Gynecology Oncology
Tahereh Ashrafganjoei; nooshin amjadi; Robabeh Taheripanah; Hamed talayeh; maryam Talayeh; Nasim Noorinasab
Articles in Press, Accepted Manuscript, Available Online from 26 April 2024
Abstract
Introduction: The administration of tamoxifen to post-menopausal patients with breast cancer may lead to vaginal bleeding, necessitating a thorough understanding of associated factors. Our objective was to investigate sonographic, hysteroscopic, and pathologic findings in breast cancer patients experiencing ...
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Introduction: The administration of tamoxifen to post-menopausal patients with breast cancer may lead to vaginal bleeding, necessitating a thorough understanding of associated factors. Our objective was to investigate sonographic, hysteroscopic, and pathologic findings in breast cancer patients experiencing vaginal bleeding following tamoxifen use.Methods: In this cross-sectional study, we evaluated women with post-menopausal breast cancer reporting vaginal bleeding while undergoing tamoxifen treatment for more than six months. Data collection involved a checklist encompassing ultrasonographic, hysteroscopic, and pathologic findings.Results: The study included 100 patients with a mean age of 56.2 ± 2.9 years and a mean endometrial thickness of 14.5 ± 3.4 mm. Notably, 25% of the patients exhibited abnormally large uterine size. Ultrasonography revealed polyps and myomas in 36% and 15% of cases, respectively. Positive hysteroscopy findings were observed in 72%, comprising polyps in 36%, hyperplasia in 32%, and atrophy in 4%. Pathological assessment identified abnormal features in 31% as polyps, 34% as hyperplasia, 4% as atrophy, and 5% as cancerous lesions.Conclusion: Patients who received tamoxifen had high endometrial thickness due to endometrial polyp, it seems that clinicians can consider using hysteroscopy with dilation and curettage in these patients.
Zahra Shahraki; Khadije Rezaie Keikhaie; Nooshin Amjadi; Zohrehsadat Hashemi Bonjar; Hosseinali Jahantigh; Fatemeh Doosti; Mahboobeh Shirazi
Volume 2, Issue 2 , May and June 2017
Abstract
Background: Preeclampsia is one of the causes of maternal and prenatal mortality and morbidity. The 24-hour urine sample is considered as a gold standard for preeclampsia diagnosis and shortening the time of urine collection will result in the patients’ convenience and shorter hospitalization. ...
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Background: Preeclampsia is one of the causes of maternal and prenatal mortality and morbidity. The 24-hour urine sample is considered as a gold standard for preeclampsia diagnosis and shortening the time of urine collection will result in the patients’ convenience and shorter hospitalization. The goal of this study was to determine thee diagnostic accuracy of 4 hour urine protein in comparison with 24 hour urine protein in pregnant women.
Methods: One hundred pregnant women, with a gestational age of more than 20 weeks, and were suspicious to preeclampsia were enrolled. The 24-hour as well as the 4-hour urine sample were collected. All data were analyzed using the SPSS software, version 20 (SPSS Inc., Chicago, IL, USA). The correlation coefficient was used to determine relationship between the 4 and 24-hour urine proteins. receiver operating characteristic (ROC) curve was used to determine optimal cut-off values of 4 hour proteinuria.
Results: The mean age and mean gestational age of participants was 26.8 & 6.1 years and 34.1 & 3.4 weeks. The mean 4-hour urine protein was 165.6 & 170.2 mg and the mean 24 hour urine protein was 926 & 1013 mg. The mean age, 4-hour urine protein, and 4 as well as 24 hour urine volumes were significantly different between cases with no, mild, or severe proteinuria. Pearson correlation coefficient between 4 and 24 hour proteinuria was strong (r = 0.97 and p < 0.001). The best cut off point for 4-hour proteinuria to determine proteinuria was 69.5 mg with a sensitivity of 93% and specificity of 100%. (Area under the curve = 0.99, p < 0.001).
Conclusions: Women that are suspicious to have preeclampsia, the total 4-hour urine protein values positively correlated with values of 24-hour samples.
