Background/aim: The presence of on-site cytopathologists improves the diagnostic yield of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) of pancreatic masses; however, on-site cytopathologists are not available to all endoscopic units. We hypothesized that experienced cytotechnicians can accurately assess whether an on-site pancreatic mass fine needle aspiration specimen is adequate. The aim of this study was to evaluate the effect of formal cytotechnician training on the diagnostic accuracy of EUS-FNA of pancreatic masses.
Methods: Single-centre, prospective study. The cytotechnician made an on-site assessment of specimen adequacy with immediate evaluation of smears over a 12-month period (pre-training period) then over another 12-month period (post-training period), with a year's intermediate training when the cytopathologist and the cytotechnician worked together in the room. The gold standard used to establish the final diagnosis was based on a non-equivocal fine needle aspiration biopsy reviewed by the same expert cytopathologist. The main outcome measurements were the cytotechnician diagnostic accuracy before and after the training period.
Results: A total of 107 patients were enrolled in the pre-training period. Cytotechnician in-room adequacy was 68.2% (73/107). The diagnostic accuracy was 74.8%. The adequacy for the blind-review pathologist was 93.4% (100/107), significantly higher (p=0.008) than the cytotechnician's results. During the post-training period, 95 EUS-FNA were performed and reviewed. Cytotechnician in-room adequacy was 87.4% (83/95). The diagnostic accuracy was 90.5%. The adequacy for the blinded pathologist was 95.8% (91/95), not significantly different from the cytotechnician (p=0.23).
Conclusions: An adequate training period with an expert pathologist significantly improves the cytotechnician skill in terms of judging adequacy and diagnostic accuracy.
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http://dx.doi.org/10.1016/j.dld.2011.12.001 | DOI Listing |
Pain Ther
January 2025
Department of Medicine, Nephrology Division, University of Verona, Verona, Italy.
Introduction: Pain is one of the most frequently reported symptoms in hemodialyzed (HD) patients, with prevalence rates between 33% and 82%. Risk factors for chronic pain in HD patients are older age, long-lasting dialysis history, several concomitant diseases, malnutrition, and others. However, chronic pain assessment in HD patients is rarely performed by specialists in pain medicine, with relevant consequences in terms of diagnostic and treatment accuracy.
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January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
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January 2025
Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada.
Objectives: Fundoscopy is crucial in the emergency department to identify or rule out serious ocular and neurological conditions. Despite its clinical importance, fundoscopy is often omitted due to the technical challenges associated with traditional direct ophthalmoscopy, particularly for non-ophthalmologists. This study examines emergency physicians' practices, confidence levels, and training related to various modalities of fundoscopy including traditional direct ophthalmoscopes, binocular indirect ophthalmoscopes, panoptic ophthalmoscopes, slit lamp fundoscopy and fundus cameras; and explores the potential role of alternative modalities, such as fundus cameras, in Canadian emergency departments.
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January 2025
Department of Rheumatology and Immunology, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of individuals developing OA is crucial for the timely identification of potential populations of OA. This allows for further diagnosis and intervention, which is significant for improving patient prognosis. Based on the NHANES for the periods of 2011-2012, 2013-2014, and 2015-2016, the study involved 11,366 participants, of whom 1,434 reported a diagnosis of OA.
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January 2025
Department of Medical Biotechnology, College of Biotechnology, Misr University for Science and Technology, P. O. Box 77, Giza, Egypt.
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation of the synovial joints, leading to cartilage and bone destruction. This study aimed to evaluate the diagnostic utility of specific microRNAs (miRNAs) as potential biomarkers for RA. The study was conducted on 60 patients with RA disease along with 20 control participants.
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