Objective: To assess the influence of clinical, psychological, and psychophysical variables on treatment outcomes after application of exercise combined with education with/without manual therapy in people with tinnitus associated with temporomandibular disorder (TMD).
Methods: A secondary analysis of a clinical trial was performed investigating the effectiveness of including cervico-mandibular manual therapy into an exercise combined with education program in 61 subjects with TMD-related tinnitus. Clinical outcomes including tinnitus severity and tinnitus-related handicap were assessed at 3 and 6 months post-intervention. Patients were assessed at baseline for clinical (tinnitus severity, tinnitus-related handicap, quality of life), physical (range of motion), psychological (depression), and psychophysical (pressure pain thresholds [PPTs]) variables that were included as predictors.
Results: The regression models indicated that higher scores of tinnitus severity at baseline predicted better outcomes 3 and 6 months post-intervention (explaining 13% to 41% of the variance) in both groups. Higher scores of tinnitus-related handicap at baseline predicted better outcome of tinnitus-related handicap (45% variance) in the manual therapy with exercise/education group. Lower PPTs over the temporalis muscle at baseline predicted poorer clinical outcomes (10.5% to 41% of the variance) in both groups. Other predictors were sex and quality of life (6.7% variance) in the manual therapy group and PPTs over the masseter muscle (5.8% variance) in the exercise/education group.
Conclusion: This study found that baseline tinnitus severity and localized PPT over the temporalis muscle were predictive of clinical outcomes in individuals with TMD-related tinnitus following physical therapy. Other predictors (eg, sex, quality of life) were less influential.
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http://dx.doi.org/10.1111/papr.12919 | DOI Listing |
Radiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
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January 2025
Department of Oral Medical Science and Biotechnology, Physical and Rehabilitation Medicine, BIND, CARES, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy.
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January 2025
College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.
Objectives: This study aimed to investigate and review the effects of mirror therapy on upper limb function, including improvements in shoulder, elbow, forearm, wrist, and hand function, as well as coordination between the upper extremities, in patients with stroke.
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