Clinical trial Recruiting at 1 site Observational Ages 18 and up Women only

Using CT radiomics to better characterize ovarian cancer

Official title: Prospective Validation of CT Based Radiomic Models to Predict Surgical and Clinical Outcomes in Advanced Epithelial Ovarian Cancer

Run by Imperial College Healthcare NHS Trust · NCT06817174 · Data updated 2026-11-12

This project will try using advanced computer analysis of routine CT scans (radiomics) to predict treatment response and tumor features in adults with advanced epithelial ovarian cancer.

Quick facts

Study typeObservational
Ages18 Years and up
SexWomen only
Enrollment168 (estimated)
SponsorImperial College Healthcare NHS Trust
Academic / other
Drugs / interventionschemotherapy
Locations1 site (London)
StatusRecruiting
StartedFebruary 10, 2025
Main results expectedJanuary 2032
Study endsJanuary 2032
Registry record updatedJune 27, 2025
Trial IDNCT06817174 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults (≥18) with suspected or confirmed advanced epithelial ovarian cancer (FIGO stage 3B or higher), visible disease ≥2 cm on a portal-venous CT, able to give informed consent, and planned for active anticancer treatment are the intended participants.

Probably not a fit

Patients with no measurable disease on CT (<2 cm), those only fit for palliative care, pregnant individuals, or people with contraindications to contrast-enhanced CT are unlikely to benefit from participation.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study collects pre-treatment portal-venous phase CT scans from adults with suspected or confirmed advanced epithelial ovarian cancer (FIGO stage ≥3B) who are planned for surgery and/or chemotherapy. Using radiomics, the team will extract quantitative imaging features from visible lesions (≥2 cm) and link those features to clinical data, histology, and treatment outcomes. No experimental interventions are given; researchers will analyze routine imaging and clinical records to build and test models that could predict prognosis or response. The work is led by Imperial College Healthcare NHS Trust with collaborators including the National Cancer Center, Korea.

Why it matters

Potential benefit: If successful, radiomic models could help doctors tailor surgery and chemotherapy plans by predicting which patients are more or less likely to respond.

How similar studies have gone: Previous radiomics studies in ovarian cancer and other tumors have shown promising correlations with prognosis and surgical outcomes but remain preliminary and are not yet part of standard clinical practice.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Written (signed and dated) informed consent
* Age 18 years or over
* Suspected or confirmed advanced epithelial ovarian cancer (FIGO stage 3B or more)
* Being considered for active anticancer treatment i.e. primary cytoreductive surgery followed by chemotherapy or neoadjuvant chemotherapy followed by interval cytoreductive surgery
* Evaluable baseline portal venous phase CT scan prior to surgical or medical treatment for ovarian cancer
* Disease visible on pre-treatment portal venous phase baseline CT scan (≥2cm)

Exclusion Criteria:

* Known contra-indication to CT with IV contrast (e.g. contrast allergy, renal failure, inability to lie flat);
* Unable to give informed consent;
* Known pregnancy;
* No visible disease \<2cm on portal venous phase baseline CT scan;
* Previous surgery for resection of an adnexal mass;
* Significant artefact on CT image for example from metal prostheses that precluded meaningful segmentation of visible disease
* Only fit for palliative care at initial presentation

Where it's running

  • Imperial College NHS Healthcare Trust
    London, United Kingdom
    Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.