Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| First Hospital of China Medical University | OTHER |
| West China Hospital | OTHER |
| Guangdong Second Provincial General Hospital | OTHER |
Not provided
Not provided
Not provided
Not provided
This multicenter retrospective study aims to investigate the value of 18F-FDG PET/CT radiomics features in the preoperative precision staging, pathological typing, gene mutation status prediction, and prognostic risk stratification of patients with Non-Small Cell Lung Cancer (NSCLC). The study involves constructing and validating machine learning models to provide imaging-based evidence for individualized precision clinical decision-making.
The study consists of three main parts based on a multicenter retrospective cohort:
Staging and Typing: Developing radiomics models to distinguish histological subtypes (Adenocarcinoma vs. Squamous Cell Carcinoma) and predict TNM staging preoperatively.
Gene Mutation Prediction: Analyzing radiomics signatures to predict EGFR mutation status (Mutant vs. Wild-type) non-invasively.
Prognostic Assessment: Evaluating the prognostic value of radiomics features by analyzing their association with Disease-Free Survival (DFS) and Overall Survival (OS).
High-throughput radiomics features will be extracted from standardized PET/CT images and analyzed using machine learning algorithms.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NSCLC Cohort | Patients with pathologically confirmed NSCLC who underwent standard preoperative 18F-FDG PET/CT examination. |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic Performance for TNM Staging and Histological Subtyping | Assessed by the Area Under the Receiver Operating Characteristic Curve (AUC), Sensitivity, and Specificity of the radiomics model in predicting T-stage, N-stage, and histological subtypes (ADC vs. SCC). | Baseline |
| Predictive Accuracy for EGFR Mutation Status | Assessed by the AUC, Sensitivity, and Specificity of the radiomics model in discriminating EGFR mutation status (positive vs. negative) compared to genetic testing results. | Baseline |
| Prognostic Value | Evaluation of Disease-Free Survival (DFS) and Overall Survival (OS). DFS is defined as time to recurrence or death. OS is defined as time to death from any cause. | From date of surgery up to 5 years |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Patients with pathologically confirmed Non-Small Cell Lung Cancer (NSCLC) who underwent standard preoperative whole-body 18F-FDG PET/CT examinations at The Second Affiliated Hospital of Zhejiang University School of Medicine and other participating tertiary hospitals.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Xiaohui Zhang | 2nd Affiliated Hospital, School of Medicine, Zhejiang University, China | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Guangdong Second Provincial General Hospital | Guangzhou | Guangdong | 510317 | China | ||
| The First Hospital of China Medical University |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D002289 | Carcinoma, Non-Small-Cell Lung |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
Not provided
Not provided
Not provided
Not provided
Not provided
| Shenyang |
| Liaoning |
| 110001 |
| China |
| West China Hospital of Sichuan University | Chengdu | Sichuan | 610041 | China |
| The Second Affiliated Hospital, Zhejiang University School of Medicine | Hangzhou | Zhejiang | 310009 | China |
| D013899 |
| Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |