Spatial Radiogenomics of Ovarian Cancer

NCT ID: NCT06324175

Last Updated: 2025-03-13

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 24 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-02-01
• Study Completion Date: 2026-12-31

Brief Summary

The biological spatial and temporal heterogeneity of High Grade Serous Ovarian Carcinoma (HGSOC) severely impacts the effectiveness of therapies and is a determinant of poor outcomes.

Current histological evaluation is made on a single tumour sample from a single disease site per patient thus ignoring molecular heterogeneity at the whole-tumour level, key for understanding and overcoming chemotherapy resistance. Imaging can play a crucial role in the development of personalised treatments by fully capturing the disease's heterogeneity.

Radiomics quantify the image information by capturing complex patterns related to the tissue microstructure. This information can be complemented with clinical data, liquid biopsies, histological markers and genomics ("radiogenomics") potentially leading to a better prediction of treatment response and outcome. However, the extracted quantitative features usually represent the entire tumour, ignoring the spatial context.

On the other hand, radiomics-derived imaging habitats characterize morphologically distinct tumour areas and are more appropriate for monitoring the changes in the tumour microenvironment over the course of therapy. In order to successfully incorporate the habitat-imaging approach to the clinic, histological and biological validation are crucial. However, histological validation of imaging is not a trivial task, due to issues such as unmatched spatial resolution, tissue deformations, lack of landmarks and imprecise cutting. Patient-specific three-dimensional (3D) moulds are an innovative tool for accurate co-registration between imaging and histology. The aim of this study is to optimize and integrate such an automated computational 3D-mould co-registration approach in the clinical work-flow in patients with HGSOC. The validated radiomics-based tumour habitats will also be used to guide tissue sampling to decipher their underlying biology using genomics analysis and explore novel prediction markers.

Conditions

Ovarian Cancer

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

Observational Prospective Cohort

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

• Patients with suspected HGSOC scheduled to undergo primary debulking surgery (PDS) or interval debulking surgery (IDS) will be recruited in the study. Prior histopathological confirmation of HGSOC will be required for IDS. The PDS cases without prior histological diagnosis will be selected on the basis of clinical suspicion (elevated serum CA125 and CT imaging).

Exclusion Criteria

• Patients less than 18 Years old
• Pregnancy
• Non-serous high grade epithelial ovarian cancer (serous low grade, mucinous, clear cell carcinoma, endometrioid or non-epithelial ovarian cancer)
• Early stage disease (I and II stage)
• CT or MRI scan not available

• Minimum Eligible Age: 18 Years
• Eligible Sex: FEMALE
• Accepts Healthy Volunteers: No

Sponsors

Fondazione Policlinico Universitario Agostino Gemelli IRCCS

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Camilla Panico, Dr

Role: PRINCIPAL_INVESTIGATOR

Fondazione Policlinico Universitario A. Gemelli, IRCCS

Locations

Advanced Radiology Center

Roma, , Italy

Site Status: RECRUITING

Countries

Italy

Central Contacts

Camilla Panico, Dr.

Role: CONTACT

camilla.panico@policlinicogemelli.it

+390630158637

Facility Contacts

Camilla Panico, MD

Role: primary

+390630158637

Other Identifiers

6353

Identifier Type: -

Identifier Source: org_study_id