Evaluation of the Diagnostic and Prognostic Role of PET (PET/CT and PET/MRI) in Gynecological Tumors.
NCT ID: NCT06159907
Last Updated: 2024-03-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
380 participants
OBSERVATIONAL
2021-10-27
2024-12-27
Brief Summary
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Ultrasound examination is the investigation commonly used to monitor high-risk women.
Magnetic resonance imaging (MRI) is considered the most accurate imaging technique for presurgical staging of gynecological tumors. Computed tomography (CT), on the other hand, is not usually used for diagnosis, but is considered very useful for investigating possible distant metastases.Finally, integrated positron emission tomography (PET)/CT and PET/MRI methods are innovative molecular imaging techniques and represent a continually expanding field of research in the oncology setting, including gynecological malignancies.
The present study is of considerable clinical relevance as at our Institute it is possible to have a significant number of patients suffering from gynecological neoplastic pathologies that are studied using PET, thus allowing the identification and validation of innovative imaging biomarkers, with the use of both traditional imaging parameters and radiomic features.
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Interventions
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the diagnostic and prognostic value of PET/MRI and PET/CT with 18F-FDG in patients presenting with gynecological tumors
For the evaluation of patients affected by endometrial cancer, the correlations between semi-quantitative PET parameters (SUVmax, SUVmean, MTV and TLG calculated at different SUVmax thresholds) and histological data, such as for example myometrial invasion, will be investigated. lymph node invasion, tumor grade and type, risk level, probability of mutation of the p53 gene, etc.
In addition to traditional imaging parameters we will also investigate the usefulness of radiomic features, i.e. quantitative data extracted from PET images (PET/CT or PET/MRI), in predicting and explaining histological data
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
FEMALE
No
Sponsors
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IRCCS San Raffaele
OTHER
Responsible Party
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Chiti Arturo
Professor in Diagnostic Imaging and Radiotherapy Faculty of Medicine and Surgery, Vita-Salute San Raffaele University Director, Department of Nuclear Medicine, IRCCS Ospedale San Raffaele
Locations
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Irccs San Raffaele
Milan, Italia, Italy
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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PET-GYN-Retrospective
Identifier Type: -
Identifier Source: org_study_id
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