Sergio Ernesto Martinez‐Herrera

Laboratoire Charles Fabry

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François Goudail

Centre National de la Recherche Scientifique

Thomas Bazin

Hôpital Beaujon

Valérie Michel

Université de Toulon

Yannick Benezeth

Université de Bourgogne

Aude Jobart‐Malfait

Université de Versailles Saint-Quentin-en-Yvelines

Eliette Touati

Institut Pasteur

Dominique Lamarque

Assistance Publique – Hôpitaux de Paris

Matthieu Boffety

Laboratoire Charles Fabry

Franck Marzani

Université de Bourgogne

Jean‐François Emile

Université Paris-Saclay

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Centre National de la Recherche Scientifique

Université Paris-Saclay

Université de Versailles Saint-Quentin-en-Yvelines

Inserm

Université Paris Cité

Assistance Publique – Hôpitaux de Paris

Hôpital Ambroise-Paré

Infection et inflammation

CHU Ambroise Paré

Laboratoire Charles Fabry

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Multispectral imaging detects gastritis consistently in mouse model and in humans

Scientific Reports (2020)

Thomas Bazin Sergio Ernesto Martinez‐Herrera Aude Jobart‐Malfait Yannick Benezeth Matthieu Boffety

Abstract Gastritis constitutes the initial step of the gastric carcinogenesis process. Gastritis diagnosis is based on histological examination of biopsies. Non-invasive real-time methods to detect mucosal inflammation are needed. Tissue optical properties modify reemitted light, i.e. the proportion of light that is emitted by a tissue after stimulation by a light flux. Analysis of light reemitted by gastric tissue could predict the inflammatory state. The aim of our study was to investigate a potential association between reemitted light and gastric tissue inflammation. We used two models and three multispectral analysis methods available on the marketplace. We used a mouse model of Helicobacter pylori infection and included patients undergoing gastric endoscopy. In mice, the reemitted light was measured using a spectrometer and a multispectral camera. We also exposed patient’s gastric mucosa to specific wavelengths and analyzed reemitted light. In both mouse model and humans, modifications of reemitted light were observed around 560 nm, 600 nm and 640 nm, associated with the presence of gastritis lesions. These results pave the way for the development of improved endoscopes in order to detect real-time gastritis without the need of biopsies. This would allow a better prevention of gastric cancer alongside with cost efficient endoscopies.

Chronic gastritis

10.1038/s41598-020-77145-4

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Author Correction: Multispectral imaging detects gastritis consistently in mouse model and in humans

Scientific Reports (2021)

Thomas Bazin Sergio Ernesto Martinez‐Herrera Aude Jobart‐Malfait Yannick Benezeth Matthieu Boffety

10.1038/s41598-021-94899-7

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