% 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{Gutsche:890447,
      author       = {Gutsche, Robin and Scheins, Jürgen and Kocher, Martin and
                      Bousabarah, Khaled and Fink, Gereon Rudolf and Shah, N. J.
                      and Langen, Karl-Josef and Galldiks, Norbert and Lohmann,
                      Philipp},
      title        = {{E}valuation of {FET} {PET} {R}adiomics {F}eature
                      {R}epeatability in {G}lioma {P}atients},
      journal      = {Cancers},
      volume       = {13},
      number       = {4},
      issn         = {2072-6694},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2021-00963},
      pages        = {647 -},
      year         = {2021},
      abstract     = {Amino acid PET using the tracer
                      O-(2-[18F]fluoroethyl)-L-tyrosine (FET) has attracted
                      considerable interest in neurooncology. Furthermore, initial
                      studies suggested the additional diagnostic value of FET PET
                      radiomics in brain tumor patient management. However, the
                      conclusiveness of radiomics models strongly depends on
                      feature generalizability. We here evaluated the
                      repeatability of feature-based FET PET radiomics. A
                      test–retest analysis based on equivalent but statistically
                      independent subsamples of FET PET images was performed in 50
                      newly diagnosed and histomolecularly characterized glioma
                      patients. A total of 1,302 radiomics features were
                      calculated from semi-automatically segmented tumor
                      volumes-of-interest (VOIs). Furthermore, to investigate the
                      influence of the spatial resolution of PET on repeatability,
                      spherical VOIs of different sizes were positioned in the
                      tumor and healthy brain tissue. Feature repeatability was
                      assessed by calculating the intraclass correlation
                      coefficient (ICC). To further investigate the influence of
                      the isocitrate dehydrogenase (IDH) genotype on feature
                      repeatability, a hierarchical cluster analysis was
                      performed. For tumor VOIs, $73\%$ of first-order features
                      and $71\%$ of features extracted from the gray level
                      co-occurrence matrix showed high repeatability (ICC $95\%$
                      confidence interval, 0.91–1.00). In the largest spherical
                      tumor VOIs, $67\%$ of features showed high repeatability,
                      significantly decreasing towards smaller VOIs. The IDH
                      genotype did not affect feature repeatability. Based on 297
                      repeatable features, two clusters were identified separating
                      patients with IDH-wildtype glioma from those with an IDH
                      mutation. Our results suggest that robust features can be
                      obtained from routinely acquired FET PET scans, which are
                      valuable for further standardization of radiomics analyses
                      in neurooncology.},
      cin          = {INM-3 / INM-4},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406},
      pnm          = {525 - Decoding Brain Organization and Dysfunction
                      (POF4-525) / DFG project 428090865 - Radiomics basierend auf
                      MRT und Aminosäure PET in der Neuroonkologie},
      pid          = {G:(DE-HGF)POF4-525 / G:(GEPRIS)428090865},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33562803},
      UT           = {WOS:000623385200001},
      doi          = {10.3390/cancers13040647},
      url          = {https://juser.fz-juelich.de/record/890447},
}