Molecular Imaging Visualization of Tumor Heterogeneity in Non-small Cell Lung Cancer
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Fujian
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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
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
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
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / 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.
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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
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.
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3 years
|
Secondary Outcome Measures
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
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Long Sun, PhD, The First Affiliated Hospital of Xiamen University
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- KYH2019-039
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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