- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06220305
DNA Methylation Combined With Artificial Intelligence Imaging to Identify Lung Nodules (MAGIC)
January 14, 2024 updated by: The First Affiliated Hospital with Nanjing Medical University
DNA Methylation Combined With Artificial Intelligence Imaging for Early Benign and Malignant Differentiation of Lung Nodules:an Observational,Single-center Clinical Trial(MAGIC Study)
Lung cancer is the leading cause of cancer deaths,and the key to reducing mortality in lung cancer patients is early diagnosis and treatment.Currently,peripheral blood DNA methylation is a novel in vitro molecular marker for tumors.Meanwhile artificial intelligence diagnostic system can further improve the diagnostic ability.The purpose of this study is to apply the overall DNA methylation level (i.e.,methylation profile) and the altered methylation degree of specific genes as tumor diagnostic indexes,and combined with the artificial intelligence imaging technology for the early and accurate diagnosis of lung cancer,to achieve the early detection,diagnosis,and treatment of lung cancer,and to effectively reduce the mortality rate of lung cancer.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Estimated)
100
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Linfu Zhou
- Phone Number: 0086-13611573618
- Email: linfu.zhou@126.com
Study Contact Backup
- Name: Yichun Wang
- Phone Number: 0086-18761638702
- Email: wangyichun8702@163.com
Study Locations
-
-
Jiangsu
-
Nanjing, Jiangsu, China, 210029
- Recruiting
- Jiangsu Province Hospital
-
Contact:
- Linfu Zhou
- Phone Number: +8613611573618
- Email: linfu.zhou@126.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
- Adult
- Older Adult
Accepts Healthy Volunteers
N/A
Sampling Method
Probability Sample
Study Population
Patients with single pulmonary nodule found by CT scan.
Description
Inclusion Criteria:
- (1) Patients with pulmonary nodules diagnosed by imaging;
- (2) No contraindications to blood collection;
- (3) Voluntary completed DNA methylation testing;
- (4) Signed informed consent and performed all the study mandated procedures.
Exclusion Criteria:
- (1) Pregnant or lactating(6 months) women;
- (2) History of malignancy or known malignancy or precancerous lesions or known tuberculosis within 3 years;
- (3) Autoimmune system disorders;
- (4) Undergoing any diagnostic puncture therapy, such as percutaneous lung biopsy, transbronchial, pre-enrollment biopsy, or surgical procedures (within 6 months); (5) Recipients of organ transplants or prior non-autologous (allogeneic) bone marrow transplants or stem cell transplants; (6) Received antibiotic therapy within 14 days or applied a drug that elevates white blood cells within 45 days prior to the blood draw.
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
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Pulmonary Nodule Group
patient conform pulmonary nodules on CT images
|
DNA were extracted from patients'plasma ,then the DNA was bisulfite converted and tested by DNA methylation assay.The results were combined with AI images to differentiate between benign and malignant lung nodules.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Efficacy of early diagnosis of benign and malignant lung nodules by blood DNA methylation results combined with AI imaging
Time Frame: 10 months
|
Construction of a diagnostic model for DNA methylation combined with AI imaging.
Comparing the results of the model with pathologic diagnosis, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).
|
10 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
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)
December 1, 2022
Primary Completion (Estimated)
June 30, 2024
Study Completion (Estimated)
December 31, 2024
Study Registration Dates
First Submitted
January 14, 2024
First Submitted That Met QC Criteria
January 14, 2024
First Posted (Estimated)
January 23, 2024
Study Record Updates
Last Update Posted (Estimated)
January 23, 2024
Last Update Submitted That Met QC Criteria
January 14, 2024
Last Verified
January 1, 2024
More Information
Terms related to this study
Other Study ID Numbers
- 2023SR257
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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