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Stratifying Endometrial Cancer Patients Using a PET/MRI Prognostic Model

Stratifying Endometrial Cancer Patients Using a PET/MRI Prognostic Model

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04212910
Enrollment
101
Registered
2019-12-30
Start date
2019-07-23
Completion date
2027-02-28
Last updated
2024-04-12

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

Conditions

Endometrium Cancer

Keywords

endometrium, cancer, PET-MRI, stratification

Brief summary

Endometrial cancer (EC) is the most common gynecological malignancy in high-income countries. Prognosis and treatment are dictated by cancer histological subtype and grade coupled with surgical staging as described by Surgical International Federation of Gynecology and Obstetrics (FIGO) staging system. Surgery is the elective standard treatment and used for staging of EC. The purpose of this study is to collect images from a simultaneous PET/MRI study from which to extrapolate a preoperative, non-invasive, prognostic model.

Detailed description

Magnetic resonance imaging (MRI) is the most frequently used imaging tool in preoperative staging of endometrial cancer. FDG-PET has demonstrated higher sensitivity than MRI in detecting nodal involvement and metastatic disease and is currently used in adjunction to MRI. Distinct MRI and FDG-PET parameters correlate well with tumor aggressiveness and can and have been used as prognostic factors. The Investigators believe that the combination of data from these two imaging techniques, from which different derived tumor features can be extrapolated, can stratify patients in high-risk and low-risk groups already preoperatively. The aim of combined techniques is to collect large amounts of data leveraging advantages of both modalities (MR's strengths in local staging and PET's strengths in nodal staging) in a single scan from which to extrapolate a preoperative, non-invasive, prognostic model.

Interventions

None listed

Sponsors

IRCCS San Raffaele
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

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

Inclusion criteria

* histopathological confirmation of a primary endometrial cancer * age \> 18 years * no contraindication to surgery (comorbidity, contraindication or lack of consent) * no contraindication to preoperative imaging * visible tumor at imaging * signed inform consent.

Exclusion criteria

* patients unsuitable for surgical intervention (comorbidity, contraindication or lack of consent, poor performance status) * age \< 18 years, c) inability to complete the needed imaging examination (ie, severe claustrophobia) * any additional medical condition that may significantly interfere with study compliance * all the contraindication for MRI (ie, pacemaker).

Design outcomes

Primary

MeasureTime frameDescription
PET imaging0-2 yearsTumor/positive lymph node/metastases SUV values
MRI0-2 yearspositive lymph node evaluation
PET imaging evaluation0-2 yearsPET positive lymph nodes
MRI evaluation0-2 yearsMeasure tumor volume and correlate to surgical specimen
MRI imaging0-2 yearsChanges in ADC normale versus tumor myometrium
MRI imaging evaluation0-2 yearsDepth of myometrial invasion
DCE-MRI perfusion parameters0-2 yearsDefine tumor perfusion in normal versus tumor myometrium

Secondary

MeasureTime frameDescription
Correlate PET and MRI derived functional and morphological parameters with histology0-5 yearsImaging derived parameters correlated with histopathology
Measure tumor angiogenesis0-2 yearsangiogenesis marker, CD1

Countries

Italy

Contacts

Primary ContactStephanie Steidler, PhD
steidler.stephanie@hsr.it+39022643

Outcome results

None listed

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