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Photobiomodulation therapy as an additional method for the treatment of temporomandibular disorder patients- a narrative review.

Lasers Med Sci

January 2025

Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, WITS University, South Africa.

The photobiomodulation therapy (PBMT) is promising additional therapy in the treatment of temporomandibular disorder (TMD). In this regard, the purpose of this narrative review is to give a wide-ranging, objective, and judicious view of the current knowledge on PBMT as an additional TMD treatment modality, with summarised updated information. Although the results of most research studies report improvement of pain in TMD patients, some state that sustainability of absence of pain after PBMT of TMD is of concern.

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Background: Several head-to-head meta-analyses have compared the efficacy and safety of different first-line treatments in patients with EGFR mutation-positive (M+) advanced or metastatic non-squamous non-small cell lung cancer (nsq-NSCLC). However, there is a lack of comprehensive evaluation encompassing multiple treatment strategies. Our objective is to conduct a network meta-analysis that includes various treatment modalities, enabling both direct and indirect comparisons for a more thorough assessment.

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Objective: Thoracic outlet syndrome (TOS) is caused by compression of the neurovascular bundle at the thoracic outlet which often poses a diagnostic challenge. Patient management is often based on surgeon choice and experience. This study aims to describe practices relating to the diagnosis and management of TOS in the UK over a 1-year period.

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We retrospectively analyzed a large international cohort of 1113 patients with aplastic anemia to evaluate treatment choice and outcome in elderly patients as compared with a younger population. Overall, 319 (29%) patients were > 60 years old at diagnosis (60-64 years (n = 85), 106 65-69 years (n = 106), and 128 > 70 years (n = 128)). Elderly patients showed a more severe thrombocytopenia at onset and a significantly lower overall response (complete plus partial) to first-line therapy at 6 months as compared to younger patients (47% vs.

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Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.

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