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Biochim Biophys Acta Proteins Proteom. 2017 Jul;1865(7):946-956. doi: 10.1016/j.bbapap.2016.08.018. Epub 2016 Sep 1.

Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition.

Author information

1
Fraunhofer Institute for Image Computing MEVIS, Lübeck, Germany.
2
Institute of Physical Chemistry, Friedrich Schiller University, Jena, Germany; ENT Department, University Hospital Jena, Germany.
3
SCiLS GmbH, Bremen, Germany.
4
MALDI Imaging Lab, University of Bremen, Bremen, Germany.
5
Bruker Daltonik, Bremen, Germany.
6
Center for Industrial Mathematics, University of Bremen, Bremen, Germany.
7
SCiLS GmbH, Bremen, Germany; MALDI Imaging Lab, University of Bremen, Bremen, Germany; European Molecular Biology Laboratory, Heidelberg, Germany.
8
ENT Department, University Hospital Jena, Germany.
9
Institute of Physical Chemistry, Friedrich Schiller University, Jena, Germany; ENT Department, University Hospital Jena, Germany; Leibniz Institute of Photonic Technology (IPHT), Jena, Germany; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Jena, Germany. Electronic address: F.v.Eggeling@uni-jena.de.

Abstract

In the last years, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) became an imaging technique which has the potential to characterize complex tumor tissue. The combination with other modalities and with standard histology techniques was achieved by the use of image registration methods and enhances analysis possibilities. We analyzed an oral squamous cell carcinoma with up to 162 consecutive sections with MALDI MSI, hematoxylin and eosin (H&E) staining and immunohistochemistry (IHC) against CD31. Spatial segmentation maps of the MALDI MSI data were generated by similarity-based clustering of spectra. Next, the maps were overlaid with the H&E microscopy images and the results were interpreted by an experienced pathologist. Image registration was used to fuse both modalities and to build a three-dimensional (3D) model. To visualize structures below resolution of MALDI MSI, IHC was carried out for CD31 and results were embedded additionally. The integration of 3D MALDI MSI data with H&E and IHC images allows a correlation between histological and molecular information leading to a better understanding of the functional heterogeneity of tumors. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.

KEYWORDS:

3D; Head and Neck Cancer; MALDI imaging; OSCC; image registration; immunohistochemistry; multimodality

PMID:
27594533
DOI:
10.1016/j.bbapap.2016.08.018
[Indexed for MEDLINE]

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