Computer Aided Tool for Diagnosis of Neck Masses in Children
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
-
-
Sichuan
-
Chengdu, Sichuan, China, 6100041
- Recruiting
- West China Hospital, Sichuan University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age up to 18 years old
- Receiving no treatment before diagnosis
- With written informed consent
Exclusion Criteria:
- Clinical data missing
- Unavailable radiological images
- Without written informed consent
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Retrospective cohort
The internal cohort was retrospectively enrolled in West China Hospital, Sichuan University from June 2010 and December 2020.
It is a training and internal validation cohort.
|
Different machine learning and deep learning computer aided strategies for model construction and validation.
|
|
Prospective cohort
The same inclusion/exclusion criteria were applied for the same center prospectively.
It is an external validation cohort.
|
Different machine learning and deep learning computer aided strategies for model construction and validation.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The diagnostic accuracy of neck masses with AI-based screening tools in children
Time Frame: 1 month
|
The diagnostic accuracy of neck masses with AI-based screening tools in children.
|
1 month
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The diagnostic sensitivity of neck masses with AI-based screening tools in children
Time Frame: 1 month
|
The diagnostic sensitivity of neck masses with AI-based screening tools in children.
|
1 month
|
|
The diagnostic specificity of neck masses with AI-based screening tools in children
Time Frame: 1 month
|
The diagnostic specificity of neck masses with AI-based screening tools in children.
|
1 month
|
|
The diagnostic positive predictive value of neck masses with AI-based screening tools in children
Time Frame: 1 month
|
The diagnostic positive predictive value of neck masses with AI-based screening tools in children.
|
1 month
|
|
The diagnostic negative predictive value of neck masses with AI-based screening tools in children
Time Frame: 1 month
|
The diagnostic negative predictive value of neck masses with AI-based screening tools in children
|
1 month
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
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
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- HX-20211023
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
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