Clinical Research Directory

Investigation of the Impact of Myomectomy on Uterine Artery Doppler Velocimetry Findings

Objective: This scientific study aims to investigate whether myomectomy induces significant changes in uterine artery blood flow patterns. While Doppler ultrasonography is traditionally used to assess myoma vascularity, differential diagnosis (adenomyoma or sarcoma), and fertility impacts, there is a lack of prospective evidence comparing preoperative and postoperative uterine artery Doppler findings. Study Design and Rationale: The study will evaluate the hemodynamic influence of myomectomy by comparing flow measurements in the main uterine artery before and after surgical intervention. Existing literature has primarily focused on the correlation between myoma volume and vascular resistance; however, the direct impact of surgical removal of a myoma on uterine artery doppler velocimetry remains under-investigated. Participant Involvement: Participation is entirely voluntary, and participants may withdraw at any time without any impact on their medical care. Data collection involves routine clinical history, physical examination, and non-invasive ultrasound measurements. Clinical Significance: By establishing the effect of myoma removal on uterine blood supply, this research aims to provide guiding data for the follow-up and treatment planning of patients with leiomyomas. The findings may offer new insights into how surgical management restores or alters uterine hemodynamics, potentially influencing future diagnostic and therapeutic approaches.

Artificial Intelligence Into Ultrasound Diagnostics in Reproductive Medicine

The goal of this observational study is to develop and validate artificial intelligence (AI)-based algorithms that support ultrasound diagnosis of endometriosis, adenomyosis, myometrial masses, uterine malformations, and impaired endometrial receptivity in women aged 18-45 years. The main questions it aims to answer are: Can AI algorithms, applied to standardized transvaginal ultrasound images, accurately detect and classify endometriosis and adenomyosis in real time during routine examination? Can AI-based ultrasound assessment predict the histological dignity of myometrial masses, and the likelihood of successful assisted reproduction (AR/IVF) outcome from endometrial features? Participants attending the Department of Obstetrics and Gynecology, Semmelweis University, with clinical suspicion of endometriosis or adenomyosis, a confirmed myometrial mass scheduled for surgery, a suspected uterine anomaly, or scheduled IVF treatment, will undergo standardized transvaginal ultrasound examination (following the IDEA, MUSA, and IETA protocols) alongside collection of clinical, questionnaire, and, where surgery is performed, histopathological data. Imaging and clinical data will be used to build a database supporting the development and validation of the AI algorithms.

The Effect of Uterine Manipulator Use During Abdominal Hysterectomy on Postoperative Sexual Function

This prospective, single-center, randomized controlled trial aims to evaluate the effect of uterine manipulator use during total abdominal hysterectomy on postoperative female sexual function at 3 months, assessed by the Female Sexual Function Index (FSFI). Secondary outcomes include operative time, perioperative hemoglobin change, postoperative pain (VAS), hospital stay duration, and 30-day complications.