Radiomic Assessment in NSCLC: Correlation Between Multiparametric Imaging Biomarkers and Genetic Biomarkers

Samsung Medical Center500 enrolled

Overview

The purpose of this study is to evaluate relationships between multiparametric imaging biomarkers and genetic analysis in NSCLC patients.

To evaluate relationships between multiparametric imaging biomarkers(CT, PET/CT, MRI) and genetic analysis in NSCLC patients

Study Type

OBSERVATIONAL

Enrollment

500

Conditions

Lung Cancer

Eligibility

Sex: ALLMin age: 20 Years

Medical Language ↔ Plain English

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

Locations (1)

Samsung Medical Center

Seoul, South Korea

Outcomes

Primary Outcomes

Functional and genomic profiling of lung cancer

Prognostic stratification will be evaluated using following parameters: 1. Quantitative and qualitative parameters from CT, PET, MRI 2. Genomic data of lung cancer samples

Time frame: five years

Secondary Outcomes

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.

Time frame: five years

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

Time frame: five years

Data from ClinicalTrials.gov

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