Immediate effects of rhythmic joint mobilization of the temporomandibular joint on pain,mouth opening and electromyographic activity in patients with temporomandibular disorders

BackgroundRhythmic joint mobilizations (RJM) of the temporomandibular joint (TMJ) are employed to relieve pain and improve function in patients with temporomandibular disorders (TMD). However, the evidence on the immediate effects of RJM in patients with TMD is scarce. The aim of this study was to assess the immediate clinical and functional effects of RJM in patients with TMD.Materials and methodsThis was a one-group quasi-experimental before and after study. Thirty-eight patients with TMD were assessed by means of pain intensity (visual analogue score, VAS), pressure pain threshold (PPT, measured through pressure algometry on the masseter and temporal muscles), mouth opening (MO, measured with a ruler), and surface electromyographic activity of the masseter and temporal muscles (asymmetry index, AI). Measurements were performed before and after a single, 1-min session of RJM of each TMJ. All statistical analyses were performed using the SPSS version 20.0 statistical package.ResultsA statistical significant difference was found in pain intensity, PPT and MO after the intervention (p < 0.05). No difference was found in the AI. A large effect size was observed for pain intensity, PPT of the left and right masseter muscles and MO (d = 0.85–1.13), whereas for the left and right temporal muscles the effect size was moderate (d = 0.62) and small, respectively (d = 0.49).ConclusionIn this sample of patients with TMD, a single session of RJM of the TMJ seemed to be effective in reducing pain intensity, increasing PPT and improving MO immediately after the intervention, without differences in the AI.     

Quantifying and leveraging predictive uncertainty for medical image assessment

The interpretation of medical images is a challenging task, often complicated by the presence of artifacts, occlusions, limited contrast and more. Most notable is the case of chest radiography, where there is a high inter-rater variability in the detection and classification of abnormalities. This is largely due to inconclusive evidence in the data or subjective definitions of disease appearance. An additional example is the classification of anatomical views based on 2D Ultrasound images. Often, the anatomical context captured in a frame is not sufficient to recognize the underlying anatomy. Current machine learning solutions for these problems are typically limited to providing probabilistic predictions, relying on the capacity of underlying models to adapt to limited information and the high degree of label noise. In practice, however, this leads to overconfident systems with poor generalization on unseen data. To account for this, we propose a system that learns not only the probabilistic estimate for classification, but also an explicit uncertainty measure which captures the confidence of the system in the predicted output. We argue that this approach is essential to account for the inherent ambiguity characteristic of medical images from different radiologic exams including computed radiography, ultrasonography and magnetic resonance imaging. In our experiments we demonstrate that sample rejection based on the predicted uncertainty can significantly improve the ROC-AUC for various tasks, e.g., by 8% to 0.91 with an expected rejection rate of under 25% for the classification of different abnormalities in chest radiographs. In addition, we show that using uncertainty-driven bootstrapping to filter the training data, one can achieve a significant increase in robustness and accuracy. Finally, we present a multi-reader study showing that the predictive uncertainty is indicative of reader errors.     

Role of the newly designed Ankle Foot Orthosis on balance related parametersin drop foot post stroke patients

BackgroundPassive and hybrid passive ankle foot orthoses (AFOs) are often prescribed in post stroke drop foot; however, the effects of these AFOs on balance related parameters in these patients seem unclear. Accordingly, the aim of current study was to evaluate the role of the newly designed hybrid passive and Posterior Leaf Spring (PLS) AFOs on balance related parameters including: self-reported balance confidence (ABC), Timed Up and Go Test (TUG) and Berg Balance Scale (BBS) in post stroke drop foot patients.MethodsFifteen post stroke drop foot patients were recruited in current study. Then, ABC, TUG and BBS were assessed with newly designed AFO and PLS AFO.ResultsThe results of this study were shown a significant improvement in ABC, TUG and BBS scores with the newly designed AFO than PLS AFO (p < 0.05).ConclusionThis study suggested that the newly designed AFO was improved the balance related parameters than PLS AFO.     

Cerebrotendinous xanthomatosis,sitosterolemia, Smith-Lemli-Opitz syndrome and the seminal contributions of Gerald Salen,MD (1935–2020)

Cerebrotendinous xanthomatosis (CTX), sitosterolemia, and Smith-Lemli Opitz syndrome (SLOS) are rare inborn errors of metabolism. The diagnoses of CTX and sitosterolemia are often delayed for many years because of lack of physician awareness, often resulting in significant and unnecessary progression of disease. CTX may present with chronic diarrhea, juvenile onset cataracts, strikingly large xanthomas, and neurologic disease in the setting of a normal serum cholesterol, but markedly elevated serum or plasma cholestanol levels. These patients have a defect in producing the bile acid chenodoxycholate, and oral chenodeoxycholate therapy is essential for these patients in order to prevent neurologic complications. Sitosterolemia can present with xanthomas, anemia, thrombocytopenia, splenomegaly, very premature heart disease, and serum cholesterol levels that may be normal or elevated, along with marked elevations of plasma β-sitosterol. These patients have a defect causing overabsorption of β-sitosterol, and the treatment of choice is oral ezetimibe. SLOS presents with growth delay, intellectual disability, multiple structural anomalies, and low serum cholesterol levels, and the defect is reduced cholesterol production. Treatment consists of dietary cholesterol supplementation and oral bile acid therapy which raises serum cholesterol levels and may improve symptoms. The metabolic and genetic defects in these disorders have been defined. There is no one in our field that has contributed more to the diagnosis and treatment of these disorders than Gerald Salen, MD, who died in late 2020 at 85 years of age. He will be greatly missed by his family, friends, and colleagues from around the world.