Objective: There is no established ultrasonographic endometrial cutoff value for the diagnosis of endometrial pathologies in asymptomatic postmenopausal tamoxifen (TAM)-treated patients. We attempted to seek the most accurate cutoff value.
Materials And Methods: Multiple ultrasonographic cutoff points were evaluated by logistic regression analysis based on 279 patients who had transvaginal ultrasonographic examinations followed by endometrial histopathological analysis. Performance characteristics were calculated with correlation to the endometrial histological findings. We also calculated how many endometrial pathologies could have been left undiagnosed and the number of endometrial samplings, with different cutoff values, which could have been avoided.
Results: There was a gradual increase in specificity and a gradual decrease in sensitivity of the ultrasonographic studies with the increase of endometrial thickness. More overall and more various endometrial pathologies were identified with the increase in cutoff values. The best cutoff value appeared to be 15 mm (sensitivity 37.9%, specificity 87.2%, positive predictive value 63.0%, and negative predictive value 70.2%). However, by avoiding performance endometrial sampling up to this cutoff value, 62.2% endometrial pathologies including 48 endometrial polyps, one case of endometrial hyperplasia with atypia, and one case of endometrial cancer may have been left undiagnosed. At the same time, endometrial sampling in 78.5% of cases may have been avoided.
Conclusion: In asymptomatic postmenopausal breast cancer tamoxifen-treated patients, the use of wider ultrasonographic endometrial cutoff values could be associated not only with the performance of fewer endometrial samplings, but also with a higher possibility of endometrial pathologies, including endometrial cancers, being left undiagnosed.
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http://dx.doi.org/10.1016/j.ygyno.2004.06.053 | DOI Listing |
Gynecol Oncol
January 2025
Division of Gynecologic Oncology, St. Luke's University Health Network, Bethlehem, PA, United States of America.
Objective: We sought to determine the cost-effectiveness (CE) of lymph node dissection (LND) at the time of hysterectomy for endometrial intraepithelial neoplasia (EIN).
Methods: A decision analytic model was created to evaluate the strategies of routine full LND, sentinel lymph node dissection (SNLD), SNLD without advancing to full LND in the event of non-mapping, and full LND based on Mayo Criteria, versus no LND. Patients in the no LND group and those in the SLND group without advancement to full LND in the event of non-mapping who were found to have EC on final pathology and suspicious post-operative imaging underwent full LND.
Gynecol Oncol
January 2025
Department of Obstetrics and Gynecology, Bern University Hospital and University of Bern, Bern, Switzerland.
Objective: Treatment approaches for endometrial cancer became more personalized in the last decade, mainly due to two key advancements - sentinel lymph node (SLN) mapping and molecular classification. However, their prognostic interaction remains relatively unexplored.
Methods: This retrospective cohort study included patients with endometrial cancer, who underwent surgical treatment including SLN mapping at the Bern University Hospital, Switzerland.
Sci Rep
January 2025
Department of Gynecology, Chongqing Ninth People's Hospital, 69, Jialing Village, Beibei District, Chongqing, 400700, China.
This study investigated the risk factors for endometrial hyperplasia (EH) and endometrial carcinoma (EC) in premenopausal women. The goal was to establish a nomogram model to predict the risk of EH/EC and quantitative standards in clinical practice, which improved the clinical prognosis of EH/EC patients. Data were collected from premenopausal women with suspected EH/EC who underwent hysteroscopic endometrial biopsy.
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January 2025
Biochemistry and Molecular Biology, College of Basic Medical Science, Chongqing Medical University, Chongqing, 400000, China.
Uterine corpus endometrial carcinoma (UCEC) is a significant cause of cancer-related mortality among women worldwide. Prior research has demonstrated an association between cyclin-dependent kinase inhibitor 2 A (CDKN2A) and various tumors. As a member of the INK4 family, CDKN2A is involved in cell cycle regulation by controlling CDKs.
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January 2025
Department of Obstetrics and Gynecology, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China.
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial lesions in patients. The model is designed to assess risk and facilitate individualized treatment strategies for premenopausal breast cancer patients.
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