Status:
UNKNOWN
Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer
Lead Sponsor:
Shanghai Pulmonary Hospital, Shanghai, China
Collaborating Sponsors:
Ningbo No.2 Hospital
Zunyi Medical College
Conditions:
Non-small Cell Lung Cancer
Eligibility:
All Genders
20-75 years
Brief Summary
The purpose of this study is to evaluate the performance of a PET/CT-based deep learning signature for predicting occult nodal metastasis of clinical stage N0 non-small cell lung cancer in a multicent...
Eligibility Criteria
Inclusion
- (1) Participants scheduled for surgery for radiological finding of pulmonary lesions from the preoperative thin-section CT scans; (2) The maximum short-axis diameter of N1 and N2 lymph nodes less than 1 cm on CT scan; (3) The SUVmax of N1 and N2 lymph nodes less than 2.5; (4) Pathological confirmation of primary NSCLC; (5) Age ranging from 20-75 years; (6) Obtained written informed consent.
Exclusion
- (1) Multiple lung lesions; (2) Poor quality of PET-CT images; (3) Participants with incomplete clinical information; (4) Participants not receiving systematic lymph node dissection; (5) Participants who have received neoadjuvant therapy.
Key Trial Info
Start Date :
January 1 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2023
Estimated Enrollment :
5000 Patients enrolled
Trial Details
Trial ID
NCT05425134
Start Date
January 1 2022
End Date
December 31 2023
Last Update
February 9 2023
Active Locations (4)
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1
Affiliated Hospital of Zunyi Medical University
Zunyi, Guizhou, China
2
The First Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China
3
Shanghai Pulmonary Hospital
Yangpu, Shanghai Municipality, China
4
Ningbo HwaMei Hospital
Ningbo, Zhejiang, China