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Artificial Intelligence Into Ultrasound Diagnostics in Reproductive Medicine (AUDRIE)

15 settembre 2026 aggiornato da: Dr. Ács Nándor, Semmelweis University

Innovation for Women's Health: the Integration of Artificial Intelligence in the Diagnostic Ultrasound Assessment of 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.

Panoramica dello studio

Stato

Reclutamento

Condizioni

Tipo di studio

Osservativo

Iscrizione (Stimato)

1600

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Contatto studio

Luoghi di studio

    • Budapest
      • Budapest, Budapest, Ungheria, 1088
        • Reclutamento
        • Department of Obstetrics and Gynecology, Semmelweis University

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

  • Adulto

Accetta volontari sani

No

Metodo di campionamento

Campione di probabilità

Popolazione di studio

The study population comprises patients aged 18-45 years who attend the Department of Obstetrics and Gynecology at Semmelweis University. A total of 1600 participants will be enrolled: 1200 for the endometriosis/adenomyosis cohort, 200 for the myometrial mass dignity-prediction cohort, and 200 for the cohort addressing other benign infertility-related conditions and AR/IVF outcome prediction.

Descrizione

Inclusion Criteria:

  • Women aged 18-45 years with clinical suspicion of endometriosis or adenomyosis, in whom the diagnosis of endometriosis is subsequently confirmed, including peritoneal, ovarian, and deep infiltrating endometriosis. The diagnosis is established by imaging, laparoscopy, or laparotomy, based on characteristic intraoperative findings and histological analysis (#Enzian classification).
  • Women undergoing ultrasound examination for suspected congenital uterine anomaly or other intracavitary uterine pathology.
  • Women with previously confirmed leiomyoma scheduled for surgical treatment.
  • Women scheduled for IVF treatment or embryo transfer.
  • Willingness and capacity to provide written informed consent prior to enrolment.

Exclusion Criteria:

  • TVUS is not technically feasible.
  • Postmenopausal status.
  • Pregnancy.
  • Puerperium (up to 3 months postpartum).
  • Suspected premalignancy, or presence or history of malignancy.
  • Chronic comorbidities, including uncontrolled diabetes mellitus, severe cardiovascular or respiratory disease, systemic autoimmune disease, or uncontrolled thyroid dysfunction.
  • Other conditions, including psychiatric illness or substance use, and any circumstance in which study participation could pose a risk to the patient, or in which enrolment could bias the study results.
  • For the endometrial receptivity sub-study, confirmed uterine or endometrial pathology other than adenomyosis.

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

Coorti e interventi

Gruppo / Coorte
Endometriosis cohort
Women aged 18-45 years with clinical suspicion of endometriosis, in whom the diagnosis is subsequently confirmed by laparoscopy or laparotomy with histological analysis of the resected specimen (peritoneal, ovarian, or deep infiltrating endometriosis). No intervention is administered; participants undergo a standardized transvaginal ultrasound examination (IDEA protocol) and complete clinical and quality-of-life questionnaires (NRS, EHP-30) as part of routine care.
Ademyosis cohort
Women aged 18-45 years with clinical suspicion of adenomyosis, assessed by standardized transvaginal ultrasound (MUSA protocol) for direct and indirect sonographic features, morphological subtype, and severity. No intervention is administered; assessment occurs as part of routine gynecological care.
Myometrial mass cohort
Women aged 18-45 years with a previously confirmed uterine leiomyoma scheduled for surgical treatment. Participants undergo standardized ultrasound assessment of leiomyoma location, size, and sonographic features prior to surgery, with post-surgical histopathological correlation. No intervention is administered beyond standard-of-care surgical treatment already planned.
Uterine malformation cohort
Women aged 18-45 years undergoing ultrasound examination for suspected congenital (Müllerian) uterine anomaly or other intracavitary uterine pathology. Participants undergo standardized ultrasound assessment; no intervention is administered.
Endometrial receptivity cohort
Women aged 18-45 years scheduled for IVF treatment or embryo transfer, without confirmed uterine or endometrial pathology other than adenomyosis. Participants undergo standardized ultrasound assessment of endometrial thickness, morphology, and vascularity (IETA protocol) around the window of implantation, linked to subsequent assisted reproduction treatment and pregnancy outcome. No intervention is administered.

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Diagnostic accuracy of the AI algorithm for detection of endometriosis and adenomyosis on transvaginal ultrasound
Lasso di tempo: 3 years
Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of the AI-based detection algorithm for endometriosis and adenomyosis, assessed against the reference standard of surgical findings and histopathological confirmation (for participants undergoing surgery) or, where surgery is not performed, expert consensus review of the standardized ultrasound examination.
3 years

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Sponsor

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio (Effettivo)

1 settembre 2026

Completamento primario (Stimato)

31 maggio 2030

Completamento dello studio (Stimato)

31 dicembre 2030

Date di iscrizione allo studio

Primo inviato

3 settembre 2026

Primo inviato che soddisfa i criteri di controllo qualità

3 settembre 2026

Primo Inserito (Effettivo)

9 settembre 2026

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

18 settembre 2026

Ultimo aggiornamento inviato che soddisfa i criteri QC

15 settembre 2026

Ultimo verificato

1 maggio 2026

Maggiori informazioni

Termini relativi a questo studio

Piano per i dati dei singoli partecipanti (IPD)

Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?

NO

Descrizione del piano IPD

The dataset contains transvaginal ultrasound images and linked histopathological and clinical data, which carry a high re-identification risk even after anonymization, particularly given the imaging modality and the relatively narrow, well-defined patient population.

Data processing and storage are governed by a data-sharing agreement between Semmelweis University and GE HealthCare Hungary Ltd., under which anonymized data are accessible only to authorized GE HealthCare personnel on a secure, access-restricted, encrypted server, in compliance with the EU General Data Protection Regulation (GDPR). This arrangement does not extend to third-party researchers outside the collaboration.

Informazioni su farmaci e dispositivi, documenti di studio

Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti

No

Studia un dispositivo regolamentato dalla FDA degli Stati Uniti

No

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .