The purpose of this study is to determine the interrater reliability of dynamic muscle tests in the early rehabilitation phase in women after breast cancer surgery with axillary lymph node dissection (ALND) based on the "preventive intervention against lymphedema after breast cancer" (LYCA) randomised controlled trial. Fifteen women treated with breast cancer surgery including ALND were recruited from participants in the LYCA trial. In this interrater reliability study, women were tested in 4 dynamic muscle tests by 2 physiotherapists at a Capital Hospital in Denmark. Intraclass correlation coefficients (ICCs) with 95% confidence intervals (CIs) was used to assess the relative reliability between raters. A Bland-Altman plot and limits of agreement were calculated to describe the absolute reliability. All 6 subtests displayed high interrater reliability. ICC values were: leg press 0.96 (95% CI = 0.87-0.99), elbow flexion (contralateral) 0.94 (0.83-0.98), elbow flexion (affected arm) 0.93 (0.80-0.98), elbow extension 0.80 (0.41-0.93), shoulder abduction (contralateral) 0.89 (0.68-0.96), and shoulder abduction (affected arm) 0.91 (0.74-0.97). Cumulated interrater reliability for the test battery was very high (ICC = 0.99, 95% CI = 0.990-1.0). The absolute reliability of this study was considered high, and the absence of large shifts between mean and the line of 0 difference suggest no systematic bias that could influence clinical interpretation. The dynamic muscle tests evaluated in this study had high interrater reliability and can be used reliably in women in the postoperative phase after breast cancer surgery with ALND.
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http://dx.doi.org/10.1177/1534735420903801 | DOI Listing |
Front Neurol
December 2024
CLAIM - Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
Introduction: Radiological scores used to assess the extent of subarachnoid hemorrhage are limited by intrarater and interrater variability and do not utilize all available information from the imaging. Image segmentation enables precise identification and delineation of objects or regions of interest and offers the potential for automatization of score assessments using precise volumetric information. Our study aims to develop a deep learning model that enables automated multiclass segmentation of structures and pathologies relevant for aneurysmal subarachnoid hemorrhage outcome prediction.
View Article and Find Full Text PDFCureus
December 2024
Department of Otolaryngology - Head and Neck Surgery, Ohud Hospital, Medina, SAU.
Introduction The internet is a crucial source of health information, including cancer-related topics, but the quality and reliability of these resources can vary, affecting patient decision-making. Objectives This study aimed to evaluate the quality of thyroid cancer-related websites in the Arabic language, using the DISCERN tool, and explore the content and sources provided by different types of websites. Methods A total of 78 websites were included after excluding 21 based on predefined criteria (e.
View Article and Find Full Text PDFEur J Radiol
December 2024
Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, PO Box 5800, 6202 AZ Maastricht, the Netherlands; Mental Health and Sciences (MHeNs) Research Institute, Maastricht University, PO Box 616, 6200 MD Maastricht, the Netherlands.
Objectives: Photon-counting detector CT (PCD-CT) is expected to substantially improve and expand CT-imaging applicability due to its intrinsic spectral capabilities, increased spatial resolution, reduced electronic noise, and improved image contrast. The current study aim is to evaluate PCD-CT efficacy in characterizing bullets based on their dimensions, shape, and material composition.
Materials And Methods: This is an observational phantom study examining 11 unfired, intact bullets of various common calibers, placed in ballistic gelatin.
BMC Med Educ
December 2024
Department of Community and Family Medicine, All India Institute of Medical Sciences, Patna, India.
Background: Despite the increasing integration of competency-based education in medicine, there remains a significant gap in effectively assessing educational outcomes, underscoring the urgent need for designed assessment blueprints that accurately reflect both curriculum content and competency standards in Community Medicine for undergraduate students. This study, conducted across the All-India Institute of Medical Sciences (AIIMS) network, develops a summative assessment blueprint aimed at standardizing evaluations in medical education across diverse geographic locations in India.
Methods: Twenty-five experts from 10 All India Institutes of Medical Science were invited via email and contributed for summative assessment for a theory paper.
Sci Rep
December 2024
Department of Psychology, University of Arizona, 1503 E University Blvd, Tucson, AZ, 85721, USA.
Human imagination has garnered growing interest in many fields. However, it remains unclear how to characterize different forms of imaginative thinking and how imagination differs between young and older adults. Here, we introduce a novel scoring protocol based on recent theoretical developments in the cognitive neuroscience of imagination to provide a broad tool with which to characterize imaginative thinking.
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