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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT03543215
Other study ID # 16HH3687 Radiomics EC
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date July 13, 2017
Est. completion date December 10, 2025

Study information

Verified date February 2021
Source Imperial College London
Contact Diana Marcus, MB BS
Phone 020 7589 5111
Email d.marcus16@imperial.ac.uk
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

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.


Description:

Aim: Assess the value of MRI features in predicting prognosis in patients with endometrial cancer Background: Endometrial cancer is the commonest gynaecological cancer in the United Kingdom. MR Imaging is used to provide pre-treatment local staging in Endometrial Cancer based on the FIGO staging system. This MRI stage is used by clinicians, in combination with pre-operative histology and clinical assessment of the patient, to counsel patients about their prognosis. Currently the information obtained from the MRI study is largely anatomical and concerns the extent of local tumour spread at the time of diagnosis. Each stage under the FIGO system is associated with a prognosis based on data from the literature. Important prognostic indicators include the depth of tumour invasion in the uterine muscle (myometrium), invasion of the cervical stroma by tumour, spread to lymph node tissues and the histological sub-type of tumour present. However, with ever improving MRI technology there are now newer sequences employed as part of the staging study which may potentially yield more information. In other cancer types, e.g. prostate, breast and liver, textural analysis of the tumour on pre-treatment imaging (CT/PET-CT/MRI) is being analysed to try and identify features which could be used as prognostic markers for patient outcome. The Study: All patients with confirmed cancer on histology will receive an Ultrasound and MRI as part of routine care. The MRI scan will include T1, T2, DWI and contrast enhanced sequences. Patients referred to Hammersmith Hospital from other trusts who are diagnosed with endometrial cancer will be approached for consent and enrolment into latter part of study. These patients will have had an MRI but may not have had all the sequences needed and may therefore require a further MRI scan with additional sequences. These images will be saved and analysed. Pathological findings (e.g. type and grade of cancer) will be correlated with the radiological results. Definitive management of endometrial cancer includes a hysterectomy for most patients. Following surgery patients will continue with routine standard of care and follow up. Patients will be followed up for 5 years to provide 5 year survival data. Images from ultrasound and MRI pelvis will be analysed to see if they can predict the 5 year survival. This prospective study will also be used to validate a retrospective model using MRI textural features in endometrial cancer patients.


Recruitment information / eligibility

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

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Radiomics: Analysis of textural features of imaging (MRI and Ultrasound)
All patients with confirmed endometrial cancer will have received Ultrasound and MRI as part of routine standard of care. Textural features from this will be analysed to see if can predict prognosis.

Locations

Country Name City State
United Kingdom Queen Charlotte and Hammersmith Hospital London

Sponsors (1)

Lead Sponsor Collaborator
Imperial College London

Country where clinical trial is conducted

United Kingdom, 

Outcome

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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