Background The application of fine needle aspiration (FNA) in parotid masses via the Milan System for Reporting Salivary Gland Cytopathology (MSRSGC) enhances the diagnosis of these lesions alongside radiological investigations. Objectives Our objective was to assess the risk of malignancy, sensitivity, specificity, and false positive and negative results for each category of the MSRSGC. Additionally, we assessed the level of agreement between the FNA results using MSRSGC and post-resection histopathological diagnosis. Methods We conducted a retrospective chart review of parotid gland masses that received FNA and postoperative pathological diagnosis at King Saud University Medical City and King Fahad Medical City between 2018 and 2022. We summarized the categorical variables using frequencies and percentages. Results A total of 172 cases met the inclusion criteria. Males encompassed 102 patients (59.3%) of the study sample, and 89 (51.7%) of parotid masses were on the left side. The risk of malignancy for the MSRSGC categories was 37.5% (Category I), 9.0% (II), 50.0% (III), 4.7% (IVa), 50.0% (IVb), 100.0% (V), and 71.0% (VI). FNA had an overall success rate of 81%. The sensitivity was 64% and specificity was 94% for non-neoplastic masses. For benign masses, the sensitivity was 91% and specificity was 66%; however, the sensitivity was 40% and specificity was 97% for malignant lesions. We found that the percentage of agreement between the FNA and final pathology was 80%. Conclusion FNA using MSRSGC is a valuable preoperative clinical tool. However, the low sensitivity rates based on the diagnosis of malignant lesions should alert clinicians not to be overly reliant on biopsy results and instead defer to definitive surgical management.
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http://dx.doi.org/10.7759/cureus.49259 | DOI Listing |
Optica
December 2024
Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
X-ray dark-field imaging highlights sample structures through contrast generated by sub-resolution features within the inspected volume. Quantifying dark-field signals generally involves multiple exposures for phase retrieval, separating contributions from scattering, refraction, and attenuation. Here, we introduce an approach for non-interferometric X-ray dark-field imaging that presents a single-parameter representation of the sample.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Neuroradiology Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
Multiple sclerosis (MS) is a neurodegenerative disease that affects the central nervous system. Structures affected in MS include the corpus callosum, connecting the hemispheres. Studies have shown that in mammalian brains, structural connectivity is organized according to a conservation principle, an inverse relationship between intra- and interhemispheric connectivity.
View Article and Find Full Text PDFProstate Int
December 2024
Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Background: The impact of behavioral habits such as exercise on the physical health of prostate cancer (PCa) patients is poorly understood. We aimed to investigate PCa patients' exercise habits and the association between exercise and self-reported physical health status.
Methods: The 2016-2020 Behavioral Risk Factor Surveillance System (BRFSS) databases were used to identify men with a history of PCa.
J Geriatr Cardiol
November 2024
Geriatric Medicine Residency Program, University of Rome "Tor Vergata", Rome, Italy.
Acetazolamide is the commonly prescribed oral and intravenous carbonic anhydrase inhibitor; over the years, its use in clinical practice has decreased in favor of more recent drugs. However, it is a rather handy drug, which can be useful in several clinical settings when managing critically ill patients. The objective of this review is the evaluation of the most recent evidence on the use of acetazolamide in emergency medicine and critical care medicine.
View Article and Find Full Text PDFBiomed Tech (Berl)
December 2024
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
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