Shared Decision-Making in Total Hip and Knee Arthroplasty: Understanding Surgeon and Patient Perspectives Regarding When It Is Time for Surgery.

Background: Although total hip and total knee arthroplasty are highly successful operations, the decision of whether and when to undergo surgery is highly subjective and discretionary, and specific guidelines regarding readiness for surgery remain elusive. The nature of these decisions underscores the importance of shared decision-making, which is founded on the concept that patients substantially contribute to determining their own readiness for surgery. The OPTION survey was developed as a conversation aid to facilitate shared decision-making in the context of total joint arthroplasty.

Quality assessment and control of unprocessed anatomical, functional, and diffusion MRI of the human brain using .

Quality control of MRI data prior to preprocessing is fundamental, as substandard data are known to increase variability spuriously. Currently, no automated or manual method reliably identifies subpar images, given pre-specified exclusion criteria. In this work, we propose a protocol describing how to carry out the visual assessment of T1-weighted, T2-weighted, functional, and diffusion MRI scans of the human brain with the visual reports generated by .

The BK (slo) channel regulates the cardiac function of Drosophila.

The large conductance, calcium, and voltage-active potassium channels (BK) were originally discovered in Drosophila melanogaster as slowpoke (slo). They are extensively characterized in fly models as ion channels for their roles in neurological and muscular function, as well as aging. BK is known to modulate cardiac rhythm and is localized to the mitochondria.

Quality control in functional MRI studies with MRIQC and fMRIPrep.

The implementation of adequate quality assessment (QA) and quality control (QC) protocols within the magnetic resonance imaging (MRI) research workflow is resource- and time-consuming and even more so is their execution. As a result, QA/QC practices highly vary across laboratories and "MRI schools", ranging from highly specialized knowledge spots to environments where QA/QC is considered overly onerous and costly despite evidence showing that below-standard data increase the false positive and false negative rates of the final results. Here, we demonstrate a protocol based on the visual assessment of images one-by-one with reports generated by MRIQC and fMRIPrep, for the QC of data in functional (blood-oxygen dependent-level; BOLD) MRI analyses.