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@ARTICLE{Liebenstund:885922,
      author       = {Liebenstund, Lisa and Coburn, Mark and Fitzner, Christina
                      and Willuweit, Antje and Langen, Karl-Josef and Liu, Jingjin
                      and Veldeman, Michael and Höllig, Anke},
      title        = {{P}redicting experimental success: {A} retrospective
                      case-control study using the rat intraluminal thread model
                      of stroke},
      journal      = {Disease models $\&$ mechanisms},
      volume       = {13},
      number       = {12},
      issn         = {1754-8411},
      address      = {Cambridge},
      publisher    = {Company of Biologists Limited},
      reportid     = {FZJ-2020-04178},
      pages        = {dmm044651},
      year         = {2020},
      abstract     = {The poor translational success rate of preclinical stroke
                      research may partly be due to inaccurate modelling of the
                      disease. We provide data on transient middle cerebral artery
                      occlusion (tMCAO) experiments, including detailed
                      intraoperative monitoring to elaborate predictors indicating
                      experimental success (ischemia without occurrence of
                      confounding pathologies). The tMCAO monitoring data
                      (bilateral cerebral blood flow, CBF; heart rate, HR; and
                      mean arterial pressure, MAP) of 16 animals with an
                      ‘ideal’ outcome (MCA-ischemia), and 48 animals with
                      additional or other pathologies (subdural haematoma or
                      subarachnoid haemorrhage), were checked for their prognostic
                      performance (receiver operating characteristic curve and
                      area under the curve, AUC). Animals showing a decrease in
                      the contralateral CBF at the time of MCA occlusion suffered
                      from unintended pathologies. Implementation of baseline MAP,
                      in addition to baseline HR (AUC, 0.83, $95\%$ c.i. 0.68 to
                      0.97), increased prognostic relevance (AUC, 0.89, $95\%$
                      c.i. 0.79 to 0.98). Prediction performance improved when two
                      additional predictors referring to differences in left and
                      right CBF were considered (AUC, 1.00, $95\%$ c.i. 1.0 to
                      1.0). Our data underline the importance of
                      peri-interventional monitoring to verify a successful
                      experimental performance in order to ensure a disease model
                      as homogeneous as possible.},
      cin          = {INM-4 / INM-5},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-5-20090406},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33093066},
      UT           = {WOS:000606733500006},
      doi          = {10.1242/dmm.044651},
      url          = {https://juser.fz-juelich.de/record/885922},
}