%0 Journal Article
%A Rengier, Fabian
%A Wörz, Stefan
%A Melzig, Claudius
%A Ley, Sebastian
%A Fink, Christian
%A Benjamin, Nicola
%A Partovi, Sasan
%A von Tengg-Kobligk, Hendrik
%A Rohr, Karl
%A Kauczor, Hans-Ulrich
%A Grünig, Ekkehard
%T Automated 3D Volumetry of the Pulmonary Arteries based on Magnetic Resonance Angiography Has Potential for Predicting Pulmonary Hypertension.
%J PLoS one
%V 11
%N 9
%@ 1932-6203
%C Lawrence, Kan.
%I PLoS
%M DKFZ-2017-05477
%P e0162516 -
%D 2016
%X To demonstrate feasibility of automated 3D volumetry of central pulmonary arteries based on magnetic resonance angiography (MRA), to assess pulmonary artery volumes in patients with pulmonary hypertension compared to healthy controls, and to investigate the potential of the technique for predicting pulmonary hypertension.MRA of pulmonary arteries was acquired at 1.5T in 20 patients with pulmonary arterial hypertension and 21 healthy normotensive controls. 3D model-based image analysis software was used for automated segmentation of main, right and left pulmonary arteries (MPA, RPA and LPA). Volumes indexed to vessel length and mean, minimum and maximum diameters along the entire vessel course were assessed and corrected for body surface area (BSA). For comparison, diameters were also manually measured on axial reconstructions and double oblique multiplanar reformations. Analyses were performed by two cardiovascular radiologists, and by one radiologist again after 6 months.Mean volumes of MPA, RPA and LPA for patients/controls were 5508 ± 1236/3438 ± 749, 3522 ± 934/1664 ± 468 and 3093 ± 692/1812 ± 474 μl/(cm length x m2 BSA) (all p<0.001). Mean, minimum and maximum diameters along the entire vessel course were also significantly increased in patients compared to controls (all p<0.001). Intra- and interobserver agreement were excellent for both volume and diameter measurements using 3D segmentation (intraclass correlation coefficients 0.971-0.999, p<0.001). Area under the curve for predicting pulmonary hypertension using volume was 0.998 (95
%K BIRC5 protein, human (NLM Chemicals)
%K Inhibitor of Apoptosis Proteins (NLM Chemicals)
%K Integrin alpha5beta1 (NLM Chemicals)
%K Intracellular Signaling Peptides and Proteins (NLM Chemicals)
%K PEA15 protein, human (NLM Chemicals)
%K Phosphoproteins (NLM Chemicals)
%K TP53 protein, human (NLM Chemicals)
%K Tumor Suppressor Protein p53 (NLM Chemicals)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:27626802
%2 pmc:PMC5023190
%R 10.1371/journal.pone.0162516
%U https://inrepo02.dkfz.de/record/130398