• MacLeod Dowling posted an update 6 months, 3 weeks ago

    tive option for treating symptoms of GSM, including vaginal burning, dryness, and dyspareunia. The improvement in symptoms was comparable with that seen with topical estrogen therapy and lasted for at least 6-12 months posttreatment. Lasers Surg. Med. © 2020 Wiley Periodicals LLC.

    Fractional CO2 laser vaginal treatment could be a safe and effective option for treating symptoms of GSM, including vaginal burning, dryness, and dyspareunia. The improvement in symptoms was comparable with that seen with topical estrogen therapy and lasted for at least 6-12 months posttreatment. Lasers Surg. Med. © 2020 Wiley Periodicals LLC.Selective attention is the ability to focus on goal-relevant information while filtering out irrelevant information. This work examined the development of selective attention to natural scenes and objects with a rapid serial visual presentation paradigm. Children (N = 69, ages 4-6 years) and adults (N = 80) were asked to attend to either objects or scenes, while ignoring the other type of stimulus. A multinomial processing tree model was used to decompose selective attention into focusing and filtering components. The results suggest that attention is object-biased in children, due to difficulty filtering attention to goal-irrelevant objects, whereas attention in adults is relatively unbiased. The findings suggest important developmental asymmetries in selective attention to scenes and objects.Whole slide imaging, which is an important technique in the field of digital pathology, has recently been the subject of increased interest and avenues for utilisation, and with more widespread whole slide image (WSI) utilisation, there will also be increased interest in and implementation of image analysis (IA) techniques. 6-Thio-dG DNA inhibitor IA includes artificial intelligence (AI) and targeted or hypothesis-driven algorithms. In the overall pathology field, the number of citations related to these topics has increased in recent years. Renal pathology is one anatomical pathology subspecialty that has utilised WSIs and IA algorithms; it can be argued that renal transplant pathology could be particularly suited for whole slide imaging and IA, as renal transplant pathology is frequently classified by use of the semiquantitative Banff classification of renal allograft pathology. Hypothesis-driven/targeted algorithms have been used in the past for the assessment of a variety of features in the kidney (e.g. interstitial fibrosis, tubular atrophy, inflammation); in recent years, the amount of research has particularly increased in the area of AI/machine learning for the identification of glomeruli, for histological segmentation, and for other applications. Deep learning is the form of machine learning that is most often used for such AI approaches to the ‘big data’ of pathology WSIs, and deep learning methods such as artificial neural networks (ANNs)/convolutional neural networks (CNNs) are utilised. Unsupervised and supervised AI algorithms can be employed to accomplish image or semantic classification. In this review, AI and other IA algorithms applied to WSIs are discussed, and examples from renal pathology are covered, with an emphasis on renal transplant pathology.

    Painful temporomandibular (TM) disorders result in 4.3 billion dollars spent annually in the United States. The complex interplay of physiological processes in persistent pain and dysfunctional sleep has been established. Recently, dysfunctional sleep has been identified as a potential pathway to the onset of painful TM disorder.

    The aims were to (1) identify self-report outcome measures (SROMs) of sleep quality that are clinimetrically sound in patients with painful TM disorders and (2) determine whether sleep dysfunction has any diagnostic or prognostic value for this population.

    A systematic search following PRISMA guidelines was run in six databases CINAHL, Dental, PsychALL, PubMed, Scopus and Web of Science. Any study involving minors was excluded. Risks of biases were examined in all studies. Diagnostic pooled findings were reported.

    Of the identified articles (n=681), 18 were included in this systematic review (n=1 clinimetric studies, n=11 diagnostic studies, n=6 prognostic studies). Nine different assessment tools were used; only the Pittsburg Sleep Quality Index (PSQI) has been validated in patients with painful TM disorders. Overall, sleep dysfunction was diagnostic for painful TM disorders. The pooled relative risk of sleep dysfunction was 1.71 (95% CI 1.30. 2.26). When PSQI scores were greater than 5/21, the unadjusted hazard ratio for development of painful TM disorders was reported to be 2.1.

    At present, the only SROM that has diagnostic and prognostic value in evaluating and managing patients with painful TM disorders is the PSQI.

    At present, the only SROM that has diagnostic and prognostic value in evaluating and managing patients with painful TM disorders is the PSQI.

    Deep brain stimulation of the subthalamic nucleus is a widely used adjunctive therapy for motor symptoms of Parkinson’s disease, but with variable motor response. Predicting motor response remains difficult, and novel approaches may improve surgical outcomes as well as the understanding of pathophysiological mechanisms. The objective of this study was to determine whether preoperative resting-state functional connectivity MRI predicts motor response from deep brain stimulation of the subthalamic nucleus.

    We collected preoperative resting-state functional MRI from 70 participants undergoing subthalamic nucleus deep brain stimulation. For this cohort, we analyzed the strength of STN functional connectivity with seeds determined by stimulation-induced (ON/OFF)

    O H

    O PET regional cerebral blood flow differences in a partially overlapping group (n = 42). We correlated STN-seed functional connectivity strength with postoperative motor outcomes and applied linear regression to predict motor outcomes.

    Preorvations suggest that integrity of pallidal-subthalamic nucleus circuits may be critical to motor benefits from deep brain stimulation. © 2020 International Parkinson and Movement Disorder Society.

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