Feasibility and Preliminary Performance of an AI Prototype for Digital ROSE During EBUS-TBNA and Peripheral TBNA: a Prospective Pilot Study (AI-ROSE-FEAS)
NCT07662967
AI (Artificial Intelligence), Bronchoscopy
View Trial DetailsNCT Number: NCT05389774
This study is a multi-centre prospective observational cohort study recruiting patients with 5-30mm solid and part-solid pulmonary nodules that have been detected on CT chest scans performed as part of routine practice. The aim is to determine whether physician decision making with the AI-based LCP tool, generates clinical and health-economic benefits over the current standard of care of these patients.
Interested in participating?
Request Info35 year and older
All sexes
Observational
Betsi Cadwaladr University Health Board, Bangor, United Kingdom
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Patients are eligible for the study if all of the following apply:
Exclusion criteria
Patients will be excluded from the study if any of the following apply:
Time frame: up to 1 year.
Measured difference between standard care, LCP and LCP-guided care for:
Time frame: up to 1 year.
Percentage of cancer patients for whom there would have been a change in clinical management by LCP and LCP-guided care compared with the actual (standard) care (correctly by more aggressive management and incorrectly for less aggressive management).
Percentage of benign-nodule patients for whom there would have been a change in clinical management by LCP and LCP-guided care compared with the actual (standard) care (incorrectly by more aggressive management and correctly for less aggressive management).
Measured difference between standard care, LCP and LCP-guided care for:
Time frame: up to 1 year.
Measured difference between standard care, LCP and LCP-guided care for:
Time frame: up to 1 year.
Measured difference between standard care, LCP and LCP-guided care for:
Time frame: up to 1 year.
Measured difference between standard care and LCP-guided care for :
Number and percentage of patients for whom a validated risk model (Brock or LCP) is used to guide the next clinical management step (i.e., counting the instances where Brock is not used, or where LCP is not possible to compute or it is ignored).
Nottingham University Hospitals NHS Trust
Other
DOLCE: Determining the Impact of Optellum's Lung Cancer Prediction (LCP) Artificial Intelligence Solution on Service Utilisation, Health Economics and Patient Outcomes
Acronym: DOLCE
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07662967
AI (Artificial Intelligence), Bronchoscopy
View Trial DetailsNCT07637461
AI (Artificial Intelligence), Behavior
Taipei, Taiwan
View Trial DetailsNCT07577609
AI (Artificial Intelligence), Arterial Occlusive Diseases
Galway, Ireland
View Trial DetailsNCT07087418
AI (Artificial Intelligence), Digestive Diseases
Shanghai, China
View Trial Details