DOLCE: Determining the Impact of Optellum’s LCP Solution

• Research type

  Research Study

• Full title

  DOLCE: Determining the Impact of Optellum’s LCP Artificial Intelligence Solution on Service Utilisation, Health Economics and Patient Outcomes

• IRAS ID

  303378

• Contact name

  David Baldwin

• Contact email

  David.Baldwin@nottingham.ac.uk

• Sponsor organisation

  Nottingham University Hospitals NHS Trust (Managing Director of R&I)

• Clinicaltrials.gov Identifier

  NCT05389774

• Duration of Study in the UK

  2 years, 11 months, 31 days

• Research summary

  We want to assess the potential benefits of artificial intelligence (AI)-enabled analysis software for characterising 5-30mm lung nodules that have been found incidentally on CT scans.

  Specifically, we will determine whether use of the software might have improved patients’ outcomes and experience of care when helping doctors estimate the likelihood of a lung nodule being cancerous. We will also determine whether the software can help the NHS avoid unnecessary scans and procedures, increase limited capacity, and save money as a result.

• REC name

  South Central - Oxford C Research Ethics Committee

• REC reference

  22/SC/0142

• Date of REC Opinion

  12 May 2022

• REC opinion

  Further Information Favourable Opinion