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 multicenter prospective cohort.
Study Type
OBSERVATIONAL
Enrollment
5,000
Deep Learning Signature Based on PET-CT for Predicting Occult Nodal Metastasis of Clinical N0 Non-small Cell Lung Cancer
Affiliated Hospital of Zunyi Medical University
Zunyi, Guizhou, China
RECRUITINGThe First Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China
RECRUITINGShanghai Pulmonary Hospital
Yangpu, Shanghai Municipality, China
RECRUITINGArea under the receiver operating characteristic curve
Area under the receiver operating characteristic curve
Time frame: 2022.1-2023.12
Sensitivity Sensitivity
Sensitivity
Time frame: 2022.1-2023.12
Specificity
Specificity
Time frame: 2022.1-2023.12
Positive predictive value
Positive predictive value
Time frame: 2022.1-2023.12
Negative predictive value
Negative predictive value
Time frame: 2022.1-2023.12
Accuracy
Accuracy
Time frame: 2022.1-2023.12
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Ningbo HwaMei Hospital
Ningbo, Zhejiang, China
RECRUITING