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New Thoracic Imaging Approach Can Pinpoint Underlying Venous Problems

Date:
October 10, 2007
Source:
University of Cincinnati
Summary:
Radiologists have developed a new technique for capturing images of chest veins that eases diagnosis of venous diseases. Multi-detector computed tomography (CT) scanners are traditionally used to create three-dimensional images of arteries, the vessels which carry oxygen-rich blood away from the heart and distribute blood throughout the body. Veins, smaller vessels that return blood to the heart, are more difficult to accurately image.
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Multi-detector computed tomography scans can be used to more precisely image veins in the chest.
Credit: Image courtesy of University of Cincinnati

University of Cincinnati (UC) radiologists have developed a new technique for capturing images of chest veins that eases diagnosis of venous diseases.

Multi-detector computed tomography (CT) scanners are traditionally used to create three-dimensional images of arteries, the vessels which carry oxygen-rich blood away from the heart and distribute blood throughout the body. Veins, smaller vessels that return blood to the heart, are more difficult to accurately image.

Developed by Cristopher Meyer, MD and Achala Vagal, MD, the new protocol allows radiologists to compensate for the extra time it takes contrast solution to reach the veins so useful images can be produced using the CT scanner.

"We found that the rapid-imaging scanners were almost too fast for venous studies," explains Vagal, a UC assistant professor and radiologist at University Hospital. "By the time the contrast reached the patient's veins, there were too many artifacts to make any meaningful conclusions about possible disease--for example, blood clots."

"Venous disease is rare and can be difficult to pinpoint," she adds. "This new protocol uses the same imaging equipment in a novel way that allows us to acquire better venous images and make good clinical decisions."

Vagal presented guidelines for this thoracic imaging protocol at the North American Society of Cardiovascular Imaging's 35th Annual Meeting and Scientific Sessions in Washington, D.C., on Oct. 8.

For this new imaging technique, the CT technologist prepares two syringes of contrast: The first includes 140 cubic centimeters (CC) of undiluted contrast; the second contains a diluted mixture of 100 CC of contrast and 10 CC of saline solution.

"The key to getting accurate clinical images of the veins is in the timing," Vagal says.

Both syringes are given consecutively at a rate of four CC per second, with a 60-second delay between the final injection and initiation of the CT scan.

"Previously, there was so much dense contrast in the veins that all you could see on the CT scan were streaks that didn't tell you anything about possible venous disease," explains Vagal. "Delaying the scan gave us enough time for both the arteries and the veins to be opacified, which resulted in the crisp images that allowed us to make better clinical determinations."

Vagal is affiliated with the Neuroscience Institute at UC and University Hospital, a center of excellence that focuses on the main diseases of the brain and nerves such as stroke, brain tumors, brain trauma, Parkinson's and Alzheimer's disease, epilepsy, ALS and multiple sclerosis.



Story Source:

The above story is based on materials provided by University of Cincinnati. Note: Materials may be edited for content and length.


Cite This Page:

University of Cincinnati. "New Thoracic Imaging Approach Can Pinpoint Underlying Venous Problems." ScienceDaily. ScienceDaily, 10 October 2007. <www.sciencedaily.com/releases/2007/10/071008113702.htm>.
University of Cincinnati. (2007, October 10). New Thoracic Imaging Approach Can Pinpoint Underlying Venous Problems. ScienceDaily. Retrieved April 27, 2015 from www.sciencedaily.com/releases/2007/10/071008113702.htm
University of Cincinnati. "New Thoracic Imaging Approach Can Pinpoint Underlying Venous Problems." ScienceDaily. www.sciencedaily.com/releases/2007/10/071008113702.htm (accessed April 27, 2015).

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