CN114628029A - Cervical absorption coefficient evaluation method and device based on HbR and SaO2 - Google Patents

Cervical absorption coefficient evaluation method and device based on HbR and SaO2 Download PDF

Info

Publication number
CN114628029A
CN114628029A CN202210532668.5A CN202210532668A CN114628029A CN 114628029 A CN114628029 A CN 114628029A CN 202210532668 A CN202210532668 A CN 202210532668A CN 114628029 A CN114628029 A CN 114628029A
Authority
CN
China
Prior art keywords
cervical
hbr
data
absorption coefficient
sao
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202210532668.5A
Other languages
Chinese (zh)
Other versions
CN114628029B (en
Inventor
钱志余
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Haifeng Medical Technology Co ltd
Original Assignee
Nanjing Haifeng Medical Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Haifeng Medical Technology Co ltd filed Critical Nanjing Haifeng Medical Technology Co ltd
Priority to CN202210532668.5A priority Critical patent/CN114628029B/en
Publication of CN114628029A publication Critical patent/CN114628029A/en
Application granted granted Critical
Publication of CN114628029B publication Critical patent/CN114628029B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0075Measuring 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/43Detecting, measuring or recording for evaluating the reproductive systems
    • A61B5/4306Detecting, measuring or recording for evaluating the reproductive systems for evaluating the female reproductive systems, e.g. gynaecological evaluations
    • A61B5/4318Evaluation of the lower reproductive system
    • A61B5/4331Evaluation of the lower reproductive system of the cervix
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Data Mining & Analysis (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Pure & Applied Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Computational Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Primary Health Care (AREA)
  • Theoretical Computer Science (AREA)
  • Gynecology & Obstetrics (AREA)
  • Algebra (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Operations Research (AREA)
  • Reproductive Health (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention relates to the technical field of cervical tissue curative effect evaluation, in particular to a cervical tissue curative effect evaluation method based on HbR and SaO2The method comprises the steps of firstly collecting a large amount of deoxyhemoglobin HbR and blood oxygen saturation SaO of various cervical tissues by the cervical absorption coefficient evaluation device2And absorption coefficient of corresponding type of cervical tissueµ a Data of synchronous change of the three; then, a plurality of groups of three-dimensional data relations are established through data fittingSystem equation to obtain final HbR and SaO2Andµ a a three-dimensional data relationship model. The invention establishes HbR and SaO2Andµ a the correlation between the different types of cervical tissue absorption coefficients can be calculated by measuring the deoxyhemoglobin and the blood oxygen saturation of the different types of cervical tissue. The method has great significance for screening the cervical tissue canceration and has important value for judging a cervical tissue canceration radiotherapy curative effect evaluation system.

Description

Cervical absorption coefficient evaluation method and device based on HbR and SaO2
Technical Field
The invention relates to the technical field of cervical tissue curative effect evaluation, in particular to a cervical absorption coefficient evaluation method and device based on HbR and SaO 2.
Background
There are many methods for evaluating the curative effect of cervical tissue lesion, and there are gynecological examination, imaging examination, pathological examination, tumor markers, etc. in clinical practice, among which the gynecological examination is the most common. The curative effect evaluation method is mostly based on large-scale instruments and equipment, and has the problems of complex operation, strong specialization and the like. The absorption coefficient is an important tissue optical parameter in biological tissue optics, has important application value in clinical medicine, and is an important parameter for detecting diseases and researching the metabolism condition of biological tissues. The absorption coefficient of the tissue is changed when the tissue is diseased, and the condition of disease treatment can be evaluated by detecting the change of the absorption coefficient, so that the effect of evaluating the curative effect is achieved.
The deoxyhemoglobin and the oxyhemoglobin saturation are collected according to the near infrared spectrum technology to estimate the absorption coefficient, so that the method is convenient, rapid and real-time and noninvasive, and the requirement of obtaining the absorption coefficient is met.
A great deal of research at present shows that the absorption coefficient is related to the deoxyhemoglobin, the deoxyhemoglobin has a certain relation with the blood oxygen saturation, and the deoxyhemoglobin, the blood oxygen saturation and the absorption coefficient are bound to be related to each other. At present, no effective relation model of blood oxygen saturation and deoxyhemoglobin to absorption coefficient exists in the cervical cancer treatment process.
Disclosure of Invention
The invention provides a cervical absorption coefficient evaluation method and device based on HbR and SaO2, and the accurate absorption coefficient can be obtained.
In order to realize the purpose of the invention, the adopted technical scheme is as follows: cervical absorption coefficient evaluation method based on HbR and SaO2, based on obtained deoxyhemoglobin HbR and blood oxygen saturation SaO of various types of cervical tissues2Real-time estimation of absorption coefficient of corresponding type of cervical tissueµ a The evaluation method comprises the following steps:
s1, collecting a large number of deoxyhemoglobin HbR and blood of various types of cervical tissues through a cervical absorption coefficient evaluation deviceOxygen saturation SaO2And absorption coefficient of corresponding type of cervical tissueµ a Data of synchronous change of the three;
s2, establishing multiple groups of cervical tissue deoxyhemoglobin HbR and blood oxygen saturation SaO by performing polynomial fitting on the multiple groups of data obtained in the step S12And absorption coefficient of cervical tissueµ a The determination coefficient R is obtained according to the three-dimensional data relation equation2Removing R2A data relation equation of less than 0.90;
s3, use satisfies R2More than or equal to 0.90, and averaging to obtain HbR and SaO2Andµ a a three-dimensional data relationship model;
s4, checking the established HbR and SaO2Andµ a three-dimensional data relational model, determining in three-dimensional data relational modelµ a And obtained in step S1µ a And (4) error range.
As an optimization of the present invention, in step S1, various types of data include HbR, SaO of various age stages, various lesion types, and healthy and normal cervical tissue2Andµ a and (6) data.
As an optimization scheme of the invention, in step S2, the three-dimensional data relation equation and the determination coefficient R of each group of data2Is obtained by a polynomial fitting method and eliminates a determining coefficient R2<0.90 equation of relationship, the number of data sets participating in the fitting iskSelecting a relation equation meeting each group of data to obtainjThe relation equation is planted to finally obtainj×kThree-dimensional data relation equation andj×ka determination coefficient R2,Z in Is the ith relational equationnA three-dimensional data relation equation is set;
Figure 92772DEST_PATH_IMAGE001
is as followsiThe first of the kind relation equationnA determinant of a relational equation derived from the group of data, wherein:i=1,2,3,…,j;n=1,2,3,...,k。
as an optimization scheme of the present invention, in step S3, the average decision coefficient calculation formula corresponding to the multiple sets of three-dimensional data relation equations is as follows:
Figure 206222DEST_PATH_IMAGE002
obtaining the highest average coefficient of decision
Figure 131453DEST_PATH_IMAGE003
To correspond to the firstiAnd (3) carrying out relational equation generation, averaging the selected relational equations to obtain a three-dimensional data relational model Z, wherein the calculation formula is as follows:
Figure 168810DEST_PATH_IMAGE004
wherein:i=1,2,3,…,j;n=1,2,3,…,k。
in order to realize the purpose of the invention, the adopted technical scheme is as follows: the device comprises a data acquisition module and a data storage and processing module, wherein the data acquisition module and the data storage and processing module are connected and used for acquiring the deoxyhemoglobin HbR and the blood oxygen saturation SaO of various types of cervical tissues2And absorption coefficient of corresponding type of cervical tissueµ a And HbR, SaO are established2Andµ a the three-dimensional data relationship model of (1).
As an optimized scheme of the invention, the data acquisition module comprises an optical fiber, an optical fiber spectrometer, a halogen light source and a disposable protective sleeve, the data storage and processing module comprises a PC, the disposable protective sleeve is worn at the front end of the optical fiber, the optical fiber is respectively connected with the optical fiber spectrometer and the halogen light source, the optical fiber spectrometer is connected with the PC, and the halogen light source is used for providing a broad-spectrum light source.
As an optimization scheme of the invention, the data acquisition module acquires squamous carcinoma of various grades,Adenocarcinoma, adenosquamous carcinoma, cervical erosion, low-grade and high-grade lesions and HbR and SaO of healthy cervical tissues2Andµ a the changing data is synchronized.
The invention has the positive effects that: 1) the invention establishes an effective HbR and SaO2Andµ a the three-dimensional data relation model can estimate the cervical absorption coefficient through the real-time acquired deoxyhemoglobin and blood oxygen saturation of cervical tissues, and obtains a more accurate absorption coefficient through a device which is convenient to operate and low in price;
2) the method has important reference value for real-time curative effect evaluation of cervical tissue lesion, important reference significance for establishing a multi-parameter real-time curative effect evaluation system of cervical tissue lesion, important significance for screening cervical tissue canceration and important value for judging a cervical tissue canceration radiotherapy curative effect evaluation system.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a flow chart of a cervical absorption coefficient evaluation method based on HbR and SaO 2;
FIG. 2 is a schematic diagram of the structure of a cervical absorption coefficient evaluating apparatus based on HbR and SaO 2;
fig. 3 is a graphical representation of predicted and actual value distributions for a set of test data for a cervical absorption coefficient estimation method based on HbR and SaO 2.
Wherein: 1. an optical fiber 2, an optical fiber spectrometer 3, a halogen light source 4, a PC 5, a disposable protective sleeve 6 and a cervical moving belt.
Detailed Description
As shown in FIGS. 1-2, the present invention discloses a cervical absorption coefficient evaluation method based on HbR and SaO2, based on the obtained deoxyhemoglobin HbR and blood oxygen saturation SaO of various types of cervical tissues2Real-time estimation of absorption coefficient of corresponding type of cervical tissueµ a The evaluation method comprises the following steps:
s1, collecting a large amount of deoxidation of various types of cervical tissues by the cervical absorption coefficient evaluation deviceHemoglobin HbRBlood oxygen saturation SaO2And absorption coefficient of corresponding type of cervical tissueµ a Data of synchronous change of the three;
s2, establishing multiple groups of cervical tissue deoxyhemoglobin HbR by performing polynomial fitting on the multiple groups of data obtained in the step S1Blood oxygen saturation degree SaO2And absorption coefficient of cervical tissueµ a The determination coefficient R is obtained according to the three-dimensional data relation equation2Removing R2A data relation equation of less than 0.90;
s3, use satisfies R2More than or equal to 0.90, and averaging to obtain HbR and SaO2Andµ a a three-dimensional data relationship model;
s4, checking the established HbR and SaO2Andµ a three-dimensional data relational model, method for determining the sameµ a And obtained in step S1µ a And (4) error range.
Wherein the coefficient R is determined2I.e. goodness of fit, determining the coefficient R2The fitting degree of the regression line to the sample data can be measured, and the value of the coefficient is determined to be between 0 and 1. Determining the coefficient R2The higher the fit of the model, the better, i.e. the stronger the ability of the model to interpret the dependent variable.
In step S1, various types of data include HbR, SaO of various age stages, various lesion types, and healthy normal cervical tissue2Andµ a and (4) data.
In step S2, the three-dimensional data relation equation and the determination coefficient R of each set of data2Is obtained by a polynomial fitting method and eliminates a determining coefficient R2<0.90 equation of relationship, the number of data sets participating in the fitting iskSelecting a relation equation meeting each group of data to obtainjThe relation equation is planted to finally obtainj×kA three-dimensional data relation equationj×kA determination coefficient R2Wherein: zinIs a firstiThe first of the kind relation equationnGroup three-dimensionalThe equation of the relationship of the data,
Figure 230307DEST_PATH_IMAGE005
is as followsiThe first of the kind relation equationnA determinant of a relational equation derived from the group of data, wherein:i=1,2,3,…,j;n=1,2,3,...,k。
in step S3, the average decision coefficient calculation formula corresponding to the plurality of sets of three-dimensional data relational equations is as follows:
Figure 576975DEST_PATH_IMAGE002
obtaining the highest average coefficient of decision
Figure 989501DEST_PATH_IMAGE003
To a corresponding secondiAnd (3) carrying out relational equation generation, averaging the selected relational equations to obtain a three-dimensional data relational model Z, wherein the calculation formula is as follows:
Figure 17500DEST_PATH_IMAGE006
wherein:i=1,2,3,…,j;n=1,2,3,…,k。
the device comprises a data acquisition module and a data storage and processing module, wherein the data acquisition module and the data storage and processing module are connected and used for acquiring the deoxyhemoglobin HbR and the blood oxygen saturation SaO of various cervical tissues2And absorption coefficient of corresponding type of cervical tissueµ a And HbR, SaO are established2Andµ a the three-dimensional data relationship model of (1).
The data acquisition module comprises an optical fiber 1, an optical fiber spectrometer 2, a halogen light source 3 and a disposable protective sleeve 5, the data storage and processing module comprises a PC (personal computer) 4, the disposable protective sleeve 5 is worn at the front end of the optical fiber 1, the optical fiber 1 is respectively connected with the optical fiber spectrometer 2 and the halogen light source 3, the optical fiber spectrometer 2 is connected with the PC 4, and the halogen light source 3 is used for providing a broad-spectrum light source.
The data acquisition module acquires HbR and SaO of various grades of squamous carcinoma, adenocarcinoma, adenosquamous carcinoma, cervical erosion, low-grade and high-grade lesions and healthy cervical tissues2Andµ a the changing data is synchronized.
Fig. 2 is a schematic diagram of a cervical absorption coefficient estimating apparatus based on HbR and SaO2, namely, a cervical absorption coefficient estimating apparatus according to an embodiment of the present invention; preferably, the optical fiber 1 is a Y-type double optical fiber, the optical fiber spectrometer 2 is an FX2000-EX optical fiber spectrometer, and the halogen light source 3 is an HL200-12 halogen light source. The data acquisition module is a light path building module, and the PC 4 is embedded with data acquisition software and can synchronously acquire HbR and SaO2Andµ a
before the experiment, the Y-shaped double optical fibers are inspected and sterilized, and the disposable protective sleeve 5 is worn to prevent cross infection. In the acquisition process, the front end of the optical fiber 1 slightly contacts the cervical moving belt 6 and slowly slides over the whole cervical moving belt 6, the cervical moving belt 6 contacts cervical tissues, and the spectral data is acquired and stored in the PC 4 to wait for subsequent data processing.
The obtained multiple groups of HbR and SaO2Andµ a fitting the data to obtain multiple groups of HbR and SaO2Andµ a three-dimensional data relation equation, screen R2A relational equation of not less than 0.90; selecting a relation equation which can meet each group of experiments, and averaging the decision coefficients corresponding to the same type of relation equation to obtain a relation equation corresponding to the highest decision coefficient; averaging the obtained relational equations corresponding to the highest multiple groups of decision coefficients to obtain the final fitting relational equation as follows:
Z=-0.089+0.0054X-5.83X 2 +3.073X 3 +0.054Y+0.0055Y 2 -0.0013Y 3
R2=0.9027, wherein:Xis a compound of HbR and a compound of HbR,Yis SaO2
Fig. 3 is a diagram illustrating a distribution curve of predicted values and actual values of a set of test data of the cervical absorption coefficient estimation method based on HbR and SaO2 according to the present invention.
Table 1 shows HbR, SaO of a set of test data for a cervical absorption coefficient evaluation method based on HbR and SaO2 provided by the present invention2Andµ a the three-dimensional data relational model examines the absolute error examples.
Will be in factµ a With HbR, SaO2Andµ a calculated by three-dimensional data relational model formulaµ a Making a comparison of actualµ a The method is obtained by matching the light path building module with data acquisition software, and corresponding errors are obtained to test the reliability of the three-dimensional data relation model. By calculation, HbR and SaO in the invention2Andµ a the maximum absolute error of the three-dimensional data relational model is 0.340382079, the minimum absolute error is-0.294643938, and the mean absolute error is-0.007349398, so that the HbR and SaO are shown2Andµ a the error of the three-dimensional data relation model is in a credible range. One set of error test results is shown in table 1.
TABLE 1
Actual value Prediction value Absolute error
0.150677083 0.146918451 -0.024944951
0.184966868 0.247926275 0.340382079
0.101745889 0.10153976 -0.002025922
0.144126855 0.14204834 -0.014421427
0.120885357 0.120738611 -0.001213923
0.109891541 0.112054511 0.019682767
0.071693553 0.069963714 -0.024128236
0.095516238 0.097616394 0.021987421
0.102477595 0.102981187 0.004914169
0.156904176 0.152541014 -0.027807814
0.097560571 0.100008025 0.025086508
0.106230447 0.107742583 0.014234492
0.148845529 0.143905241 -0.033190706
0.100168949 0.107824953 0.076430907
0.093880194 0.095667626 0.019039502
0.08717164 0.08759113 0.004812234
0.100576219 0.101227697 0.006477457
0.091262917 0.092288819 0.01124117
0.114579481 0.114917416 0.002949351
0.115925783 0.116897768 0.00838455
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. The cervical absorption coefficient evaluation method based on HbR and SaO2 is characterized in that: according to the obtained deoxyhemoglobin HbR and blood oxygen saturation SaO of various types of cervical tissues2Real-time estimation of absorption coefficient of corresponding type of cervical tissueµ a The evaluation method comprises the following steps:
s1, collecting a large number of deoxyhemoglobin HbR and blood oxygen saturation SaO of various cervical tissues by the cervical absorption coefficient evaluation device2And absorption coefficient of corresponding type of cervical tissueµ a Data of synchronous change of the three;
s2, establishing multiple groups of cervical tissue deoxyhemoglobin HbR and blood oxygen saturation SaO by performing polynomial fitting on the multiple groups of data obtained in the step S12And absorption coefficient of cervical tissueµ a The determination coefficient R is obtained according to the three-dimensional data relation equation2Removing R2A data relation equation of less than 0.90;
s3, use satisfies R2More than or equal to 0.90, and averaging to obtain HbR and SaO2Andµ a a three-dimensional data relationship model;
s4, checking the established HbR and SaO2Andµ a three-dimensionalData relation model, determining in three-dimensional data relation modelµ a And obtained in step S1µ a And (4) error range.
2. The cervical absorption coefficient estimation method based on HbR and SaO2 according to claim 1, wherein: in step S1, various types of data include HbR, SaO of various age stages, various lesion types, and healthy normal cervical tissue2Andµ a and (6) data.
3. The cervical absorption coefficient estimation method based on HbR and SaO2 according to claim 2, wherein: in step S2, the three-dimensional data relation equation and the determination coefficient R of each set of data2Is obtained by a polynomial fitting method and eliminates a determining coefficient R2<0.90 equation of relationship, the number of data sets participating in the fitting iskSelecting a relation equation meeting each group of data to obtainjThe relation equation is planted to finally obtainj×kA three-dimensional data relation equationj×kA determination coefficient R2,Z in Is as followsiThe first of the kind relation equationnA three-dimensional data relation equation is set,
Figure 28367DEST_PATH_IMAGE001
is as followsiFirst of a kind of relation equationnA determinant of a relational equation derived from the group of data, wherein:i=1,2,3,…,j;n=1,2,3,...,k。
4. the cervical absorption coefficient estimation method based on HbR and SaO2 of claim 3, wherein: in step S3, the average decision coefficient calculation formula corresponding to the plurality of sets of three-dimensional data relational equations is as follows:
Figure 218040DEST_PATH_IMAGE002
obtaining the highest average coefficient of decision
Figure 180180DEST_PATH_IMAGE003
To a corresponding secondiAnd (3) carrying out relational equation generation, averaging the selected relational equations to obtain a three-dimensional data relational model Z, wherein the calculation formula is as follows:
Figure 746291DEST_PATH_IMAGE004
wherein:i=1,2,3,…,j;n=1,2,3,…,k。
5. apparatus for assessment using the cervical absorption coefficient assessment method based on HbR and SaO2 according to any one of claims 1 to 4, wherein: the device comprises a data acquisition module and a data storage and processing module, wherein the data acquisition module and the data storage and processing module are connected and used for acquiring the deoxyhemoglobin HbR and the blood oxygen saturation SaO of various cervical tissues2And absorption coefficient of corresponding type of cervical tissueµ a And HbR, SaO are established2Andµ a the three-dimensional data relationship model of (1).
6. The apparatus for evaluating the cervical absorption coefficient evaluation method based on HbR and SaO2 of claim 5, wherein: the data acquisition module comprises an optical fiber (1), an optical fiber spectrometer (2), a halogen light source (3) and a disposable protective sleeve (5), the data storage and processing module comprises a PC (personal computer) machine (4), the disposable protective sleeve (5) is worn at the front end of the optical fiber (1), the optical fiber (1) is respectively connected with the optical fiber spectrometer (2) and the halogen light source (3), the optical fiber spectrometer (2) is connected with the PC (4), and the halogen light source (3) is used for providing a broad-spectrum light source.
7. The apparatus for evaluating the cervical absorption coefficient evaluation method based on HbR and SaO2 of claim 6, wherein: the data acquisition module acquires various grades of squamous carcinoma, adenocarcinoma,Adenosquamous carcinoma, cervical erosion, low-grade and high-grade pathological changes and HbR and SaO of healthy cervical tissues2Andµ a the changing data is synchronized.
CN202210532668.5A 2022-05-17 2022-05-17 Cervical absorption coefficient evaluation method and device based on HbR and SaO2 Active CN114628029B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210532668.5A CN114628029B (en) 2022-05-17 2022-05-17 Cervical absorption coefficient evaluation method and device based on HbR and SaO2

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210532668.5A CN114628029B (en) 2022-05-17 2022-05-17 Cervical absorption coefficient evaluation method and device based on HbR and SaO2

Publications (2)

Publication Number Publication Date
CN114628029A true CN114628029A (en) 2022-06-14
CN114628029B CN114628029B (en) 2022-08-12

Family

ID=81907232

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210532668.5A Active CN114628029B (en) 2022-05-17 2022-05-17 Cervical absorption coefficient evaluation method and device based on HbR and SaO2

Country Status (1)

Country Link
CN (1) CN114628029B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103282765A (en) * 2011-01-04 2013-09-04 皇家飞利浦电子股份有限公司 An apparatus for optical analysis of an associated tissue
CN109924987A (en) * 2019-03-14 2019-06-25 浙江荷清柔性电子技术有限公司 Scaling method, system and the readable storage medium storing program for executing of reflectance oximetry
US20200405205A1 (en) * 2019-06-26 2020-12-31 Phoenix Electric Co., Ltd. Method for measuring blood oxygen saturation

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103282765A (en) * 2011-01-04 2013-09-04 皇家飞利浦电子股份有限公司 An apparatus for optical analysis of an associated tissue
CN109924987A (en) * 2019-03-14 2019-06-25 浙江荷清柔性电子技术有限公司 Scaling method, system and the readable storage medium storing program for executing of reflectance oximetry
US20200405205A1 (en) * 2019-06-26 2020-12-31 Phoenix Electric Co., Ltd. Method for measuring blood oxygen saturation

Also Published As

Publication number Publication date
CN114628029B (en) 2022-08-12

Similar Documents

Publication Publication Date Title
CN113194820B (en) Method and system for providing cancer diagnosis information based on liquid biopsy by means of exosome
P. Santos et al. Improving clinical diagnosis of early-stage cutaneous melanoma based on Raman spectroscopy
EP1448092B1 (en) Optical transillumination and reflectance spectroscopy to quantify disease risk
JP2004526141A (en) A method for processing broadband elastic scattering spectra obtained from tissue.
CN103300829B (en) Biological autofluorescence tomography method based on iteration reweighting
CN110946552B (en) Cervical cancer pre-lesion screening method combining spectrum and image
Busch et al. Computer aided automatic detection of malignant lesions in diffuse optical mammography
CN116840214A (en) Method for diagnosing brain tumor and cerebral infarction
US20080064979A1 (en) System and method for prebalancing electrical properties to diagnose disease
CN111833330B (en) Intelligent lung cancer detection method and system based on fusion of image and machine olfaction
Zheng et al. Hyperspectral wide gap second derivative analysis for in vivo detection of cervical intraepithelial neoplasia
CN116030032A (en) Breast cancer analysis equipment, system and storage medium based on Raman spectrum data
Li et al. Edge detection of heterogeneity in transmission images based on frame accumulation and multiband information fusion
CN114628029B (en) Cervical absorption coefficient evaluation method and device based on HbR and SaO2
CN106570325A (en) Partial-least-squares-based abnormal detection method of mammary gland cell
Rubina et al. Raman spectroscopic study on prediction of treatment response in cervical cancers
CN116936099A (en) System, method, equipment and medium for predicting osteosarcoma curative effect
CN114947744B (en) Cervical scattering coefficient real-time evaluation method and device based on blood flow and wave band slope
CN113261953B (en) Multispectral surface diagnosis measuring method
Taylor et al. Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography
Odry et al. Automated airway evaluation system for multi-slice computed tomography using airway lumen diameter, airway wall thickness and broncho-arterial ratio
Liu et al. A combined autofluorescence and diffuse reflectance spectroscopy for mucosa tissue diagnosis: Dual‐distance system and data‐driven decision
Kim et al. Different trends of teeth marks according to qi blood yin yang deficiency pattern in patients with chronic fatigue
TWI616183B (en) Non-invasive skin image detection method
Yim et al. Near‐infrared spectroscopy as a novel method of ex vivo bladder cancer tissue characterisation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant