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http://dx.doi.org/10.3949/ccjm.20.4.445 | DOI Listing |
Medicina (Kaunas)
December 2024
King Abdulaziz Medical Center, National Guard Health Affairs, Riyadh 21423, Saudi Arabia.
Salivary gland tumors (SGTs) are diverse lesions with varying morphological and clinical characteristics. Limited data exist on the distribution of SGTs in Saudi Arabia. We aimed to fill this gap by examining the distribution of SGTs across four tertiary hospitals in Riyadh.
View Article and Find Full Text PDFInt J Surg Case Rep
December 2024
Department of Pathology, Al-Istishari Hospital, Ramallah, Palestine.
Introduction And Importance: Pulmonary mucoepidermoid carcinoma (PMEC) is a rare lung tumor, accounting 0.1-0.2 % of lung malignancies, commonly affecting adults under 50.
View Article and Find Full Text PDFLung Cancer
December 2024
Department of Internal Medicine, Division of Hematology/Oncology, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine (IUSOM), Indianapolis, IN 46202, USA. Electronic address:
A major paradigm shift in the diagnosis, management, and survival outcomes of early and advanced non-small cell lung cancer has transpired over the past few decades in thoracic oncology with the incorporation of molecular testing, targeted therapy, immunotherapy, neoadjuvant, and adjuvant approaches. However, transformation in the management and survival outcomes of rare lung tumors is lacking. Given the scarcity of these tumor types, randomized trials are rarely performed, and treatment is extrapolated from case series, tumor-agnostic trials, or cancers with similar histology.
View Article and Find Full Text PDFJ Stomatol Oral Maxillofac Surg
December 2024
Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan. Electronic address:
Background: Oral cancer, particularly mucoepidermoid carcinoma (MEC), presents diagnostic challenges due to its histological diversity and rarity. This study aimed to develop machine learning (ML) models to predict survival outcomes for MEC patients and pioneer a clinically accessible prognostic tool.
Methods: Using the SEER database (2000-2020), we constructed predictive models with five ML algorithms: Random Forest Classifier (RFC), Gradient Boosting Classifier (GBC), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP).
Int J Surg Oncol
December 2024
Medical University Heidelberg, Heidelberg, Baden-Württemberg, Germany.
This study sought to comprehensively evaluate the diagnosis, therapeutic interventions, and outcomes of individuals afflicted with malignant parotid tumors at a tertiary care otolaryngology department in Heilbronn, Germany, spanning the years 2010-2018. The primary objective was to juxtapose this dataset with findings from analogous single and multicenter investigations. We conducted a meticulous analysis of electronic medical records pertaining to 45 patients subjected to primary parotid cancer treatment.
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