Muscle Assessment by Ultrasonography: Agreement with Dual-Energy X-Ray Absorptiometry (DXA) and Relationship with Physical Performance

Álvarez, Marta Neira; Ronda, M A Vázquez; Rangel, Llanos Soler; Thuissard-Vasallo, I.J.; Andreu‐Vázquez, Cristina; Lorite, I Rábago; Martín, G Serralta San

doi:10.1007/s12603-021-1669-4

Cited by 12 publications

(17 citation statements)

References 34 publications

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“…Finally, we included 17 studies with a total of 2143 participants in this review. [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]…”

Section: Results Of Study Selectionmentioning

confidence: 99%

“…Muscle thickness for diagnosing sarcopenia Gastrocnemius muscle thickness Nine studies [23][24][25][26][27][28][29][30]38 assessed the diagnostic value of gastrocnemius MT for sarcopenia. The sensitivity ranged from 70% to 100%, and the specificity ranged from 16% to 85%.…”

Section: Results Of Diagnostic Test Accuracymentioning

confidence: 99%

“…We excluded 89 studies for the reasons listed in Figure . Finally, we included 17 studies with a total of 2143 participants in this review 23–39 …”

Section: Resultsmentioning

confidence: 99%

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Diagnostic test accuracy of ultrasound for sarcopenia diagnosis: A systematic review and meta‐analysis

Wang

Zhang

et al. 2022

J cachexia sarcopenia muscle

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Muscle ultrasound is an emerging tool for diagnosing sarcopenia. This review aims to summarize the current knowledge on the diagnostic test accuracy of ultrasound for the diagnosis of sarcopenia. We collected data from Ovid Medline, Embase and the Cochrane Central Register of Controlled Trials. Diagnostic test accuracy studies using muscle ultrasound to detect sarcopenia were included. Bivariate random‐effects models based on sensitivity and specificity pairs were used to calculate the pooled estimates of sensitivity, specificity and the area under the curves (AUCs) of summary receiver operating characteristic (SROC), if possible. We screened 7332 publications and included 17 studies with 2143 participants (mean age range: 52.6–82.8 years). All included studies had a high risk of bias. The study populations, reference standards and ultrasound measurement methods varied across the studies. Lower extremity muscles were commonly studied, whereas muscle thickness (MT) was the most widely measured parameter, followed by the cross‐sectional area (CSA). The MTs of the gastrocnemius, rectus femoris, tibialis anterior, soleus, rectus abdominis and geniohyoid muscles showed a moderate diagnostic accuracy for sarcopenia (SROC‐AUC 0.83, 8 studies; SROC‐AUC 0.78, 5 studies; AUC 0.82, 1 study; AUC 0.76–0.78, 2 studies; AUC 0.76, 1 study; and AUC 0.79, 1 study, respectively), whereas the MTs of vastus intermedius, quadriceps femoris and transversus abdominis muscles showed a low diagnostic accuracy (AUC 0.67–0.71, 3 studies; SROC‐AUC 0.64, 4 studies; and AUC 0.68, 1 study, respectively). The CSA of rectus femoris, biceps brachii muscles and gastrocnemius fascicle length also showed a moderate diagnostic accuracy (AUC 0.70–0.90, 3 studies; 0.81, 1 study; and 0.78–0.80, 1 study, respectively), whereas the echo intensity (EI) of rectus femoris, vastus intermedius, quadriceps femoris and biceps brachii muscles showed a low diagnostic accuracy (AUC 0.52–0.67, 2 studies; 0.48–0.50, 1 study; 0.43–0.49, 1 study; and 0.69, 1 study, respectively). The combination of CSA and EI of biceps brachii or rectus femoris muscles was better than either CSA or EI alone for diagnosing sarcopenia. Muscle ultrasound shows a low‐to‐moderate diagnostic test accuracy for sarcopenia diagnosis depending on different ultrasound parameters, measured muscles, reference standards and study populations. The combination of muscle quality indicators (e.g., EI) and muscle quantity indicators (e.g., MT) might provide better diagnostic test accuracy.

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“…Finally, we included 17 studies with a total of 2143 participants in this review. [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]…”

Section: Results Of Study Selectionmentioning

confidence: 99%

Section: Results Of Diagnostic Test Accuracymentioning

confidence: 99%

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Diagnostic test accuracy of ultrasound for sarcopenia diagnosis: A systematic review and meta‐analysis

Wang

Zhang

et al. 2022

J cachexia sarcopenia muscle

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“…Ultrasound echography with a 10‐MHz linear array probe (Miruco; Nihon Sigmax Corporation) was used to obtain images of the medial gastrocnemius muscle. The subcutaneous fat and muscle thickness (in millimeters) of the medial gastrocnemius muscle was defined as the distance from the skin surface to the subcutaneous layer and the muscle layer from the subcutaneous layer to the deep fascia, respectively 15 . The medial gastrocnemius intramuscular adipose tissue content at admission was assessed from echographic intensity 16 .…”

Section: Methodsmentioning

confidence: 99%

“…The subcutaneous fat and muscle thickness (in millimeters) of the medial gastrocnemius muscle was defined as the distance from the skin surface to the subcutaneous layer and the muscle layer from the subcutaneous layer to the deep fascia, respectively. 15 The medial gastrocnemius intramuscular adipose tissue content at admission was assessed from echographic intensity. 16 The validity of ultrasound echography for measuring intramuscular adipose tissue and muscle mass has been proved by several magnetic resonance imaging studies.…”

Section: Measurements Of Medial Gastrocnemius Intramuscular Adipose T...mentioning

confidence: 99%

Association of medial gastrocnemius adiposity with poststroke severe malnutrition and functional performance of activities of daily living in older patients: A prospective analysis

et al. 2022

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Background: Relationships among medial gastrocnemius intramuscular adipose tissue, nutrition status, and functional outcomes of patients after a stroke are unknown. This study was conducted to determine the relationship between nutrition status and gastrocnemius intramuscular adipose tissue and whether medial gastrocnemius intramuscular adipose tissue affects functional outcomes of older patients after a stroke.Methods: This prospective cohort study included 217 patients with stroke. Nutrition status was evaluated by the Global Leadership Initiative on Malnutrition. The medial gastrocnemius intramuscular adipose tissue was assessed using ultrasound echographic intensity. Multivariate linear regression analysis was used to determine the relationship between nutrition status at admission and medial gastrocnemius intramuscular adipose tissue. Furthermore, we examined the influence of medial gastrocnemius intramuscular adipose tissue on the Functional Independence Measure (FIM)-motor score at discharge and FIM-motor efficiency, which indicates FIM-motor changes during the hospital stay.Results: Severe malnutrition had a positive influence on medial gastrocnemius intramuscular adipose tissue on the nonparalyzed side (β = 0.175; P = 0.044). Additionally, the medial gastrocnemius intramuscular adipose tissue on the nonparalyzed side was negatively correlated with the FIM-motor score at discharge (β = −0.102; P = 0.005) and FIM-motor efficiency (β = −0.273; P = 0.005).

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Emergence of imaging technology beyond the clinical setting: Utilization of mobile health tools for at‐home testing

Starkoff,

Nickerson

2024

Nut in Clin Prac

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Body composition assessment plays a pivotal role in understanding health, disease risk, and treatment efficacy. This narrative review explores two primary aspects: imaging techniques, namely ultrasound (US) and dual‐energy x‐ray absorptiometry (DXA), and the emergence of artificial intelligence (AI) and mobile health apps in telehealth for body composition. Although US is valuable for assessing subcutaneous fat and muscle thickness, DXA accurately quantifies bone mineral content, fat mass, and lean mass. Despite their effectiveness, accessibility and cost remain barriers to widespread adoption. The integration of AI‐powered image analysis may help explain tissue differentiation, whereas mobile health apps offer real‐time metabolic monitoring and personalized feedback. New apps such as MeThreeSixty and Made Health and Fitness offer the advantages of clinic‐based imaging techniques from the comfort of home. These innovations hold the potential for individualizing strategies and interventions, optimizing clinical outcomes, and empowering informed decision‐making for both healthcare professionals and patients/clients. Navigating the intricacies of these emerging tools, critically assessing their validity and reliability, and ensuring inclusivity across diverse populations and conditions will be crucial in harnessing their full potential. By integrating advancements in body composition assessment, healthcare can move beyond the limitations of traditional methods and deliver truly personalized, data‐driven care to optimize well‐being.

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Muscle Assessment by Ultrasonography: Agreement with Dual-Energy X-Ray Absorptiometry (DXA) and Relationship with Physical Performance

Cited by 12 publications

References 34 publications

Diagnostic test accuracy of ultrasound for sarcopenia diagnosis: A systematic review and meta‐analysis

Diagnostic test accuracy of ultrasound for sarcopenia diagnosis: A systematic review and meta‐analysis

Association of medial gastrocnemius adiposity with poststroke severe malnutrition and functional performance of activities of daily living in older patients: A prospective analysis

Emergence of imaging technology beyond the clinical setting: Utilization of mobile health tools for at‐home testing

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