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FAP-targeted PET/NIR in Lung Malignant Tumors
Sponsor: Peking University People's Hospital
Summary
Single center, prospective, diagnostic study. Patients with stage II-IIIB resectable NSCLC diagnosed by pathology were included. After receiving standard neoadjuvant therapy (chemotherapy/immunotherapy/combination therapy), FAPI-PET/CT and fluorescence imaging were performed one week before surgery. During the surgery, a near-infrared fluorescence navigation system was used to locate the tumor lesion. After surgery, the tumor bed range was determined by pathological gold standards (HE staining+immunohistochemistry), and the predictive efficacy and localization accuracy of FAPI-PET/fluorescence were compared and analyzed.
Official title: Visualization Study on Tumor Progression Mechanisms and Key Molecular Functions in Neoadjuvant Immunotherapy for Lung Cancer: Preoperative Efficacy Prediction and Intraoperative Fluorescence Navigation
Key Details
Gender
All
Age Range
18 Years - 70 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2025-06-03
Completion Date
2027-12-31
Last Updated
2026-04-01
Healthy Volunteers
No
Interventions
PET/CT scans
PET Dynamic Data: The tracer is administered based on the patient's body weight at approximately 0.06-0.12 mCi/kg. PET scanning is initiated simultaneously with tracer injection, followed by a flush with 10 ml of normal saline. The image acquisition matrix is 192 × 192. Reconstruction is performed using the OSEM algorithm with 4 iterations and 20 subsets, incorporating time-of-flight attenuation correction, scatter correction, and random correction. The total duration of PET dynamic data acquisition is 60 minutes. Processing of PET dynamic scan data: Dynamic PET images are divided into 2-minute intervals to obtain time-activity curves by extracting the radioactivity within regions of interest at different time points, reflecting tracer uptake and enabling calculation of the time to peak. Multi-modality imaging data are analyzed by radiologists with over 10 years of experience in diagnosing respiratory diseases.
Locations (1)
Peking University People's Hospital
Beijing, Beijing Municipality, China