- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04553601
Molecular Imaging Visualization of Tumor Heterogeneity in Non-small Cell Lung Cancer
September 11, 2020 updated by: The First Affiliated Hospital of Xiamen University
To assess the potential usefulness of radiogenomics for tumor driving genes heterogeneity in non-small cell lung cancer.
Study Overview
Status
Unknown
Intervention / Treatment
Detailed Description
Patients with advanced NSCLC underwent 18F-FDG PET/CT and PET/CT-guided synchronous targeted biopsy of primary and distant metastatic tumors.
The LIFEx package was used to extract PET and CT radiomic features from primary and metastatic lesions.
The radiomic ROI sites of primary and distant metastatic tumors were point-to-point corresponding to the PET/ CT-guided targeted biopsy sites.
Whole exon sequencing of primary and distant metastatic tumor samples obtained by PET/CT-guided targeted biopsy was used to get genomic data of primary and distant metastatic tumor.
Predictive radiogenomics models were established and validation.
Study Type
Interventional
Enrollment (Anticipated)
150
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Fujian
-
XiaMen, Fujian, China, 0086-361000
- Recruiting
- First Affiliated Hospital of Xiamen University
-
Contact:
- Long Sun, doctor
- Phone Number: 86 0592-2137077
- Email: 13178352662@163.com
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 90 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Criteria: Inclusion Criteria:
- (i) adult patients (aged 18 years or order);
- (ii) patients with suspected or newly diagnosed or previously treated malignant tumors (supporting evidence may include magnetic resonance imaging (MRI), CT, tumor markers and pathology report);
- (iii) patients who had scheduled both 18F-FDG PET/CT scans and PET/CT guided biopsy;
- (iv) patients who were able to provide informed consent (signed by participant, parent or legal representative) and assent according to the guidelines of the Clinical Research Ethics Committee.
Exclusion Criteria:
- (i) patients with non-malignant lesions;
- (ii) patients with pregnancy;
- (iii) the inability or unwillingness of the research participant, parent or legal representative to provide written informed consent.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: 8F-FDG PET/CT and PET/CT-guide targeted biopsy
Each subject receive a single intravenous injection of 18F-FDG PET/CT and PET/CT-guide targeted biopsy within the specified time.
|
Each subject receive a single intravenous injection of 18F-FDG PET/CT and PET/CT-guide targeted biopsy within the specified time
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Radiomic feature selection and model establishment
Time Frame: 3 years
|
In this study, the investigators first selected the features with significant differences between genes mutant and wild type in the training set using the Mann-Whitney U test, obtaining a total of 53 features with p value < 0.05.
Then, the least absolute shrinkage and selection operator (LASSO) algorithm was used to select the optimal predictive features among the 53 selected in the training set.
The LASSO algorithm adds a L1 regularization term to a least square algorithm to avoid overfitting.
A prediction model was established by logistic regression, and the radiomics signature score (rad-score) for each participant was calculated based on the selected discriminating radiomic features.
The model performance was tested in the validation set.
The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to evaluate the model performance in the training and validation sets.
|
3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Genes mutation detection
Time Frame: 30 days
|
Genes mutation detection was performed on histological specimens obtained by surgical resection or puncture.
Genes mutation detection was conducted by the examination of the whole-exome sequencing.
The whole-exome sequencing is performed by the Novogene company (www.novogene.com).
If any genes mutation in the whole-exome sequencing was detected, the tumor was considered genes mutant.
Otherwise, the tumor was classified as no mutant of genes type.
|
30 days
|
|
Image acquisition
Time Frame: 30 days
|
The imaging acquisition protocol was established following the Image Biomarker Standardisation Initiative (IBSI) reporting guidelines.
All the details of the procedures are provided in the electronic supplementary material.
18F-FDG PET/CT (Discovery MI, GE Healthcare, Milwaukee, WI, USA) examination was performed within 1 month before treatment.
Briefly, 18F-FDG PET/CT images were acquired 60 ± 5 min after 18F-FDG injection in accordance with the European Association of Nuclear Medicine (EANM) guidelines, version 1.0 (version 2.0 from February 2015).
A 3D LOR reconstruction algorithm was used to reconstruct the PET images.
The attenuation correction of PET images was carried out with CT data, and the corrected PET images were fused with CT images.
|
30 days
|
|
Radiomic feature extraction
Time Frame: 30 days
|
The LIFEx package (version 4.00, http://www.lifexsoft.org) was used to extract the texture features of PET/CT images of lesions in the same VOI.
The PET/CT image of the patient in the DICOM format was imported into the software.
Two experienced PET/CT diagnostic physicians semi-automatically delineated the region of interest of the target lesion using a threshold of 40% of the maximum standardized uptake value (SUVmax).
Then, the software program automatically calculates and extracts 47 PET radiomic features and 45 CT radiomic features.
|
30 days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Long Sun, PhD, The first affiliated hospital of xiamen university
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
October 1, 2019
Primary Completion (Anticipated)
October 1, 2022
Study Completion (Anticipated)
October 1, 2022
Study Registration Dates
First Submitted
July 30, 2020
First Submitted That Met QC Criteria
September 11, 2020
First Posted (Actual)
September 17, 2020
Study Record Updates
Last Update Posted (Actual)
September 17, 2020
Last Update Submitted That Met QC Criteria
September 11, 2020
Last Verified
July 1, 2020
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- KYH2019-039
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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