Objective: In gynecology, fine-needle aspiration (FNA) has an overall accuracy of 94.5% in differentiation between benign and malignant tumors. The purpose of this study was to determine reliable cytological criteria for categorizing ovarian masses into benign and malignant categories, their subtypes, and also to evaluate FNA accuracy in the diagnosis of ovarian tumors in relation to histopathological findings.
Study Design: A prospective study was performed on all patients with a preoperative diagnosis of ovarian tumor who were referred to our hospital between August 2013 and August 2015. During surgery, FNA was performed using an 18-gauge needle by a pathologist. Aspirated material was spread on clean glass slides and stained with Papanicolaou and Wright-Giemsa stains. The cytological findings and results were compared with the histological diagnosis.
Results: Of the 81 cases in this study, there was a discrepancy between the cytological and histological diagnosis in 9 cases. The overall cytological diagnostic accuracy in our study was 88.9% with a sensitivity and specificity of 78.1 and 95.5%, respectively.
Conclusion: FNA of an ovarian mass is a minimally invasive procedure with acceptable diagnostic accuracy, especially when differentiating between benign and malignant lesions, and can be considered as a useful diagnostic modality for choosing an appropriate management course.
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http://dx.doi.org/10.1159/000449362 | DOI Listing |
Best Pract Res Clin Anaesthesiol
March 2024
1400 Holcombe Blvd, FC 13.2000, Houston, TX, 77030, USA. Electronic address:
Lung cancer is among one of the most commonly diagnosed malignancies and is the leading cause of cancer-related mortality in both men and women globally, with an estimated 1.8 million deaths annually. Moreover, it is also the leading cause of cancer related deaths in the United States (U.
View Article and Find Full Text PDFCureus
December 2024
General Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Phyllodes tumor is a type of fibroepithelial neoplasm involving the breast. This tumor is rarely reported in adolescents and the elderly and has a peak incidence in middle-aged women. Histologically, phyllodes tumors are classified as benign, borderline, or malignant.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Center of Breast and Thyroid Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Objective: This study aimed to assess the degree of effect of central lymph node dissection on postoperative hypoparathyroidism incidence.
Methods: The incidence of postoperative hypoparathyroidism was compared between patients receiving thyroidectomy with central neck dissection for papillary thyroid carcinoma and those undergoing thyroidectomy for benign thyroid diseases (thyroid follicular adenoma and/or nodular goiter) necessitating surgical intervention.
Results: The incidence of postoperative hypoparathyroidism was not significantly different between the groups of lobe thyroidectomy for benign thyroid diseases and lobe thyroidectomy with ipsilateral central lymph node dissection for papillary thyroid carcinoma (immediate: 9.
Prostate cancer (PC) progresses from benign epithelium through pre-malignant lesions, localized tumors, metastatic dissemination, and castration-resistant stages, with some cases exhibiting phenotype plasticity under therapeutic pressure. However, high-resolution insights into how cell phenotypes evolve across successive stages of PC remain limited. Here, we present the Prostate Cancer Cell Atlas (PCCAT) by integrating ∼710,000 single cells from 197 human samples covering a spectrum of tumor stages.
View Article and Find Full Text PDFFront Oncol
December 2024
Honorary Research Associate, Department of Operations and Quality Management, Durban University of Technology, Durban, South Africa.
Introduction: Lung cancer is one of the main causes of the rising death rate among the expanding population. For patients with lung cancer to have a higher chance of survival and fewer deaths, early categorization is essential. The goal of thisresearch is to enhance machine learning to increase the precision and quality of lung cancer classification.
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