Lung Nodules
Conditions
Interventions
Index test:The radiomics-based Machine Learning Model
Sponsors
Huai'an First People's Hospital
Eligibility
Sex/Gender
All
Age
18 Years to 75 Years
Inclusion criteria
Inclusion criteria: 1.CT layer thickness <=1.5 mm; 2.Nodule diameter 5-30 mm; 3.Pathology results are clear (benign/malignant); 4.No history of prior lung surgery or radiotherapy;
Exclusion criteria
Exclusion criteria: 1.CT image artifacts affect nodal segmentation; 2.Multiple nodules which difficult to match pathologically; 3.Incomplete clinical information;
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| AUC for predicting malignant pulmonary nodules;Accuracy; | — |
Secondary
| Measure | Time frame |
|---|---|
| The sensitivity, specificity, precision, and recall for the prediction of malignant pulmonary small nodules.; | — |
Countries
China
Contacts
Public ContactGu Biao
Huai'an First People's Hospital
Outcome results
None listed