METHOD FOR DETECTING AND QUANTIFYING FIBROSIS

• US 20170212041A1
• Filed: 07/02/2015
• Published: 07/27/2017
• Est. Priority Date: 07/29/2014
• Status: Active Grant

• Current Assignee: Universite De Reims Champagne-Ardenne
• Original Assignee: Universite De Reims Champagne-Ardenne
• Inventors: VUIBLET, Vincent, PIOT, Olivier, RIEU, Philippe, FERE, Michael, GOBINET, Cyril
• Granted Patent: US 9,810,625 B2
• Time in Patent Office: Days
• CPC Class Codes: G01N 2021/3196 Correlating located peaks in spectrum with reference data, e.g. fingerprint data
• CPC Class Codes: G01N 2021/3595 using FTIR
• CPC Class Codes: G01N 21/3563 for analysing solids; Preparation of samples therefor
• CPC Class Codes: G01N 21/359 using near infrared light
• CPC Class Codes: G01N 2201/10 Scanning
• CPC Class Codes: G01N 2201/129 Using chemometrical methods
• CPC Class Codes: G01N 33/5091 for testing the pathological state of an organism

Abstract

A method for detecting and quantifying fibrosis, which involves at least; positioning a non-coloured fixed tissue sample on a support; carrying out infrared acquisition, by scanning, of points of the sample; converting the infrared spectrum produced by each acquired point into at least one spectral image; carrying out a digital processing operation on the spectral image by distinguishing between at least physiological collagen and pathological collagen from fibrosis, attributing, to each point, a spectral class defined by an algorithm classifying the spectra according to the spectral similarities % thereof, then attributing a status to each class by statistically comparing with a digital model of spectra; quantifying the relative surface area occupied by the points of each status; and recording the result.

Claims

1. A method for detecting and quantifying fibrosis, the method comprising the steps of:

positioning a fixed non-colored tissue sample on a support;

performing an infrared acquisition by sweeping points of said sample;

producing an infrared spectrum, wherein each acquired point is converted into at least one spectral image;

digital processing of the spectral image is carried out by discrimination between at least physiological collagen and pathological collagen from fibrosis by assigning to each point a spectral class defined by an algorithm classifying the spectra according to spectral similarities;

assigning a condition to each class by statistical comparison with a numerical model of spectra;

quantifying a relative surface area occupied by the points of each condition; and

recording a result.

2. The method, according to claim 1, wherein the step of performing said infrared acquisition is carried out by Fourier transform infrared spectroscopy.

3. The method, according to claim 1, wherein the step of digital processing comprises:

performing a spectral removal of the background noises from the support and from the detector and in the neutralization of the interferences of paraffin before discrimination between at least physiological collagen and pathological collagen.

4. The method, according to claim 1, wherein the step of digital processing comprises:

assigning four spectral classes, wherein conditions correspond to;

normal, fibrosis, non-fibrous collagen, and inflammation.

5. The method, according to claim 1, wherein the step of digital processing comprises:

said discrimination being carried out by comparing the value of the spectrum of each point with ranges of values of spectra of said model.

6. The method, according to claim 1, wherein the points of a same class are statistically quantified as a surface percentage of the total surface area of said sample in the step of digital processing.

7. The method, according to claim 1, wherein the step of recording comprises:

combining said result with said model before repeating said method with another sample.

8. A device for detecting and quantifying fibrosis, said device comprising:

means for receiving a support of a tissue sample;

means for acquisition by Fourier transform infrared spectroscopy, positioned facing said receiving means, said means acquisition converting the infrared spectrum produced by each acquired point into at least one spectral image;

means for digital processing of said spectral image by discrimination between at least physiological collagen and pathological collagen by assigning to each point a spectral class by statistical comparison with a numerical model of spectra with which said processing means are provided, said processing means quantifying the points having a similar spectral class; and

means for digitally recording the result of said processing means.

9. The device, according to claim 8, wherein said receiving means are motor-driven, said device further comprising:

means for controlling the displacements of said receiving means, so as to carry out a relative sweep of said support by said infrared acquisition means.