BACKGROUND Pancreatic cystic lesions(PCLs) are common in clinical practice. The accurate classification and diagnosis of these lesions are crucial to avoid unnecessary treatment of benign lesions and missed opportunit...
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BACKGROUND Pancreatic cystic lesions(PCLs) are common in clinical practice. The accurate classification and diagnosis of these lesions are crucial to avoid unnecessary treatment of benign lesions and missed opportunities for early treatment of potentially malignant *** To evaluate the role of cyst fluid analysis of different tumor markers such as cancer antigens [e.g., cancer antigen(CA)19-9, CA72-4], carcinoembryonic antigen(CEA), serine protease inhibitor Kazal-type 1(SPINK1), interleukin 1 beta(IL1-β), vascular endothelial growth factor A(VEGF-A), and prostaglandin E2(PGE2)], amylase, and mucin stain in diagnosing pancreatic cysts and differentiating malignant from benign *** This study included 76 patients diagnosed with PCLs using different imaging modalities. All patients underwent endoscopic ultrasound(EUS) and EUS-fine needle aspiration(EUS-FNA) for characterization and sampling of different *** The mean age of studied patients was 47.4 ± 11.4 years, with a slight female predominance(59.2%). Mucin stain showed high statistical significance in predicting malignancy with a sensitivity of 87.1% and specificity of 95.56%. It also showed a positive predictive value and negative predictive value of 93.1% and 91.49%, respectively(P < 0.001). We found that positive mucin stain, cyst fluid glucose, SPINK1, amylase, and CEA levels had high statistical significance(P < 0.0001). In contrast, IL-1β, CA 72-4, VEGF-A, VEGFR2, and PGE2 did not show any statistical significance. Univariate regression analysis for prediction of malignancy in PCLs showed a statistically significant positive correlation with mural nodules, lymph nodes, cyst diameter, mucin stain, and cyst fluid CEA. Meanwhile, logistic multivariable regression analysis proved that mural nodules, mucin stain, and SPINK1 were independent predictors of malignancy in cystic pancreatic *** EUS examination of cyst morphology with cytopathological analysis and cyst fluid ana
Objectives: The study is investigating the relation of the ploidy pattern and cell cycle kinetics to different types of endometrial hyperplasia to select the high-risk women who will need strict follow up surveillance...
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Objectives: The study is investigating the relation of the ploidy pattern and cell cycle kinetics to different types of endometrial hyperplasia to select the high-risk women who will need strict follow up surveillance. Study design: An observational study of 152 patients with endometrial hyperplasia. Endometrial samples were subjected to flowcytometric study of the nuclear DNA content to determine the ploidy pattern and cell cycle kinetics. Results: The mean age of women was 46.3 ±3.6 years. 15.8%of women were nulliparae, 36.8%were diabetic and 43.6%were hypertensive. 48.7%of women were obese (BMI >30). Most of endometrial samples (88.2%) were simple endometrial hyperplasia without atypia. The cell cycle kinetics in different types of endometrial hyperplasia shows that there were significant statistical differences as regards the S-phase fraction and proliferative index (PI) between typical and atypical hyperplasia. Conclusion: The study of cell cycle kinetics by flowcytometry might help in picking up, among all women with endometrial hyperplasia, the group of patients who need further close and strict follow up by endometrial pathologic study. This is going to minimize the cost and invasiveness of surveillance of patients with various grades of endometrial hyperplasia.
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