Management of postmenopausal women with vaginal bleeding when the endometrium can not be visualized.

OBJECTIVE: To determine the risk of endometrial cancer when endometrial thickness is not visualized using ultrasonography. DESIGN: Cross-sectional study. SETTING: Gynecological oncology center in the United Kingdom. POPULATION: All postmenopausal women referred with vaginal bleeding. METHODS: All women were investigated using gray-scale transvaginal ultrasonography. Women were arbitrarily stratified into four groups according to the endometrial thickness measurement. Women with endometrial thickness that was not adequately visualized on ultrasonography were included in a separate group. MAIN OUTCOME MEASURES: Endometrial cancer diagnosis. RESULTS: Over a 50-month period, 4454 women were investigated for postmenopausal vaginal bleeding. A total of 259 (6%) of women were diagnosed with endometrial carcinoma. Endometrial thickness measured 5-9.9 mm in 1201 (27%), 10-14.9 mm in 468 (11%), 15-19.9 mm in 209 (5%), and equal to or greater than 20mm in 197 (4%) of women. In 174 (4%) of women, the endometrial thickness was not visualized on transvaginal ultrasonography. For women where the endometrial thickness was not adequately visualized, the final histology included benign endometrium (124), endometrial cancer (26), endometrial polyps (11), endometritis (7), and other pathology (7). The odds of endometrial cancer in women where the endometrial thickness was not visualized were found to be significantly higher than the odds of cancer for women with an endometrial thickness of 5-9.9 mm (OR = 5.23, 95%CI 3.10-8.85, p-value <0.0001). CONCLUSIONS: For women presenting with postmenopausal bleeding and where the endometrial thickness cannot be adequately visualized on ultrasonography, hysteroscopic evaluation is recommended.

Postmenopausal vaginal bleeding in women using hormone replacement therapy.

OBJECTIVE: To estimate the risk of endometrial cancer in postmenopausal women presenting with vaginal bleeding using estrogen-progestogen hormone replacement therapy (HRT) regimens and to assess if the duration of HRT use has an effect on the risk of diagnosing endometrial cancer. STUDY DESIGN: Cross-sectional study of consecutive women presenting with postmenopausal vaginal bleeding at a gynaecological oncology centre in the UK. Main outcome measures Endometrial cancer diagnosis. RESULTS: Over a 62-month period, 4847 women were investigated for postmenopausal vaginal bleeding. The majority of women (4097, 84.5%) did not use any HRT preparation at the time of initial referral and 750 (15.5%) women were using combined HRT preparations. A total of 298 (6.1%) women were diagnosed with endometrial carcinoma. Women using HRT preparations were significantly less likely to be diagnosed with endometrial cancer compared with women not using HRT (adjusted odds ratio = 0.229, 95% CI 0.116-0.452; P < 0.0001). The longer duration of HRT use did increase the risk of diagnosing endometrial cancer in women presenting with postmenopausal vaginal bleeding, but this was not statistically significant. CONCLUSIONS: Postmenopausal women presenting with vaginal bleeding and using combined HRT preparations have significantly lower risk of being diagnosed with endometrial cancer when compared with women not using HRT.

Outcome of investigations for postmenopausal vaginal bleeding in women under the age of 50 years.

OBJECTIVE: The objective of this study is to determine the incidence of endometrial cancer in young postmenopausal women presenting with vaginal bleeding. METHODS: Cross-sectional study of postmenopausal women presenting with vaginal bleeding in a gynaecological oncology centre in the United Kingdom. All women underwent transvaginal ultrasound scanning (TVS) as the initial investigation tool to evaluate the endometrium. Endometrial biopsy was performed only in cases where endometrial thickness measured equal to or greater than 5mm. The patients were divided into two groups based on their age: less than 50 years (Group A) and 50 years or older (Group B). RESULTS: Over a 57-month period, 4454 women were investigated for postmenopausal vaginal bleeding. Of these, 259 (5.8%) women were diagnosed with endometrial carcinoma. 260 (5.8%) women were younger than 50 years. Endometrial biopsy was not performed in 130 women in Group A that had an endometrial thickness measurement of less than 5mm on ultrasonography. With a median follow-up period of 3 (1-5) years, we found no cases of endometrial cancer in women under the age of 50 that did not undergo endometrial biopsy at the time of initial evaluation. Overall, no cases of endometrial cancer were diagnosed in postmenopausal women under the age of 50 years. CONCLUSIONS: We found no cases of endometrial cancer amongst 260 women presenting with postmenopausal vaginal bleeding under the age of 50 years. These women could be investigated on a less urgent basis depending on the available resources.

Comparing the performance of two clinical models in estimating the risk of endometrial cancer in symptomatic postmenopausal women.

OBJECTIVE: The aim of this study was to internally evaluate the accuracy measures of the two newly developed predictive models, called DEFAB and DFAB, used to estimate the risk of endometrial cancer in postmenopausal women presenting with vaginal bleeding. STUDY DESIGN: Prospective study including postmenopausal women presenting with vaginal bleeding. RESULTS: Over a 46-month-period, 3795 postmenopausal women presented with vaginal bleeding and were included in the study. A total of 221 (6%) women were diagnosed with endometrial carcinoma. The DEFAB predictive model incorporates known risk factors such as presence of Diabetes, Endometrial thickness measurement on transvaginal ultrasonography, Frequency of bleeding, Age, and Body mass index. The DFAB model is based on the above clinical characteristics excluding the ultrasonography result. For the recommended cut-off values, there was no evidence (p-value=0.221) of a difference in the diagnostic ability with respect to sensitivity, specificity, area under receiver operating curve, positive predictive value and negative predictive value. There was strong evidence (p-value<0.0001) to suggest that the diagnostic ability of DEFAB and DFAB agree as evidenced by the excellent Kappa statistic 0.950 (95% CI 0.940-0.960). We found strong evidence (p-value<0.0001) that the variables incorporated in both predictive models simultaneously correctly classify an individual to either having cancer or not having cancer with respect to logistic discriminant analysis. CONCLUSION: We recommend that these two predictive models can be used interchangeably.

How to improve training in bowel surgery for gynecological oncologists-experience from a single center in the United kingdom.

INTRODUCTION: There is now a growing realization of the lack of experience of gynecological oncology trainees in gastrointestinal surgery. Advanced fellowship programs in gastrointestinal surgery have been suggested as a potential solution to this problem. PATIENTS AND METHODS: We present data relating to gastrointestinal procedures performed by the gynecological oncology trainee during a fellowship program over a 3-year period in a single gynecological oncology center in the United Kingdom. RESULTS: Over a 36-month period, 369 cases of invasive ovarian cancer were diagnosed in our institute, of which 278 (75.3%) were stage III/IV disease. Bowel surgery was performed in 86 patients (30.9%) with stage III/IV ovarian cancer. A total of 121 gastrointestinal procedures were performed during the study period, as some patients had more than one procedure. We present the procedures the gynecological oncology fellow performed and assisted during this period. DISCUSSION: To improve competencies in performing bowel surgery among gynecological oncology trainees, we suggest sustained exposure in bowel surgery over the entire duration of the training program.

Estimating the risk of endometrial cancer in symptomatic postmenopausal women: a novel clinical prediction model based on patients' characteristics.

INTRODUCTION: The aim of this study was to develop a multivariable model to predict the risk of endometrial carcinoma in postmenopausal women with vaginal bleeding using individuals' clinical characteristics. PATIENTS AND METHODS: This prospective study of consecutive postmenopausal women presenting with vaginal bleeding was conducted at a gynecological oncology center in the United Kingdom for a 46-month period. All women underwent transvaginal ultrasound scanning as the initial investigation tool to evaluate the endometrium. Women found to have an endometrial thickness 5 mm or more had endometrial sampling performed. RESULTS: Of a total of 3548 women presenting with vaginal bleeding during the study period, 201 (6%) women had a diagnosis of endometrial carcinoma. An investigator-led best model selection approach used to select the best predictors of cancer in the multiple logistic regression model showed that patient's age (odds ratio [OR], 1.06), body mass index (OR, 1.07), recurrent episodes of bleeding (OR, 3.64), and a history of diabetes (OR, 1.48) increased the risk of endometrial malignancy when corrected for other characteristics. The mentioned clinical variables satisfied the criteria for inclusion in our predictive model called FAD 31 (F for the frequency of bleeding episodes, A for the age of the patient, D for diabetes, and the number 31 represents the BMI cut-off value). The total score for the model varies from 0 to 8. The area under the receiver operating characteristics curve for the developed model was 0.73 (95% confidence interval, 0.70-0.77). DISCUSSION: We have developed a simple model based on patients' clinical characteristics in estimating the risk of endometrial cancer for postmenopausal women presenting with vaginal bleeding. The model shows reasonable discriminatory ability for women with cancer and without, with an area under the receiver operating characteristics curve of 0.73. This will allow clinicians to individualize the diagnostic pathway for women with postmenopausal vaginal bleeding.