Evidence map›Paper›PMID 42620620›Full record

ArticleFrontiers in medicine2026

Muscle ultrasound and shear wave elastography for screening sarcopenia in patients undergoing maintenance hemodialysis: a prospective study.

Jinxiao Chen, Yaqin Feng, Yamie Xie, Lixia You, Linyan Ke

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jinxiao Chen *Department of Ultrasound, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, China.
Yaqin Feng *Department of Ultrasound, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, China.
Yamie XieDepartment of Radiology, Jinjiang Municipal Hospital, Jinjiang City, Fujian, China.
Lixia YouZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Linyan KeDepartment of Ultrasound, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sarcopenia is highly prevalent among patients undergoing maintenance hemodialysis (MHD) and is associated with adverse clinical outcomes. However, practical and reliable screening tools remain limited. This study aimed to evaluate the feasibility and diagnostic value of musculoskeletal ultrasound for sarcopenia assessment in MHD patients. Methods: In this prospective single-center study, 126 patients undergoing chronic hemodialysis were classified into sarcopenia and non-sarcopenia groups according to established diagnostic criteria. Musculoskeletal ultrasound and shear wave elastography (SWE) were performed to assess morphological and mechanical properties of multiple muscle groups, including the rectus femoris, vastus intermedius, rectus abdominis, medial gastrocnemius, and biceps brachii. Measurement repeatability was evaluated using intraclass correlation coefficients (ICCs). Independent predictors of sarcopenia were identified using multivariable logistic regression, and diagnostic performance was assessed using receiver operating characteristic (ROC) analysis. Results: Ultrasound measurements demonstrated excellent reproducibility, with ICCs ranging from 0.869 to 0.995. Compared with non-sarcopenic patients, those with sarcopenia exhibited significant alterations in several ultrasound-derived muscle parameters, particularly rectus femoris cross-sectional area (RF-CSA), rectus femoris shear wave velocity (RF-SWV), and biceps brachii measurements. In the conventional ultrasound model, sex, hemodialysis duration, RF-CSA, BB-SFT, and BB-CSA were identified as independent predictors of sarcopenia, achieving an area under the curve (AUC) of 0.944. After incorporating SWE parameters, duration of hemodialysis, RF-CSA, and RF-SWV remained significant predictors, and combined model demonstrated improved discriminative performance (AUC = 0.994). Conclusion: Musculoskeletal ultrasound demonstrated good reproducibility and promising diagnostic performance for identifying sarcopenia in patients undergoing maintenance hemodialysis. The addition of shear wave elastography may further improve screening performance. These findings suggest that ultrasound-based assessment may serve as a practical and noninvasive screening approach for sarcopenia in this population, although further validation in larger multicenter cohorts is warranted.

Indexed as

elasticity imaging techniquesnutritional statusrenal dialysissarcopeniaultrasonography

Identifiers

PMID42620620
PMCPMC13485515

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