Objective: To measure agreement of plus disease diagnosis among retinopathy of prematurity (ROP) experts.
Methods: A set of 34 wide-angle retinal photographs from infants with ROP was compiled on a secure Web site and was interpreted independently by 22 recognized ROP experts. Diagnostic agreement was analyzed using 3-level (plus, pre-plus, or neither) and 2-level (plus or not plus) categorizations.
Results: In the 3-level categorization, all experts agreed on the same diagnosis in 4 of 34 images (12%), and the mean weighted kappa statistic for each expert compared with all others was between 0.21 and 0.40 (fair agreement) for 7 experts (32%) and between 0.41 and 0.60 (moderate agreement) for 15 experts (68%). In the 2-level categorization, all experts who provided a diagnosis agreed in 7 of 34 images (21%), and the mean kappa statistic for each expert compared with all others was between 0 and 0.20 (slight agreement) for 1 expert (5%), between 0.21 and 0.40 (fair agreement) for 3 experts (14%), between 0.41 and 0.60 (moderate agreement) for 12 experts (55%), and between 0.61 and 0.80 (substantial agreement) for 6 experts (27%).
Conclusions: Interexpert agreement of plus disease diagnosis is imperfect. This may have important implications for clinical ROP management, continued refinement of the international ROP classification system, development of computer-based diagnostic algorithms, and implementation of ROP telemedicine systems.
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http://dx.doi.org/10.1001/archopht.125.7.875 | DOI Listing |
Int J Nurs Knowl
December 2024
Professor of Department of Nursing, Faculty of Nursing, Physiotherapy and Podiatry at the University of Seville, Seville, Spain.
Objective: To increase the level of evidence available for the nursing diagnosis "Frail Elderly Syndrome 000257" through content validation by nurses with expertise in caring for the elderly.
Method: Diagnostic content validation study in accordance with Fehring's proposal composed of two stages: integrative review of the literature according to Whittemore and Knafl's guidelines, which allowed us to update the diagnostic components, and, subsequently, expert consensus study by means of the Delphi method. A total of 61 nurses who met the inclusion criteria were included.
Eur J Radiol
December 2024
Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiology, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin, Germany Berlin Institute of Health, Berlin, Germany. Electronic address:
Background: The Prostate Imaging-Reporting and Data System (PI-RADS) calls for reporting the prostate index lesion and the location within the transition (TZ) or peripheral zone (PZ) and location on a corresponding sector map. The aim of this study was to train a deep learning DL-based algorithm for automatic prostate sector mapping and to validate its' performance.
Methods: An automatic 24-sector grid-map (ASG) of the prostate was developed, based on an automatic zone-specific deep learning segmentation of the prostate.
Invest Radiol
October 2024
From the Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, University Zurich, Zurich, Switzerland (B.K., F.E., J.K., T.F., L.J.); Advanced Radiology Center, Department of Diagnostic Imaging and Oncological Radiotherapy, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy (C.S., A.R.L.); and Section of Radiology, Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore, Rome, Italy (A.R.L.).
Objectives: The aim of this study was to evaluate the feasibility and efficacy of visual scoring, low-attenuation volume (LAV), and deep learning methods for estimating emphysema extent in x-ray dose photon-counting detector computed tomography (PCD-CT), aiming to explore future dose reduction potentials.
Methods: One hundred one prospectively enrolled patients underwent noncontrast low- and chest x-ray dose CT scans in the same study using PCD-CT. Overall image quality, sharpness, and noise, as well as visual emphysema pattern (no, trace, mild, moderate, confluent, and advanced destructive emphysema; as defined by the Fleischner Society), were independently assessed by 2 experienced radiologists for low- and x-ray dose images, followed by an expert consensus read.
Drugs Aging
December 2024
Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Introduction: Medication regimen complexity may be an important risk factor for adverse outcomes in older adults with heart failure. However, increasing complexity is often necessary when prescribing guideline-directed medical therapy at the time of a heart failure hospitalization. We sought to determine whether increased medication regimen complexity following a heart failure hospitalization was associated with worse post-hospitalization outcomes.
View Article and Find Full Text PDFJ Palliat Med
December 2024
Palliative Care Service, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain.
The needs of patients living with malignant neoplasm, and those of their families and care partners, require a multidimensional and interdisciplinary approach. By systematically assessing these needs with validated tools, healthcare professionals can identify and monitor therapeutic objectives, interventions, and results. At the Catalan Institute of Oncology (ICO), we set out to update the ICO Toolkit-a set of instruments for assessing the physical, emotional, and social needs of palliative care patients.
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