Preoperative detection of occult endometrial malignancies in endometrial hyperplasia to improve primary surgical therapy: A scoping review of the literature

Prevalence of occult endometrial carcinoma in patients with endometrial intraepithelial neoplasia who underwent hysterectomy

OBJECTIVES

To determine the prevalence of occult endometrial carcinoma in patients with endometrial intraepithelial neoplasia (EIN) post-hysterectomy and identify pre-hysterectomy risk factors predictive of occult carcinoma.

METHODS

This retrospective study included patients diagnosed with EIN between 2007 and 2021 who underwent hysterectomy as primary treatment. An expert gynecologic pathologist reviewed pathological slides. Data collected from medical records included demographic and gynecologic information, sonographic findings, and surgical and pathological outcomes. The prevalence of occult endometrial carcinoma was calculated. Descriptive statistics evaluated carcinoma incidence, and logistic regression analysis identified independent risk factors.

RESULTS

A total of 113 patients were evaluated. The median time to hysterectomy was 9.1 weeks (range 5.8-12.8 weeks). Post-hysterectomy, 36 patients (31.8%) were diagnosed with endometrial carcinoma, all endometrioid type. Of these, 88.9% were stage I per the International Federation of Gynecology and Obstetrics classification system, and 11.1% were at high risk for nodal metastasis. Predictive factors for occult carcinoma included the intraoperative gross lesion size (2 cm or larger and less than 2 cm) and endometrial aspiration. Adjusted odds ratios were 6.723 (95% CI 2.338 to 19.333) for lesions 2 cm or larger, 3.381 (95% CI 1.128 to 10.132) for lesions less than 2 cm, and 2.752 (95% CI 1.092 to 6.936) for endometrial aspiration.

CONCLUSIONS

Occult endometrial carcinoma was identified in 31.8% of patients with a pre-hysterectomy EIN diagnosis. The significant predictors were endometrial aspiration and the presence of a gross lesion during surgery.

Menopausal Status Contributes to Overall Survival in Endometrial Cancer Patients

Endometrial cancer is the most common female genital tract malignancy in developed countries that occurs predominantly in postmenopausal women. The primary objective of our research was to investigate whether menopause status together with selected conventional prognostic indicators may contribute to overall (all-cause) survival in endometrial cancer patients. For this purpose, we applied the Cox proportional hazards regression model. Patients in advanced FIGO stage showed a relatively poor survival rate. The time since last menstruation and postoperative FSH concentration were identified as unfavorable prognostic factors in our model. Additionally, age at diagnosis, BMI value, adjuvant treatment (brachytherapy), and parity showed no impact on survival. To our knowledge, this is the first study to report a prognostic model for endometrial cancer including exact time from last menstruation as one of the prognostic variables. Due to the fact that there are no stratifying systems to reliably predict survival in patients with endometrial cancer, there is a strong need to revise and update existing models using complementary prognostic indicators. Collection of precise data on various risk factors may contribute to increased accuracy of artificial intelligence algorithms in order to personalize cancer care in the near future.