Optimizing Rehabilitation Outcomes Through Rehabilitative Ultrasonography: Applications in Musculoskeletal Care

Rehabilitative ultrasonography (RUS) has significantly enhanced musculoskeletal care by providing real-time, detailed visualizations of muscle, tendon, and soft tissue structures. This symposium explores the diverse applications of RUS, highlighting its advantages over traditional imaging methods. In muscle rehabilitation, RUS is pivotal for assessing muscle morphology, activation patterns, and providing biofeedback, thereby optimizing personalized rehabilitation programs. For tendon injuries, RUS facilitates precise evaluation of tendon integrity, enabling accurate diagnosis, monitoring, and guiding therapeutic interventions. Beyond muscles and tendons, RUS is invaluable in diagnosing and managing soft tissue pathologies, such as ligament and fascia injuries, allowing for targeted treatment strategies. By offering superior precision, safety, and cost-effectiveness, RUS sets a new benchmark in rehabilitation practices, leading to improved patient outcomes and a deeper understanding of musculoskeletal conditions. The integration of RUS into rehabilitation medicine represents a transformative advancement in patient care and treatment efficacy.

Authors

Institutions

Publication Details

Journal
Journal of diagnostic medical sonography
Published
2024-11-20
DOI
https://doi.org/10.1177/87564793241297148
Citations
2
Primary Topic
Tendon Structure and Treatment
Type
article
Field-Weighted Citation Impact
0.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Rehabilitation Outcomes Through Rehabilitative Ultrasonography: Applications in Musculoskeletal Care

Nabeel Hamdan Alghamdi, Stavros Daoukas, Nikos Malliaropoulos
2 citations
Journal of diagnostic medical sonography
Tendon Structure and Treatment
0.96
article

Optimizing Rehabilitation Outcomes Through Rehabilitative Ultrasonography: Applications in Musculoskeletal Care

Nabeel Hamdan Alghamdi, Stavros Daoukas, Nikos Malliaropoulos
article en
2 citations

Abstract

Rehabilitative ultrasonography (RUS) has significantly enhanced musculoskeletal care by providing real-time, detailed visualizations of muscle, tendon, and soft tissue structures. This symposium explores the diverse applications of RUS, highlighting its advantages over traditional imaging methods. In muscle rehabilitation, RUS is pivotal for assessing muscle morphology, activation patterns, and providing biofeedback, thereby optimizing personalized rehabilitation programs. For tendon injuries, RUS facilitates precise evaluation of tendon integrity, enabling accurate diagnosis, monitoring, and guiding therapeutic interventions. Beyond muscles and tendons, RUS is invaluable in diagnosing and managing soft tissue pathologies, such as ligament and fascia injuries, allowing for targeted treatment strategies. By offering superior precision, safety, and cost-effectiveness, RUS sets a new benchmark in rehabilitation practices, leading to improved patient outcomes and a deeper understanding of musculoskeletal conditions. The integration of RUS into rehabilitation medicine represents a transformative advancement in patient care and treatment efficacy.

Journal of diagnostic medical sonographyVol. 41(4)
Barking, Havering And Redbridge University Hospitals NHS Trust (GB), Queen Mary University of London (GB), King Abdulaziz University (SA), Barts Health NHS Trust (GB), Mile End Hospital (GB), London South Bank University (GB), Queen's Hospital (GB), William Harvey Research Institute (GB), Greek Association of Alzheimer's Disease and Related Disorders (GR)
Good health and well-being
Openalex Percentile: Top 25%
Tendon Structure and Treatment
0.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.