The value of Digital subtraction angiography in peripheral vascular diseases

Abstract

The iliac and subclavian arteries and their distal branches were studied by digital subtraction angiography (DSA) in 79 patients and the results compared with conventional angiograms for 35 patients. Techniques, results, advantages and disadvantages are described. DSA (both intravenous and intra-arterial) looks very promising in the diagnosis of peripheral vascular disease.

A theoretical comparison of x-ray angiographic image quality using energy-dependent and conventional subtraction methods

“…Involuntary motions such as swallowing after a carotid injection can impair image quality [16][17][18] and movement of extremities can degrade visualization of peripheral arteries. 19,20 In coronary angiography, subtraction methods are almost never employed, and high quality images are obtained using a relatively high radiation exposures and iodine concentrations to ensure that both large and small arteries are clearly distinguished over background structures. Image processing techniques have been helpful for retrospective registration, particularly for simpler motions.…”

The use of the AVERT system to limit contrast volume administration during peripheral angiography and intervention

“…Operators performing traditional injection methods may attempt to dilute contrast with saline to maintain volume and pressure delivery and reduce contrast volume . Given that the density of saline and contrast are substantially different from each other, this practice may result in streaming of the injectate and reduce the quality of images . Using the AVERT system, the hydrodynamic relationship between the AVERT and the patient/catheter circuit can be balanced such that a hand injection of contrast can be delivered in a controlled method with reduced pressure (and lower total volume).…”

Retrospective motion correction in digital subtraction angiography: a review

“…Sudden motion of arms and legs degrades the visualization of peripheral arteries [56,144]. When using automated stepping, the time span between the acquisitions of mask and contrast images is relatively large, and therefore patient motion frequently occurs [41].…”