Evaluation of Use of Diagnostic AI for Lung Cancer in Practice

Lung Cancer Clinical Trial

Official title:

Evaluation of Use of Diagnostic AI for Lung Cancer in Practice

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT03780582
• Other study ID #: EN-122018
• Status: Active, not recruiting
• Phase: N/A
• Start date: December 14, 2018
• Est. completion date: December 15, 2019

Study information

• Verified date: July 2019
• Source: Ensemble Group Holdings, LLC
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

This study investigates ways of improving radiologists performance of the classification of CT-scans as cancerous or non-cancerous. Participants interact with an AI to classify CT-scans under three different conditions.

Description:

The three conditions are as follows: "probabilistic classification", where the radiologist diagnoses scans using an AI cancer likelihood score; "classification plus detection", where the radiologist see detecting lung nodules in addition to the AI's probabilistic classification score before making her own examination of the CT-scan; and "classification with delayed detection", where the radiologist identifies regions of interest independently of the AI and then sees the AI's detected ROIs.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 15
• Est. completion date: December 15, 2019
• Est. primary completion date: December 15, 2019
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• The participant performs radiology screenings professionally

Exclusion Criteria:

-

Related Conditions & MeSH terms

• Lung Cancer
• Lung Neoplasms

Intervention

Behavioral:
• AI-human interaction
Exploring what kinds of AI-human interaction improve radiologists detection accuracy.

Locations

Country	Name	City	State
Hong Kong	University of Hong Kong	Hong Kong

Sponsors (1)

Lead Sponsor	Collaborator
Ensemble Group Holdings, LLC

Country where clinical trial is conducted

Hong Kong, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Classification accuracy	This compares radiologists' classifications with the ground truth in the tested cases.	up to 4 months after initiation of evaluation of the test set
Secondary	detection concordance	Evaluation of concordance between radiologists in the tested cases in detection of lung nodules > 4 mm	up to 4 months after initiation of evaluation of the test set