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This observational study aims to construct and validate the performance of a multimodal predictive model in forecasting the outcomes of neoadjuvant therapy in patients with NSCLC.
The core research question is: Can a multi-model approach predict outcomes of neoadjuvant therapy for non-small cell lung cancer and provide clinical recommendations?
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NSCLC with neoadjuvant therapy but without surgery | |||
| NSCLC with neoadjuvant therapy and surgery |
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| Measure | Description | Time Frame |
|---|---|---|
| pathologic response | Perioperative |
| Measure | Description | Time Frame |
|---|---|---|
| EFS | event free survival | One year after the treatment ended |
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Inclusion Criteria:
Exclusion Criteria:
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NSCLC patients suitable for neoadjuvant therapy
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Minghao Hu | Contact | 8613396366466 | huminghao2010@126.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tongji hospital | Recruiting | Wuhan | Hubei | 430030 | China |
Due to patient and hospital ethical requirements, this project does not currently meet the criteria for Individual Patient Data (IPD).
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Preoperative pathological biopsy puncture specimens
| Sir Run Run Shaw Hospital | Recruiting | Hangzhou | Zhejiang | 430030 | China |
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