Optimizing Image Quality in Obese Patients Undergoing Coronary Computed Tomography (CT) Angiography (BMI40)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00468195
Recruitment Status : Completed
First Posted : May 2, 2007
Last Update Posted : March 21, 2012
Information provided by (Responsible Party):
Kavitha Chinnaiyan, William Beaumont Hospitals

Brief Summary:
The purpose of this cardiovascular imaging research is to look at ways to improve the way we can look at the pictures of the heart. Patients undergo CT scans of the heart for a variety of reasons, including symptoms and/or tests suggestive of coronary artery disease (chest pain, shortness of breath, abnormal stress test, follow up exam of known/existing coronary disease, abnormal calcium score, etc.) This study involves finding ways to optimize quality of the scan in persons of size. This is because in patients with a BMI (body mass index) of greater than 40, it is usually difficult to "see" all the arteries around the heart satisfactorily. Body mass index is a number that we can get by putting your height and weight in a formula. The purpose of this study is to use a new computer software program to help us interpret your heart study.

Condition or disease
Coronary Angiography Obesity Coronary Disease

Detailed Description:

Obesity is one of several known risk factors to develop CAD.The CT technology has been used in a multitude of important applications around the world, and many studies have established a high accuracy in detection of specific coronary stenoses (blockages in the arteries of the heart) compared to other non-invasive modalities and invasive coronary angiography, by heart catheterization. The accuracy of coronary CT angiography (CTA) in detecting coronary disease, as compared to cardiac catheterization has been demonstrated by previous studies performed at William Beaumont Hospital. Several factors contribute to the quality of the images seen on CTA, including heart rate and respiration. Overweight and obesity are also factors that influence image quality due to a low signal to noise ratio or a "noisy image". There are no studies examining the use of various techniques to improve image quality in this high-risk population of patients.

Recent advances in multi-detector computed tomography angiography has made a noninvasive technique of diagnosis of coronary artery disease possible. Multi-detector computed tomography (MDCT) offers great promise as a risk stratification tool in patients with suspected CAD. It has been demonstrated in a multitude of accuracy studies to have a negative predictive value averaging over 95%. This leads to the hypothesis that a negative MDCT may preclude the need for invasive testing. The purpose of this study is to develop an optimal way to image obese patients without presenting an increased risk.

Study Type : Observational
Actual Enrollment : 175 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Optimizing Image Quality in Obese Patients Undergoing Coronary CT Angiography
Study Start Date : May 2007
Actual Study Completion Date : September 2010

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Volunteers greater than 18 years of age; referred from EC, inpatients, physician offices

Inclusion Criteria:

  1. Body Mass Index greater than 35
  2. Age greater than 18 years
  3. Ability to provide informed consent
  4. Scheduled to undergo coronary CTA -

Exclusion Criteria:

  1. Presence of pre-existing CAD (prior myocardial infarction, prior angiographic evidence of significant coronary artery disease, prior coronary bypass surgery).
  2. Renal insufficiency (creatinine ≥1.6) or renal failure requiring dialysis.
  3. Inability or refusal to provide informed consent.
  4. Pregnancy or unknown pregnancy status.
  5. Age less than 18 years.
  6. Patients with known allergy to iodinated contrast.

8. Computed tomography imaging, or contrast administration, within the past 48 hours.

9.Known asthma or reactive airway disease.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT00468195

United States, Michigan
William Beaumont Hospital
Royal Oak, Michigan, United States, 48073
Sponsors and Collaborators
William Beaumont Hospitals
Principal Investigator: Kavitha Chinnaiyan, MD William Beaumont Hospitals
Study Director: Gilbert Raff, MD William Beaumont Hospitals
Study Chair: James Goldstein, MD William Beaumont Hospitals

Responsible Party: Kavitha Chinnaiyan, Physician, William Beaumont Hospitals Identifier: NCT00468195     History of Changes
Other Study ID Numbers: 2007-002
First Posted: May 2, 2007    Key Record Dates
Last Update Posted: March 21, 2012
Last Verified: March 2012

Keywords provided by Kavitha Chinnaiyan, William Beaumont Hospitals:
coronary artery disease

Additional relevant MeSH terms:
Coronary Disease
Coronary Artery Disease
Myocardial Ischemia
Heart Diseases
Cardiovascular Diseases
Vascular Diseases
Arterial Occlusive Diseases