1997
DOI: 10.1007/pl00006890
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Clinical utility of contrast-enhanced MR angiography

Abstract: MR angiography (MRA) is a technique under ongoing discussion. Its non-invasiveness and sensitivity to flow irregularities make it an investigational technique which is easy to apply but which does not always lead to comprehensive results. It requires special skill to perform and also experience for correct interpretation of the results. The lengthiness of the procedure combined with certain physical properties tends to limit its use to mostly neurovascular applications. With the introduction of ultrafast MRA i… Show more

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Cited by 23 publications
(9 citation statements)
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References 15 publications
(24 reference statements)
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“…This was followed by a saline flush of 30 mL injected at the same rate. The timing of bolus injection and data acquisition was determined by a bolus test sequence acquired before the CE‐MRA (24).…”
Section: Methodsmentioning
confidence: 99%
“…This was followed by a saline flush of 30 mL injected at the same rate. The timing of bolus injection and data acquisition was determined by a bolus test sequence acquired before the CE‐MRA (24).…”
Section: Methodsmentioning
confidence: 99%
“…However, there may be problems due to multi-directional and turbulent flow. In 1997, Bongartz et al addressed the clinical utility of the then recently introduced contrast-enhanced MR angiography [18]. Combining an ultrafast 3D TOF sequence with the first-pass effect of an extracellular contrast medium was able to generate high-quality angiograms.…”
Section: Power Of Attraction: Magnetismmentioning
confidence: 99%
“…Magnetic resonance angiography (MRA) has evolved into a standard clinical examination for the evaluation of the abdominal aorta and its main branches [1][2][3]. The main advantages of MRA are its non-invasiveness, the lacking nephrotoxicity of the applied gadolinium (Gd)-chelates, the combination of morphologic and functional information in a single examination and the high spatial resolution (HR) of the three-dimensional (3D)-data sets.…”
Section: Introductionmentioning
confidence: 99%