Endometrial Cancer Clinical Trial
Official title:
Can Staging Magnetic Resonance Imaging (MRI) Features Prognosticate Patients Presenting With Endometrial Cancer?
Aim: Assess the value of MRI features in predicting prognosis in patients with endometrial cancer This study will examine the MRI features of women with confirmed endometrial cancer to see if textural features can prognosticate patients.
Status | Recruiting |
Enrollment | 500 |
Est. completion date | December 10, 2025 |
Est. primary completion date | December 10, 2021 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - All women presenting with a confirmed diagnosis of endometrial cancer - Reviewed at the Specialist Gynaecology Oncology MDT - Have MR Imaging and Hysterectomy specimens available for review. Exclusion criteria: - Anyone lacking capacity. - <18years old. - Pregnant. - No MR Imaging available for review -- No pathology specimen available for review |
Country | Name | City | State |
---|---|---|---|
United Kingdom | Queen Charlotte and Hammersmith Hospital | London |
Lead Sponsor | Collaborator |
---|---|
Imperial College London |
United Kingdom,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | To assess the value of MRI features in predicting prognosis in patients with endometrial cancer using progression free survival (PFS) and overall survival (OS) as end points | Assess features of pelvic MRIs (including (i) tumour image intensity, (II) shape, (III) texture and (IV) multiscale wavelet) and create a mathematical algorithm to predict prognostic outcome (5 year survival). | 8 years (3 year data collection and 5 year follow up). | |
Secondary | Assess the correlation between imaging features and histopathological features. | Assess textural features of pelvic MRI in conjunction with histopathology (type of tumour, grade LVSI, 'aggressiveness' of cancer | 3 years |
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