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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04270799
Other study ID # CCR5215
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date June 1, 2020
Est. completion date August 2021

Study information

Verified date June 2021
Source Royal Marsden NHS Foundation Trust
Contact Richard Lee, MBBS PhD
Phone 020 7352 8171
Email richard.lee@rmh.nhs.uk
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This study will collect retrospective CT scan images and clinical data from participants with incidental lung nodules seen in hospitals across London. The investigators will research whether machine learning can be used to predict which participants will develop lung cancer, to improve early diagnosis.


Recruitment information / eligibility

Status Recruiting
Enrollment 1000
Est. completion date August 2021
Est. primary completion date August 2021
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Age > 18 - Baseline CT thorax imaging reported as having pulmonary nodule(s) between 5 and 30mm in the last 10 years. - Ground truth known (either scan data showing stability for 2 years (based on diameter) or one year (based on volumetry), complete resolution, or biopsy-proven malignancy. - Slice thickness < 2.5mm. Exclusion Criteria: - • Absence of at least one technically adequate CT thorax imaging series (defined by visual inspection of presence of imaging data of the thorax in the DICOM record). - Slice thickness > 2.5mm. - Imaging > 10 years old. - Ground truth unknown.

Study Design


Intervention

Diagnostic Test:
Machine Learning Classification
Patient's scans will be used as input into in-house software to extract multiple radiomics features. These features will be used to develop a risk-signature which can predict malignancy risk. Patient scans will also be used as input into deep learning/convolutional neural network models to perform automated imaging classification.

Locations

Country Name City State
United Kingdom Epsom and St Helier's Hospitals NHS Trust Carshalton Surrey
United Kingdom Lewisham and Greenwich NHS Trust London Greater London
United Kingdom The Royal Brompton NHS Foundation Trust London
United Kingdom University College London Hospitals NHS Foundation Trust London
United Kingdom Royal Marsden - Surrey Sutton England

Sponsors (11)

Lead Sponsor Collaborator
Royal Marsden NHS Foundation Trust Epsom and St Helier University Hospitals NHS Trust, Guy's and St Thomas' NHS Foundation Trust, Imperial College Healthcare NHS Trust, Institute of Cancer Research, United Kingdom, King's College Hospital NHS Trust, Lewisham and Greenwich NHS Trust, RM Partners West London Cancer Alliance, Royal Brompton & Harefield NHS Foundation Trust, UCLH Biomedical Research Centre, University College London Hospitals

Country where clinical trial is conducted

United Kingdom, 

Outcome

Type Measure Description Time frame Safety issue
Primary Development of an imaging biobank The primary endpoint will be met if we are able to store baseline CT scans and the minimum clinical data set for 1000 patients. 1 year
Secondary Discovery of a CT-thorax based radiomics profile to predict cancer risk. We aim to identify distinct clusters of radiomics variables to generate a radiomics predictive vector (RPV), which can be used to stratify patients according to malignancy risk. This vector will be used in multivariate analysis and compared to existing risk models. 1 year
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