Spots Global Cancer Trial Database for Risk Assessment of Endometrial Hyperplasia and Endometrial Cancer

Study Description

Brief Summary: Abnormal uterine bleeding (AUB) represents common diagnostic challenge in everyday gynecological practice. However, abnormal bleeding is a common symptom of many benign diseases and only indicates the presence of EC in 9% of postmenopausal women and 1% to 2% of premenopausal women, suggesting that many women at low risk undergo unnecessary invasive procedures to rule out cancer. The aim of the study is to create a risk-scoring model of endometrial hyperplasia and endometrial cancer.

Detailed Description: Approximately 90% of endometrial cancer (EC) cases are preceded by AUB in premenopausal or perimenopausal women or post-menopausal bleeding (PMB).Transvaginal ultrasonography(TVS) has become the first step diagnostic tool of AUB. The main advantage of ultrasound imaging is that it has high accuracy for the preoperative classification of intra and extra uterine lesions, both benign and malignant. If increased endometrial thickness (ET) is found in women with PMB, the risk of EC increases. However, in women with type II EC, ET below 3-4 mm might also be found. Because of these limitations, ET should not be the only factor for cancer risk estimation in women with AUB. Three-dimensional sonography and blood flow vascular indices improve the diagnostic precision of the sonographic estimation of endometrial lesions. Several scoring systems using different ultrasound image characteristics were proposed to estimate the risk of EC in women with AUB including the recently proposed system" Risk of Endometrial Cancer scoring model "(REC). Existing guidelines recommend considering clinical risk factors such as BMI, age, obesity, type II diabetes, polycystic ovary syndrome(PCOS) and use of unopposed estrogen when evaluating AUB. However, only few clinical risk prediction models have been developed. Despite the important role of ultrasound imaging in assessment of endometrial lesions, one wonders if clinical variables can improve the diagnostic performance of risk prediction models. The aim of the study is to create a risk-scoring model of endometrial hyperplasia and endometrial cancer using patient clinical characteristics and ultrasound image characteristics among women with abnormal uterine bleeding, and to validate the diagnostic performance of our model and to compare it's predictive value with the recently proposed REC score for EC risk stratification.

Keywords

Eligibility

Minimum Age: 40 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: FEMALE

Healthy Volunteers: No

Locations

Contact Details

Useful links and downloads for this trial