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@ARTICLE{Rengier:130398,
      author       = {F. Rengier$^*$ and S. Wörz$^*$ and C. Melzig and S. Ley
                      and C. Fink and N. Benjamin and S. Partovi and H. von
                      Tengg-Kobligk$^*$ and K. Rohr$^*$ and H.-U. Kauczor$^*$ and
                      E. Grünig},
      title        = {{A}utomated 3{D} {V}olumetry of the {P}ulmonary {A}rteries
                      based on {M}agnetic {R}esonance {A}ngiography {H}as
                      {P}otential for {P}redicting {P}ulmonary {H}ypertension.},
      journal      = {PLoS one},
      volume       = {11},
      number       = {9},
      issn         = {1932-6203},
      address      = {Lawrence, Kan.},
      publisher    = {PLoS},
      reportid     = {DKFZ-2017-05477},
      pages        = {e0162516 -},
      year         = {2016},
      abstract     = {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 $(95\%$ confidence interval
                      0.990-1.0, p<0.001), compared to 0.967 using manually
                      measured MPA diameter $(95\%$ confidence interval 0.910-1.0,
                      p<0.001).Automated MRA-based 3D volumetry of central
                      pulmonary arteries is feasible and demonstrated
                      significantly increased volumes and diameters in patients
                      with pulmonary arterial hypertension compared to healthy
                      controls. Pulmonary artery volume may serve as a superior
                      predictor for pulmonary hypertension compared to manual
                      measurements on axial images but verification in a larger
                      study population is warranted.},
      keywords     = {BIRC5 protein, human (NLM Chemicals) / Inhibitor of
                      Apoptosis Proteins (NLM Chemicals) / Integrin alpha5beta1
                      (NLM Chemicals) / Intracellular Signaling Peptides and
                      Proteins (NLM Chemicals) / PEA15 protein, human (NLM
                      Chemicals) / Phosphoproteins (NLM Chemicals) / TP53 protein,
                      human (NLM Chemicals) / Tumor Suppressor Protein p53 (NLM
                      Chemicals)},
      cin          = {B080 / E015 / E010},
      ddc          = {500},
      cid          = {I:(DE-He78)B080-20160331 / I:(DE-He78)E015-20160331 /
                      I:(DE-He78)E010-20160331},
      pnm          = {312 - Functional and structural genomics (POF3-312)},
      pid          = {G:(DE-HGF)POF3-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:27626802},
      pmc          = {pmc:PMC5023190},
      doi          = {10.1371/journal.pone.0162516},
      url          = {https://inrepo02.dkfz.de/record/130398},
}