CN111613309A - Breast cancer ultrasonic screening ability assessment device and system - Google Patents
Breast cancer ultrasonic screening ability assessment device and system Download PDFInfo
- Publication number
- CN111613309A CN111613309A CN202010432410.9A CN202010432410A CN111613309A CN 111613309 A CN111613309 A CN 111613309A CN 202010432410 A CN202010432410 A CN 202010432410A CN 111613309 A CN111613309 A CN 111613309A
- Authority
- CN
- China
- Prior art keywords
- screening
- image
- module
- breast cancer
- ultrasonic
- 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.)
- Pending
Links
- 238000012216 screening Methods 0.000 title claims abstract description 262
- 208000026310 Breast neoplasm Diseases 0.000 title claims abstract description 96
- 206010006187 Breast cancer Diseases 0.000 title claims abstract description 95
- 238000002604 ultrasonography Methods 0.000 claims abstract description 46
- 238000007405 data analysis Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 12
- 210000000481 breast Anatomy 0.000 claims description 28
- 238000000034 method Methods 0.000 claims description 10
- 238000012986 modification Methods 0.000 claims description 9
- 230000004048 modification Effects 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 230000003902 lesion Effects 0.000 description 18
- 238000004590 computer program Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 10
- 230000002452 interceptive effect Effects 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 210000005075 mammary gland Anatomy 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 238000012850 discrimination method Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 206010028980 Neoplasm Diseases 0.000 description 1
- 230000002308 calcification Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
Abstract
The invention discloses a breast cancer ultrasonic screening ability assessment device and a breast cancer ultrasonic screening ability assessment system, wherein the device comprises: the image recognition index input module is used for inputting screening images and interpretation data; the image processing module is used for processing the screening image so as to facilitate the presentation of the breast cancer image towards an ultrasonic characteristic; the data analysis module is used for analyzing the input data of the screening image and generating an assessment result according to the input data and the screening image. Therefore, the examination result can be used for examining the breast cancer screening capacity of each doctor participating in the examination by ultrasound, the screening personnel is selected for examination to carry out the breast cancer image screening work by ultrasound, the higher accuracy of the breast cancer screening by ultrasound can be ensured, the problem of low accuracy of the breast cancer screening by ultrasound caused by the inconsistent levels of the screening personnel is avoided, and the use is convenient.
Description
Technical Field
The invention relates to the technical field of online examination systems, in particular to a breast cancer ultrasonic screening capacity examination device and system.
Background
Ultrasound is widely used in breast cancer screening because of its advantages of no radioactivity, no wound, low examination cost, etc. According to statistics, the accuracy of ultrasonic screening of the Shenzhen female population for breast cancer is 98.03%. Although the accuracy of ultrasound screening for breast cancer is high. However, a professional doctor is required to screen according to the ultrasonic image so as to ensure higher accuracy. Because the ultrasonic screening abilities of Shenzhen doctors and Shenzhen doctors in primary hospitals all over the country are inconsistent, the accuracy of ultrasonic screening of breast cancer is possibly low.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, the first purpose of the invention is to provide an ultrasonic breast cancer screening capability assessment device.
The second purpose of the invention is to provide an examination system for the breast cancer ultrasonic screening capacity.
To achieve the above object, in a first aspect, an ultrasound screening ability assessment apparatus for breast cancer according to an embodiment of the present invention includes:
the image identification index input module is used for inputting screening images and interpretation data;
an image processing module to process the screening image to facilitate presentation of an image breast cancer towards ultrasound features;
and the data analysis module is used for analyzing the input data of the screened image and generating an assessment result according to the input data and the screened image.
Further, according to an embodiment of the present invention, the image recognition index entry module includes:
the left BIRADS grading entry module is used for carrying out grading entry on the breast cancer BIRADS presented on the left side of the screening image;
the right BIRADS grading entry module is used for carrying out grading entry on the breast cancer BIRADS presented on the right side of the screening image;
the focus shape recording module is used for recording focus shape characteristics presented by the screening image;
the focus boundary recording module is used for recording focus boundary characteristics presented by the screening image;
the internal echo recording module is used for recording the internal echo characteristics presented by the screening image;
and the rear echo recording module is used for recording the rear echo characteristics presented by the screening image.
Further, according to an embodiment of the present invention, the data analysis module includes a screening result determination module, and the screening result determination module is configured to perform screening result determination according to the breast cancer BIRADS classification and the feature data entered by the image identification index entry module;
the screening result judging method comprises the following steps:
wherein, P <0.5 is negative, P ═ 0.5 or P >0.5 is positive.
Further, according to an embodiment of the invention, the image recognition index entry module further comprises an image entry display module, and the image entry display module is used for performing visual presentation on the processed entry screening image.
Further, according to an embodiment of the invention, the image identification index entry module further comprises a case information remark module, and the case information remark module is used for entering remark information of the screening case corresponding to the entered screening image.
Further, according to an embodiment of the present invention, the image recognition index entry module further includes an entered case addition modification module, and the entered case addition modification module is used for adding, deleting or modifying the screening case.
Further, according to an embodiment of the invention, the data analysis module further comprises an examination statistics judgment module, wherein the examination statistics judgment module is used for counting the screening judgment results of all screening cases and generating the examination results according to the statistical data.
Further, according to an embodiment of the present invention, the breast cancer ultrasonic screening ability assessment apparatus further includes a screening person classification navigation module, and the screening person classification navigation module is configured to perform navigation classification on categories and batches of screening persons.
In another aspect, the present invention further provides an assessment system for breast ultrasound screening capability, including:
the server comprises the breast cancer ultrasonic screening ability assessment device;
the system comprises a plurality of clients, and each client is connected with the breast cancer ultrasonic screening ability assessment device in a wired or wireless communication mode so as to access the breast cancer ultrasonic screening ability assessment device.
According to the breast cancer ultrasonic screening ability assessment device and system provided by the embodiment of the invention, the screening image and the interpretation data are input through the image identification index input module; an image processing module processes the screening image to facilitate presentation of an image breast cancer towards ultrasound features; the data analysis module is used for analyzing the input data of the screening image and generating an assessment result according to the input data and the screening image. Therefore, the examination result can be used for examining the capacity of ultrasonically screening the breast cancer of each doctor participating in the examination, screening the breast cancer by screening personnel passing the examination by ultrasound, screening the breast cancer image by screening the breast cancer by ultrasound through screening personnel passing the examination, so that the higher accuracy of ultrasonically screening the breast cancer can be ensured, and the problem of low accuracy of ultrasonically screening the breast cancer due to inconsistent levels of the screening personnel is solved.
And the user is more convenient to both input the data of the test case and upload the ultrasonic image, the judgment of the screening result is very quick, and the case addition and modification are very convenient.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an ultrasound screening capability assessment device for breast cancer according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an image identification index entry module according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of another image recognition index entry module according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of another breast cancer ultrasonic screening capability assessment device provided by an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of an assessment system for breast cancer ultrasonic screening capability according to an embodiment of the present invention;
FIG. 6 is a screening person classification navigation interface diagram provided by an embodiment of the present invention;
FIG. 7 is an image recognition index entry interface diagram provided by an embodiment of the present invention;
FIG. 8 is a diagram of another image recognition index entry interface provided by an embodiment of the present invention;
fig. 9 is a diagram of an interface for adding and modifying an input case provided by the embodiment of the present invention;
fig. 10 is a data analysis interface diagram provided in the embodiment of the present invention.
Reference numerals:
a server 10;
an image identification index entry module 101;
a left BIRADS grading input module 1011;
a right BIRADS hierarchical entry module 1012;
a lesion shape entry module 1013;
a lesion boundary entry module 1014;
an internal echo logging module 1015;
a rear echo entry module 1016;
an image entry display module 1017;
case information remarking module 1018;
a case entering adding and modifying module 1019;
an image processing module 102;
a data analysis module 103;
a screening result discrimination module 1031;
an assessment statistics determination module 10332;
a screener classification navigation module 104;
a client 20;
browser/client APP 201.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
Referring to fig. 1, in one aspect, the present invention provides an ultrasound screening ability assessment apparatus for breast cancer, including: the system comprises an image identification index recording module 101, an image processing module 102 and a data analysis module 103, wherein the image identification index recording module 101 is used for recording screening images and interpretation data; as shown in fig. 1, the entry operation of the screening person may be received by the image recognition index entry module 101. For example, the screening person can enter the screening case through the client 20, and enter the image of the screening case and relevant data information such as discrimination of the image of the screening case. The image recognition index entry module 101 receives entry of relevant data information such as an image of a screening case of a screening person and discrimination of the image of the screening case, and stores the entered image and data. To facilitate processing and analysis of the images and data.
The image processing module 102 is configured to process the screening image to facilitate presentation of an image breast cancer towards an ultrasound feature; the breast ultrasound image processing is the basis for analyzing and judging whether the screening object has breast cancer ultrasonic positive signs. After breast ultrasound image processing is carried out on the screened object, visual presentation is carried out, so that screening personnel can better screen and diagnose the screened object, and relevant data information such as judgment is input.
The data analysis module 103 is configured to analyze the input data of the screening image and generate an assessment result according to the input data and the screening image. The data analysis module 103 analyzes the image of the screening case and the discrimination input data input by the screening personnel, generates a discrimination result, and assesses the screening ability of the screening personnel according to the accuracy of the discrimination result. For example, when the accuracy of the judgment result of the examiner falls within a set range, the screener passes the examination, otherwise, the screener does not pass the examination.
The breast cancer ultrasonic screening ability assessment device provided by the embodiment of the invention records the screening image and the interpretation data through the image identification index recording module 101; the image processing module 102 processes the screening image to facilitate presentation of the image breast cancer towards ultrasound features; the data analysis module 103 is configured to analyze the input data of the screening image, and generate an assessment result according to the input data and the screening image. Therefore, the examination result can be used for examining the capacity of ultrasonically screening the breast cancer of each doctor participating in the examination, screening the breast cancer by screening personnel passing the examination by ultrasound, screening the breast cancer image by screening the breast cancer by ultrasound through screening personnel passing the examination, so that the higher accuracy of ultrasonically screening the breast cancer can be ensured, and the problem of low accuracy of ultrasonically screening the breast cancer due to inconsistent levels of the screening personnel is solved.
Referring to fig. 1, 2 and 7, further, in one embodiment of the present invention, the image recognition index entry module 101 includes: a left BIRADS (Breast imaging reporting and data system) grading entry module, a right BIRADS grading entry module 1012, a lesion shape entry module 1013, a lesion boundary entry module 1014, an internal echo entry module 1015 and a posterior echo entry module 1016, wherein the left BIRADS grading entry module 1011 is used for grading entry of Breast cancer BIRADS presented on the left side of the screening image; the ultrasound BI-RADS classification is gradually applied to clinical breast ultrasound examination, which describes a tumor in terms of its morphology, orientation, margin, echo, and calcification, and standardizes breast ultrasound reports. Criteria for mammary gland changes were created and recommended by the american academy of radiology (ACR) in 1992 as used in the "mammary gland image report and data system": evaluation criteria for breast ultrasound used is BI-RADS classification, classified into 5 grades. The left BIRADS hierarchical entry module 1011 can receive the discrimination entry information of the breast cancer BIRADS hierarchy presented on the left side of the screening image input by the screening personnel, and store the discrimination entry information of the breast cancer BIRADS hierarchy on the left side of the input screening image so as to generate a discrimination result.
The right BIRADS hierarchical entry module 1012 is configured to hierarchically enter the breast cancer BIRADS presented on the right side of the screening image; the right BIRADS hierarchical entry module 1012 can receive the discrimination entry information of the breast cancer BIRADS hierarchy presented on the right side of the screening image input by the screening personnel, and store the discrimination entry information of the breast cancer BIRADS hierarchy on the right side of the screening image input so as to generate a discrimination result.
The lesion shape entry module 1013 is configured to enter a lesion shape feature presented by the screening image; the lesion shape input module 1013 can receive lesion shape discrimination input information presented by a screening image input by a screening person, and store the input lesion shape discrimination input information so as to generate a discrimination result.
The lesion boundary entry module 1014 is configured to enter lesion boundary features presented by the screening image; the lesion boundary input module 1014 can receive lesion boundary identification input information presented by a screening image input by a screening person, and store the input lesion boundary identification input information so as to generate a judgment result.
The internal echo entry module 1015 is used for the entry of the internal echo characteristics of the screening image presentation; the internal echo input module 1015 may receive the internal echo discrimination input information presented by the screening image input by the screening personnel, and store the input internal echo discrimination input information, so as to generate the discrimination result.
The posterior echo entry module 1016 is configured to enter a posterior echo feature presented by the screening image. The rear echo input module 1016 can receive the rear echo discrimination input information presented by the screening image input by the screening personnel, and store the input rear echo discrimination input information so as to generate a discrimination result.
In the embodiment of the invention, 4 mammary gland ultrasonic images of different sites are collected for each screening object, and 6 analysis indexes are extracted according to image interpretation: BIRADS ranking (left), BIRADS ranking (right), lesion shape, lesion boundary, internal echo, posterior echo. Therefore, the judgment result can be generated conveniently, the accuracy of the judgment result can be improved, and the screening ability of the screening personnel can be better checked.
Referring to fig. 1, 4 and 10, further, in an embodiment of the present invention, the data analysis module 103 includes a screening result discrimination module 1031, where the screening result discrimination module 1031 is configured to perform screening result discrimination according to the breast cancer BIRADS classification and feature data entered by the image recognition index entry module 101; that is, the screening result determination module 1031 can automatically determine the positive result of the breast cancer according to the classification and feature data of the breast cancer BIRADS entered by the screening person. So as to realize the examination of the screening ability of the screening personnel according to the automatic judgment result. For example, the result of the automatic discrimination according to the input data of the screening person is compared with the correct result, so that whether the screening person accurately discriminates the image of the screened case can be judged. Therefore, the screening ability of the screening personnel can be assessed. In the embodiment of the invention, the screening result is automatically judged by inputting the classification and the characteristic data of the BIRADS of the breast cancer, so that a screening worker can directly obtain the judging result after inputting the classification and the characteristic data of the BIRADS of the breast cancer, and the accuracy is high.
The screening result judging method comprises the following steps:
wherein, P <0.5 is negative, P ═ 0.5 or P >0.5 is positive. The discrimination result can be directly obtained by the screening result discrimination method. The manual calculation is not needed, the accuracy of the screening result output by the discrimination method is high, and screening ability of screening personnel can be better assessed.
With reference to fig. 1, 3 and 8, further, in an embodiment of the present invention, the image recognition index entry module 101 further includes an image entry display module 1017, and the image entry display module 1017 is used for visually presenting the processed entry screening image. The image input display module 1017 can receive screening image input operation of screening personnel and store the input image so that the screening personnel can screen and judge the image. In one embodiment of the present invention, 4 breast ultrasound images of different sites can be collected for each screening object, and 6 analysis indexes are extracted according to image interpretation: BIRADS ranking (left), BIRADS ranking (right), lesion shape, lesion boundary, internal echo, posterior echo.
Referring to fig. 1, 3 and 8, further, in an embodiment of the present invention, the image recognition index entry module 101 further includes a case information remark module 1018, and the case information remark module 1018 is configured to enter remark information of a screening case corresponding to the screening image. The case information remarking module 1018 can receive the input information related to the screening case input by the screening person and store the input information related to the screening case, so as to contact the patient or search the information related to the screening case.
Referring to fig. 1, 3 and 9, further, in an embodiment of the present invention, the image recognition index entry module 101 further includes an entry case addition modification module 1019, and the entry case addition modification module 1019 is used for adding, deleting or modifying the screening case. The adding, deleting or modifying operation of the screening case by the screening personnel can be received through the image recognition index entry module 101, and the screening case is added or the maintained screening case is deleted or the modification operation is carried out on the screening case stored according to the adding, deleting or modifying operation of the screening personnel. Therefore, screening and discrimination of a plurality of screening cases can be facilitated. By screening and judging a plurality of screening cases, screening ability of screening personnel can be further assessed, and the condition that assessment is incomplete due to case judgment errors is avoided. In one embodiment of the present invention, the volume of screening cases may be set to 1000 cases. During assessment, 300 examples can be selected for online assessment of the assessment personnel, so that comprehensive assessment of the screening personnel is realized.
Referring to fig. 1, 4 and 10, in an embodiment of the present invention, the data analysis module 103 further includes an examination statistics determination module 10332, and the examination statistics determination module 10332 is configured to count the screening determination results of each screening case and generate the examination result according to the statistical data. The examination statistics determination module 10332 performs online statistics and examination result determination on each screening case of the screen personnel. For example, in one embodiment of the present invention, in the screened cases under examination, the maximum number of cases that can be accommodated by one screening lot is set to be 1000, the qualification is determined as the positive rate falls between 7.2% and 8.0%, and the qualification is determined as the positive rate is less than 7.2% or more than 8.0%.
Referring to fig. 1, 4 and 6, further, in an embodiment of the present invention, the breast cancer ultrasound screening ability assessment apparatus further includes a screening person classification navigation module 104, and the screening person classification navigation module 104 is configured to perform navigation classification on categories and batches of screening persons. The screening personnel classification navigation module 104 can perform login navigation on the screening personnel, for example, perform classification navigation on the screening personnel to evaluate objects, categories, batches and the like, so as to facilitate classification navigation and management.
In another aspect, the present invention further provides an assessment system for breast ultrasound screening capability, including: the system comprises a server and a client 20, wherein the server comprises the breast ultrasonic screening ability assessment device; the server can adopt a cloud server, and the breast ultrasonic screening ability examination device is installed and arranged in the server. It should be noted that the breast ultrasound screening ability assessment device can be stored in the memory through a computer program, and is implemented by installing the computer program in the server through a processor.
The number of the clients 20 is multiple, and each client 20 is connected with the breast cancer ultrasonic screening ability assessment device in a wired or wireless communication mode so as to access the breast cancer ultrasonic screening ability assessment device. When the device is used, an examiner can be connected with the server through the network between the client 20 and the server, and logs in the breast ultrasonic screening ability examination device on the server through the client 20, and the breast ultrasonic screening ability examination device is used for examining the breast ultrasonic screening ability on line. The software of the breast ultrasound screening ability assessment system needs to realize statistical analysis and visual presentation of a large amount of data and has four functions: inputting and visually presenting image interpretation data, judging, analyzing and visually presenting screening results (positive or negative), classifying, counting and visually presenting screening objects, and inputting and visually presenting screening object future-up projects. After a user inputs an analysis index of the breast ultrasound image interpretation of a screening case, the screening result (positive or negative) and accumulated case data of the screening case can be obtained in real time until the accumulated case data reaches 1000 cases, namely the end point of one examination is reached.
The interactive interface is divided into 5 areas, as shown in fig. 6 to 10. The first area is a navigation interactive interface for determining the examination objects, examination batches and screening personnel categories of the breast ultrasound screening ability examination system and navigating for the user; the second area is an ultrasonic image identification index entry navigation interactive interface of the breast ultrasonic screening ability assessment system, and 6 analysis indexes (BIRADS grading (left), BIRADS grading (right), focus shape, focus boundary, internal echo and rear echo) identified by an ultrasonic image are entered for a user to perform selective entry for navigation; the third area is an ultrasound image and case remark entry navigation interactive interface of the breast ultrasound screening ability assessment system, and navigates 4 ultrasound images and remark information items (name, identification number, mobile phone number, ultrasound image 1, ultrasound image 2, ultrasound image 3, ultrasound image 4, diagnostician, diagnosis hospital and diagnosis date) uploaded by a user for each case; the fourth area is a case adding and modifying navigation interactive interface which is input by the breast ultrasound screening ability assessment system and used for navigating a user to add or modify case records; and the fifth area is a navigation interactive interface for checking the checking and examining results of the breast ultrasonic screening ability examining system, and navigation is carried out for checking the number of positive cases, the number of negative cases, the positive rate and the examining results in accumulated screening cases by a user.
According to the breast cancer ultrasonic screening ability assessment system provided by the embodiment of the invention, the breast cancer ultrasonic screening ability assessment device is arranged on the server, and assessment personnel log in the server through the client 20 to assess the breast cancer ultrasonic screening ability on line. Therefore, the examination result can be used for examining the capacity of ultrasonically screening the breast cancer of each doctor participating in the examination, screening the breast cancer by screening personnel passing the examination by ultrasound, screening the breast cancer image by screening the breast cancer by ultrasound through screening personnel passing the examination, so that the higher accuracy of ultrasonically screening the breast cancer can be ensured, and the problem of low accuracy of ultrasonically screening the breast cancer due to inconsistent levels of the screening personnel is solved.
In order to verify the accuracy and reliability of software, a complete random sampling method is adopted, 1000 breast ultrasound screening cases made by community breast cancer screening site doctors trained in breast ultrasound screening skills are randomly extracted from a breast cancer screening information management module of a Shenzhen woman healthcare information management system, and a test user performs online test according to a navigation interface of a breast ultrasound screening ability assessment system.
The assessment system for the breast cancer ultrasonic screening ability provided by the invention is designed and developed from the actual need of the doctor breast ultrasonic screening ability assessment of the community breast cancer screening website in Shenzhen City, and is simple, easy to use, rapid and convenient application software, namely the breast cancer ultrasonic screening ability assessment system. The test result of the software is satisfactory, and online sorting and result judgment of the ultrasonic screening images and data of the breast tumors of women in Shenzhen city by the doctors of the community breast cancer screening website trained by the ultrasonic skills can be helped, so that online examination of the breast ultrasonic screening capability of the doctors of the community breast cancer screening website can be further performed.
The above modules for examining the breast cancer ultrasonic screening ability can be realized by a computer program, the computer program can be stored in a computer readable storage medium, the computer program and computer hardware are integrated to form the breast cancer ultrasonic screening ability examination device, and the steps of the above module embodiments can be realized when the computer program on the breast cancer ultrasonic screening ability examination device is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
The computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention.
It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The modules in the device of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs.
The modules or units in the system of the embodiment of the invention can be combined, divided and deleted according to actual needs.
Those of ordinary skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic pre-set hardware or in a combination of computer software and electronic pre-set hardware. Whether these functions are performed by pre-determined hardware or software depends on the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/computer device and method may be implemented in other ways. For example, the above-described apparatus/computer device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (9)
1. An ultrasonic breast cancer screening ability assessment device is characterized by comprising:
the image identification index input module is used for inputting screening images and interpretation data;
an image processing module to process the screening image to facilitate presentation of an image breast cancer towards ultrasound features;
and the data analysis module is used for analyzing the input data of the screened image and generating an assessment result according to the input data and the screened image.
2. The breast cancer ultrasonic screening ability assessment device according to claim 1, wherein the image recognition index entry module comprises:
the left BIRADS grading entry module is used for carrying out grading entry on the breast cancer BIRADS presented on the left side of the screening image;
the right BIRADS grading entry module is used for carrying out grading entry on the breast cancer BIRADS presented on the right side of the screening image;
the focus shape recording module is used for recording focus shape characteristics presented by the screening image;
the focus boundary recording module is used for recording focus boundary characteristics presented by the screening image;
the internal echo recording module is used for recording the internal echo characteristics presented by the screening image;
and the rear echo recording module is used for recording the rear echo characteristics presented by the screening image.
3. The breast cancer ultrasonic screening ability assessment device as claimed in claim 2, wherein the data analysis module comprises a screening result discrimination module for discriminating the screening result according to the entered breast cancer BIRADS classification and feature data of the image recognition index entry module;
the screening result judging method comprises the following steps:
wherein, P <0.5 is negative, P ═ 0.5 or P >0.5 is positive.
4. The breast cancer ultrasonic screening ability assessment device as claimed in claim 3, wherein the image recognition index entry module further comprises an image entry display module, and the image entry display module is used for visually presenting the processed entry screening image.
5. The breast cancer ultrasonic screening ability assessment device as claimed in claim 4, wherein the image recognition index entry module further comprises a case information remark module, and the case information remark module is used for entering remark information of the screening case corresponding to the entered screening image.
6. The breast cancer ultrasonic screening capability assessment device as claimed in claim 5, wherein the image recognition index entry module further comprises an entered case addition modification module, and the entered case addition modification module is used for adding, deleting or modifying the screening case.
7. The breast cancer ultrasonic screening ability assessment device as claimed in claim 6, wherein the data analysis module further comprises an assessment statistics determination module for performing statistics on screening discrimination results of each screening case and generating the assessment results according to statistical data.
8. The breast cancer ultrasonic screening ability assessment device as claimed in claim 7, further comprising a screening personnel classification navigation module for performing navigation classification on the category and batch of screening personnel.
9. An assessment system for breast ultrasound screening capability, comprising:
a server, comprising the breast cancer ultrasonic screening capability assessment device of any one of claims 1 to 8;
the system comprises a plurality of clients, and each client is connected with the breast cancer ultrasonic screening ability assessment device in a wired or wireless communication mode so as to access the breast cancer ultrasonic screening ability assessment device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010432410.9A CN111613309A (en) | 2020-05-20 | 2020-05-20 | Breast cancer ultrasonic screening ability assessment device and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010432410.9A CN111613309A (en) | 2020-05-20 | 2020-05-20 | Breast cancer ultrasonic screening ability assessment device and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111613309A true CN111613309A (en) | 2020-09-01 |
Family
ID=72198906
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010432410.9A Pending CN111613309A (en) | 2020-05-20 | 2020-05-20 | Breast cancer ultrasonic screening ability assessment device and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111613309A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020194019A1 (en) * | 2001-05-29 | 2002-12-19 | Evertsz Carl J. G. | Method and system for in-service monitoring and training for a radiologic workstation |
| JP2004253261A (en) * | 2003-02-20 | 2004-09-09 | Jeol Ltd | Image collection/analysis system |
| CN102682305A (en) * | 2012-04-25 | 2012-09-19 | 深圳市迈科龙医疗设备有限公司 | Automatic screening system and automatic screening method using thin-prep cytology test |
| CN107397557A (en) * | 2017-07-13 | 2017-11-28 | 深圳市前海博志信息技术有限公司 | Breast ultrasound ripple audit report generates system and method |
| CN107633515A (en) * | 2017-09-19 | 2018-01-26 | 西安电子科技大学 | A kind of image doctor visual identity ability quantization method and system |
-
2020
- 2020-05-20 CN CN202010432410.9A patent/CN111613309A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020194019A1 (en) * | 2001-05-29 | 2002-12-19 | Evertsz Carl J. G. | Method and system for in-service monitoring and training for a radiologic workstation |
| US7366676B2 (en) * | 2001-05-29 | 2008-04-29 | Mevis Breastcare Gmbh & Co. Kg | Method and system for in-service monitoring and training for a radiologic workstation |
| JP2004253261A (en) * | 2003-02-20 | 2004-09-09 | Jeol Ltd | Image collection/analysis system |
| CN102682305A (en) * | 2012-04-25 | 2012-09-19 | 深圳市迈科龙医疗设备有限公司 | Automatic screening system and automatic screening method using thin-prep cytology test |
| CN107397557A (en) * | 2017-07-13 | 2017-11-28 | 深圳市前海博志信息技术有限公司 | Breast ultrasound ripple audit report generates system and method |
| CN107633515A (en) * | 2017-09-19 | 2018-01-26 | 西安电子科技大学 | A kind of image doctor visual identity ability quantization method and system |
Non-Patent Citations (2)
| Title |
|---|
| 李育婵 等: "超声BI － ＲADS 分级在医院－ 社区一体化对高危人群乳腺癌筛查中的价值", 《现代医用影像学》, no. 2, pages 613 - 614 * |
| 王竞宇 等: "超声BI-RADS分级在社区乳腺癌筛查中的价值", 《西部医学》, no. 9, pages 1396 - 1397 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1977283B (en) | Methods and system for intelligent qualitative and quantitative analysis for medical diagnosis | |
| US7133546B2 (en) | Digital medical image analysis | |
| US7639848B2 (en) | Lesion marking and characterization quality assurance method and system | |
| WO2013065090A1 (en) | Similar case retrieval device and similar case retrieval method | |
| US20030149597A1 (en) | System for supporting clinical decision-making | |
| Gandomkar et al. | Visual search in breast imaging | |
| CN108595657B (en) | Data table classification mapping method and device of HIS (hardware-in-the-system) | |
| CN105640577A (en) | Method and system automatically detecting local lesion in radiographic image | |
| CN101203170A (en) | System and method of computer-aided detection | |
| CN115131300B (en) | Intelligent three-dimensional diagnosis method and system for osteoarthritis based on deep learning | |
| KR102498686B1 (en) | Systems and methods for analyzing electronic images for quality control | |
| CN109791804A (en) | To CAD system personalization to provide the method and component of the confidence level instruction of CAD system recommendation | |
| Koprowski et al. | Assessment of significance of features acquired from thyroid ultrasonograms in Hashimoto's disease | |
| CN113793305A (en) | Pathological image classification and identification method and system integrating multiple information | |
| CN111180027B (en) | Patient portrait correlation rule screening method and device based on medical big data | |
| CN116189866A (en) | Remote medical care analysis system based on data analysis | |
| CN114330479A (en) | Method, device, apparatus and medium for predicting cancer metastasis in target tissue | |
| CN111613309A (en) | Breast cancer ultrasonic screening ability assessment device and system | |
| CN115115876A (en) | Pathological image quality control method, device, equipment and medium based on deep learning | |
| CN114037540A (en) | Medical insurance fund supervision system and monitoring method thereof | |
| EP4147247A1 (en) | Systems and methods to process electronic images to determine salient information in digital pathology | |
| US20040225531A1 (en) | Computerized system and method for automated correlation of mammography report with pathology specimen result | |
| Munasinghe et al. | Yuwathi: early detection of breast cancer and classification of mammography images using machine learning | |
| JP2009157028A (en) | Cytoscopy education support system, central device, terminal unit and computer program | |
| US11538162B2 (en) | Systems and methods for processing electronic images of slides for a digital pathology workflow |
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 |