Lung Cancer Clinical Trial
Official title:
Radiomic Assessment in NSCLC: Correlation Between Multiparametric Imaging Biomarkers and Genetic Biomarkers
Verified date | May 2022 |
Source | Samsung Medical Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The purpose of this study is to evaluate relationships between multiparametric imaging biomarkers and genetic analysis in NSCLC patients.
Status | Enrolling by invitation |
Enrollment | 500 |
Est. completion date | December 2025 |
Est. primary completion date | December 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 20 Years and older |
Eligibility | Inclusion Criteria: - Suspected lung cancer on chest CT or histologically proven NSCLC - Participant is being considered for the conventional/neoadjuvant/targeted chemotherapy or surgery - At least one measurable primary or other intrathoracic lesion >= 2cm, according to RECIST - Performance status of 0 to 2 on the ECOG scale - Age 20 years or older - Able to tolerable PET/CT and CT imaging required by protocol - Able to undergo percutaneous needle biopsy before and after chemotherapy - Able to give study-specific informed consent Exclusion Criteria: - Poorly controlled diabetes - Contraindication for CT contrast agent |
Country | Name | City | State |
---|---|---|---|
Korea, Republic of | Samsung Medical Center | Seoul |
Lead Sponsor | Collaborator |
---|---|
Samsung Medical Center |
Korea, Republic of,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Functional and genomic profiling of lung cancer | Prognostic stratification will be evaluated using following parameters:
Quantitative and qualitative parameters from CT, PET, MRI Genomic data of lung cancer samples |
five years | |
Secondary | Relationship between genomic and multiparametric imaging profiling | We will evaluate if certain relationship exists between changes in multiparametric imaging markers from CT, PET, MRI and genomic informations of NSCLC. | five years | |
Secondary | Precise prediction of pulmonary function such as ventilation and perfusion after the lung resection. | following parameters exracted from whole lung will be evaluated: Quantitative parameters related to pulmonary function from CT, PET, MRI 2. Prediction of longitudinal changes of pulmonary function after the lung resection | five years |
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