Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer

Recruiting Observational Study
NSCLC (Non-small Cell Lung Cancer) Artificial Intelligence (AI) Lymphnode Metastasis
No Placebo Group Every participant receives an active treatment — no one gets a placebo. No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
18 and older
Sex
Any
Study type
Observational
Participants needed
6,000 (estimated)
Sponsor
Fudan University · Other
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About This Trial
This nationwide, multicenter observational study aims to develop and validate a multimodal artificial intelligence (AI) model for detecting occult lymph node metastasis in early-stage non-small cell lung cancer (NSCLC) patients. Despite advances in lymph node staging, 12.9%-39.3% of occult nodal metastasis cases remain undetected preoperatively, affecting treatment decisions. This study will use d…
Trial Locations
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Eligibility Criteria
Inclusion Criteria: * Pathologically confirmed non-small cell lung cancer; * Clinical stage I (AJCC, 8th edition, 2017); * Age≥18 years old; * KPS score≥70; * Patients who have undergone primary NSCLC radical surgery or SBRT treatment; * Complete systemic lesion imaging assessment before primary NS…
Contacts

Zhengfei Zhu, PhD

+86-18017312901

fuscczzf@163.com

CONTACT