SCOOT

• Research type

  Research Study

• Full title

  Sample Collection for The Integration and Analysis of Data Using Artificial Intelligence to Improve Patient Outcomes with Thoracic Diseases

• IRAS ID

  306757

• Contact name

  N/A RGEA

• Contact email

  ctrg@admin.ox.ac.uk

• Sponsor organisation

  University of Oxford

• Duration of Study in the UK

  2 years, 4 months, 31 days

• Research summary

  Lung Cancer is the second most common Cancer in the UK and the most lethal. Unfortunately, more than 75% of lung cancers in the UK are diagnosed late, and the 5-year survival rate for these patients is very low (5%).
  Recently blood tests have been thought to be helpful in diagnosing lung cancer, and in this study we plan to take blood from patients that have a nodule suspected of being cancer (5000 patients). Taking blood samples from these patients will allow SCOOT to test if blood biomarkers can be used to help to predict whether a detected nodule suspected of being a lung cancer is cancerous or not.

• REC name

  Yorkshire & The Humber - South Yorkshire Research Ethics Committee

• REC reference

  22/YH/0064

• Date of REC Opinion

  10 Mar 2022

• REC opinion

  Favourable Opinion