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{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2026-03-25'}, 'conditionBrowseModule': {'meshes': [{'id': 'D001281', 'term': 'Atrial Fibrillation'}], 'ancestors': [{'id': 'D001145', 'term': 'Arrhythmias, Cardiac'}, {'id': 'D006331', 'term': 'Heart Diseases'}, {'id': 'D002318', 'term': 'Cardiovascular Diseases'}, {'id': 'D010335', 'term': 'Pathologic Processes'}, {'id': 'D013568', 'term': 'Pathological Conditions, Signs and Symptoms'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'CROSS_SECTIONAL', 'observationalModel': 'CASE_CONTROL'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 600}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'NOT_YET_RECRUITING', 'startDateStruct': {'date': '2026-01-01', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-12', 'completionDateStruct': {'date': '2026-08', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2025-12-22', 'studyFirstSubmitDate': '2025-12-22', 'studyFirstSubmitQcDate': '2025-12-22', 'lastUpdatePostDateStruct': {'date': '2026-01-06', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2026-01-06', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2026-02-28', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'The difference in epicardial adipose tissue distribution among the three cohorts', 'timeFrame': 'At the time of enrollment'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Atrial Fibrillation (AF)', 'CT']}, 'descriptionModule': {'briefSummary': 'The goal of this cross-sectional study is to explore the relationship between atrial structural characteristics (such as epicardial adipose tissue infiltration and atrial size) and atrial fibrillation (AF), as well as the differences in these characteristics among different AF subtypes. It will also clarify the independent association between pericardial fat distribution and AF (and its subtypes) after excluding confounding factors.\n\nThe main questions it aims to answer are:\n\n* What are the differences in epicardial adipose tissue volume and atrial size among patients with sinus rhythm, paroxysmal AF, and persistent AF?\n* Is pericardial fat distribution independently associated with AF and its subtypes after adjusting for confounding factors such as age, hypertension, and left atrial enlargement?\n\nResearchers will enroll patients who undergo coronary CTA or left atrial CTA at The Second Affiliated Hospital of Zhejiang University School of Medicine, and match and divide them into three groups (sinus rhythm group, paroxysmal AF group, and persistent AF group) based on BMI and other factors. They will compare the differences in pericardial fat distribution and baseline characteristics among the three groups and analyze the independent association between pericardial fat and AF.\n\nParticipants will:\n\n* Provide relevant clinical baseline data and CTA examination results\n* Complete the collection of demographic information, medical history, and laboratory test data\n\nThe study duration is 6 months, starting from the date of ethical approval, with an expected end date of June 2026. A total of 600-900 participants (200-300 per group) will be enrolled to ensure the reliability and clinical applicability of the research conclusions.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': "The study population consists of adult patients aged 18 years or older who undergo coronary CTA or left atrial CTA examination at The Second Affiliated Hospital of Zhejiang University School of Medicine. Participants will be categorized into three cohorts according to their confirmed cardiac rhythm status: sinus rhythm, paroxysmal atrial fibrillation, or persistent atrial fibrillation. All enrolled individuals must be willing to provide clinical baseline data and allow access to their CTA examination results, and be able to understand and cooperate with the study's data collection process. Patients under 18 years of age, those with incomplete clinical data or unreadable CTA images, and those who refuse to participate or cannot cooperate will be excluded from the study. The total planned sample size is 600-900 participants, with 200-300 participants in each cohort.", 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Patients who undergo coronary CTA or left atrial CTA examination at The Second Affiliated Hospital of Zhejiang University School of Medicine;\n* Aged 18 years or older\n* Cardiac rhythm status is confirmed as sinus rhythm, paroxysmal atrial fibrillation, or persistent atrial fibrillation;\n* Willing to provide clinical baseline data and allow access to CTA examination results;\n* Able to understand and cooperate with the data collection process of the study.\n\nExclusion Criteria:\n\n* Patients with incomplete clinical baseline data or unreadable CTA images;\n* Aged less than 18 years\n* Patients who refuse to participate in the study or cannot cooperate with data collection;\n* Other situations judged by the researchers to be unsuitable for inclusion in the study.'}, 'identificationModule': {'nctId': 'NCT07320261', 'acronym': 'CCT-EAT-AF-NA', 'briefTitle': 'Cardiac CT Evaluation of EAT in AF vs. Non-AF Subjects', 'organization': {'class': 'OTHER', 'fullName': 'Second Affiliated Hospital, School of Medicine, Zhejiang University'}, 'officialTitle': 'Cardiac Computed Tomography Evaluation of Epicardial Adipose Tissue Differences Between Patients With Atrial Fibrillation and Non-Atrial Fibrillation Individuals', 'orgStudyIdInfo': {'id': '2025-1638-1'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Paroxysmal AF'}, {'label': 'Persistent AF', 'description': 'Paroxysmal AF'}, {'label': 'Sinus rhythm'}]}, 'contactsLocationsModule': {'centralContacts': [{'name': 'Xiaoya Wang, Doctor', 'role': 'CONTACT', 'email': 'wxyonce@zju.edu.cn', 'phone': '86-0571-87784704'}]}, 'ipdSharingStatementModule': {'infoTypes': ['STUDY_PROTOCOL', 'SAP', 'ICF', 'CSR', 'ANALYTIC_CODE'], 'timeFrame': 'Data sharing will be initiated after the primary study results are published, and the sharing period will be 3 years from the date of publication.', 'ipdSharing': 'YES', 'description': 'IPD will be shared with other researchers upon reasonable request. The shared data will include de-identified participant information relevant to the study objectives, such as demographic data, clinical baseline characteristics, CTA examination results, and statistical analysis datasets. To protect participant privacy, all shared data will be de-identified by removing personal identifiers (e.g., name, ID number, contact information) in accordance with ethical regulations and data protection policies of The Second Affiliated Hospital of Zhejiang University School of Medicine. Researchers requesting IPD must submit a research proposal demonstrating the scientific relevance of their study, agree to abide by data use agreements, and ensure that the shared data is only used for legitimate scientific research purposes.', 'accessCriteria': 'Researchers engaged in legitimate scientific research related to the study field (e.g., cardiovascular disease research focusing on atrial fibrillation and atrial structural characteristics) who can demonstrate the scientific relevance and feasibility of their research projects.\n\nDe-identified IPD and supporting information including the study protocol, Statistical Analysis Plan (SAP), Informed Consent Form (ICF) template, Clinical Study Report (CSR), and analytic code.\n\nHow to access: Interested researchers should first submit a formal application to the research team of The Second Affiliated Hospital of Zhejiang University School of Medicine, which includes a detailed research proposal, proof of institutional affiliation, and a commitment to abide by relevant ethical regulations and data use agreements. After the research team reviews and approves the application, the de-identified IPD and supporting information will be provided.'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'xiaoya wang', 'class': 'OTHER'}, 'collaborators': [{'name': 'University of Auckland, New Zealand', 'class': 'OTHER'}], 'responsibleParty': {'type': 'SPONSOR_INVESTIGATOR', 'investigatorTitle': 'Associate Chief Physician', 'investigatorFullName': 'xiaoya wang', 'investigatorAffiliation': 'Second Affiliated Hospital, School of Medicine, Zhejiang University'}}}}