Clinical trial NCT03517306: PET/CT Based Radiomics for Lung Cancer (PERL)
Official title: PET/CTbased Radiomics for Lung Cancer (PERL): a Retrospective Multi-center Study
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Lung Cancer
Keywords: lung cancer, FDG, PET/CT, radiomics
Lead sponsor: Second Affiliated Hospital of Wenzhou Medical University
Sponsor class: OTHER
Collaborators: name: Beijing Chao Yang Hospital
name: General Hospital of Ningxia Medical University
name: Soochow University
name: First Affiliated Hospital of Wenzhou Medical University
First posted: 2018-05-07
Enrollment: 1500
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: All patients diagnosed as lung cancer patients who had a FDG PET/CT scan before treatment between 1 Jan, 2013 and 30 December, 2016 in the four collaborative hospitals.

Brief summary: The investigators investigate the utility of FDG PET/CT based radiomics in lung cancer, including diagnosis and prognosis.

Detailed description: 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.

Eligibility criteria: Inclusion Criteria:

- All patients diagnosed as lung cancer patients who had a FDG PET/CT scan before treatment between 1 Jan, 2013 and 30 December, 2016 in the four collaborative hospitals.

Exclusion Criteria:

- The patient without follow-up information

Primary outcomes:
measure: Creation of a FDG PET/CT based radiomic score for survival
timeFrame: Time Frame: 3 years
Secondary outcomes:
measure: Validation of a FDG PET/CT based radiomic score for survival
timeFrame: Time Frame: 3 years
Other outcomes:
Locations:
city: Wenzhou
country: China
facility: Second Affiliated Hospital of Wenzhou Medical University
state: Zhejiang
Study officials:
References: