Lung Cancer Clinical Trial
Official title:
PET/CTbased Radiomics for Lung Cancer (PERL): a Retrospective Multi-center Study
The investigators investigate the utility of FDG PET/CT based radiomics in lung cancer, including diagnosis and prognosis.
Recent studies have shown that, in addition to inter-tumor heterogeneity, tumors often
display startling intratumoral heterogeneity in various features including histology, gene
expression, genotype, and metastatic and proliferative potential, which is often associated
with adverse tumor biology. Unfortunately, it is difficult to assess intratumoral
heterogeneity with random sampling or biopsy as this does not represent the full extent of
phenotypic or genetic variation within a tumor. Given the limitations of current biopsy
strategies, there is an important potential for medical imaging, which has the ability to
capture intratumoral heterogeneity in a non-invasive way.
Borrowed from the concept in genomics and/or proteomics, radiomics was specifically proposed
for medical or radiological images. It is a promising technique for improving diagnosis,
staging, prognosis, treatment response prediction and potentially allowing personalization of
cancer treatment. It is a process of extraction and analysis of high-dimensional image
features from radiological images obtained with CT, MR or PET, which could be either
qualitative or quantitative. The basic assumption of radiomics is that tumor biology could be
captured by radiomic features .
The purpose of this study is to investigate the utility of FDG PET/CT based radiomics in lung
cancer. Four PET/CT centers will be involved in this study, in which more than 1000 patients
diagnosed as lung cancer will be retrospectively enrolled.
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