AI-guided Prognostication and Cranial Radiotherapy Optimization in EGFR-TKI-treated Non-small Cell Lung Cancer Patients With Baseline Brain Metastases
NCT06604689 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 800
Last updated 2024-11-12
Summary
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.
Conditions
- NSCLC (Advanced Non-small Cell Lung Cancer)
- Brain Metastasases
Interventions
- DRUG
-
third-generation EGFR TKIs (Almonertinib/Furmonertinib/Osimertinib)
EGFR-mutated NSCLC patients with brain metastases who met the inclusion and exclusion criteria, would receive first-line third-generation EGFR-TKI treatment (monotherapy or combined with upfront cranial radiotherapy)
Sponsors & Collaborators
-
Fudan University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-09-30
- Primary Completion
- 2025-04-01
- Completion
- 2025-10-01
Countries
- China
Study Locations
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