% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Bendella:270639,
      author       = {Bendella, Zeynep and Purrer, Veronika and Haase, Robert and
                      Zülow, Stefan and Kindler, Christine and Borger, Valerie
                      and Banat, Mohammed and Dorn, Franziska and Wüllner,
                      Ullrich and Radbruch, Alexander and Schmeel, Frederic
                      Carsten},
      title        = {{B}rain and {V}entricle {V}olume {A}lterations in
                      {I}diopathic {N}ormal {P}ressure {H}ydrocephalus
                      {D}etermined by {A}rtificial {I}ntelligence-{B}ased {MRI}
                      {V}olumetry.},
      journal      = {Diagnostics},
      volume       = {14},
      number       = {13},
      issn         = {2075-4418},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {DZNE-2024-00811},
      pages        = {1422},
      year         = {2024},
      abstract     = {The aim of this study was to employ artificial intelligence
                      (AI)-based magnetic resonance imaging (MRI) brain volumetry
                      to potentially distinguish between idiopathic normal
                      pressure hydrocephalus (iNPH), Alzheimer's disease (AD), and
                      age- and sex-matched healthy controls (CG) by evaluating
                      cortical, subcortical, and ventricular volumes.
                      Additionally, correlations between the measured brain and
                      ventricle volumes and two established semi-quantitative
                      radiologic markers for iNPH were examined. An IRB-approved
                      retrospective analysis was conducted on 123 age- and
                      sex-matched subjects (41 iNPH, 41 AD, and 41 controls), with
                      all of the iNPH patients undergoing routine clinical brain
                      MRI prior to ventriculoperitoneal shunt implantation.
                      Automated AI-based determination of different cortical and
                      subcortical brain and ventricular volumes in mL, as well as
                      calculation of population-based normalized percentiles
                      according to an embedded database, was performed; the
                      CE-certified software mdbrain v4.4.1 or above was used with
                      a standardized T1-weighted 3D magnetization-prepared rapid
                      gradient echo (MPRAGE) sequence. Measured brain volumes and
                      percentiles were analyzed for between-group differences and
                      correlated with semi-quantitative measurements of the Evans'
                      index and corpus callosal angle: iNPH patients exhibited
                      ventricular enlargement and changes in gray and white matter
                      compared to AD patients and controls, with the most
                      significant differences observed in total ventricular volume
                      $(+67\%)$ and the lateral $(+68\%),$ third $(+38\%),$ and
                      fourth $(+31\%)$ ventricles compared to controls. Global
                      ventriculomegaly and marked white matter reduction with
                      concomitant preservation of gray matter compared to AD and
                      CG were characteristic of iNPH, whereas global and
                      frontoparietally accentuated gray matter reductions were
                      characteristic of AD. Evans' index and corpus callosal angle
                      differed significantly between the three groups and
                      moderately correlated with the lateral ventricular volumes
                      in iNPH patients [Evans' index (r > 0.83, p ≤ 0.001),
                      corpus callosal angle (r < -0.74, p ≤ 0.001)]. AI-based
                      MRI volumetry in iNPH patients revealed global ventricular
                      enlargement and focal brain atrophy, which, in contrast to
                      healthy controls and AD patients, primarily involved the
                      supratentorial white matter and was marked temporomesially
                      and in the midbrain, while largely preserving gray matter.
                      Integrating AI volumetry in conjunction with traditional
                      radiologic measures could enhance iNPH identification and
                      differentiation, potentially improving patient management
                      and therapy response assessment.},
      keywords     = {automated volumetrization (Other) / brain atrophy (Other) /
                      normal pressure hydrocephalus (Other) / quantitative
                      neuroimaging (Other)},
      cin          = {AG Radbruch / AG Klockgether / Patient Studies Bonn / AG
                      Wüllner},
      ddc          = {610},
      cid          = {I:(DE-2719)5000075 / I:(DE-2719)1011001 /
                      I:(DE-2719)1011101 / I:(DE-2719)1011302},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39001312},
      pmc          = {pmc:PMC11241572},
      doi          = {10.3390/diagnostics14131422},
      url          = {https://pub.dzne.de/record/270639},
}