RecruitingNCT07388771

Prediction of Outcome to Neoadjuvant Therapy in Non-small Cell Lung Cancer(NSCLC)

A Study on Multimodal Data Prediction of Outcome to Neoadjuvant Therapy in NSCLC


Sponsor

Qian Chu

Enrollment

500 participants

Start Date

Dec 1, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

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?


Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is using medical imaging and tissue analysis to predict how well non-small cell lung cancer (NSCLC) patients will respond to neoadjuvant therapy — treatment given before surgery to shrink the tumor. The goal is to find biomarkers that can identify which patients are most likely to benefit from pre-surgical treatment. **You may be eligible if...** - You have been diagnosed with non-small cell lung cancer confirmed by pathology - Your treatment plan includes neoadjuvant chemo-immunotherapy followed by surgical removal of the tumor **You may NOT be eligible if...** - Your lung cancer has returned after previous treatment (recurrent) or has spread to other organs (metastatic) - You have another primary cancer in addition to lung cancer Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Locations(2)

Tongji hospital

Wuhan, Hubei, China

Sir Run Run Shaw Hospital

Hangzhou, Zhejiang, China

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NCT07388771


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