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Mobilization with movement (MWM) and myofascial release (MFR) are treatment techniques that increase ankle dorsiflexion range of motion (DFROM). Manual lymphatic drainage (MLD) facilitates waste drainage and improves soft tissue tension in peripheral tissues. To date, no studies have investigated how the combination of MLD, MWM, and MFR influences the human body. The purpose of this study is to determine how the combination of MLD, MWM, and MFR affects DFROM and balance ability. We randomly assigned 16 individuals (26 feet) to one of three groups: MWM-MFR (MR), MWM-MLD (MD), or MWM-MFR-MLD (MRD) intervention. To confirm the intervention effect of each group, DFROM was assessed using a modified lunge test, and dynamic balance was measured using a modified star excursion balance test. In the results, differences were found between the MR and MRD groups in PL and mGCM activities in the 1 section ( = 0.008, = 0.036) and between the MD and MRD groups in mGCM activity in the 4 and 5 sections ( = 0.049, = 0.004). We suggest that the application of MRD is the most effective intervention for increasing muscle activation of the PL and mGCM during the modified star excursion balance test.
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http://dx.doi.org/10.3390/healthcare12101038 | DOI Listing |
JBJS Rev
September 2025
Joondalup Health Campus, Joondalup, Australia.
Background: Postoperative swelling is a common complication after total knee arthroplasty (TKA), associated with pain, limited mobility, and delayed recovery. This study aimed to systematically review the literature on interventions that reduce postoperative swelling, categorized into preoperative, intraoperative, and postoperative phases.
Methods: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses-compliant search of PubMed, Medline, Embase, and Cochrane databases was performed for clinical studies evaluating interventions to reduce swelling after primary TKA.
J Neuroimaging
September 2025
Jefferson Headache Center, Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Background And Purpose: Diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) has emerged as a promising noninvasive method for evaluating water motion that may reflect glymphatic system function. However, the reliability of DTI-ALPS measurements across different region-of-interest (ROI) selection methods remains underinvestigated. This study aimed to assess the interrater reliability among three neuroradiologists in native space and compare DTI-ALPS indices derived from ROIs placed in subjects' native space versus standardized Montreal Neurological Institute (MNI) space.
View Article and Find Full Text PDFMedicina (Kaunas)
July 2025
Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy.
Breast cancer therapy is a common cause of lymphedema. The accumulation of protein-rich fluid in the affected extremity leads to a progressive path-swelling, inflammation, and fibrosis-namely, irreversible changes. A scientific literature analysis was performed on PubMed/Medline, Scopus, Web of Science (WoS), the Cochrane Central Register of Controlled Trials (CENTRAL), and the Physiotherapy Evidence Database (PEDro) from inception until 30 June 2024.
View Article and Find Full Text PDFBMJ Open
August 2025
Art Clinic, Uppsala, Sweden.
Objectives: To identify research priorities related to the diagnosis, treatment and management of lipoedema.
Design: This was a research question priority-setting that ensured the involvement of patients, relatives and healthcare professionals in all parts. It consisted of the following steps: identifying research questions through an open survey, seeking input from patients, patient relatives and healthcare professionals.
Cancer Imaging
August 2025
Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin, China. tjl
Background: Accurate preoperative assessment of occult lymph node metastasis (OLNM) plays a crucial role in informing therapeutic decision-making for lung cancer patients. Computed tomography (CT) is the most widely used imaging modality for preoperative work-up. The aim of this study was to develop and validate a CT-based machine learning model integrating intra-and peri-tumoral features to predict OLNM in lung cancer patients.
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