Literature DB >> 21031516

4D time-resolved magnetic resonance angiography for noninvasive assessment of pulmonary arteriovenous malformations patency.

Loic Boussel1, Alexandru Cernicanu, Liesbeth Geerts, Delphine Gamondes, Chahera Khouatra, Vincent Cottin, Didier Revel, Philippe Douek.   

Abstract

PURPOSE: To assess the capability of four-dimensional (4D) time-resolved magnetic resonance angiography (MRA) to assess pulmonary arteriovenous malformations (PAVMs) patency by analyzing pulmonary arterial and venous enhancement kinetics.
MATERIALS AND METHODS: Seven patients with eight documented patent PAVMs underwent a 4D-MRA with keyhole and viewsharing compression at 3T with the following parameters: spatial resolution 0.87 × 0.87 × 1.4 mm(3); field of view 500 × 350 × 238 mm(3); dynamic scan time (temporal resolution) 1.2 seconds; total acquisition time 18.1 seconds for six dynamic datasets (6 × 1.2 sec + reference scan: 10.9 sec). All images were reviewed by two experienced radiologists. Image quality was rated on a qualitative 5-point scale (1: not assessable to 5: excellent). Signal value was measured on cross-sectional planes for the afferent arteries and efferent veins of the PAVM, and for normal reference healthy arteries and veins. The difference in time to peak for each coupled artery/vein (dTTPav) was calculated and compared with a Mann-Whitney test between PAVMs and reference vessels.
RESULTS: Mean image quality was 3.2 ± 0.9. dTTPav was significantly smaller in PAVMs (0.15 ± 0.76 sec) than in reference vessels (3.75 ± 1.62 sec), P < 0.001.
CONCLUSION: 4D-MRA is a promising tool for noninvasive assessment of PAVM patency.
© 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 21031516     DOI: 10.1002/jmri.22384

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  12 in total

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10.  Feasibility of Non-contrast-enhanced MR Angiography Using the Time-SLIP Technique for the Assessment of Pulmonary Arteriovenous Malformation.

Authors:  Kohei Hamamoto; Katsuhiko Matsuura; Emiko Chiba; Tomohisa Okochi; Keisuke Tanno; Osamu Tanaka
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