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Trial Title:
Deep Learning Model for Pure Solid Nodules Classification
NCT ID:
NCT05542992
Condition:
Lung Cancer
Conditions: Keywords:
deep learning model
pure-solid nodules
PET-CT
Study type:
Observational
Overall status:
Unknown status
Study design:
Time perspective:
Prospective
Intervention:
Intervention type:
Diagnostic Test
Intervention name:
CT-based deep learning model
Description:
CT-based deep learning model for pure-solid nodules classifications
Summary:
The purpose of this study is to compare the predictive performance of a CT-based deep
learning model for pure-solid nodules classification and compared with the tumor maximum
standardized uptake value on PET in a multicenter prospective cohort.
Criteria for eligibility:
Study pop:
Patients with pulmonary radiological pure-solid nodules with size less than 3cm
Sampling method:
Non-Probability Sample
Criteria:
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.
Gender:
All
Minimum age:
18 Years
Maximum age:
75 Years
Healthy volunteers:
No
Locations:
Facility:
Name:
Shanghai Pulmonary Hospital
Address:
City:
Yangpu
Country:
China
Status:
Recruiting
Contact:
Last name:
Chang Chen, MD, PhD
Phone:
+86-021-65115006
Phone ext:
2074
Email:
chenthoracic@163.com
Facility:
Name:
Lanzhou
Address:
City:
China, Gansu
Country:
China
Status:
Recruiting
Contact:
Last name:
Minjie Ma, Dr
Phone:
021-65115006
Email:
721405952@qq.com
Facility:
Name:
Zunyi
Address:
City:
China, Guizhou
Country:
China
Status:
Recruiting
Contact:
Last name:
Yongxiang Song, Dr
Phone:
021-65115006
Email:
zhaosurgery@163.com
Facility:
Name:
Nanchang
Address:
City:
China, Jiangxi
Country:
China
Status:
Recruiting
Contact:
Last name:
Bentong Yu, Dr
Phone:
021-65115006
Email:
1151697503@qq.com
Facility:
Name:
Ningbo
Address:
City:
China, Zhejiang
Country:
China
Status:
Recruiting
Contact:
Last name:
Minglei Yang, Dr
Phone:
021-65115006
Email:
almondjj@163.com
Start date:
January 1, 2022
Completion date:
December 31, 2023
Lead sponsor:
Agency:
Chang Chen
Agency class:
Other
Collaborator:
Agency:
Ningbo No.2 Hospital
Agency class:
Other
Collaborator:
Agency:
Zunyi Medical College
Agency class:
Other
Collaborator:
Agency:
The First Affiliated Hospital of Nanchang University
Agency class:
Other
Collaborator:
Agency:
The First Hospital of Lanzhou University, Gansu, China
Agency class:
Other
Source:
Shanghai Pulmonary Hospital, Shanghai, China
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT05542992
