CN107361742B - Method for acquiring brain glioma grade standard map - Google Patents
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- CN107361742B CN107361742B CN201710485904.1A CN201710485904A CN107361742B CN 107361742 B CN107361742 B CN 107361742B CN 201710485904 A CN201710485904 A CN 201710485904A CN 107361742 B CN107361742 B CN 107361742B
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- 201000007983 brain glioma Diseases 0.000 title claims abstract description 66
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000001237 Raman spectrum Methods 0.000 claims abstract description 43
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 41
- 210000005013 brain tissue Anatomy 0.000 claims abstract description 27
- 150000002632 lipids Chemical class 0.000 claims abstract description 17
- 102000004169 proteins and genes Human genes 0.000 claims abstract description 16
- 108090000623 proteins and genes Proteins 0.000 claims abstract description 16
- 206010018338 Glioma Diseases 0.000 claims abstract description 12
- 208000032612 Glial tumor Diseases 0.000 claims abstract description 11
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 239000000523 sample Substances 0.000 claims abstract description 8
- 230000001678 irradiating effect Effects 0.000 claims abstract description 7
- 238000001228 spectrum Methods 0.000 claims abstract description 5
- 230000003595 spectral effect Effects 0.000 claims description 7
- 238000001356 surgical procedure Methods 0.000 abstract description 11
- 238000011065 in-situ storage Methods 0.000 abstract description 10
- 238000003745 diagnosis Methods 0.000 abstract description 9
- 238000012545 processing Methods 0.000 abstract description 7
- 210000004556 brain Anatomy 0.000 abstract description 4
- 230000036285 pathological change Effects 0.000 abstract description 3
- 231100000915 pathological change Toxicity 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 abstract 1
- 238000001574 biopsy Methods 0.000 description 12
- 206010028980 Neoplasm Diseases 0.000 description 10
- 238000003672 processing method Methods 0.000 description 3
- 238000005481 NMR spectroscopy Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000001575 pathological effect Effects 0.000 description 2
- 102000007592 Apolipoproteins Human genes 0.000 description 1
- 108010071619 Apolipoproteins Proteins 0.000 description 1
- 208000005623 Carcinogenesis Diseases 0.000 description 1
- 102000004895 Lipoproteins Human genes 0.000 description 1
- 108090001030 Lipoproteins Proteins 0.000 description 1
- 206010061309 Neoplasm progression Diseases 0.000 description 1
- 150000001413 amino acids Chemical class 0.000 description 1
- 230000036952 cancer formation Effects 0.000 description 1
- 231100000504 carcinogenesis Toxicity 0.000 description 1
- 238000002595 magnetic resonance imaging Methods 0.000 description 1
- 125000002496 methyl group Chemical group [H]C([H])([H])* 0.000 description 1
- 125000001570 methylene group Chemical group [H]C([H])([*:1])[*:2] 0.000 description 1
- 210000004498 neuroglial cell Anatomy 0.000 description 1
- 238000013421 nuclear magnetic resonance imaging Methods 0.000 description 1
- 102000039446 nucleic acids Human genes 0.000 description 1
- 108020004707 nucleic acids Proteins 0.000 description 1
- 150000007523 nucleic acids Chemical class 0.000 description 1
- 210000000278 spinal cord Anatomy 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000005751 tumor progression Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- A61B5/004—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
- A61B5/0042—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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Abstract
The invention discloses a method for acquiring a brain glioma grade standard chart, which comprises the steps of irradiating brain tissue samples with different glioma grades by using a probe of a Raman detection system, exciting Raman signals, and acquiring Raman spectra by using a spectrum analyzer; then comparing the Raman peak values corresponding to the protein and the lipid in the Raman spectrum of each brain glioma grade to obtain the ratio of each grade; and respectively taking the brain glioma grade and the ratio of each grade as an abscissa and an ordinate to obtain a brain glioma grade standard chart. The grade standard map of the brain glioma can assist in real-time in-situ diagnosis of brain tissues. In the brain surgery process, the probe of the Raman system is used for irradiating the brain tissue of a patient, data processing is carried out after the Raman spectrum is obtained, the obtained result is compared with the standard diagram, the pathological change condition of the brain tissue of the patient can be obtained, the real-time in-situ diagnosis of the brain glioma is realized, the grade of the brain glioma can be accurately obtained, the surgery time can be shortened, and the risk is reduced.
Description
Technical Field
The invention relates to a method for acquiring a brain glioma grade standard map.
Background
Brain gliomas are the most common primary craniocerebral tumors arising from brain and spinal cord glial cell carcinogenesis.
The diagnosis of brain gliomas plays a crucial role in the treatment of brain gliomas. Currently, common diagnostic modalities include nuclear magnetic resonance, tissue biopsy, and the like.
Tumor information, including local information, size, and biochemical components at the molecular level of the tumor, is typically acquired by magnetic resonance imaging, and is prepared preoperatively for tumor surgery. However, because there is a certain time difference between the nuclear magnetic resonance and the operation, there is a certain deviation in the tissue, contour and position of the tumor during the operation, and the actual condition of the tumor during the operation has a certain deviation from the tumor information of the nuclear magnetic resonance imaging.
Tissue biopsy is the biopsy of brain tissue, the biopsy process is based on the visualization of tissue structures and the morphology of biopsy technology, and the biopsy result strongly depends on the experience of doctors. During operation, after tumor is removed, uncut brain tissue is taken for biopsy, a doctor waits for the biopsy result, if the biopsy result is normal brain tissue, the operation is ended, if the biopsy result is pathological brain tissue, part of the brain tissue is continuously removed, and whether the pathological tissue is completely removed is generally determined through tissue biopsy. However, waiting for the biopsy results is relatively long, increasing the overall time of the procedure and also risking the patient to wait.
How to realize the real-time in-situ diagnosis of brain tissue, which not only can improve the accuracy of the operation, but also can shorten the operation time, is a technical problem that the technicians in the field need to solve urgently.
Disclosure of Invention
The invention aims to provide a method for acquiring a brain glioma grade standard map, which can acquire the brain glioma grade standard map and can assist in real-time in-situ diagnosis of brain tissues.
In order to achieve the technical purpose, the invention provides a method for acquiring a brain glioma grade standard map, which comprises the following steps:
step S1, irradiating brain tissue samples with different glioma grades by using a probe of a Raman detection system, exciting Raman signals, and obtaining Raman spectra by a spectrum analyzer;
step S2, comparing Raman peaks respectively corresponding to protein and lipid in the Raman spectrum of each brain glioma grade to obtain a ratio of each grade;
and step S3, taking the brain glioma grade and the ratio of each grade as the abscissa and the ordinate respectively to obtain a brain glioma grade standard chart.
Optionally, in step S2, in the raman spectrum of each brain glioma grade, the wave numbers corresponding to the proteins include 1588cm in each case-1And 2934cm-1Spectral band centered on, and wavenumbers corresponding to lipids including 1440cm each-1And 2854cm-1The central spectral band.
Optionally, in step S2, in the raman spectrum of each brain glioma grade, the wave number is 1588cm-1Corresponding Raman peak and wave number 1440cm-1And comparing the corresponding Raman peak values to obtain the ratio of each grade.
Optionally, in step S2, in the raman spectrum of each brain glioma grade, the wave number is 2934cm-1Corresponding Raman peak value and wave number of 2854cm-1And comparing the corresponding Raman peak values to obtain the ratio of each grade.
According to the method for acquiring the brain glioma grade standard graph, provided by the invention, a probe of a Raman detection system is utilized to irradiate brain tissue samples with different glioma grades and excite Raman signals, and a Raman spectrum is obtained by a spectrum analyzer; then comparing the Raman peak values corresponding to the protein and the lipid in the Raman spectrum of each brain glioma grade to obtain the ratio of each grade; and respectively taking the brain glioma grade and the ratio of each grade as an abscissa and an ordinate to obtain a brain glioma grade standard chart.
The Raman spectra of brain glioma tissues of all levels are obtained by detecting brain tissue samples of different glioma levels, and the comparison of the Raman spectra of glioma and the Raman spectra of normal brain tissues by the applicant shows that the ratio of the peak values of protein and lipid in the brain glioma is changed to a certain extent, and the ratio is increased along with the increase of the brain glioma levels. As the number of samples in the experiment increased, a brain glioma grade standard plot was obtained by data processing of protein and lipid peaks in the raman spectra. The brain glioma grade standard graph can assist in real-time in-situ diagnosis of brain tissues, and the standard graph and a processing method for peak data in a Raman spectrum are arranged in a Raman detection system or Raman detection equipment; in addition, the standard chart can be used as auxiliary teaching or auxiliary experimental data, and can be used as standard data for laboratory personnel or researchers to refer to. In the brain surgery process, the probe of the Raman system is used for irradiating the brain tissue of a patient, data processing is carried out after the Raman spectrum is obtained, the obtained result is compared with the standard graph, the pathological change condition of the brain tissue of the patient can be obtained, real-time in-situ diagnosis of the brain glioma is realized, the grade of the brain glioma can be accurately obtained, the surgery accuracy is improved, the surgery time can be shortened, and the surgery risk is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a Raman spectrum of a grade 0 brain glioma;
FIG. 2 is a Raman spectrum of a grade I brain glioma;
FIG. 3 is a Raman spectrum of a grade II brain glioma;
FIG. 4 is a Raman spectrum of a grade III brain glioma;
FIG. 5 is a Raman spectrum of grade IV brain glioma;
FIG. 6 is a graph of a first brain glioma grade standard provided by the present invention;
FIG. 7 is a second exemplary brain glioma grade scale plot provided herein.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Referring to fig. 1 to 5, fig. 1 is a raman spectrum of a grade 0 brain glioma, fig. 2 is a raman spectrum of a grade I brain glioma, fig. 3 is a raman spectrum of a grade II brain glioma, fig. 4 is a raman spectrum of a grade III brain glioma, and fig. 5 is a raman spectrum of a grade IV brain glioma.
In a specific embodiment, the invention provides a method for obtaining a brain glioma grade standard map, which comprises the following steps:
step S1, irradiating brain tissue samples with different glioma grades by using a probe of a Raman detection system, exciting Raman signals, and obtaining Raman spectra by a spectrum analyzer;
step S2, comparing Raman peaks respectively corresponding to protein and lipid in the Raman spectrum of each brain glioma grade to obtain a ratio of each grade;
and step S3, taking the brain glioma grade and the ratio of each grade as the abscissa and the ordinate respectively to obtain a brain glioma grade standard chart.
The raman spectra of brain glioma tissues of different grades are obtained by detecting brain tissue samples of different glioma grades, as shown in fig. 1 to 5, the raman spectra are respectively from 0 grade to IV grade of the brain glioma, the abscissa in the figures represents the wave number and the intensity value of the raman spectrum of the ordinate.
In each raman spectrum, the intensity ratio of methyl groups to methylene groups, which correspond to proteins and lipids, gradually increases. In observations of different grades of glioma tissue, it was determined that the peak values of protein and lipid in the raman spectrum gradually increase in different grades of glioma. In normal brain tissue, lipid content is about 15% higher than protein content; however, in grade IV gliomas, the lipid content is 18% lower than the protein content. This study revealed a relationship between lipid and protein changes and tumor progression.
As the number of samples in the experiment increased, a brain glioma grade standard plot was obtained by data processing of protein and lipid peaks in the raman spectra. The brain glioma grade standard graph can assist in real-time in-situ diagnosis of brain tissues, and the standard graph and a processing method for peak data in a Raman spectrum are arranged in a Raman detection system or Raman detection equipment; in addition, the standard chart can be used as auxiliary teaching or auxiliary experimental data, and can be used as standard data for laboratory personnel or researchers to refer to.
In the brain surgery process, the probe of the Raman system is used for irradiating the brain tissue of a patient, data processing is carried out after the Raman spectrum is obtained, the obtained result is compared with the standard graph, the pathological change condition of the brain tissue of the patient can be obtained, real-time in-situ diagnosis of the brain glioma is realized, the grade of the brain glioma can be accurately obtained, the surgery accuracy is improved, the surgery time can be shortened, and the surgery risk is reduced.
In a more specific embodiment, in step S2, in the raman spectrum of each brain glioma grade, the wave numbers corresponding to the proteins are included at 1588cm each-1And 2934cm-1Spectral band centered on, and wavenumbers corresponding to lipids including 1440cm each-1And 2854cm-1The central spectral band.
Wave number of 1588cm-1The centered spectral band is mainly due to the contribution of the vibrational bonds of amino acids and nucleic acids in proteins at 2934cm-1The central spectral band is mainly derived from the lipoprotein, apolipoprotein in proteins; wave number at 1440cm-1And 2854cm-1The central spectral band is mainly due to the saturation bonds in the lipids.
Referring to fig. 6 and 7, fig. 6 is a first brain glioma grade standard chart provided by the present invention, and fig. 7 is a second brain glioma grade standard chart provided by the present invention. In both fig. 6 and fig. 7, the brain glioma grade is plotted on the abscissa, and the ratio of each grade is plotted on the ordinate.
In the first preferred embodiment, in step S2, in the raman spectrum of each brain glioma grade, the wave number is 1588cm-1Corresponding Raman peak and wave number 1440cm-1And comparing the corresponding Raman peak values to obtain the ratio of each grade.
The standard chart of FIG. 6 can be obtained by this processing method, wherein the abscissa is tumor grade and the ordinate is wave number 1588cm-1Corresponding Raman peak and wave number 1440cm-1The corresponding ratio of the raman peaks, fig. 6, can be used as a reference standard for in situ real-time monitoring of brain tissue.
In a second particular embodiment, inIn step S2, in the Raman spectrum of each glioma grade, the wave number is 2934cm-1Corresponding Raman peak value and wave number of 2854cm-1And comparing the corresponding Raman peak values to obtain the ratio of each grade.
By this processing, the standard chart of FIG. 7, in which the abscissa is the tumor grade and the ordinate is the wave number of 2934cm, was obtained-1Corresponding Raman peak value and wave number of 2854cm-1The corresponding ratio of the raman peaks, fig. 7, can be used as a reference standard for in situ real-time monitoring of brain tissue.
The wave number was 1588cm-1、2934cm-1、1440cm-1And 2854cm-1The raman peak value of (a) is an intensity value of a raman peak corresponding to a spectral band with each wave number as a center, and the intensity of the raman peak corresponding to the positive and negative shifts of 2 wave numbers from the center of the wave number can be used for data processing similar to the above method, and a corresponding standard graph can also be obtained, and the method can also be applied in the present application.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (1)
1. A method for acquiring a brain glioma grade standard map is characterized by comprising the following steps:
s1, irradiating brain tissue samples with different glioma grades by using a probe of a Raman detection system, exciting Raman signals, and obtaining Raman spectra by a spectrum analyzer;
s2, comparing Raman peaks corresponding to protein and lipid in Raman spectra of each brain glioma grade to obtain a ratio of each grade;
s3, taking the brain glioma grade and the ratio of each grade as the abscissa and the ordinate respectively to obtain a brain glioma grade standard chart;
in step (b)In step S2, in the Raman spectrum of each brain glioma grade, the wave numbers corresponding to the proteins are 1588cm in length-1And 2934cm-1Spectral band centered on, and wavenumbers corresponding to lipids including 1440cm each-1And 2854cm-1A centered spectral band;
in Raman spectrum of each brain glioma grade, wave number is 1588cm-1Corresponding Raman peak and wave number 1440cm-1Comparing the corresponding Raman peak values to obtain the ratio of each grade; wave number 2934cm-1Corresponding Raman peak value and wave number of 2854cm-1And comparing the corresponding Raman peak values to obtain the ratio of each grade.
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| CN101470077A (en) * | 2008-05-14 | 2009-07-01 | 中国检验检疫科学研究院 | Olive oil fast detection method adopting Raman spectrum characteristic peak signal intensity ratio |
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| CN103645170A (en) * | 2013-12-03 | 2014-03-19 | 北京航空航天大学 | Device for detecting tumor characters by Raman spectrum |
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