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Authors: David Sebiskveradze 1 ; Cyril Gobinet 1 ; Nathalie Cardot-Leccia 2 ; Michel Manfait 1 ; Pierre Jeannesson 1 ; Vincent Vuiblet 3 and Olivier Piot 1

Affiliations: 1 Faculté de Pharmacie and Université de Reims, France ; 2 Hopital Pasteur and Centre Hospitalier Universitaire de Nice, France ; 3 Hopital Maison Blanche and Centre Hospitalier Universitaire de Reims, France

ISBN: 978-989-758-014-7

Keyword(s): Melanoma, Skin Cancer, Infrared Spectroscopy, Spectral Imaging, Interconnection of Tissue Structures.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Biophotonics ; Histology and Tissue Imaging ; Medical Imaging and Diagnosis

Abstract: Infrared (IR) spectral microimaging is a label-free optical technique that permits to probe the intrinsic chemical composition of biological samples. This technique appears more informative than conventional histology and could be developed as a non-destructive and objective diagnostic tool for in routine use in pathology departments. The discrimination between tumoral and neighbouring tissues relies on highlighting subtle spectral differences by means of advanced statistical multivariate data processing. In this way, we applied an innovative algorithm based on fuzzy clustering to take into account the notion of nuance into the clustering of IR image pixels. IR spectral imaging of human cutaneous melanomas was performed on paraffin-embedded tissue sections, without previous chemical dewaxing. Reconstructed colour-coded images allow recovering automatically different histological structures, by distinguishing tumour from the connective tissue. This approach gives also access to informa tion about the tissue structures. Indeed, it permits to highlight the interconnection between neighbouring structures. In this work in progress study, the analysis was focussed on the interconnection between the tumoral and peritumoral structures and between the tumoral areas in case of a heterogeneous lesion. These first encouraging results pave the way to access new diagnostic and prognostic criteria associated to the tumour aggressiveness in cutaneous melanomas. (More)

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Paper citation in several formats:
Sebiskveradze D., Gobinet C., Cardot-Leccia N., Manfait M., Jeannesson P., Vuiblet V. and Piot O. (2014). Infrared Spectral Microimaging - A New Tool to Characterise the Tissue Features in Skin Cancers of Melanoma Type.In Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2014) ISBN 978-989-758-014-7, pages 59-65. DOI: 10.5220/0004893000590065

@conference{bioimaging14,
author={David Sebiskveradze and Cyril Gobinet and Nathalie Cardot-Leccia and Michel Manfait and Pierre Jeannesson and Vincent Vuiblet and Olivier Piot},
title={Infrared Spectral Microimaging - A New Tool to Characterise the Tissue Features in Skin Cancers of Melanoma Type},
booktitle={Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2014)},
year={2014},
pages={59-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004893000590065},
isbn={978-989-758-014-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2014)
TI - Infrared Spectral Microimaging - A New Tool to Characterise the Tissue Features in Skin Cancers of Melanoma Type
SN - 978-989-758-014-7
AU - Sebiskveradze D.
AU - Gobinet C.
AU - Cardot-Leccia N.
AU - Manfait M.
AU - Jeannesson P.
AU - Vuiblet V.
AU - Piot O.
PY - 2014
SP - 59
EP - 65
DO - 10.5220/0004893000590065

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