h1

% 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”.

@PHDTHESIS{Knemann:1023998,
      author       = {Könemann, Carl Philipp Emanuel},
      othercontributors = {Klosterhalfen, Bernd and Klinge, Uwe},
      title        = {{MALDI} {TOF} {IMS} - a tool for diagnosis of low-grade
                      infection?},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-10911},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2026; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2025},
      abstract     = {Introduction: With the rising success of alloplastic
                      material in implantation surgery, implant-associated
                      complications have increased. One of the most severe
                      complications is infection of the implant. Especially
                      diagnosis of low-grade infections is challenging due to
                      absence of clear clinical signs of inflammation. Often,
                      explantation of the implant and histopathological review of
                      the tissue are required. However, many implants are not
                      sectionable or severely hinder the cutting process of the
                      tissue, resulting in poor sample quality with subsequent
                      difficulties to detect polymorphonuclear granulocytes
                      (PMNs). MALDI TOF IMS may provide additional information to
                      diagnose infection of implants combining histopathological
                      review with mass spectrometry. Material and Methods: In this
                      retrospective study, we analyzed tissue from 15
                      formalin-fixed and paraffin-embedded (FFPE) surgical hernia
                      explants. The tissues were conventionally stained with
                      hematoxylin and eosin $(H\&E)$ and by immunohistochemistry
                      using CD15 to detect PMNs as indicator cells for infections.
                      Areas with high number of PMNs were annotated. Subsequently,
                      MALDI TOF IMS was performed, and specific (m/z) ion peptides
                      were searched as biomarkers for infection. Results and
                      Conclusion: We were able to detect PMN peptides in mesh
                      embedded tissue. Histologically annotated areas with high
                      numbers of neutrophils showed high intensity for the
                      neutrophil-associated peptides. As a proof of principle
                      MALDI TOF IMS can detect PMN peptides across different
                      tissue types and provide additional information for
                      diagnosing low-grade infection in implants. Due to the small
                      sample size further studies are necessary to substantiate
                      the potential of MALDI TOF IMS in diagnosis of low-grade
                      infection.},
      cin          = {528001-2 ; 922910},
      ddc          = {610},
      cid          = {$I:(DE-82)528001-2_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-10911},
      url          = {https://publications.rwth-aachen.de/record/1023998},
}