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Innovative Non-Invasive Diagnostics and Personalized Treatment Strategies for Endometriosis Through Advanced Multi-Omics and Ultrasound Integration

Innovativa Icke-invasiva Diagnostiska Och Personliga Behandlingsstrategier för Endometrios Genom Avancerad Multi-omik Och Ultraljudsintegration

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07570225
Acronym
ENDO-NOVA
Enrollment
365
Registered
2026-05-06
Start date
2026-04-20
Completion date
2029-04-20
Last updated
2026-05-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Endometriosis, Infertility, Female

Keywords

Transvaginal ultrasound, AI, Multi-omics, Organoid

Brief summary

Endometriosis is a prevalent gynecological condition affecting approximately 10% of women of reproductive age worldwide. It presents with nonspecific but often severe symptoms, including chronic pelvic pain (in 70% of cases) and infertility (in up to 40% of cases), imposing significant physical, psychological, economic, and societal burdens. Despite its widespread occurrence, the exact etiology and pathogenesis of endometriosis remain unclear, and no definitive cure exists. Early diagnosis and management are crucial for improving patient outcomes; however, major diagnostic delays persist. Current imaging techniques such as transvaginal ultrasound (TVUS) examination and magnetic resonance imaging, along with biochemical markers lack sufficient specificity. Consequently, confirmation of diagnosis still requires surgical procedures under general anesthesia, i.e. laparoscopy ("key-hole surgery") and tissue biopsy. This delay exacerbates the disease burden and healthcare costs, underscoring the urgent need for non-invasive, precise diagnostic strategies. This project proposes a multi-modal approach integrating advanced ultrasound imaging with novel biomarkers identified via comprehensive multi-omics analyses, including proteomics, transcriptomics, and immune profiling, of patient-derived endometrial organoids. It aims to understand the underlying mechanisms of reduced endometrial receptivity of embryos in patients with endometriosis. Additionally, we will explore personalized treatment strategies by utilizing patient-specific organoids for drug screening and evaluation of treatment response. This project aims to develop a non-invasive diagnostic strategy by integrating: 1. AI-enhanced TVUS for improved lesion detection. 2. Multi-omics biomarker discovery through proteomics, transcriptomics, and immune profiling. 3. Underpinning the mechanisms of reduced endometrial receptivity in endometriosis using an in vitro model of embryo-endometrium interaction. 4. Endometrial organoid models to enable precision medicine-based drug testing. The development of a reliable noninvasive or minimally invasive diagnostic test-or a combination of tests-could revolutionize the diagnostic pathway by reducing delays, avoiding the need for surgery, and facilitating disease monitoring and treatment evaluation.

Interventions

DIAGNOSTIC_TESTNon-invasive diagnosis of endometriosis

Diagnosis using AI-enhanced transvaginal ultrasound, multi-omics, and organoids

Sponsors

Region Stockholm
Lead SponsorOTHER_GOV
Karolinska Institutet
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 45 Years

Inclusion criteria

* Women aged 18-45 * Understands and speaks the Swedish language * Suspected or confirmed endometriosis

Exclusion criteria

* Do not have a uterus

Design outcomes

Primary

MeasureTime frameDescription
Diagnostic accuracy of the combined AI-assisted transvaginal ultrasound and multi-omics biomarker model for detection of endometriosisAt baseline diagnostic evaluationSensitivity and specificity of a combined diagnostic model integrating AI-assisted interpretation of transvaginal ultrasound images with plasma, saliva, urine, and endometrial-derived biomarkers for the detection of endometriosis, using laparoscopic diagnosis with or without histological confirmation as the reference standard.

Secondary

MeasureTime frameDescription
Diagnostic accuracy of AI-assisted transvaginal ultrasound aloneBaselineTo evaluate the performance of AI-assisted transvaginal ultrasound (TVUS) for detection and classification of endometriosis lesions.
Diagnostic performance of plasma and endometrial biomarker panelBaseline sample collectionTo assess the ability of plasma and endometrial-derived biomarkers to detect endometriosis, disease stage, and correlate to clinical symptoms.
Implantation rate in in vitro endometrial modelsPeriprocedural/ During in vitro culture period (e.g., up to 5-10 days)To compare the attachment rate of embryo-derived or stem cell-derived embryonic structures (blastoids) to endometrial tissue from women with and without endometriosis.
Molecular characteristics associated with embryo/blastoid attachmentPeriprocedural/During in vitro experimentsTo evaluate transcriptomic and hormonal differences between successfully and unsuccessfully attaching embryos or blastoids.
Organoid drug response variability and association with disease characteristicsAt baseline sample collection and through study completion (around 3 years)To evaluate variability in response to hormonal and immune-targeted therapies in organoids and association with disease severity.

Contacts

CONTACTStefhanie Romero Andersson, MD, PhD, MSc
stefhanie.romero.andersson@ki.se0046707822742
STUDY_CHAIRRonak Perot, MD

Region Stockholm

STUDY_CHAIRLars Henningsohn, MD,Prof

Karolinska Institutet

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 7, 2026