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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT01585545

Enrollment

500

Registered

2012-04-26

Start date

2013-10-31

Completion date

2025-12-31

Last updated

2022-05-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer

Keywords

CT, PET CT, MRI, cancer genomics, Radiomics, Radiogenomics

Brief summary

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

Detailed description

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

Interventions

None listed

Study design

Observational model

CASE_ONLY

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

20 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
Functional and genomic profiling of lung cancer	five years	Prognostic stratification will be evaluated using following parameters: 1. Quantitative and qualitative parameters from CT, PET, MRI 2. Genomic data of lung cancer samples

Secondary

Measure	Time frame	Description
Relationship between genomic and multiparametric imaging profiling	five years	We will evaluate if certain relationship exists between changes in multiparametric imaging markers from CT, PET, MRI and genomic informations of NSCLC.
Precise prediction of pulmonary function such as ventilation and perfusion after the lung resection.	five years	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

Countries

South Korea

Outcome results