AI-guided Prognostication and Cranial Radiotherapy Optimization in EGFR-TKI-treated Non-small Cell Lung Cancer Patients With Baseline Brain Metastases

Sponsor
Fudan University
Study ID
NCT06604689
Status
Recruiting
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Conditions

  • Brain Metastasases
  • NSCLC (Advanced Non-small Cell Lung Cancer)

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

Study Details

The goal of this observational study is to extract the imaging features of brain lesions and primary lung lesions in NSCLC patients with brain metastases by deep learning, as well as common clinicopathological parameters, which are used to construct a multimode model that can accurately predict the treatment efficacy and survival of the third-generation EGFR-TKI treatment, and to use the model to assist in screening high-risk populations suitable for upfront cranial radiotherapy. Participants receiving third-generation EGFR-TKI treatment will be enrolled in our study and we will collect their regular contrast-enhanced chest CT and contrast-enhanced brain MRI for model construction.

Key Dates

Start date
Sep 30, 2024
Status verified
Nov 2024
Primary completion
Apr 1, 2025
Completion
Oct 1, 2025

Study Design

Enrollment
800 participants (estimated)

Arms

  • Arm: Construction of AI models (retrospective cohort)
  • Arm: Validation of AI models (prospective cohort)

Primary Outcome Measure

Progression-Free Survival (PFS) [ Time Frame: 1 year ]

Central Contacts

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