Mesenteric Infiltration in Ovarian Cancer (MIO)
CT Detected Tumour Infiltration Patterns of the Mesentery in High Grade Ovarian Carcinoma (HGSOC) Patients, Their Role in Treatment Planning and Outcome Prediction and How Machine Learning Can be Applied to Identify Them.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Camilla Panico, Dr
- Phone Number: +390630155701
- Email: camilla.panico@policlinicogemelli.it
Study Locations
-
-
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Roma, Italy, 00168
- Recruiting
- Advanced Radiology Center
-
Contact:
- Camilla Panico, MD
- Phone Number: +390630158637
- Email: camilla.panico@policlinicogemelli.it
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Women with confirmed HGSOC wiht mesenteric involvment
- Age > 18 years
- FIGO STAGE IIIB-IV
- Primary diagnosis
- Signed informed consent
Exclusion Criteria:
- 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 scan not available
- Non-primary diagnosis or patient subjected to neoadjuvant chemotherapy
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Retrospective cohort
Patients affected by High Grade Seruous Ovarian Cancer with mesenteric infiltration confirmed by diagnostic laparoscopy, from January 2021 to December 2023
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Computed Tomography done according to Clinical Practice to assess mesenteric involvment
|
|
Prospective cohort
Patients affected by High Grade Seruous Ovarian Cancer with mesenteric infiltration confirmed by diagnostic laparoscopy
|
Computed Tomography done according to Clinical Practice to assess mesenteric involvment
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Preoperative Artificial Intelligence assisted CT-based evaluation
Time Frame: 1 year
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Preoperative Artificial Intelligence assisted CT-based prediction of patients with suboptimal debulking at surgery due to diffuse mesenteric disease or mesenteric retraction.
|
1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Evaluation of the Radiologist Assessment of the CT
Time Frame: 1 year
|
Identification of mesenteric infiltration from CT images using Artificial Intelligence at a comparable performance with human/radiologist assessment.
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1 year
|
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Prediction of Platinum Resistance
Time Frame: 1 year
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AI-assisted CT-based prediction of patients who will develop platinum resistance
|
1 year
|
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Prediction of Progression Free Survival (PFS) and Overall Survival (OS)
Time Frame: 2 years
|
Prediction of Progression Free Survival (PFS) and Overall Survival (OS) with Artificial Intelligence
|
2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Camilla Panico, Dr, Fondazione Policlinico Universitario A. gemelli, IRCCS
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Urogenital Diseases
- Genital Diseases
- Endocrine System Diseases
- Urogenital Neoplasms
- Neoplasms by Site
- Neoplasms
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Genital Diseases, Female
- Endocrine Gland Neoplasms
- Ovarian Diseases
- Adnexal Diseases
- Genital Neoplasms, Female
- Gonadal Disorders
- Ovarian Neoplasms
Other Study ID Numbers
Other Study ID Numbers
- 6363
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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