CN113945558A - Method for judging myeloproliferation degree - Google Patents

Method for judging myeloproliferation degree Download PDF

Info

Publication number
CN113945558A
CN113945558A CN202111148519.0A CN202111148519A CN113945558A CN 113945558 A CN113945558 A CN 113945558A CN 202111148519 A CN202111148519 A CN 202111148519A CN 113945558 A CN113945558 A CN 113945558A
Authority
CN
China
Prior art keywords
bone marrow
area
marrow smear
red blood
degree
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
CN202111148519.0A
Other languages
Chinese (zh)
Other versions
CN113945558B (en
Inventor
黄震
丰俊林
***
陆涛
陆炬
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.)
Hangzhou Zhiwei Information Technology Co ltd
Original Assignee
Hangzhou Zhiwei Information 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 Hangzhou Zhiwei Information Technology Co ltd filed Critical Hangzhou Zhiwei Information Technology Co ltd
Priority to CN202111148519.0A priority Critical patent/CN113945558B/en
Publication of CN113945558A publication Critical patent/CN113945558A/en
Application granted granted Critical
Publication of CN113945558B publication Critical patent/CN113945558B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The invention relates to a method for judging the myeloproliferation degree, which comprises the following steps: when the bone marrow smear reaches a designated position, starting a gray point camera, and automatically scanning the bone marrow smear by the electronic eyepiece; storing all the pictures of the bone marrow smear collected by the electronic eyepiece for later use; repeatedly collecting a large number of picture samples of the bone marrow smear; dividing the collected picture samples according to the thickness and the uniformity of the bone marrow cells, and generating an algorithm for calculating the thickness and the uniformity of the bone marrow smear according to the divided pictures; collecting a whole picture of the bone marrow smear again; calculating the thickness and the uniformity of the bone marrow smear by using an algorithm, and selecting a region with moderate bone marrow cell thickness and uniform distribution in the bone marrow smear; and respectively calculating the areas of all mature red blood cells and nucleated cells in the frame selection area, calculating the area ratio of the mature red blood cells to the nucleated cells, and judging the myeloproliferation degree by utilizing the area ratio of the red blood cells to the nucleated cells in the bone marrow.

Description

Method for judging myeloproliferation degree
Technical Field
The invention belongs to the field of artificial intelligent medical diagnosis, and particularly relates to a method for judging the myeloproliferation degree.
Background
Myelocytomorphological examination is one of the key diagnostic means in hematopathology, and is commonly used for diagnosing various diseases, including leukemia, multiple myeloma, lymphoma, anemia, pancytopenia and the like, while myeloproliferation degree judgment is an important content in myeloinspection, and has important value for diagnosing diseases with hyperproliferation (such as various leukemias) and hypoproliferation (such as aplastic anemia). At present, the method for judging the myeloproliferation degree mostly adopts a five-level classification method of the institute of hematology of the Chinese medical academy of medicine, and the area with uniform smear thickness is estimated according to the quantitative ratio of nucleated cells and mature red blood cells and is divided into five levels of hyperactive proliferation, obviously active proliferation, reduced proliferation and reduced proliferation severity (see table 1). The method has the advantages that the discrete degree of each grade of the reference interval is large, the critical value is difficult to grasp, and the existing bone marrow smear mostly adopts artificial microscopic examination, and the collection and counting of the number of red blood cells and nucleated cells are manually carried out, so the method is easily influenced by subjective factors.
TABLE 1 bone marrow cell proliferation degree reference interval by five-stage classification of cell number.
Figure DEST_PATH_IMAGE002
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a method for judging the myeloproliferation degree, which is simple to operate, is not influenced by subjective factors of people and can greatly improve the accuracy of detecting the myeloproliferation degree.
The technical scheme adopted by the invention for solving the problems is as follows: a method for determining the degree of myeloproliferation is provided, comprising the steps of:
s1, when a bone marrow smear reaches a designated position, starting a gray point camera, and automatically scanning the bone marrow smear by an electronic eyepiece;
s2, storing all the pictures of the bone marrow smear acquired by the electronic eyepiece in the step S1 for later use;
s3, repeating the steps S1-S2, and collecting a large number of picture samples of the bone marrow smear;
s4, dividing the picture samples collected in the step S3 according to the thickness and the uniformity of the bone marrow cells, and generating an algorithm for calculating the thickness and the uniformity of the bone marrow smear according to the divided pictures;
s5, collecting a whole picture of the bone marrow smear again, and calculating the total area of the bone marrow smear;
s6, calculating the thickness and the uniformity of the bone marrow smear by using the algorithm in the step S4, and selecting an area with moderate bone marrow cell thickness and uniform distribution in the bone marrow smear;
s7, respectively calculating the areas of all mature red blood cells and nucleated cells in the boxed area in the step S6, and calculating the area ratio of the mature red blood cells to the nucleated cells;
s8, observing and recording the myeloproliferation degree of the bone marrow smear collected in the step S5 under an electronic eyepiece;
s9, acquiring the area ratio of the mature red blood cells to the nucleated cells in the step S7 corresponding to the bone marrow hyperplasia degree in the step S8;
s10, repeating the steps S5-S9 to obtain the area ratios of mature red blood cells and nucleated cells corresponding to different myeloproliferative degrees;
s11, dividing the area ratio range of mature red blood cells and nucleated cells according to the level of myeloproliferation degree;
s12, collecting a picture of the bone marrow smear, identifying a framing area, calculating the area ratio of mature red blood cells to nucleated cells in the framing area of the bone marrow smear, and determining the myeloproliferation degree of the bone marrow smear according to the area ratio range of the step S11.
Preferably, in the step 11, when the level of proliferation corresponding to the degree of bone marrow proliferation is hyperactive proliferation, the ratio of the area of mature red blood cells to the area of nucleated cells is 1-2.2: 1.
Preferably, in the step 11, when the level of proliferation corresponding to the degree of bone marrow proliferation is significantly active, the ratio of the area of mature red blood cells to the area of nucleated cells is 2.2-5.5: 1.
Preferably, in the step 11, when the level of proliferation corresponding to the degree of bone marrow proliferation is hyperplastic, the ratio of the area of mature red blood cells to the area of nucleated cells is 5.5-21: 1.
Preferably, in the step 11, when the level of proliferation corresponding to the degree of bone marrow proliferation is decreased, the ratio of the area of mature red blood cells to the area of nucleated cells is 21-39: 1.
Preferably, in the step 11, when the level of proliferation corresponding to the degree of bone marrow proliferation is decreased in the degree of proliferation, the ratio of the area of mature erythrocytes to the area of nucleated cells is 39- ∞: 1.
Compared with the prior art, the invention has the following advantages and effects: after the bone marrow smear is scanned by the bone marrow smear scanning system, automatically selecting all areas with uniform thickness on the whole bone marrow smear, calculating the area ratio of red blood cells and nucleated cells in the areas, and determining the bone marrow hyperplasia condition of the bone marrow smear according to the ratio; compared with the traditional method for determining the myeloproliferation degree by utilizing the ratio of the number of the red blood cells to the number of the nucleated cells, the method has more accurate result without the influence of subjective factors, and particularly, special samples cannot be affected by incomplete observation under a microscope.
Drawings
FIG. 1 is a flow chart of the method of operation of the present invention.
Detailed Description
The present invention will be described in further detail below by way of examples with reference to the accompanying drawings, which are illustrative of the present invention and are not to be construed as limiting the present invention.
Examples are given.
The invention relates to a method for judging the myeloproliferation degree, which comprises the following steps:
s1, when a bone marrow smear reaches a designated position, starting a gray point camera, and automatically scanning the bone marrow smear by an electronic eyepiece;
s2, storing all the pictures of the bone marrow smear acquired by the electronic eyepiece in the step S1 for later use;
s3, repeating the steps S1-S2, and collecting a large number of picture samples of the bone marrow smear;
s4, dividing the picture samples collected in the step S3 according to the thickness and the uniformity of the bone marrow cells, and generating an algorithm for calculating the thickness and the uniformity of the bone marrow smear according to the divided pictures;
s5, collecting a whole picture of the bone marrow smear again, and calculating the total area of the bone marrow smear;
s6, calculating the thickness and the uniformity of the bone marrow smear by using the algorithm in the step S4, and selecting an area with moderate bone marrow cell thickness and uniform distribution in the bone marrow smear;
s7, respectively calculating the areas of all mature red blood cells and nucleated cells in the boxed area in the step S6, and calculating the area ratio of the mature red blood cells to the nucleated cells;
s8, observing and recording the myeloproliferation degree of the bone marrow smear collected in the step S5 under an electronic eyepiece;
s9, acquiring the area ratio of the mature red blood cells to the nucleated cells in the step S7 corresponding to the bone marrow hyperplasia degree in the step S8;
s10, repeating the steps S5-S9 to obtain the area ratios of mature red blood cells and nucleated cells corresponding to different myeloproliferative degrees;
s11, dividing the area ratio range of mature red blood cells and nucleated cells according to the level of myeloproliferation degree;
s12, collecting a picture of the bone marrow smear, identifying a framing area, calculating the area ratio of mature red blood cells to nucleated cells in the framing area of the bone marrow smear, and determining the myeloproliferation degree of the bone marrow smear according to the area ratio range of the step S11.
As shown in Table 2 below, when the area ratio of mature red blood cells to nucleated cells in the bone marrow smear is 1-2.2:1, the corresponding level of myeloproliferation is hyperplastic, and the results are mainly used for clinical diagnosis of leukemia. When the area ratio of mature red blood cells to nucleated cells in the bone marrow smear is 2.2-5.5:1, the corresponding level of bone marrow hyperplasia is obviously active, and the result is mainly used for clinically diagnosing leukemia and hyperplastic anemia. When the area ratio of mature red blood cells to nucleated cells in the bone marrow smear is 5.5-21:1, the corresponding level of myeloproliferation is hyperplastic, and the result is mainly used for clinically diagnosing normal bone marrow picture and various blood diseases. When the area ratio of mature red blood cells to nucleated cells in a bone marrow smear is 21-39:1, the corresponding level of myeloproliferation is decreased, and the results are mainly used for clinical diagnosis of aplastic anemia and various blood diseases. When the area ratio of mature red blood cells to nucleated cells in a bone marrow smear is 39- ∞:1, the corresponding level of myeloproliferation is decreased in the level of proliferation severity, and this result is mainly used for clinical diagnosis of various hematological diseases such as aplastic anemia and hypoplasia.
Table 2 bone marrow cell proliferation degree according to the five-stage classification of cell area ratio reference interval.
Figure DEST_PATH_IMAGE004
In the method for judging the myeloproliferation degree, the reference visual field is more than the microscopic examination result in the judging process, the reference visual field is obtained by collecting a large amount of image data of a marrow smear, the algorithm is automatically calculated without subjectivity, and the method is more accurate than the original calculating mode according to the number ratio of red blood cells to nucleated cells and is easier to operate.
In addition, it should be noted that the above contents described in the present specification are only illustrations of the present invention. All equivalent or simple changes of the features and principles of the invention according to the patent concepts are included in the scope of protection of the present patent. Various modifications, additions and substitutions for the specific embodiments described may be made by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.

Claims (6)

1. A method for determining the extent of myeloproliferation, comprising the steps of:
s1, when a bone marrow smear reaches a designated position, starting a gray point camera, and automatically scanning the bone marrow smear by an electronic eyepiece;
s2, storing all the pictures of the bone marrow smear acquired by the electronic eyepiece in the step S1 for later use;
s3, repeating the steps S1-S2, and collecting a large number of picture samples of the bone marrow smear;
s4, dividing the picture samples collected in the step S3 according to the thickness and the uniformity of the bone marrow cells, and generating an algorithm for calculating the thickness and the uniformity of the bone marrow smear according to the divided pictures;
s5, collecting a whole picture of the bone marrow smear again, and calculating the total area of the bone marrow smear;
s6, calculating the thickness and the uniformity of the bone marrow smear by using the algorithm in the step S4, and selecting an area with moderate bone marrow cell thickness and uniform distribution in the bone marrow smear;
s7, respectively calculating the areas of all mature red blood cells and nucleated cells in the boxed area in the step S6, and calculating the area ratio of the mature red blood cells to the nucleated cells;
s8, observing and recording the myeloproliferation degree of the bone marrow smear collected in the step S5 under an electronic eyepiece;
s9, acquiring the area ratio of the mature red blood cells to the nucleated cells in the step S7 corresponding to the bone marrow hyperplasia degree in the step S8;
s10, repeating the steps S5-S9 to obtain the area ratios of mature red blood cells and nucleated cells corresponding to different myeloproliferative degrees;
s11, dividing the area ratio range of mature red blood cells and nucleated cells according to the level of myeloproliferation degree;
s12, collecting a picture of the bone marrow smear, identifying a framing area, calculating the area ratio of mature red blood cells to nucleated cells in the framing area of the bone marrow smear, and determining the myeloproliferation degree of the bone marrow smear according to the area ratio range of the step S11.
2. The method according to claim 1, wherein the ratio of the area of mature red blood cells to the area of nucleated cells is 1-2.2:1 when the level of proliferation corresponding to the degree of myeloproliferation in step 11 is hyperplastic.
3. The method according to claim 1, wherein the ratio of the area of mature red blood cells to the area of nucleated cells is 2.2-5.5:1 when the proliferation level corresponding to the myeloproliferative degree in step 11 is significantly active.
4. The method according to claim 1, wherein the ratio of the area of mature red blood cells to the area of nucleated cells is 5.5-21:1 when the level of proliferation corresponding to the degree of myeloproliferation in step 11 is hyperplastic.
5. The method according to claim 1, wherein the ratio of the area of mature red blood cells to the area of nucleated cells is 21-39:1 when the level of proliferation corresponding to the degree of myeloproliferation in step 11 is decreased.
6. The method according to claim 1, wherein when the level of proliferation corresponding to the degree of myeloproliferation is decreased in the step 11, the ratio of the area of mature erythrocytes to the area of nucleated cells is 39- ∞: 1.
CN202111148519.0A 2021-09-29 2021-09-29 Method for judging myeloproliferation degree Active CN113945558B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111148519.0A CN113945558B (en) 2021-09-29 2021-09-29 Method for judging myeloproliferation degree

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111148519.0A CN113945558B (en) 2021-09-29 2021-09-29 Method for judging myeloproliferation degree

Publications (2)

Publication Number Publication Date
CN113945558A true CN113945558A (en) 2022-01-18
CN113945558B CN113945558B (en) 2024-05-24

Family

ID=79329560

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111148519.0A Active CN113945558B (en) 2021-09-29 2021-09-29 Method for judging myeloproliferation degree

Country Status (1)

Country Link
CN (1) CN113945558B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002223791A (en) * 2000-11-08 2002-08-13 Sysmex Corp Method for classification counting of bone marrow nucleated cell
CN111105416A (en) * 2019-12-31 2020-05-05 北京理工大学重庆创新中心 Automatic grading method and system for bone marrow cell proliferation degree
CN111189763A (en) * 2018-11-14 2020-05-22 学校法人顺天堂 Bone marrow fluid analysis method, sample analysis device, and recording medium containing program
CN111476754A (en) * 2020-02-28 2020-07-31 中国人民解放军陆军军医大学第二附属医院 Artificial intelligence auxiliary grading diagnosis system and method for bone marrow cell image
CN111795967A (en) * 2020-05-25 2020-10-20 中国人民解放军陆军军医大学第二附属医院 Smear self-checking method for marrow cell morphology automatic detection system
CN113034479A (en) * 2021-03-31 2021-06-25 武汉智博见微医疗科技有限公司 AA. MDS and MA classification method, device and readable storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002223791A (en) * 2000-11-08 2002-08-13 Sysmex Corp Method for classification counting of bone marrow nucleated cell
CN111189763A (en) * 2018-11-14 2020-05-22 学校法人顺天堂 Bone marrow fluid analysis method, sample analysis device, and recording medium containing program
CN111105416A (en) * 2019-12-31 2020-05-05 北京理工大学重庆创新中心 Automatic grading method and system for bone marrow cell proliferation degree
CN111476754A (en) * 2020-02-28 2020-07-31 中国人民解放军陆军军医大学第二附属医院 Artificial intelligence auxiliary grading diagnosis system and method for bone marrow cell image
CN111795967A (en) * 2020-05-25 2020-10-20 中国人民解放军陆军军医大学第二附属医院 Smear self-checking method for marrow cell morphology automatic detection system
CN113034479A (en) * 2021-03-31 2021-06-25 武汉智博见微医疗科技有限公司 AA. MDS and MA classification method, device and readable storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘保池 等 主编: "细胞治疗临床研究", 复旦大学出版社, pages: 30 - 35 *
蒋洁 等: "血液显微图像中红细胞计数***的研究与实现", 《医学信息》, vol. 22, no. 01, pages 8 - 10 *

Also Published As

Publication number Publication date
CN113945558B (en) 2024-05-24

Similar Documents

Publication Publication Date Title
CA2222554C (en) Method and apparatus for continuously monitoring and forecasting slide and specimen preparation for a biological specimen population
TWI379248B (en) Methods and systems for processing biological specimens utilizing multiple wavelengths
López et al. Digital image analysis in breast cancer: an example of an automated methodology and the effects of image compression
US5546323A (en) Methods and apparatus for measuring tissue section thickness
CN107945156A (en) A kind of method of automatic Evaluation numeral pathology scan image image quality
CN106706643B (en) A kind of liver cancer comparison slice detection method
JP4864709B2 (en) A system for determining the staining quality of slides using a scatter plot distribution
CN111833296B (en) Automatic detection and verification system and method for bone marrow cell morphology
CN112001315A (en) Bone marrow cell classification and identification method based on transfer learning and image texture features
TWI490723B (en) Method for automatically seeding previously-classified images among images of objects of interest from a specimen
US20040014165A1 (en) System and automated and remote histological analysis and new drug assessment
KR101106386B1 (en) System for classifying slides using scatter plot distributions
CN113552126A (en) Reticulocyte detection method and system
EP0592997A2 (en) Methods and apparatus for measuring tissue section thickness
WO2012126346A1 (en) Method for rapidly determining dna content in cell nucleus
JP2008139143A (en) Method and apparatus for forming specimen image
CN113945558A (en) Method for judging myeloproliferation degree
CN111795967A (en) Smear self-checking method for marrow cell morphology automatic detection system
CN111797706A (en) Image-based parasite egg shape recognition system and method
CA2185511C (en) Cytological specimen analysis system with individualized patient data
CN116071367B (en) Quantitative analysis and control method and system for fecal component based on microscopic image
JP2001510894A (en) Inspection system with sample inspection function
CN117314821A (en) Peripheral blood cell image intelligent identification mode, device and storage medium
TWM653792U (en) AI digital pathology image recognition system
KR20220082277A (en) Determination method for cell zone of slide sample image smeared with bone-marrow and high magnification imaging method of the same cell zone

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
CB03 Change of inventor or designer information

Inventor after: Huang Kai

Inventor after: Feng Junlin

Inventor after: Li Qiang

Inventor after: Lu Tao

Inventor after: Lu Ju

Inventor before: Huang Zhen

Inventor before: Feng Junlin

Inventor before: Li Qiang

Inventor before: Lu Tao

Inventor before: Lu Ju

CB03 Change of inventor or designer information
GR01 Patent grant
GR01 Patent grant