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Multimodal Large Model-Driven Risk and Prognosis Assessment for Brain Metastases in Lung Cancer

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Fudan University

Status

Not yet enrolling

Conditions

NSCLC Brain Metastasis
AI (Artificial Intelligence)

Treatments

Other: No Intervention: Observational Cohort

Study type

Observational

Funder types

Other

Identifiers

NCT07107035
LCBM-AI

Details and patient eligibility

About

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:

  • Can a multimodal large model that fuses imaging, pathology, genomic, and clinical data accurately identify NSCLC patients at high risk of developing brain metastases?
  • Can a multimodal large model reliably forecast intracranial progression-free survival, progression-free survival, and overall survival across diverse real-world treatment settings? (ie, patients receiving distinct treatment regimens, in different treatment lines and with or without intracranial local therapies).

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:

  • Allow use of their routinely collected clinical information, imaging (chest CT, brain MRI), pathology slides, and molecular test results for model training and validation
  • Undergo standard-of-care follow-ups
  • Complete optional quality-of-life questionnaires during scheduled visits

Enrollment

20,000 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age≥18 years old;
  • KPS score≥70;
  • Pathologically confirmed lung cancer;
  • Receiving guideline-concordant standard-of-care therapy, defined as: radical surgical resection for early- to mid-stage non-small cell lung cancer (NSCLC); stereotactic radiotherapy for early-stage NSCLC deemed medically inoperable; radical chemoradiotherapy for locally advanced NSCLC; or systemic therapy for advanced-stage NSCLC.
  • Complete systemic imaging before treatment initiation, including contrast-enhanced brain MRI and contrast-enhanced chest CT;
  • Informed consent of the patient.

Exclusion criteria

  • Multiple primary or metastatic tumors (except early skin cancer, cervical carcinoma in situ that has been treated radically, with no recurrence or progression for more than 5 years);
  • Uncontrolled epilepsy, central nervous system disease, or history of mental disorders, judged by the researcher to potentially interfere with the signing of the informed consent form or affect patient compliance;
  • Physical examination findings, clinical laboratory abnormalities, or other uncontrolled medical conditions identified by the investigator as potentially interfering with study results interpretation or increasing the patient's risk of treatment complications
  • Pregnant or lactating women.

Trial design

20,000 participants in 2 patient groups

Construction of AI models (retrospective cohort)
Treatment:
Other: No Intervention: Observational Cohort
Validation of AI models (prospective cohort)
Treatment:
Other: No Intervention: Observational Cohort

Trial contacts and locations

0

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Central trial contact

Zhengfei Zhu, PhD

Data sourced from clinicaltrials.gov

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