Methods and systems for performing tissue classification using multi-channel tr-lifs and multivariate analysis

Patent metadata

Field	Value
Publication number	US-2017367583-A1
Application number	US-201715683277-A
Country	US
Kind code	A1
Filing date	Aug 22, 2017
Priority date	Oct 30, 2015
Publication date	Dec 28, 2017
Grant date	—

Abstract

Described herein are methods and systems for analyzing a sample by applying time resolved laser induced fluorescence spectroscopy to the sample to measure lifetime time decay profile data relating to the sample, and applying multivariate analysis to process the data so as to classify a sample as, for example, normal or abnormal. The sample may be cells, fluid or tissue from any organ. The sample may be in vitro or in vivo. The data may be obtained in situ or in vitro.

First claim

What is claimed is:

1 . A method for analysis of tissue, comprising:
applying time resolved laser induced fluorescence spectroscopy to a tissue, to measure lifetime time decay profile data relating to the tissue, wherein the lifetime time decay profile data is measured at a plurality of specific emission wavelength bands; normalizing the lifetime time decay profile data for each of the plurality of specific emission wavelength bands; concatenating the normalized lifetime time decay profile data for each of the plurality of specific emission wavelength bands, to generate a multi-channel fluorescence decay response curve; applying multivariate curve resolution to the generated multi-channel fluorescence decay response curve, to generate a plurality of decay response signature components across the plurality of specific emission wavelength bands and corresponding intensity data; performing a biopsy of the tissue to generate biopsy data; determining, using the biopsy data and the intensity data, a tissue classification type indicated by the intensity data.

2 . The method of claim 1 , further comprising:
applying the method of claim 1 to a plurality of tissues, to generate a database of known classification data, the known classification data correlating the intensity data and the tissue classification type for each of the plurality of tissues.

3 . The method of claim 2 , further comprising:
applying time resolved laser induced fluorescence spectroscopy to a second tissue, to measure lifetime time decay profile data relating to the second tissue, wherein the lifetime time decay profile data is measured at a plurality of specific emission wavelength bands; normalizing the lifetime time decay profile data of the second tissue for each of the plurality of specific emission wavelength bands; concatenating the normalized lifetime time decay profile data for each of the plurality of specific emission wavelength bands, to generate a multi-channel fluorescence decay response curve; applying least squares analysis to the generated multi-channel fluorescence decay response curve, for each of the specific emission wavelength bands, using the generated plurality of decay response signature components, to quantify the amount of each decay response signature component; classifying the second tissue by comparing the amount of each decay response signature component to the database of known classification data.

4 . The method of claim 1 , wherein the plurality of specific emission wavelength bands comprise six specific wavelength bands.

5 . The method of claim 4 , wherein the six specific wavelength bands comprise 365-410 nanometers, 410-450 nanometers, 450-480 nanometers, 480-550 nanometers, 550-600 nanometers, and above 600 nanometers.

6 . The method of claim 1 , wherein the tissue is one of brain tissue, breast tissue, colon tissue, skin tissue, or lung tissue.

7 . The method of claim 1 , wherein the tissue is brain tissue, and the tissue classification type comprises normal cortex, white matter, necrotic tissue, or glioblastoma.

8 . The method of claim 3 , wherein the second tissue is living human tissue, and the method is applied to the second tissue during a surgical operation to classify the second tissue before completion of the surgical operation.

9 . The method of claim 1 , wherein the tissue is in vivo.

10 . The method of claim 1 , wherein the tissue is ex vivo.

11 . The method of claim 3 , wherein the least squares analysis comprises classical least squares analysis.

12 . The method of claim 3 , wherein the least squares analysis comprises augmented classical least squares analysis.

13 . A system for diagnosis of human tissue, comprising:
a database of human tissue data comprising a plurality of tissue classification types and a plurality of decay profile signatures and corresponding intensities; a scope for collecting time resolved laser induced fluorescence spectroscopy data from a human tissue; a processor configured to receive time resolved laser induced fluorescence spectroscopy data from the scope, determine lifetime decay profile data from the time resolved laser induced fluorescence spectroscopy data, and generate decay profile signature data and corresponding intensity data based on the lifetime decay profile data; wherein the processor communicates with the database to identify the tissue classification type according to the intensity data.

14 . The system of claim 13 , wherein the tissue is in vivo.

15 . The system of claim 13 , wherein the tissue is ex vivo.

16 . The system of claim 13 , wherein the decay profile signature data is determined at a plurality of specific emission wavelength bands.

17 . The system of claim 16 , wherein the plurality of specific emission wavelength bands comprise six specific wavelength bands.

18 . The system of claim 17 , wherein the six specific wavelength bands comprise 365-410 nanometers, 410-450 nanometers, 450-480 nanometers, 480-550 nanometers, 550-600 nanometers, and above 600 nanometers.

19 . The system of claim 13 wherein the human tissue is brain tissue, and the plurality of tissue classification types comprise normal cortex, white matter, necrotic tissue, or glioblastoma.

20 . A method for identifying human tissue according to spectral information, using a computing system, the computing system comprising one or more processors communicatively coupled to a network database, the method comprising:
applying time resolved laser induced fluorescence spectroscopy to the human tissue, to measure lifetime time decay profile data relating to the human tissue, wherein the lifetime time decay profile data is measured at a plurality of specific emission wavelength bands; normalizing the lifetime time decay profile data for each of the plurality of specific emission wavelength bands; concatenating the normalized lifetime time decay profile data for each of the plurality of specific emission wavelength bands, to generate a multi-channel fluorescence decay response curve; applying a curve fitting technique, using the one or more processors, to the generated multi-channel fluorescence decay response curve, to determine intensity data corresponding to a plurality of decay response signature components; sending, using the one or more processors, a request to the network database to identify the human tissue, the request containing information relating to at least one of the plurality of decay response signature components and corresponding intensity data; receiving, from the network database, a response to the request, the response indicating the tissue classification type corresponding to the human tissue according to the intensity data.

21 . The method of claim 20 , wherein the human tissue is in vivo.

22 . The method of claim 20 , wherein the human tissue is ex vivo.

23 . The method of claim 20 , wherein the plurality of specific emission wavelength bands comprise six specific wavelength bands.

24 . The method of claim 23 , wherein the six specific wavelength bands comprise 365-410 nanometers, 410-450 nanometers, 450-480 nanometers, 480-550 nanometers, 550-600 nanometers, and above 600 nanometers.

25 . The method of claim 20 , wherein the one or more processors are communicatively coupled to the network database via the Internet.

26 . The method of claim 20 , wherein the one or more process

Assignees

• Cedars Sinai Medical Center

Inventors

• Black Keith L
• Baker Michael
• Jones Howland
• Butte Pramod

Classifications

• A61B5/0071 Primary

  by measuring fluorescence emission · CPC title

• A61B5/0075 Primary

  by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy (A61B5/0071 takes precedence) · CPC title

• A61B5/00

  Measuring for diagnostic purposes (radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00); Identification of persons · CPC title

• G01N2201/129

  Using chemometrical methods · CPC title

• G06F18/24

  Classification techniques · CPC title