Optimising Cancer Therapy And Identifying Causes of Pneumonitis USing Artificial Intelligence (COVID-19)

CompletedOBSERVATIONAL
Enrollment

1,211

Participants

Timeline

Start Date

January 27, 2021

Primary Completion Date

March 1, 2022

Study Completion Date

March 1, 2022

Conditions
Lung CancerCovid19Pneumonitis
Interventions
DIAGNOSTIC_TEST

Machine Learning Classification of parenchymal lung change cause

Arms A \& B: Radiomics and deep-learning approaches will be used on patient's imaging to develop a feature vector that can distinguish parenchymal lung changes, e.g. infection from drug-toxicity.

DIAGNOSTIC_TEST

Machine Learning Classification of recurrence and non-recurrence

Arm C: Radiomics and deep-learning approaches will be used on patient's imaging to develop a risk-signature for recurrence of malignancy following radical treatment

Trial Locations (3)

Unknown

Guys and St. Thomas' NHS Foundation Trust, London

Imperial College Healthcare NHS Trust, London

Royal Marsden NHS Foundation Trust, London

All Listed Sponsors
lead

Royal Marsden NHS Foundation Trust

OTHER

NCT04721444 - Optimising Cancer Therapy And Identifying Causes of Pneumonitis USing Artificial Intelligence (COVID-19) | Biotech Hunter | Biotech Hunter