Deep Learning Model for Pure Solid Nodules Classification
Deep Learning Model Supplementary PET-CT as a More Effectively Diagnostic Method for Pure Solid Nodules Classification: a Multicenter Observational Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
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-
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China, Gansu, China
- Recruiting
- Lanzhou
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Contact:
- Minjie Ma, Dr
- Phone Number: 021-65115006
- Email: 721405952@qq.com
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China, Guizhou, China
- Recruiting
- Zunyi
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Contact:
- Yongxiang Song, Dr
- Phone Number: 021-65115006
- Email: zhaosurgery@163.com
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China, Jiangxi, China
- Recruiting
- NanChang
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Contact:
- Bentong Yu, Dr
- Phone Number: 021-65115006
- Email: 1151697503@qq.com
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China, Zhejiang, China
- Recruiting
- Ningbo
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Contact:
- Minglei Yang, Dr
- Phone Number: 021-65115006
- Email: almondjj@163.com
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Shanghai
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Yangpu, Shanghai, China
- Recruiting
- Shanghai Pulmonary Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Participants scheduled for surgery for radiological finding of pulmonary pure-solid lesions from the preoperative thin-section CT scans;
- The maximum short-axis diameter of lymph nodes less than 3 cm on CT scan;
- Age ranging from 18-75 years;
- definied pathological examination report available;
- Obtained written informed consent.
Exclusion Criteria:
- Multiple lung lesions;
- Poor quality of CT images;
- Participants with incomplete clinical information;
- Participants who have received neoadjuvant therapy before initial CT evaluation.
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 |
|---|---|---|
|
AUC
Time Frame: 2022.01-2023.12
|
Area under the curve of the receiver operating characteristic
|
2022.01-2023.12
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy
Time Frame: 2022.01-2023.12
|
Ratio of the number of correctly classified samples to the total number of samples
|
2022.01-2023.12
|
|
sensitivity
Time Frame: 2022.01-2023.12
|
The probability of detecting a positive test in the population with the gold standard for disease (positive)
|
2022.01-2023.12
|
|
Specificity
Time Frame: 2022.01-2023.12
|
Odds of detecting a negative test in a population judged disease-free (negative) by the gold standard
|
2022.01-2023.12
|
|
PPV
Time Frame: 2022.01-2023.12
|
Positive predictive value
|
2022.01-2023.12
|
|
NPV
Time Frame: 2022.01-2023.12
|
Negative predictive value
|
2022.01-2023.12
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
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
Keywords
Other Study ID Numbers
Other Study ID Numbers
- L21-022
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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