Lung cancer
Conditions
Interventions
Training cohort:Based on radiomics features combined with clinical characteristics, a deep learning prediction model was constructed to predict the successful culture of PTC from preoperative CT-based
External validation cohort:PTC culture and personalized drug screening
Sponsors
Beijing Hospital
Eligibility
Sex/Gender
All
Age
18 Years to 85 Years
Inclusion criteria
Inclusion criteria: 1. Patients with primary lung cancer who underwent CT-guided PTNB and their specimens were used for PTC culture and personalized drug screening; 2. Age of 18-85 years old, and diagnosed as primary lung cancer (including NSCLC and SCLC) via bronchoscopy or PTNB; 3. Tumor stage of I A – IV B, according to AJCC (ninth version); 4. ECOG PS of 0-3.
Exclusion criteria
Exclusion criteria: 1. Estimated survival is less than three months (applicable to the prospective section); 2. The lesion that underwent PTNB has previously received local treatments, such as radiotherapy, ablation, and radioactive seeds implantation.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Successful culture of PTC;The consistency rate of PTC culture between the deep learning prediction model in determining the success or failure and the actual PTC cultivation results; | — |
Secondary
| Measure | Time frame |
|---|---|
| Accuracy of internal validation for deep learning prediction model;Adverse events;Establishment period; | — |
Countries
China
Contacts
Public ContactXu Sheng
Beijing Hospital
Outcome results
None listed