Lung Nodule Imaging Biobank for Radiomics and AI Research

Last updated: June 8, 2021
Sponsor: Royal Marsden NHS Foundation Trust
Overall Status: Active - Recruiting

Phase

N/A

Condition

Lung Cancer

Non-small Cell Lung Cancer

Cancer

Treatment

N/A

Clinical Study ID

NCT04270799
CCR5215
  • Ages > 18
  • All Genders

Study 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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Age > 18
  • Baseline CT thorax imaging reported as having pulmonary nodule(s) between 5 and 30mmin 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

Exclusion Criteria:

  • • Absence of at least one technically adequate CT thorax imaging series (defined byvisual 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

Total Participants: 1000
Study Start date:
June 01, 2020
Estimated Completion Date:
August 31, 2021

Connect with a study center

  • Royal Marsden - Surrey

    Sutton, England SM2 5PT
    United Kingdom

    Active - Recruiting

  • Lewisham and Greenwich NHS Trust

    London, Greater London SE6 4JH
    United Kingdom

    Active - Recruiting

  • Epsom and St Helier's Hospitals NHS Trust

    Carshalton, Surrey SM5 1AA
    United Kingdom

    Site Not Available

  • The Royal Brompton NHS Foundation Trust

    London, SW3 6NP
    United Kingdom

    Active - Recruiting

  • University College London Hospitals NHS Foundation Trust

    London, NW1 2PG
    United Kingdom

    Active - Recruiting

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