lung cancer
Conditions
Interventions
image 
acquisition, 
of 
interest 
segmentation, 
and 
establishment 
machine 
learning 
classifier 
model 
Sponsors
The First Affiliated Hospital, College of Medicine, Zhejiang University
Eligibility
Sex/Gender
All
Age
18 Years to 90 Years
Inclusion criteria
Inclusion criteria: 1. First 18F-FDG PET/CT examination, without any anti-tumor treatment; 2. Complete clinical data, including name, gender, medical history, laboratory examination and TNM staging; 3. Histological or cytological diagnosis of primary non-small cell lung cancer; 4. Within 1 month after PET/CT examination, surgical specimens or tissue biopsy samples for gene testing and complete gene test report.
Exclusion criteria
Exclusion criteria: 1. Image artifact; PET/CT image acquisition did not follow standard procedures; Poor image quality; 2. Tumor margins are difficult to delineate; 3. With other malignant tumors.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| SEN, SPE, ACC, AUC of ROC; | — |
Countries
China
Contacts
Public ContactDong Mengjie
The First Affiliated Hospital, College of Medicine, Zhejiang University
Outcome results
None listed