Value of F-18 FDG PET/CT for the Prediction of EGFR Mutation in Lung Cancer Patients
- Conditions
- Lung Cancer
- Registration Number
- NCT06520189
- Lead Sponsor
- Assiut University
- Brief Summary
To detect value of F-18FDG PET/CT as a non-invasive method for the prediction of EGFR mutations in lung cancer patients.
- Detailed Description
* Globally, lung cancer cases and deaths are rising. In 2018, GLOBOCAN estimated 2.09 million new cases (11.6% of total cancer cases) and 1.76 million deaths (18.4% of total cancer deaths). It is the most frequent cancer and cause of cancer death in men.
* Epidermal growth factor receptor (EGFR) mutations are the second most common oncogenic driver event in non-small cell lung cancer (NSCLC) and classical activating mutations are well defined as strong predictors for good clinical response to EGFR tyrosine kinase inhibitors (EGFRi).
* Over the last decade, the introduction of tyrosine-kinase inhibitors (TKIs) has showed a remarkable paradigm shift in the treatment of non-small cell lung cancer (NSCLC). However, genetic testing is sometimes unavailable.
* Data from previous studies that have investigated the value of F-18 FDG PET/CT for predicting EGFR status are conflicting.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 60
- NSCLC patients who underwent EGFR mutation testing.
- All patients ≥ 18 years.
- Time interval between EGFR sampling and PET/CT more than 1 month.
- Patients had been treated before sampling for the gene alteration analysis
- Patients with glucose level < 200 mg/dl.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method • Assessment of semi-quantitative F-18 FDG PET/CT as a non-invasive method for prediction of EGFR mutations in lung cancer patients. baseline detection value of F-18 FDG PET/CT for the prediction of EGFR mutation in lung cancer patients.
- Secondary Outcome Measures
Name Time Method • Assessment of the relationship between degree of the tracer uptake and pathology of the lesion. baseline correlate between degree of the tracer uptake and pathology of the lesion