muscle thickness by US in a healthy volunteer; each participant then performed the measurement in healthy volunteers under expert supervision.

3) Evaluation: At the end of the training, the expert verified that researchers had completed the entire forearm muscle thickness measurement independently and adequately. Finally, all three researchers (raters A, B, and C) carried out the assessments for this research.

Study size

A sample size of at least 24 observations was determined, taking into account a scenario with three raters, 5% significance level, and accepting an alpha risk of 0.05 and a beta risk of 0.2 in a two-sided test. We used the formula provided by Zou [21] using the R Package “ICC.Sample.Size” [22], giving a 0.9 hypothesized value of the intraclass correlation coefficient and a null hypothesis value of 0.75.

Statistical analysis

Categorical variables are described with absolute values and percentages, quantitative variables with mean and standard deviation (SD). The assumption of normality of the quantitative variables was checked with normal probability graphs and the Kolmogorov–Smirnov test corrected by the Lilliefors test. Student t-test for independent samples was used to assess age-related differences in muscle-thickness. The intraclass correlation coefficient (ICC) and its 95% confidence intervals (CI) were calculated to determine both the intra- and inter-rater agreement [23]. Intra-rater agreement was based on a single rating, absolute agreement, 2-way mixed effects-model and inter-rater agreement on a single rating, absolute agreement, 2-way random-effects model [24]. In the benchmark scale used to evaluate ICC, values below 0.5 indicate poor agreement and those between 0.5 and 0.75, moderate agreement. We considered good ICC agreement values as between 0.75 and 0.9 and excellent agreement above 0.9 [24]. Finally, agreement between raters (by pairs of raters) was assessed by Bland–Altman plots; mean of differences or bias and limits of agreement were calculated [25]. P-values lower than 0.05 were considered as statistically significant. Statistical Package for the Social Sciences (SPSS) version 23.0 for Windows (IBM, Armonk, New York, United States of America) and Stata version 15 (StataCorp, College Station, Texas, United States of America) were used for statistical analysis.


All the participants were right-handed. Among the patients, no significant differences in muscle thickness of the dominant forearm were observed between men and women (mean difference 0.06 mm, 95%CI -3.03 to 3.15). Differences by sex could not be analyzed in the healthy volunteers, as only two men participated.

Twenty-five trios of inter-rater measurements were evaluated, as described in Table 1. Mean muscle-thickness values were calculated for each participant according to the following formula: [mean A + mean B + mean C]/3. The results were 14.6 ± 2.0 mm in the older patients, and 18.4 ± 2.6 mm in the younger healthy volunteers (mean difference 4.4 mm [95%CI 2.4 mm to 6.3 mm], p < 0.001). Figure 3 shows obtained images in a patient and a healthy volunteer.

Table 1 The intra- and inter-rater agreement
Fig. 3
figure 3

Forearm muscle thickness sonogram, Legend: Image obtained in a patient (left) and healthy volunteer (right), showing quantitative differences

The intra-rater agreement analysis showed excellent results: ICC for raters A, B, and C was 0.947 (95%CI 0.902 to 0.974), 0.969 (95%CI 0.942 to 0.985) and 0.950 (95%CI 0.907 to 0.975), respectively (Table 2). Comparison between all three raters showed good inter-rater agreement, with an ICC of 0.873 (95%CI 0.73 to 0.94). However, comparisons between raters had some disparities depending on the pair. Pairs A-B and B-C showed good agreement, with ICC of 0.89 (95%CI 0.97 to 0.96) and 0.9 (95%CI 0.78 to 0.96), respectively. When comparing A and C, the ICC was 0.83 (95%CI 0.43 to 0.94), with the lower limit of the confidence interval falling into the range of poor agreement.

Table 2 Inter- and intra-rater reliability of ultrasound muscle thickness measurements

Bland and Altman plots (Fig. 4) showed different levels of bias and limits of agreement, ranging from -0.52 in the B-C comparison to -1.37 in the A-C comparison. Moreover, pairs of measurement showed no patterns in the distribution of points in the plot area. From a total of 17 questions considered as relevant to assess feasibility, 4 answers were unknown or not as expected; these were specifically addressed by describing actions to overcome potential barriers to implementation (Table 3). Professionals from the Geriatrics and Rehabilitation Departments considered that information provided by muscle US could have clinical and prognostic implications. Although no infrastructure investment was required, the assessment could be considered time-consuming. The researchers in charge of examinations (1 geriatrician and 2 rehabilitation specialists) received a 45-min theory class followed by a practicum in which 5 supervised examinations were carried out.

Fig. 4
figure 4

The Bland and Altman plots show the levels of bias and limits of agreement

Table 3 The TELOS components

The inclusion of US assessment in the geriatric ward fulfilled legal requirements. Unlike muscle US of lower limbs, for which patients must remove items of clothing, the mean total time spent in the examination room was only 12.5 min per assessment; the actual measurement was easily performed in less than 10 min per patient. No patients reported discomfort during the examination, and there were no adverse or unexpected effects except one patient who fell asleep during the procedure.


This pilot study showed US technology to be a reliable and feasible tool to measure muscle characteristics in older adults. Both quantity and quality are key measurements, as loss of muscle strength is essential for sarcopenia diagnosis. Our study focused on using researchers newly trained in US to assess muscle thickness in hospitalized geriatric patients who could maintain the protocol’s required sitting position. The good inter-rater and excellent intra-rater reliability data obtained after a 45-min training session demonstrated that US is an accessible tool for physicians interested in objective muscle assessment. The US is an inexpensive, non-invasive technique that uses no ionizing radiation. Modern equipment is portable, making it easy to use in clinical practice. To date, very few research groups have closely examined the usefulness of forearm US in the diagnosis of muscle diseases [26,27,28,29]; one of the groups found a close association between US muscle thickness and cross-sectional area measured by MRI in the forearm of young and middle-aged individuals [26]. In the present study, a significant forearm muscle thickness difference was observed between older patients and younger healthy volunteers; however, the reasons for these differences (age-related loss of muscle mass, physical inactivity, medications, comorbidities, etc.) offer an interesting and necessary question for future research.

A major drawback of US-based measurements is the lack of standardization with respect to aspects such as preferred muscle group, patient positioning, pretest exercise, dominant vs. non-dominant arm, or relaxed vs. contracted muscles. In our study, muscle thickness was measured at the proximal lateral forearm, 30% proximal of the distance between the styloid process of the radius and the insertion of the biceps brachii muscle into the radial tuberosity, which is the widest and most accessible part of the forearm in a neutral position.

Other US protocols exist for measuring the forearm musculature. These protocols generally evaluate the anterior part of the forearm at different levels, have usually sought to demonstrate the maximum handgrip strength [27], a good correlation between handgrip strength and muscle thickness [28], as an indicator of physical performance [29], and have shown good intra-rater and inter-rater reliability [4, 30,31,32]. However, there is no consensus recommending a specific measurement protocol for the forearm. Since lower arm muscles are more readily accessible than other more studied muscles and their measurement shows good reliability, this option for screening and diagnosis of muscle disorders could be very useful in clinical assessments, particularly in outpatient settings where time for examinations is very limited. In hospitalized patients who cannot maintain the sitting position, it would be better to assess other muscles (e.g., quadriceps in the supine decubitus position). However, in the forearm muscle thickness evaluation, the patient need only be seated with a bare forearm held steady in a supported position; this approach optimizes clinical time and resources in patients who can maintain this posture for approximately five minutes.

Our results suggest that the feasibility of the procedure is fairly good. Only a short training time was required, although there is a learning curve related to measuring distances and muscle area. Positioning the patient, handling the probe, and even the force applied by the examiner during the assessment are aspects that might influence the accuracy of the measurements.

The study of US feasibility in a geriatric setting may be considered a strong point of our research, as well as the use of three observers and a homogeneous population of older patients to support our reliability analysis. Limitations of the study include the relatively small group of participants, the unknowns that are inherent to the technique itself (as described above), and the lack of a test–retest analysis. Although the lack of a test–retest is a limitation of the design, the reliability obtained through the methodology (image capture and thickness measured) achieved the aims of our study. This study aimed to demonstrate how physicians with no previous experience in muscle assessment by US could perform muscle thickness assessment with a high degree of reliability after brief training. The methodology included training in four specific areas: (a) general US measurement techniques (correct grip and positioning of the US probe, amount of gel to be used, and attention to the pressure exerted on the tissues); b) anatomical location of the probe placement point on the forearm; (c) recognition of the anatomical structures in the ultrasound image obtained, and (d) correct measurement of structures in the US image captured.


Our findings suggest that US is a feasible tool to assess thickness of forearm muscles with good inter-rater and excellent intra-rater reliability, requiring minimal training in the technique and limited time during the outpatient clinical examination. Therefore, it could be a suitable option in Geriatrics and Rehabilitation settings for the assessment of muscle characteristics and follow-up of patients with sarcopenia.

Availability of data and materials

The datasets used during the current study are available from the corresponding author upon reasonable request.



The Belgian Ageing Muscle Society


Bio-Impedance Analysis


Confidence Interval


Dual-energy X-ray Absorptiometry


European Working Group of Sarcopenia on Older People 2


The European Society of Clinical Nutrition and Metabolism


The European Union Geriatric Medicine Society


Intraclass Correlation Coefficient


Magnetic Resonance Imaging


SARCopenia measurement by UltrasSound


Standard Deviation


Statistical Package for the Social Sciences


Strengthening the Reporting of Observational Studies in Epidemiology


Technological, Economic, Legal, Operational, and Scheduling components




  1. Beaudart C, Zaaria M, Pasleau F, Reginster JY, Bruyère O. Health Outcomes of Sarcopenia: A Systematic Review and Meta-Analysis. PLoS One. 2017;12(1):e0169548.

  2. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16–31.

    Article  Google Scholar 

  3. Buckinx F, Landi F, Cesari M, Fielding RA, Visser M, Engelke K, et al. Pitfalls in the measurement of muscle mass: a need for a reference standard. J Cachexia Sarcopenia Muscle. 2018;9(2):269–78.

    Article  Google Scholar 

  4. Perkisas S, Baudry Sp, Bauer Jr, Beckwée D, De Cock AM, Hobbelen H, et al. Application of ultrasound for muscle assessment in sarcopenia: towards standardized measurements. European Geriatric Medicine. 2018;9:739–57.

  5. Takai Y, Ohta M, Akagi R, Kato E, Wakahara T, Kawakami Y, et al. Applicability of ultrasound muscle thickness measurements for predicting fat-free mass in elderly population. J Nutr Health Aging. 2014;18(6):579–85.

    CAS  Article  Google Scholar 

  6. Takai Y, Ohta M, Akagi R, Kato E, Wakahara T, Kawakami Y, et al. Validity of ultrasound muscle thickness measurements for predicting leg skeletal muscle mass in healthy Japanese middle-aged and older individuals. J Physiol Anthropol. 2013;32:12.

    Article  Google Scholar 

  7. Abe T, Loenneke JP, Young KC, Thiebaud RS, Nahar VK, Hollaway KM, et al. Validity of ultrasound prediction equations for total and regional muscularity in middle-aged and older men and women. Ultrasound Med Biol. 2015;41(2):557–64.

    Article  Google Scholar 

  8. Abe T, Fujita E, Thiebaud RS, Loenneke JP, Akamine T. Ultrasound-Derived Forearm Muscle Thickness Is a Powerful Predictor for Estimating DXA-Derived Appendicular Lean Mass in Japanese Older Adults. Ultrasound Med Biol. 2016;42(9):2341–4.

    Article  Google Scholar 

  9. Thomaes T, Thomis M, Onkelinx S, Coudyzer W, Cornelissen V, Vanhees L. Reliability and validity of the ultrasound technique to measure the rectus femoris muscle diameter in older CAD-patients. BMC Med Imaging. 2012;12:7.

    Article  Google Scholar 

  10. Reeves ND, Maganaris CN, Narici MV. Ultrasonographic assessment of human skeletal muscle size. Eur J Appl Physiol. 2004;91(1):116–8.

    Article  Google Scholar 

  11. Sanada K, Kearns CF, Midorikawa T, Abe T. Prediction and validation of total and regional skeletal muscle mass by ultrasound in Japanese adults. Eur J Appl Physiol. 2006;96(1):24–31.

    Article  Google Scholar 

  12. Tandon P, Low G, Mourtzakis M, Zenith L, Myers RP, Abraldes JG, et al. A Model to Identify Sarcopenia in Patients With Cirrhosis. Clin Gastroenterol Hepatol. 2016;14(10):1473-80.e3.

    Article  Google Scholar 

  13. Nijholt W, Scafoglieri A, Jager-Wittenaar H, Hobbelen JSM, van der Schans CP. The reliability and validity of ultrasound to quantify muscles in older adults: a systematic review. J Cachexia Sarcopenia Muscle. 2017;8(5):702–12.

    Article  Google Scholar 

  14. English C, Fisher L, Thoirs K. Reliability of real-time ultrasound for measuring skeletal muscle size in human limbs in vivo: a systematic review. Clin Rehabil. 2012;26(10):934–44.

    Article  Google Scholar 

  15. Perkisas S, Bastijns S, Baudry S, Bauer J, Beaudart C, Beckwée D, et al. Application of ultrasound for muscle assessment in sarcopenia: 2020 SARCUS update. Eur Geriatr Med. 2021;12(1):45–59.

    Article  Google Scholar 

  16. Yamada T, Minami T, Soni NJ, Hiraoka E, Takahashi H, Okubo T, et al. Skills acquisition for novice learners after a point-of-care ultrasound course: does clinical rank matter? BMC Med Educ. 2018;18(1):202.

    Article  Google Scholar 

  17. Sucher JF, Lyons C, Salas N, Sherman V, Dunkin B. Evaluation of ultrasound for identification of abdominal wall myofascial components by novice learners. Surg Endosc. 2013;27(6):1953–6.

    Article  Google Scholar 

  18. Ford S, Dosani M, Robinson AJ, Campbell GC, Ansermino JM, Lim J, et al. Defining the reliability of sonoanatomy identification by novices in ultrasound-guided pediatric ilioinguinal and iliohypogastric nerve blockade. Anesth Analg. 2009;109(6):1793–8.

    Article  Google Scholar 

  19. Vandenbroucke JP, von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Int J Surg. 2014;12(12):1500–24.

    Article  Google Scholar 

  20. Argudo N, Rodó-Pin A, Martínez-Llorens J, Marco E, Visa L, Messaggi-Sartor M, et al. Feasibility, tolerability, and effects of exercise-based prehabilitation after neoadjuvant therapy in esophagogastric cancer patients undergoing surgery: an interventional pilot study. Dis Esophagus. 2020.

  21. Zou GY. Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Stat Med. 2012;31(29):3972–81.

    CAS  Article  Google Scholar 

  22. Rathbone A, Shaw S, Kumbhare D. Calculation of Sample Size and Power for ICC CRAN2015 Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972–81.]. Accessed 03 August 2020.

  23. Perinetti G. StaTips Part IV: Selection, interpretation and reporting of the intraclass correlation coefficient. South Eur J Orthod Dentofac Res. 2018;5(1):3–5.

    Article  Google Scholar 

  24. Koo TK, Li MY. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med. 2016;15(2):155–63.

    Article  Google Scholar 

  25. How to: Bland-Altman plot [GraphPad Software]. Accessed 01 September 2020.

  26. Abe T, Nakatani M, Loenneke JP. Relationship between ultrasound muscle thickness and MRI-measured muscle cross-sectional area in the forearm: a pilot study. Clin Physiol Funct Imaging. 2018;38(4):652–5.

    Article  Google Scholar 

  27. Abe T, Thiebaud RS, Loenneke JP. Forearm muscle quality as a better indicator of physical performance than handgrip strength in older male ground golf players aged 70 to 89. J Musculoskelet Neuronal Interact. 2016;16(4):296–301.

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Abe T, Thiebaud RS, Loenneke JP, Ogawa M, Mitsukawa N. Association between forearm muscle thickness and age-related loss of skeletal muscle mass, handgrip and knee extension strength and walking performance in old men and women: a pilot study. Ultrasound Med Biol. 2014;40(9):2069–75.

    Article  Google Scholar 

  29. Abe T, Loenneke JP. Handgrip strength dominance is associated with difference in forearm muscle size. J Phys Ther Sci. 2015;27(7):2147–9.

    Article  Google Scholar 

  30. Latey PJ, Burns J, Nightingale EJ, Clarke JL, Hiller CE. Reliability and correlates of cross-sectional area of abductor hallucis and the medial belly of the flexor hallucis brevis measured by ultrasound. J Foot Ankle Res. 2018;11:28.

    Article  Google Scholar 

  31. Crofts G, Angin S, Mickle KJ, Hill S, Nester CJ. Reliability of ultrasound for measurement of selected foot structures. Gait Posture. 2014;39(1):35–9.

    CAS  Article  Google Scholar 

  32. Mohseny B, Nijhuis TH, Hundepool CA, Janssen WG, Selles RW, Coert JH. Ultrasonographic quantification of intrinsic hand muscle cross-sectional area; reliability and validity for predicting muscle strength. Arch Phys Med Rehabil. 2015;96(5):845–53.

    Article  Google Scholar 

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The authors appreciate English language review by Elaine M. Lilly, PhD. This work was conducted within the framework of the Doctorate in Health Sciences from Universitat Pompeu Fabra in Barcelona.


This research has been partially supported by a grant from ‘Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya’.

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Authors and Affiliations



EM and DMV designed the study and were involved in data analysis, data interpretation, and writing; DMV, DSR and SP were in charge of ultrasound assessments and were involved in study design and data interpretation; XD undertook statistical analysis and data interpretation; SB, VDY, EDC and EM helped to draft and critically revise the article; DMV, DSR, SP, SB, and EM participated in data acquisition and drafting the article. DMV, DSR, and EM analyzed reviewer comments and wrote the point-by-point response. This manuscript is part of Delky Meza-Valderrama’s PhD project “Sarcopenia: New strategies in the diagnostic and therapeutic approach” in the PhD program in Biomedicine, Department of Experimental and Health Sciences, Universitat Pompeu Fabra–Doctoral School, Barcelona, Catalonia, Spain. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Delky Meza-Valderrama.

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National and international research ethics guidelines were followed, including the Declaration of Helsinki and current confidentiality law concerning personal data. Detailed and understandable oral and written information was provided, and informed consent to participate was signed by all participants. This study was approved by the Ethics Committee of the Ziekenhuis Netwerk Antwerpen, Antwerp, Belgium (EC #5226).

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Meza-Valderrama, D., Sánchez- Rodríguez, D., Perkisas, S. et al. The feasibility and reliability of measuring forearm muscle thickness by ultrasound in a geriatric inpatient setting: a cross-sectional pilot study. BMC Geriatr 22, 137 (2022).

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  • Muscle ultrasound
  • Forearm muscle thickness
  • Intra-rater reliability
  • Inter-rater reliability
  • Ultrasound feasibility