Objective: To evaluate the diagnostic accuracy and malignancy risk of The Sydney System Reporting for Lymph Nodes Cytology.
Material And Methods: This study utilized secondary data from 156 cases to conduct a retrospective analysis of a diagnostic test method. During 2019-2021, data were collected at Dr. Wahidin Sudirohusodo's Anatomical Pathology Laboratory in Makassar, Indonesia. The cytology slides of each case were split into five diagnostic groups using the Sydney method, which were then compared with the results of the histopathological diagnosis.
Results: There were six cases in the L1 category, thirty-two cases in the L2 category, thirteen patients in the L3 category, seventeen cases in the L4 category, and ninety-one cases in the L5 class. The malignant probability (MP) is computed for each diagnostic classification. L1 MP value is 66.7%, L2 MP value is 15.6%, L3 MP value is 76.9%, L4 MP value is 94.0%, and L5 MP value is 98.9%. The diagnostic value of the FNAB examination is as follows: 89.9% sensitivity, 92.9% specificity, 98.2% positive predictive value, 68.4% negative predictive value, and 90.47% diagnostic accuracy.
Conclusion: The FNAB examination provides high sensitivity, specificity, and accuracy in diagnosing lymph node tumors. Using a classification based on the Sydney system promotes communication between laboratories and clinicians.
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http://dx.doi.org/10.31557/APJCP.2023.24.6.1917 | DOI Listing |
Pharmacoeconomics
January 2025
Centre for Health Economics Research and Evaluation, University of Technology Sydney, PO Box 123, Broadway, NSW, 2007, Australia.
Background: Cost-utility analyses commonly use two primary methods to value productivity: the human capital approach (HCA) and the friction cost approach (FCA). Another less frequently used method is the willingness-to-pay (WTP) approach, which estimates the monetary value individuals assign to avoiding an illness. In the context of foodborne illnesses (FBI), productivity loss represents one of the most significant economic impacts, particularly in developed nations.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Canadian Microbiology Proficiency Testing Program (CMPT), Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.
The main stakeholders in external quality assessment (EQA) programs are the participants, in whose interests these challenges are ultimately organised. EQA schemes in the medical field contribute to improving the quality of patient care by evaluating the analytical and diagnostic quality of laboratory and point-of-care tests (POCT) by independent third parties and, if necessary, pointing out erroneous measurement results and analytical or diagnostic improvement potential. Other benefits include the option of using EQA samples for other important laboratory procedures, such as the verification or validation of diagnostic medical devices (IVD-MDs), a contribution to the estimation of measurement uncertainty, a means of training and educating laboratory staff through educational EQA programmes or samples, or even for independent and documented monitoring of staff competence, such as on samples with unusual or even exceptional characteristics.
View Article and Find Full Text PDFGlob Chang Biol
January 2025
School of Biological Sciences, The University of Hong Kong, Hong Kong, China.
Land use change threatens global biodiversity and compromises ecosystem functions, including pollination and food production. Reduced taxonomic α-diversity is often reported under land use change, yet the impacts could be different at larger spatial scales (i.e.
View Article and Find Full Text PDFANZ J Surg
January 2025
Lyell McEwin Hospital, Adelaide, South Australia, Australia.
Background: The Adelaide Score is an artificial intelligence system that integrates objective vital signs and laboratory tests to predict likelihood of hospital discharge.
Methods: A prospective implementation trial was conducted at the Lyell McEwin Hospital in South Australia. The Adelaide Score was added to existing human, artificial intelligence, and other technological infrastructure for the first 28 days of April 2024 (intervention), and outcomes were compared using parametric, non-parametric and health economic analyses, to those in the first 28 days of April 2023 (control).
Br J Anaesth
January 2025
Population Health Research Institute, Hamilton, ON, Canada; Department of Medicine, McMaster University, Hamilton, ON, Canada.
Background: Optimised use of kidney function information might improve cardiac risk prediction in noncardiac surgery.
Methods: In 35,815 patients from the VISION cohort study and 9219 patients from the POISE-2 trial who were ≥45 yr old and underwent nonurgent inpatient noncardiac surgery, we examined (by age and sex) the association between continuous nonlinear preoperative estimated glomerular filtration rate (eGFR) and the composite of myocardial injury after noncardiac surgery, nonfatal cardiac arrest, or death owing to a cardiac cause within 30 days after surgery. We estimated contributions of predictive information, C-statistic, and net benefit from eGFR and other common patient and surgical characteristics to large multivariable models.
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