Lung Nodule Imaging Biobank for Radiomics and AI Research

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.

Conditions

• Lung Cancer
• Pulmonary Nodule, Multiple
• Pulmonary Nodule, Solitary
• Lung Neoplasms

Interventions

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.

Sponsors & Collaborators

• RM Partners West London Cancer Alliance

  collaborator UNKNOWN

• Royal Brompton & Harefield NHS Foundation Trust

  collaborator OTHER

• University College London Hospitals

  collaborator OTHER

• Imperial College Healthcare NHS Trust

  collaborator OTHER

• Lewisham and Greenwich NHS Trust

  collaborator OTHER_GOV

• King's College Hospital NHS Trust

  collaborator OTHER

• Epsom and St Helier University Hospitals NHS Trust

  collaborator OTHER

• Institute of Cancer Research, United Kingdom

  collaborator OTHER

• Guy's and St Thomas' NHS Foundation Trust

  collaborator OTHER

• UCLH Biomedical Research Centre

  collaborator UNKNOWN

• Royal Marsden NHS Foundation Trust

  lead OTHER

Principal Investigators

• Richard Lee, MBBS PhD · The Royal Marsden Hospital

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2020-06-01

Primary Completion

2021-08-31

Completion

2021-08-31

Countries

• United Kingdom

Study Locations