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The purpose of this study is to evaluate the use of Dynamic PET/CT as a tool to assess disease response to anti-cancer therapy in Lung Cancer patients.
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Background:
Lung cancer is a devastating disease in which the response for first line therapy is only 30%. Evaluating response is performed normally by a CT or PET-CT scans after 2-3 cycles of therapy, thus, lack of response is been evaluated only after the patient has been treated following significant amount of therapy, which is inefficient in 70% of cases.
Therefore, there is an urgent need to develop tools that might predict response to therapy during the early course of therapy; Most valuable will be before or after the first cycle of therapy. For that reason, the investigators aim in this study to evaluate the use of Dynamic PET-CT as a tool to assess disease response to anti-cancer therapy in Lung Cancer patients.
Objectives:
Method:
200 advanced lung cancer patients will be enrolled over 3 years in a single institute, single arm study at Rabin Medical Center, Beilinson Hospital.
Patients will be evaluated by a Dynamic PET-CT protocol: before initiation of therapy, 7-14 days after the first therapy cycle, 3 months after initiation of therapy and 6 months after the first therapy cycle. In addition, non-invasive biomarkers that are routinely measured including protein markers (CEA- Carcinoembryonic Antigen, CYFRA21- Cytokeratin 19 Fragment, NSE- Neuron Specific Enolase) will be assessed in this trial.
Disease response will be evaluated by Response Evaluation Criteria In Solid Tumors (RECIST criteria).
Additional PET-CT will not increase radiation dose significantly. The mean estimated radiation dose for a limited CT of the chest is about 14 mSv (i.e., 7mSv for limited diagnostic CT and FDG ([18F]-fluorodeoxyglucose), each). The dynamic stage will add radiation dose of about 0.3mSv. Of note, the significance of adding radiation dose is less of importance with regard to treatment of patients with aggressive cancer.
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200 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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