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@ARTICLE{Knab:169345,
      author       = {Knab, Felix and Koch, Stefan Paul and Major, Sebastian and
                      Farr, Tracy D. and Mueller, Susanne and Euskirchen, Philipp
                      and Eggers, Moritz and Kuffner, Melanie T. C. and Walter,
                      Josefine and Dreier, Jens P. and Endres, Matthias and
                      Dirnagl, Ulrich and Wenger, Nikolaus and Hoffmann, Christian
                      J. and Boehm-Sturm, Philipp and Harms, Christoph},
      title        = {{P}rediction of {S}troke {O}utcome in {M}ice {B}ased on
                      {N}on-{I}nvasive {MRI} and {B}ehavioral {T}esting},
      reportid     = {DZNE-2023-00120},
      year         = {2022},
      abstract     = {Prediction of post-stroke outcome using the degree of
                      subacute deficit or magnetic resonance imaging metrics is
                      well studied in humans. While mice are the most commonly
                      used animals in pre-clinical stroke research, systematic
                      analysis of outcome predictors is lacking.Methods Data from
                      a total of 13 studies that included 45 minutes of middle
                      cerebral artery occlusion on 148 mice were pooled. Motor
                      function was measured using a modified protocol for the
                      staircase test of skilled reaching. Phases of subacute and
                      residual deficit were defined. Magnetic resonance images of
                      stroke lesions were co-registered on the Allen Mouse Brain
                      Atlas to characterize stroke topology. Different random
                      forest prediction models that either used motor-functional
                      deficit or imaging parameters were generated for the
                      subacute and residual deficits.Results We detected both a
                      subacute and residual motor-functional deficit after stroke
                      in mice. Different functional severity grades and recovery
                      trajectories could be observed. We found that lesion volume
                      is the best predictor of subacute deficit. The residual
                      deficit can be predicted most accurately by the degree of
                      the subacute deficit. When using imaging parameters for the
                      prediction of the residual deficit, including information
                      about the lesion topology increases prediction accuracy. A
                      subset of anatomical regions within the ischemic lesion have
                      an outstanding impact on the prediction of long-term
                      outcome. Prediction accuracy depends on the degree of
                      functional impairment.Conclusions For the first time, we
                      identified and characterized predictors of post-stroke
                      outcome in a large cohort of mice and found strong
                      concordance with clinical data. In the future, using outcome
                      prediction can improve the design of pre-clinical studies
                      and guide intervention decisions.},
      cin          = {AG Endres / AG Dirnagl},
      cid          = {I:(DE-2719)1811005 / I:(DE-2719)1810002},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.1101/2022.05.13.491869},
      url          = {https://pub.dzne.de/record/169345},
}