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The goal of this nationwide, multicenter observational study is to develop and externally validate multimodal large models that can (1) predict the risk of brain metastases and (2) estimate long-term prognosis in patients with non-small cell lung cancer (NSCLC).
The main questions it aims to answer are:
Because this is an observational study, there are no investigational treatments; instead, researchers will compare outcomes among patients who receive standard-of-care therapies (surgery, radiotherapy, systemic therapy) to determine how well the model's predictions align with observed events.
Participants will:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Construction of AI models (retrospective cohort) |
| ||
| Validation of AI models (prospective cohort) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No Intervention: Observational Cohort | Other | No intervention |
|
| Measure | Description | Time Frame |
|---|---|---|
| The predictive performance of the multimodal large models | Including Sensitivity (SEN), Specificity (SPE), Matthews Correlation Coefficient (MCC), Area Under the Receiver Operating Characteristic Curve (AUC) with its corresponding 95 % confidence interval (CI) | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Progression-Free Survival (PFS) | 2 years | |
| Intracranial Progression-Free Survival (iPFS) | 2 years | |
| Overall Survival (OS) |
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Inclusion Criteria:
Exclusion Criteria:
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Patients are collected all over China
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Zhengfei Zhu, PhD | Contact | +8618017312901 | fuscczzf@163.com |
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| 2 years |