Neoplasms

Urinary Tract, Sexual Organs, and Pregnancy Conditions

All Conditions

Endometrial Neoplasms

Uterine Neoplasms

Genital Neoplasms, Female

Urogenital Neoplasms

Uterine Diseases

Genital Diseases, Female

Genital Diseases

Urogenital Diseases

Female Urogenital Diseases

Pregnancy Complications

Female Urogenital Diseases and Pregnancy Complications

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.

Radiomics: Analysis of textural features of imaging (MRI and Ultrasound)

Diana Marcus, MB BS

Sadaf Ghaem-Maghami

Andrea Rockall

Nishat Bharwani

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.

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.

Can Staging Magnetic Resonance Imaging (MRI) Features Prognosticate Patients Presenting With Endometrial Cancer?

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).

Assess textural features of pelvic MRI in conjunction with histopathology (type of tumour, grade LVSI, 'aggressiveness' of cancer

Imperial College London

Respiratory Tract (Lung and Bronchial) Diseases

Lung Neoplasms

Carcinoma, Non-Small-Cell Lung

Carcinoma

Carcinoma, Bronchogenic

Bronchial Neoplasms

Respiratory Tract Neoplasms

Thoracic Neoplasms

Lung Diseases

Respiratory Tract Diseases

All Drugs and Chemicals

Fluorodeoxyglucose F18

Jean-Baptiste MALLET

Search correlation between texture features in CT-PET 18 FDG and overexpression of PDL1 in non-small cell lung carcinomas during the inital staging.

The hypothesis is that overexpression of PDL1is correlated with at least one texture feature among those selected.

84 CT-PET 18 FDG at the initial staging of a non small cell lung carcinoma (adenocarcinoma or squamous cell carcinoma), whose the biopsed site was the primitive site or the drainage lymphadenopathy, without previous treatment, were recruited and analyzed by a software allowing to estimate texture features.

Texture Features and PDL1 in CT-PET 18 FDG

Correlation Between Texture Features With CT-PET 18 FDG and Overexpression of PDL1 in Non-small-cell Lung Carcinomas During the Initial Staging.

Correlation between at least one texture feature and overexpression of PDL1

University Hospital, Montpellier

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Can Staging Magnetic Resonance Imaging (MRI) Features Prognosticate Patients Presenting With Endometrial Cancer?	NCT03543215	Endometrial Can... Endometrial Neo...	Radiomics: Anal...	18 Years -	Imperial College London
Texture Features and PDL1 in CT-PET 18 FDG	NCT04309422	Non Small Cell ...		18 Years -	University Hospital, Montpellier
Can Staging Magnetic Resonance Imaging (MRI) Features Prognosticate Patients Presenting With Endometrial Cancer?	NCT03543215	Endometrial Can... Endometrial Neo...	Radiomics: Anal...	18 Years -	Imperial College London
Texture Features and PDL1 in CT-PET 18 FDG	NCT04309422	Non Small Cell ...		18 Years -	University Hospital, Montpellier
Texture Features and PDL1 in CT-PET 18 FDG	NCT04309422	Non Small Cell ...		18 Years -	University Hospital, Montpellier

Spots Global Cancer Trial Database for texture features