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Magnetic Resonance Fingerprinting in the Imaging of Endometrial Cancer

MARF-E- Magnetic Resonance Fingerprinting in the Imaging of Endometrial Cancer

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05807672
Acronym
MARF-E
Enrollment
150
Registered
2023-04-11
Start date
2022-04-23
Completion date
2025-12-31
Last updated
2023-04-11

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

Conditions

Endometrial Cancer

Brief summary

In this context, the aim of this study is to investigate the role of MRF in endometrial cancer. Several applications are possible. Firstly, T1-, T2- and DWI-mappings can be associated to molecular risk group classification, in order to stratify patients' risk without recurring to surgery. MRF parameters can be also correlated to prognosis, both in terms of disease-free survival (DFS) and overall survival (OS).

Interventions

None listed

Sponsors

Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients with biopsy-proven endometrial cancer; * Women aged \> 18 years old; * Signed Informed consent.

Exclusion criteria

* Previous history of neoplasm; * Concurrent malignancies at other sites.

Design outcomes

Primary

MeasureTime frame
Association between T1-, T2- and diffusion-mappings and risk group classification3 months

Secondary

MeasureTime frame
Diagnostic accuracy of T1-,T2- and diffusion-mappings deriving from MRF in myometrial invasion detection3 months
Correlation between T1-, T2- and diffusion mappings and DFS and OS3 years
Diagnostic accuracy of T1-,T2- and diffusion-mappings and pathological nodal involvement3 months
Evaluation of Radiomic and Radiogenomic models to predict recurrence in early stage EC and to predict DFS and OS3 years

Countries

Italy

Contacts

Primary ContactBenedetta B Gui, MD
benedetta.gui@policlinicogemelli.it+39 0630156054
Backup ContactBenedetta B Gui, MD
benedetta.gui@policlinicogemelli.it0630156054

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026