Application of FDG Combined With FAPI PET Dual Imaging in the Diagnosis and Staging of Oropharyngeal and Laryngeal Cancer

Overview

According to statistics, in 2020, new head and neck malignancies in the world accounted for 4.9% (931931 cases) of malignant tumors in the whole body, and the new death cases were 467125, accounting for 4.7% of malignant tumors in the whole body. The high incidence rate and mortality brought great burden to the medical system. In addition, due to various types of head and neck cancer, hidden location, impact on function and quality of life, and low overall survival rate, this type of disease has seriously threatened human health and social development. The incidence of oropharyngeal cancer and laryngeal cancer is more subtle. Traditional examination methods include CT(computer tomography), MR(magnetic resonance), and laryngoscopy, but they cannot make accurate judgments on the systemic TNM(primary tumor, regional nodes, metastasis) staging of oropharyngeal cancer and laryngeal cancer. 18F-FDG(18F-2-fluoro-2-deoxy-D-glucose fluorodeoxyglucose) PET/CT examination can better diagnose and stage compared to traditional examination methods. However, due to the interference of more inflammatory lesions or physiological uptake in the pharynx, the false positive rate of 18F-FDG PET/CT examination is significantly increased, 18F-FAPI(18F-fibroblast activation protein inhibitors) is a novel broad-spectrum tumor imaging agent that can be specifically uptake by fibroblasts in the tumor microenvironment, and has lower physiological uptake and acute inflammatory lesion uptake in the larynx. 18F-FAPI PET/CT examination can more accurately stage tumors throughout the body than 18F-FDG PET/CT examination. Combined with PET/MR local scanning, it will further improve the accuracy of T and N staging of local tumors. Therefore, It is of great significance for clinical diagnosis and treatment to effectively and reliably determine the systemic TNM staging of oropharyngeal and laryngeal cancer through non-invasive methods.

This study is a prospective, single study and has been approved by the ethics committee. The subjects of this studywere from January 1,2024 to January 1,2026.The detailed description is as follows: 1. Patients: The subjects we selected are adults who are not restricted by gender. For details, please refer to the "Eligibility Criteria" column. 2. Clinical data collection: Record the course of disease, CT examination, MR examination, laryngoscopy examination, PET/CT examination, PET/MR examination, and other information of all patients. 3. CT or MRI image analysis: Record the location and number of lesions, measure the long diameter of the primary and metastatic lesions, and the short diameter of lymph nodes on CT or MRI images. 4. PET image analysis: Record and evaluate the following indicators: the maximum, mean and peak standardized uptakevalue (SUVmax, SUVmean and SUVpeak), Metabolic lesion volume (MLV), total lesion glycolysis (TLG). 5. Statistical analysis: Use descriptive statistical methods to compare the age of patients and the standardized uptake values of FDG and FAPI. Normal distribution data is represented as mean ± standard deviation, while non normal distribution data is represented as median with IQR. Compare the normal distribution data between two groups using paired two sample t-test, and compare the non normal distribution data between two groups using McNemar test. Using a four grid table McNemar χ Compare the diagnostic efficacy of 18F-FDG PET and 18F-FAPI PET through 2 tests, calculate and compare the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 18F-FDG and 18F-FAPI PET. Due to the potential impact of tumor type on diagnosis, subgroup analysis was conducted on the diagnostic efficacy of 18F-FDG PET and 18F-FAPI PET. Due to the possibility of multiple metastatic lesions in a given participant, the diagnostic results may be correlated within the participant. Therefore, sensitivity analysis of metastatic lesions is also performed based on a generalized linear mixed effects model by combining this correlation between different lesions within the same participant. Double tailed P\<0.05 indicates a statistically significant difference.