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Chernavskaia, Olga ; Heuke, Sandro ; Vieth, Michael ; Friedrich, Oliver ; Schürmann, Sebastian ; Atreya, Raja ; Stallmach, Andreas ; Neurath, Markus F. ; Waldner, Maximilian ; Petersen, Iver ; Schmitt, Michael ; Bocklitz, Thomas ; Popp, Jürgen:
Beyond endoscopic assessment in inflammatory bowel disease : real-time histology of disease activity by non-linear multimodal imaging.
In: Scientific Reports.
Bd. 6
(2016)
.
- 29239.
ISSN 2045-2322
DOI: https://doi.org/10.1038/srep29239
Abstract
Assessing disease activity is a prerequisite for an adequate treatment of inflammatory bowel diseases (IBD) such as Crohn’s disease and ulcerative colitis. In addition to endoscopic mucosal healing, histologic remission poses a promising end-point of IBD therapy. However, evaluating histological remission harbors the risk for complications due to the acquisition of biopsies and results in a delay of diagnosis because of tissue processing procedures. In this regard, non-linear multimodal imaging techniques might serve as an unparalleled technique that allows the real-time evaluation of microscopic IBD activity in the endoscopy unit. In this study, tissue sections were investigated using the non-linear multimodal microscopy combination of coherent anti-Stokes Raman scattering (CARS), two-photon excited auto fluorescence (TPEF) and second-harmonic generation (SHG). After the measurement a gold-standard assessment of histological indexes was carried out based on a conventional H&E stain. Subsequently, various geometry and intensity related features were extracted from the multimodal images. An optimized feature set was utilized to predict histological index levels based on a linear classifier. Based on the automated prediction, the diagnosis time interval is decreased. Therefore, non-linear multimodal imaging may provide a real-time diagnosis of IBD activity suited to assist clinical decision making within the endoscopy unit.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 530 Physik |
| Eingestellt am: | 19 Mai 2023 09:46 |
| Letzte Änderung: | 19 Mai 2023 09:46 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76297 |