Comparative retrospective study on transvaginal sonography versus office hysteroscopy in the diagnosis of endometrial pathology among different subgroups

A Predictive Model for Endometrial Carcinoma Based on Hysteroscopic Data

Objective

The purpose is to establish a model to predict endometrial carcinoma and assess its value in the preliminary diagnosis of endometrial carcinoma.

Methods

The data of 381 patients undergoing hysteroscopy were incorporated into the model, including 282 cases in the training cohort and 99 cases in the validation cohort. Significant morphological indexes were selected using the chi-square test and subjected to the binary logistic regression analysis. Besides, the scoring interval was set, and the nomogram of the prediction model was established. Model calibration curves were drawn using the data from the validation cohort. The study was approved by the Ethics Committee of the Affiliated Sir Run Run Hospital of Nanjing Medical University, and written informed consent was obtained from the patients.

Results

The sensitivity, specificity, positive predictive value, and negative predictive value of the model were 96.7%, 92.3%, 77.3%, and 99.0%, respectively. Analysis of the receiver operating characteristic curve in the training cohort showed an area under the curve of 0.984 (95% CI: 0.974-0.995). The receiver operating characteristic curve in the validation cohort revealed an area under the curve of 0.976 (95% CI: 0.950-1.000). The calibration curve indicated that the probability in the actual setting was consistent with that predicted by the nomogram in the training cohort.

Conclusion

Our model has high sensitivity and specificity in predicting endometrial carcinoma, and helps clinicians to make accurate diagnosis.

Implementation of Office Hysteroscopy for the Evaluation and Treatment of Intrauterine Pathology

Hysteroscopy provides a minimally invasive strategy to evaluate intrauterine pathology and manage conditions such as abnormal uterine bleeding, infertility, intrauterine adhesions, müllerian anomalies, and intrauterine foreign bodies. Increasing access to hysteroscopy procedures in the office has the potential to improve patient care by minimizing financial and logistical barriers, aiding in streamlined diagnosis and treatment planning, and potentially averting unnecessary operative procedures and anesthesia. Office hysteroscopy refers to procedures performed in outpatient settings where pain management involves no medications, oral nonsedating medications, local anesthetic agents, or oral or inhaled conscious sedation. We present best practices for the implementation of hysteroscopy in an office setting. These include appropriate patient selection, optimal procedural timing, cervical preparation for patients at highest risk of cervical stenosis or pain with dilation, individualized pain-management strategies, use of distension media, and video monitoring to engage patients in the procedure. We describe miniaturized equipment for use in the office setting and "no-touch" vaginoscopic approaches to limit patient discomfort. With appropriate training and experience, office hysteroscopy presents a simple and cost-effective modality for optimizing gynecologic care for our patients.

Management of recurrent miscarriages: an overview of current evidence

PURPOSE OF REVIEW

Recurrent miscarriage (RM) or recurrent pregnancy loss (RPL) is defined as the consecutive loss of two or more pregnancies before the age of viability. The exact prevalence of RM is unknown, but it has been reported between 1% and 2%. The objective of this review is to provide a critical summary of the latest evidence for the investigation and management of women with RM.

RECENT FINDINGS

RMs are associated with multiple factors including increased female age and lifestyle habits, as well as genetic factors, hereditary and acquired thrombophilia and infections. Metabolic and endocrine factors, in addition to anatomical causes such as uterine malformations have also been suggested as a causative factors of RM.

SUMMARY

The management of RM would be expected to cause specific, however, in the majority of the cases no cause is identified, and the factors associated with RM may not be causally related with the condition.