D-Lung: An Analytics Platform for Lung Cancer Based on Deep Learning Technology
D-Lung: An Analytics Platform for Primary Lung Cancer Screening, Diagnosis and Management Based on Deep Learning Technology
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Shatin
-
Hong Kong, Shatin, Hong Kong
- The Chinese University of Hong Kong, Prince of Wale Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- ADULT
- OLDER_ADULT
- CHILD
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Subjects with suspicious lung nodules.
- Thin-layer thoracic CT and pathology examination have been performed for suspicious lung nodules.
Exclusion Criteria:
- Subjects with accompanied lesions on CT images that may interfere to lung nodules analysis
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
accuracy
Time Frame: 2 years
|
proportion of true results(both true positives and true negatives) among whole instances
|
2 years
|
|
sensitivity
Time Frame: 2 years
|
true positive rate in percentage(%) derived by ROC analysis
|
2 years
|
|
specificity
Time Frame: 2 years
|
true negative rate in percentage (%) derived by ROC analysis
|
2 years
|
|
area under curve (AUC)
Time Frame: 2 years
|
area under ROC curve in percentage (%)
|
2 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
average number of false positives per scan (FPs/scan)
Time Frame: 2 years
|
FPs/scan in number (N) based on free-response receiver operating characteristic (FROC) analysis
|
2 years
|
|
competition performance metric (CPM)
Time Frame: 2 years
|
Competitive performance metric (CPM) is a criterion used for CAD system evaluation.
Based on FROC paradigm, CPM score is computed as an average sensitivity at seven predefined average false positive rates.
CPM score ranges from 0 to 1, with higher CPM score indicating better CAD performance.
|
2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2019.306
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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