Evaluation of the Factors Affecting the Diagnostic Performance of Coronary Computed Tomography Angiogram (CTA) With Multi-slice Computed Tomography (MSCT)
NCT ID: NCT01164839
Last Updated: 2010-07-19
Study Results
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Basic Information
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UNKNOWN
1000 participants
OBSERVATIONAL
2010-07-31
2011-12-31
Brief Summary
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Detailed Description
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Detailed Description Over the past few years, the development in CT technology, especially the introduction of 64-slice multi-slice CT (64 MSCT), has permitted the application of coronary CT angiography to detect coronary stenosis in suspected patients with coronary heart diseases. Now, coronary CT angiography has been widely used worldwide. However, the accuracy of coronary CT angiography is always a concern in decision making of proper treatment, especially in determining the existence of significant stenosis in patients with visible coronary arteriosclerosis.
Factors affecting the diagnostic accuracy may include spatial resolution, temporal resolution, motion artifacts, banding artifacts, image noise level, calcification, vessel enhancement, operator dependant factors, etc. One or more factors may affect the diagnosis performance in any single case. So it is important to determine the weighting of these factors in stenosis detection and the tolerance of diagnostic accuracy to these adverse factors.
Materials and methods
1. Patient Population: About one thousand patients will be recruited over one year from our institution and other hospitals. All patients will undergo coronary CTA for suspected coronary artery disease. Then X-ray coronary angiography will be performed based on the impression on CTA findings from one radiologist (who will not participate the study) and/or clinical suspicion. Cases with both coronary CTA and X-ray coronary angiography in two weeks will be included. Our Institutional Review Board has approved the study. All patients will give informed consent. Patients with acute heart failure, severe arrhythmia and severe renal dysfunction will be excluded from cardiac studies.
2. To identify stenosis, the coronary arteries of all cases were divided into 15 segments for evaluation with coronary CTA and SCA. Coronary stenosis was recorded as percentage narrowing of lumen diameter and degree of stenosis (without stenosis, mild stenosis (≦50%), moderate stenosis (51%\~75%), and severe stenosis (100%)). Experienced radiologists and cardiologists make the assessment independently in a double blind manner. The result of SCA was used as gold standard.
3. The process of coronary CTA examination of each recruited case will be carefully recorded to evaluate the factors that may affect the diagnostic performance of coronary CTA, such as heart rate, contrast injection parameters, delay time, optimal phase for reconstruction, etc. In addition, image quality will be evaluated, including the grading of motion artifact, banding artifact, enhancement, etc.
4. To evaluate operator dependant factors, all the reformations of coronary CTA will be performed by two different operators. The reformed images will also be reviewed by two different observers to evaluate the stenosis, as well as the image quality factors (motion artifacts, banding artifacts, image noise level, calcification burden, vessel enhancement).
5. Statistical analyses will be performed to evaluate the weighting of different factors in affecting the accuracy of coronary CTA.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
* suspected of coronary artery disease
* capable of cooperation during coronary CT angiography
* with X-ray coronary angiography within 2 weeks after coronary CTA
Exclusion Criteria
* pregnant or nursing period
* acute heart failure
* severe arrhythmia
* allergic to iodine
* severe renal failure
* not capable of breathholding
* acute myocardial infarction or previous myocardial infarction
* previous stent implantation
* change of clinical status between coronary CTA and X-ray coronary angiography
20 Years
80 Years
ALL
No
Sponsors
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Beijing Meitan General Hospital
UNKNOWN
Daping Hospital and the Research Institute of Surgery of the Third Military Medical University
OTHER
Xinan Hospital, Third Military Medical University
UNKNOWN
Xinqiao Hospital of Chongqing
OTHER
Guangxi Medical University
OTHER
Guilin Medical College
OTHER
The Second Affiliated Hospital of Harbin Medical University
OTHER
Chinese PLA General Hospital
OTHER
First Affiliated Hospital of Kunming Medical University
OTHER
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
OTHER
Ningxia Medical University
OTHER
Qinghai People's Hospital
OTHER
The First Affiliated Hospital of Shanxi Medical University
OTHER
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
OTHER
RenJi Hospital
OTHER
Beijing Tongren Hospital
OTHER
The Affiliated Hospital of Tianjin Medical University
UNKNOWN
Tang-Du Hospital
OTHER
The First Affiliated Hospital of Zhengzhou University
OTHER
First Hospital of China Medical University
OTHER
Second Xiangya Hospital of Central South University
OTHER
Shanghai Changzheng Hospital
OTHER
LanZhou University
OTHER
Beijing Armed Police General hospital
UNKNOWN
Capital Medical University
OTHER
Responsible Party
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Xuanwu Hospital, Capital Medical University
Principal Investigators
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Kuncheng Li, MD, PhD
Role: STUDY_DIRECTOR
Xuanwu Hospital, Beijing
Locations
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Xuanwu Hospital, Capital Medical University
Beijing, Beijing Municipality, China
Countries
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Central Contacts
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Facility Contacts
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Jie Liu
Role: primary
Other Identifiers
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CCTA-CMUXW
Identifier Type: -
Identifier Source: org_study_id
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