Objectives: To develop an actionable test using fluorescence capillary electrophoresis (FCE) to assess loss of heterozygosity (LOH) of histologically similar low-grade lesions (LGLs) to identify high-risk lesions for oral cancer progression.
Study Design: To determine the cutoffs of LOH, the FCE results of 52 surgical margin samples were used to compare with the existing LOH results from the previously validated P-GE approach. Using the developed FCE workflow, an independent set of 102 LGLs with known progression status was used to determine the LOH molecular risk (MR) patterns and associated risk of progression.
Results: Using 65% cutoff LOH-FCE, the agreement of LOH- P-GE had an average of 82.3% (76.8-87.8). Compared with nonprogressors (n = 61), anatomic site and MR patterns (LOH at 9 p21, 3 p14, or 17 p13) were independent risk factors. High-risk profile of tongue and MR3 (LOH at 9 p21 and/or 3 p14 and 17 p13) was significantly associated with progression (hazard ratio [HR] 6.7; 95% confidence interval [CI] 2.6-17.6) with specificity of 98.4% at identifying progressors.
Conclusions: We have developed an objective test using LOH to stratify the risk of LGLs. With further validation, it can be used in the clinical settings to provide clinicians additional information guiding the management of these lesions.
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http://dx.doi.org/10.1016/j.oooo.2017.10.019 | DOI Listing |
J Public Health Manag Pract
November 2024
Author Affiliations: Prevention Research Center, Brown School, Washington University in St. Louis, St. Louis, Missouri (Allen and Crenshaw); Department of Health Policy and Organization, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama (Fifolt); School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama (Erwin); Research and Evaluation, Public Health Accreditation Board, Alexandria, Virginia (Lang, Belflower Thomas, and Kuehnert); and Lipstein Distinguished Professor of Public Health, Prevention Research Center, Brown School, and Alvin J. Siteman Cancer Center and Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine; Washington University in St. Louis, St. Louis, Missouri (Brownson).
Context: This paper describes experiences and views of leadership teams from 4 small local health departments (LHDs) seeking Public Health Accreditation Board (PHAB) reaccreditation or Pathways Recognition using PHAB Standards & Measures Version 2022. The Pathways program launched in 2022 provides additional supports for improvement of public health practice.
Objective: Given the need to accelerate accreditation among small health departments, the purpose of this study is to share small health departments' strategies for overcoming accreditation challenges and actionable advice for use by other health departments.
Neurol Genet
December 2024
From the Division of Neurology (A.H.T., S.-Y.L.), Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Programa de Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul (P.S.-A.), Clínica Santa María, Santiago, Chile; Departamento de Farmacologia (A.F.S.S.), Universidade Federal do Rio Grande do Sul; Serviço de Neurologia (A.F.S.S.), Hospital de Clínicas de Porto Alegre, Brazil; Institute of Neurogenetics (H.M., M.L.D., C.K.), University of Lübeck, Germany; Department of Biomedical Science (A.A.-A.), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; The Michael J. Fox Foundation for Parkinson's Research (J.S., B.F.), New York; Department of Medical and Molecular Genetics (C.E.W.), Indiana University, Indianapolis; Department of Neuroscience and Brain Health (M.L.D.), Metropolitan Medical Center, Manila, Philippines; Centre for Preventive Neurology (S.D., M.T.P., A.J.N.), Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom; Unidad de Trastornos del Movimiento (M.T.P.), Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Spain; Laboratory of Neurogenetics (M.B.M.), National Institute on Aging, National Institutes of Health, Bethesda, MD; Department of Clinical and Movement Neurosciences (M.B.M., H.R.M.), UCL Queen Square Institute of Neurology, University College London, United Kingdom; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York; Movement Disorders Division (R.N.A.), Neurological Institute, Tel Aviv Sourasky Medical Center and Tel Aviv School of Medicine, Tel Aviv University, Israel; Molecular Medicine Laboratory and Neurology Department (K.R.K.), Concord Clinical School, Concord Repatriation General Hospital, The University of Sydney; Translational Neurogenomics Group (K.R.K.), Genomic and Inherited Disease Program, Garvan Institute of Medical Research; and St Vincent's Healthcare Campus (K.R.K.), Faculty of Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia.
Background And Objectives: In the era of precision medicine, genetic test results have become increasingly relevant in the care of patients with Parkinson disease (PD). While large research consortia are performing widespread research genetic testing to accelerate discoveries, debate continues about whether, and to what extent, the results should be returned to patients. Ethically, it is imperative to keep participants informed, especially when findings are potentially actionable.
View Article and Find Full Text PDFSurg Endosc
January 2025
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Objectives: This study aimed to develop an automated skills assessment tool for surgical trainees using deep learning.
Background: Optimal surgical performance in robot-assisted surgery (RAS) is essential for ensuring good surgical outcomes. This requires effective training of new surgeons, which currently relies on supervision and skill assessment by experienced surgeons.
BMJ Support Palliat Care
January 2025
Palliative Medicine, Norfolk and Norwich University Hospital NHS Trust, Norwich, Norfolk, UK.
Context: Pharmacogenomics (PGx) is an area of expanding research, which could indicate whether an individual is likely to benefit from a symptom control medication. Palliative and supportive care (PSC) could be an area that benefits from PGx, however, little is known about the current evidence base for this.
Objective: To determine how PGx can be applied in PSC, whether there is any evidence of benefit, and to understand the extent and type of evidence that supports the use of PGx in PSC.
Sensors (Basel)
January 2025
School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia.
Objective: In this paper, we explore the correlation between performance reporting and the development of inclusive AI solutions for biomedical problems. Our study examines the critical aspects of bias and noise in the context of medical decision support, aiming to provide actionable solutions. Contributions: A key contribution of our work is the recognition that measurement processes introduce noise and bias arising from human data interpretation and selection.
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