Musculoskeletal modeling is a powerful tool to quantify biomechanical factors typically not feasible to measure , such as hip contact forces and deep muscle activations. While technological advancements in musculoskeletal modeling have increased accessibility, selecting the appropriate modeling approach for a specific research question, particularly when investigating pathological populations, has become more challenging. The purposes of this review were to summarize current modeling and simulation methods in structural hip disorder research, as well as evaluate model validation and study reproducibility. MEDLINE and Web of Science were searched to identify literature relating to the use of musculoskeletal models to investigate structural hip disorders (i.e., involving a bony abnormality of the pelvis, femur, or both). Forty-seven articles were included for analysis, which either compared multiple modeling methods or applied a single modeling workflow to answer a research question. Findings from studies comparing methods were summarized, such as the effect of generic versus patient-specific modeling techniques on model-estimated hip contact forces or muscle forces. The review also discussed limitations in validation practices, as only 11 of the included studies conducted a validation and used qualitative approaches only. Given the lack of information related to model validation, additional details regarding the development and validation of generic models were retrieved from references and modeling software documentation. To address the wide variability and under-reporting of data collection, data processing, and modeling methods highlighted in this review, we developed a template that researchers can complete and include as a table within the methodology section of their manuscripts. The use of this table will help increase transparency and reporting of essential details related to reproducibility and methods without being limited by word count restrictions. Overall, this review provides a comprehensive synthesis of modeling approaches that can help researchers make modeling decisions and evaluate existing literature.
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http://dx.doi.org/10.1016/j.heliyon.2024.e35007 | DOI Listing |
Front Bioeng Biotechnol
January 2025
College of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Introduction: Aging-related deficits in the physiological properties of skeletal muscles limit the control of dynamic stability during walking. However, the specific causal relationships between these factors remain unclear. This study evaluated the effects of aging-related deficits in muscle properties on dynamic stability during walking.
View Article and Find Full Text PDFBMC Med Res Methodol
January 2025
Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere Universities, Tampere, Finland.
Background And Method: This study set out to identify the factors and combinations of factors associated with the individual's premature death, using data from the Finnish Longitudinal Study on Ageing Municipal Employees (FLAME) which involved 6,257 participants over a 29-year follow-up period. Exact dates of death were obtained from the Finnish population register. Premature death was defined as a death occurring earlier than the age- and sex-specific actuarial life expectancy indicated by life tables for 1981, as the baseline, with the threshold period of nine months.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Fudan University School of Nursing, Shanghai, China and Fudan University Centre for Evidence-Based Nursing: A Joanna Briggs Institute Centre of Excellence, 305 Fenglin Rd, Shanghai, 200032, China.
Purpose: Aromatase inhibitor-associated musculoskeletal symptoms (AIMSS) are the most common adverse effects experienced by breast cancer patients. This scoping review aimed to systematically synthesize the predictors/risk factors and outcomes of AIMSS in patients with early-stage breast cancer.
Methods: A systematic search was conducted in PubMed, Web of Science, EMBASE, CINAHL, and the China National Knowledge Internet (CNKI) from inception to December 2024 following the scoping review framework proposed by Arksey and O'Malley (2005).
J Biomech
January 2025
Walker Department of Mechanical Engineering, The University of Texas at Austin Austin TX USA.
Skipping represents a training alternative to running due to its lower knee contact forces and higher whole-body metabolic cost. The increased metabolic cost of skipping is associated with a higher vertical center-of-mass (COM) displacement during the support and flight phases of the skipping hop compared to running. However, skipping has lower muscle force impulses than running.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Introduction: Benign and malignant myxoid soft tissue tumors have shared clinical, imaging, and histologic features that can make diagnosis challenging. The purpose of this study is comparison of the diagnostic performance of a radiomic based machine learning (ML) model to musculoskeletal radiologists.
Methods: Manual segmentation of 90 myxoid soft tissue tumors (45 myxomas and 45 myxofibrosarcomas) was performed on axial T1, and T2FS or STIR magnetic resonance imaging sequences.
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