- ICH GCP
- US Clinical Trials Registry
- Klinisk forsøg NCT04553601
Molecular Imaging Visualization of Tumor Heterogeneity in Non-small Cell Lung Cancer
11. september 2020 opdateret af: 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.
Studieoversigt
Status
Ukendt
Intervention / Behandling
Detaljeret beskrivelse
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.
Undersøgelsestype
Interventionel
Tilmelding (Forventet)
150
Fase
- Ikke anvendelig
Kontakter og lokationer
Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.
Studiesteder
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Fujian
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XiaMen, Fujian, Kina, 0086-361000
- Rekruttering
- First Affiliated Hospital of Xiamen University
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Kontakt:
- Long Sun, doctor
- Telefonnummer: 86 0592-2137077
- E-mail: 13178352662@163.com
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-
Deltagelseskriterier
Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.
Berettigelseskriterier
Aldre berettiget til at studere
18 år til 90 år (Voksen, Ældre voksen)
Tager imod sunde frivillige
Ingen
Køn, der er berettiget til at studere
Alle
Beskrivelse
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.
Studieplan
Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Diagnostisk
- Tildeling: N/A
- Interventionel model: Enkelt gruppeopgave
- Maskning: Ingen (Åben etiket)
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
|---|---|
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Eksperimentel: 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
|
Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Radiomic feature selection and model establishment
Tidsramme: 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
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Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Genes mutation detection
Tidsramme: 30 days
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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.
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30 days
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Image acquisition
Tidsramme: 30 days
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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.
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30 days
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Radiomic feature extraction
Tidsramme: 30 days
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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.
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30 days
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Samarbejdspartnere og efterforskere
Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.
Efterforskere
- Ledende efterforsker: Long Sun, PhD, The First Affiliated Hospital of Xiamen University
Datoer for undersøgelser
Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.
Studer store datoer
Studiestart (Faktiske)
1. oktober 2019
Primær færdiggørelse (Forventet)
1. oktober 2022
Studieafslutning (Forventet)
1. oktober 2022
Datoer for studieregistrering
Først indsendt
30. juli 2020
Først indsendt, der opfyldte QC-kriterier
11. september 2020
Først opslået (Faktiske)
17. september 2020
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
17. september 2020
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
11. september 2020
Sidst verificeret
1. juli 2020
Mere information
Begreber relateret til denne undersøgelse
Nøgleord
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- KYH2019-039
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