Prediction of Targeted Therapy Efficacy in EGFR-mutant Lung Cancer Patients Using AI-based Multimodal Data
NCT07287904 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000
Last updated 2025-12-17
Summary
The main purpose of this study is to explore the value of multimodal imaging information and models in predicting the prognosis of EGFR-positive non-small cell lung cancer patients undergoing targeted therapy, providing a basis for selecting suitable populations for precise tumor treatment and corresponding therapy. We retrospectively analyzed patient case data, extracted preoperative CT images, H\&E-stained whole-slide digital pathology images, and pre- or postoperative genetic testing reports to extract radiomic features of tumor and peritumoral regions. These features were combined with multidimensional pathological features and gene expression distribution characteristics to construct a multimodal radiopathogenomic model, offering more precise prognostic evaluation for lung cancer patients receiving targeted therapy.
Conditions
- Lung Cancer (NSCLC)
- EGFR Activating Mutation
- Adenocarcinoma Lung
- Postoperative Adjuvant Therapy
Interventions
- DIAGNOSTIC_TEST
-
Comprehensive analysis through laboratory tests, imaging techniques, and clinical data
Extract radiomics features of the tumor and peritumoral regions from preoperative CT images, H\&E-stained digital pathology whole-slide images, and genetic test reports, and integrate them with multidimensional pathological features and gene expression distribution characteristics to construct a radiopathogenomic multi-omics modality, providing more precise prognostic assessment for targeted therapy in lung cancer patients.
Sponsors & Collaborators
-
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
lead OTHER
Principal Investigators
-
Xiaorong Dong, Dr · Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-12-25
- Primary Completion
- 2027-07-31
- Completion
- 2027-08-31
Countries
- China
Study Locations
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