lung cancer
Conditions
Interventions
Gold Standard:All cases were confirmed by histopathology.
Index test:Distinguish between lung adenocarcinoma and tuberculoma using deep learning methods. Meanwhile, in order to compare the performance of deep learning model, an radiomics model was constructe
Sponsors
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
Eligibility
Sex/Gender
All
Age
18 Years to 90 Years
Inclusion criteria
Inclusion criteria: (a) All cases were confirmed by histopathology; (b) All cases presented as isolated pulmonary nodules or masses on CT; (c) Having complete clinical information; (d) At least 18 years old; (e) The interval between surgery and CT scan is less than one month.
Exclusion criteria
Exclusion criteria: (a) Relevant treatment received before CT scan; (b) Serious image artifacts present; (c) Significant calcification of the lesion; (d) Lesion diameter greater than 8cm.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score. ; | — |
Secondary
| Measure | Time frame |
|---|---|
| CT images; | — |
Countries
China
Contacts
Public ContactGuojin Zhang
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
Outcome results
None listed