CN115019977A - Pathological full-process quality control system and method - Google Patents

Pathological full-process quality control system and method Download PDF

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CN115019977A
CN115019977A CN202210610018.8A CN202210610018A CN115019977A CN 115019977 A CN115019977 A CN 115019977A CN 202210610018 A CN202210610018 A CN 202210610018A CN 115019977 A CN115019977 A CN 115019977A
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diagnosis
quality control
workstation
digital
cells
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张悦
张欣欣
蔡东兴
赵振华
李志超
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Shandong Yunqi Information Technology Co ltd
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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    • G16H70/00ICT specially adapted for the handling or processing of medical references
    • G16H70/60ICT specially adapted for the handling or processing of medical references relating to pathologies
    • 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
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract

The invention relates to the technical field of process quality control, and provides a pathology whole-process quality control system and method, which comprises the following steps: the submission workstation is used for acquiring the sample types, case types and submission data of a plurality of pathological samples; the technical quality control workstation is used for acquiring the section making process data and the digital sections of a plurality of pathological specimens; the diagnosis workstation is used for obtaining auxiliary diagnosis information and auxiliary diagnosis results based on the digital slices and displaying the auxiliary diagnosis information and the auxiliary diagnosis results to obtain diagnosis information; and the quality control management workstation is used for displaying the diagnosis information to obtain a quality control result, identifying the defects of each digital section, counting the number of the defects to obtain the state of each digital section, and calculating a quality control index based on the specimen type and case type of all pathological specimens, the inspection data, the diagnosis data, the quality control result, the section manufacturing flow data and the digital section state, so that the workload and the technical level of the pathology department can be visually embodied.

Description

Pathological full-process quality control system and method
Technical Field
The invention belongs to the technical field of process quality control, and particularly relates to a pathology whole-process quality control system and method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The specimen is subjected to a plurality of steps from material drawing to report taking, the size is large, the links are complicated, the relevance of each operation module is poor, the data record is incomplete, the control and tracking is not easy to trace, the function of the conventional pathological system is deficient or imperfect, operators and operation time of each link are not recorded in detail, the professional level of each doctor and technician cannot be reflected through the data, the workload of the workers in each link cannot be reflected truly, and if the specimen and the section are lost, the quick follow-up cannot be carried out. Moreover, the manual film reading workload is large, the speed is slow, and problems such as visual errors may occur, so that the diagnosis is influenced. In addition, pathological sections have the problems of difficult storage and preservation, easy fading, easy damage, easy sheet loss and sheet dropping, difficult section retrieval and the like.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a pathology full-process quality control system and method, which can intuitively embody the workload and technical level of a pathology department by obtaining quality control indexes through data of each workstation.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a pathology whole-process quality control system, which comprises:
the submission workstation is used for acquiring the sample types, case types and submission data of a plurality of pathological samples;
the technical quality control workstation is used for acquiring the section making process data and the digital sections of a plurality of pathological specimens;
the diagnosis workstation is used for obtaining auxiliary diagnosis information and auxiliary diagnosis results based on the digital slices, and displaying the auxiliary diagnosis information and the auxiliary diagnosis results to obtain diagnosis information;
and the quality control management workstation is used for displaying the diagnosis information to obtain a quality control result, identifying the defects of each digital section, counting the number of the defects to obtain the state of each digital section, and calculating a quality control index based on the specimen type and case type of all pathological specimens, the inspection data, the diagnosis data, the quality control result, the section manufacturing flow data and the digital section state.
Further, the auxiliary diagnostic information includes the lesion cells marked in the digital section, and the category, confidence and coordinate of each lesion cell, and the number of cells and total number of cells of each category in the digital section.
Furthermore, the diagnosis workstation is also used for carrying out cell segmentation on the digital section, judging the grading of each cell according to the cell color, and counting the cells of each grade to obtain the cell number and the total cell number of each grade.
Further, the diagnosis workstation is further used for performing feature extraction and target detection after the digital section is preprocessed, and marking the pathological cells in the digital section.
Furthermore, the technical quality control workstation is also used for acquiring a plurality of scanning images of the dyed section of the pathological specimen collected by the digital section scanner, and each scanning image is one digital section.
The second aspect of the invention provides a pathology whole-process quality control method, which comprises the following steps:
the submission workstation acquires sample types, case types and submission data of a plurality of pathological samples;
a technical quality control workstation acquires the section making flow data and digital sections of a plurality of pathological specimens;
the diagnosis workstation obtains auxiliary diagnosis information and auxiliary diagnosis results based on the digital slices, and displays the auxiliary diagnosis information and the auxiliary diagnosis results to obtain diagnosis information;
and the quality control management workstation displays the diagnosis information to obtain a quality control result, identifies the defects of each digital section, counts the number of the defects to obtain the state of each digital section, and calculates a quality control index based on the specimen type and case type of all pathological specimens, the inspection data, the diagnosis data, the quality control result, the section manufacturing flow data and the digital section state.
Further, the auxiliary diagnostic information includes the lesion cells marked in the digital section, and the category, confidence and coordinate of each lesion cell, and the number of cells and total number of cells of each category in the digital section.
Further, the method for acquiring the number of cells and the total number of cells in each level comprises the following steps: and the diagnosis workstation divides the cells of the digital section, judges the grading of each cell according to the cell color, and counts the cells of each grade to obtain the number of the cells of each grade and the total number of the cells.
Further, the labeling method of the pathological cells is as follows: and after the digital section is preprocessed by the diagnosis workstation, performing feature extraction and target detection, and marking the pathological cells in the digital section.
Further, the method for acquiring the digital slice comprises the following steps: the technical quality control workstation acquires a plurality of scanning images of the dyed section of the pathological specimen collected by the digital section scanner, wherein each scanning image is one digital section.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a pathology whole-process quality control system, which can visually represent the workload and technical level of a pathology department by obtaining quality control indexes such as timeliness, accuracy, sample quantity, slice quantity and the like through data of each workstation, realize defect detection and leakage compensation and pointedly improve the overall level of the pathology department.
The invention provides a pathology full-process quality control system, which comprehensively manages the working process, pathology data and images of a hospital pathology department through data transmission among a checking workstation, a technical quality control workstation, a diagnosis workstation, a quality control management workstation and a special checking workstation, so that the management of departments is standardized, the working efficiency is improved, the informatization construction of hospitals can be promoted, the informatization of the process executed by technicians of doctor orders under diagnosis can be recorded, the full-process quality control is realized, each quality control process is controllable and traceable, the occupation levels of doctors and technicians are promoted, and the problems of section and specimen loss are reduced.
The invention provides a pathology whole-process quality control system, which is characterized in that a technical quality control workstation obtains digital slices, and solves the problems that the traditional slices are difficult to store and keep, difficult to cross-hospital diagnose, easy to fade and damage, easy to lose and drop slices, difficult to search the slices and the like.
The invention provides a pathology whole-process quality control system, wherein a diagnosis workstation of the pathology whole-process quality control system obtains auxiliary diagnosis information and auxiliary diagnosis results based on digital sections, so that doctors can be effectively assisted in an artificial intelligence manner, the film reading efficiency is improved, the sensitivity and the specificity of pathological cells are improved, the film reading accuracy is improved, and the misjudgment is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a structural diagram of a pathology full-process quality control system according to a first embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example one
The present embodiment provides a pathology whole-process quality control system, as shown in fig. 1, including: the system comprises a checking workstation, a technical quality control workstation, a diagnosis workstation, a quality control management workstation and a special checking workstation. The technical quality control workstation comprises a receiving terminal, a material taking terminal, a dehydration terminal, an embedding terminal, a slicing terminal and a dyeing terminal.
The quality control management workstation is used for receiving the specimen types, the case types and the submission data of a plurality of pathological specimens sent by the submission workstation, the section making flow data and the digital sections of a plurality of pathological specimens sent by the technical quality control workstation, and the diagnosis data of a plurality of pathological specimens sent by the diagnosis workstation and the special examination workstation.
The submission data includes: time of separation of pathological specimens, fixed time, person for submission, time for submission, and technical advice.
The slicing production flow data comprises: receiving time, recipient, time of draw, recipient, time of dehydration, person of dehydration, time of embedding, person of embedding, time of slicing, person of slicing, time of staining, person of staining and technical advice.
The diagnostic data includes: the diagnosis data comprises a primary examiner, primary examination time, a primary examination result, a secondary examiner, secondary examination time and a secondary examination result if the pathological specimen needs to be diagnosed by the diagnostician and the primary and secondary examiners.
Wherein, the specimen type and case type of the pathological specimen include: specimen types include big and small specimens; the case types include: routine, intraoperative rapid freezing, rapid paraffin, cellular (non-gynecological), HPV, TCT, FISH, electron microscopy, flow, molecular pathology, autopsy, bone marrow biopsy, kidney biopsy, liver biopsy, and the like.
The submission workstation is used for acquiring the sample types, case types and submission data of a plurality of pathological specimens, and specifically comprises the following steps: the inspection workstation is used for acquiring a pathological examination application (the pathological examination application comprises basic information of a patient, operation time, operation place and whether intraoperative freezing is performed) input by a doctor, generating a two-dimensional code and then sending the two-dimensional code to the quality control management workstation; human tissues (specimens) cut off in the operation are fixed to a bag by formalin fixing liquid, a delivery inspection workstation responds to an operation starting instruction recorded by a delivery inspector, generates a delivery inspection list according to a pathological examination application, and prints out a two-dimensional code, wherein the two-dimensional code is also used for binding the printed two-dimensional code to the bag for placing the specimens; the inspection person can input the sample type and case type, inspection person, separation time, fixed time, inspection time and technical advice of the pathological sample in the inspection workstation, and the inspection workstation sends the sample type and case type, inspection person, separation time, fixed time and inspection time of the pathological sample input by the inspection person to the quality control management workstation. The inspection workstation can realize the functions of reserving pathological examination, downloading a frozen informed consent and checking a pathological report on line in an outpatient service or an operating room. If the patient is frozen during the operation, the doctor enters a pathological examination application one day in advance at the check-in workstation, and the check-in workstation responds to the pathological examination application entered by the doctor, sends prompt information to the pathology department and informs the pathology department to arrange a person in advance to prepare.
The technical quality control workstation is used for acquiring section making flow data and digital sections of a plurality of pathological specimens, and specifically comprises the following steps:
receiving personnel receive samples and submission orders sent by an outpatient service or an operating room, scan the two-dimensional codes on the bags through a code scanning gun for code scanning and receiving, and automatically distribute pathological libraries (the types of the samples of the pathological samples are different from the types of the cases, and the corresponding submission orders and the diagnosis modes are different, so that the pathological samples correspond to different databases, and after the types of the samples are obtained by scanning of the code scanning gun, the cases are put into the corresponding databases according to the types of the samples, so that a correct diagnosis mode can be ensured); and the receiving terminal is connected with the code scanning gun and used for acquiring a receiver, receiving time and technical advice recorded by the receiver after acquiring the two-dimensional code and sending the receiver, the receiving time and the technical advice to the quality control management workstation. Because the two-dimensional code information is consistent, the quality control management workstation can associate the receiver, the receiving time and the technical medical advice with the pathological examination application, and the specimen type and the case type, the submission person, the in-vitro time, the fixed time and the submission time of the pathological specimen. The receiving terminal can also acquire information for directly creating case entry in a receiving room, or interface with an HIS system through an interface, quickly extract basic information of a patient, fill in receiving time of a specimen, receiving related information such as a receiver (the receiver is only responsible for receiving), and send the specimen to a sampling person.
The two-dimensional code scanning method comprises the following steps that a material-taking person scans a two-dimensional code on a bag by adopting a code scanning gun, and a receiving terminal is connected with the code scanning gun and used for obtaining the two-dimensional code to obtain basic information of a patient; the receiving terminal is connected with an embedding box printer and is used for printing a two-dimensional code for binding the embedding box, and the two-dimensional code of the embedding box is consistent with the two-dimensional code on the bag; a sampling person carries out sampling operation on the specimen, after the sampling content is placed in an embedding box, the attributes of the material block, the sampling part, the metering unit, the sampling quantity, the sampling time and the sampling person and technical advice are recorded at a receiving terminal, and the material block is photographed through a general photographing instrument to obtain a general image or is directly led into the general image; the receiving terminal obtains the general image, the material block attribute, the material taking part, the metering unit, the material taking quantity, the material taking time, the material taking personnel and the technical advice recorded by the material taking personnel and sends the general image, the material taking part, the metering unit, the material taking quantity, the material taking time, the material taking personnel and the technical advice to the quality control management workstation. The material-drawing personnel send the embedding box to the dehydrating personnel.
Concretely, after the two-dimensional code on the personnel of drawing materials scan the sack and acquire sample basic information, draw materials the operation to the sample, connect the embedding box printer, print the embedding box information, will draw materials the content and place the embedding box in, the personnel of drawing materials sweeps the sign indicating number to check (what swept is connecting the sign indicating number that the embedding box printer was printed) to the embedding box of single pathology, if have unusual embedding box, receiving terminal gives the suggestion. Meanwhile, the material-drawing personnel can use the receiving terminal to configure a material-drawing standardized template, the template is selected to be simply modified, information can be rapidly input, and information such as the attribute of the material block, the material-drawing part, the metering unit, the quantity of the material-drawing, the material-drawing time, the material-drawing personnel and the technical advice can be recorded. Through the camera of taking a picture roughly, take a picture or direct import image to the material piece, adjust the camera parameter and increase the photo definition, can export or delete the image of roughly, quality control management workstation demonstrates all images of current sample, selects the image that wants to demonstrate on the report, and the click is applied to the report, can show the image on the report.
The dehydration personnel scan the two-dimensional code on the embedding box through the code scanning gun, and the dehydration terminal is connected with the code scanning gun and used for acquiring the two-dimensional code to obtain the basic information of the patient; the dehydration personnel place the embedding box into a dehydrator for dehydration, record the dehydration personnel, dehydration time and technical advice, and send the embedding box to the embedding personnel after dehydration; and the dehydration terminal acquires the dehydration person, the dehydration time and the technical advice recorded by the dehydration person and sends the dehydration person, the dehydration time and the technical advice to the quality control management workstation.
An embedding person scans the two-dimensional code on the embedding box through a code scanning gun, and an embedding terminal is connected with the code scanning gun and used for acquiring the two-dimensional code to obtain basic information of a patient; embedding operation is carried out on the embedding box by an embedding person, the embedding time and technical advice are recorded, and the wax block (the wax block is the embedding box injected with the wax) after embedding is finished is delivered to a slicing person; the embedding terminal acquires an embedding person, embedding time and technical advice recorded by an embedding person, and sends the embedding person, the embedding time and the technical advice to the quality control management workstation.
The slicing personnel receives the wax block, scans the two-dimensional code on the wax block through the code scanning gun, and the slicing terminal is connected with the code scanning gun and used for acquiring the two-dimensional code to obtain basic information of the patient; the slicing terminal prints a two-dimensional code for binding the slide based on the basic information of the patient, the two-dimensional code of the slide is consistent with the two-dimensional code on the wax block, and the wax block and the slide are ensured to be in one-to-one correspondence; after the slicing is finished, the slicing time, the slicing personnel and the technical advice are recorded, and the slicing is transferred to the stainer; the slicing terminal acquires the slicer, slicing time and technical advice recorded by the slicer and sends the slicing time and technical advice to the quality control management workstation.
A dyeing person scans the two-dimension code of the slice through a code scanning gun, and a dyeing terminal is connected with the code scanning gun and used for acquiring the two-dimension code to obtain basic information of the patient; after dyeing the slices by a stainer, obtaining the dyed slices, and recording dyeing time, stainer and technical advice; after dyeing is finished, scanning the dyed slices by using a full-automatic microscopic scanning device (a digital slice scanner) to obtain a plurality of scanning images, wherein each scanning image is a digital slice and is uploaded to a dyeing terminal, and after the scanning is finished, dyeing personnel hand the dyed slices to a diagnosis workstation; the method comprises the following steps that a slicing terminal obtains a digital slice, a stainer, staining time and technical advice recorded by the stainer, and sends the digital slice, the stainer, the staining time and the technical advice to a quality control management workstation; and transmits the patient basic information and the digital slice to a diagnostic workstation.
The dehydration terminal is further used for obtaining evaluation of dehydration personnel on material taking, the embedding terminal is further used for obtaining evaluation of embedding personnel on material taking and dehydration, the slicing terminal is further used for obtaining evaluation of slicing personnel on material taking, dehydration and embedding, the staining terminal is further used for obtaining evaluation of staining personnel on material taking, dehydration, embedding and slicing, the evaluation is uploaded to a quality control management workstation, evaluation results are collected and counted, and quality control can be carried out on technical personnel.
The diagnosis terminal in the diagnosis workstation is used for carrying out amplification or reduction of the digital slice in any proportion and browsing in any direction; the server in the diagnosis workstation is used for preprocessing the digital slices, extracting the characteristics and detecting the target of the digital slices, and marking out the pathological cells and the category, confidence coefficient and coordinate of each pathological cell; the server in the diagnosis workstation is used for carrying out cell segmentation on the digital slice, segmenting the digital slice into a plurality of cells, judging the grading of each cell according to the cell color, and counting the cells of each grade to obtain the cell number and the total cell number of each grade; and obtaining an auxiliary diagnosis result according to the category, confidence and coordinate of each pathological cell, the number of cells of each level and the total number of cells, and sending the auxiliary diagnosis result to a diagnosis terminal and a quality control management workstation in the diagnosis workstation.
Specifically, a diagnosis workstation scans slices, preprocesses the slices, transmits the slices into a digital slice by using an artificial intelligence means and combining the existing TCT auxiliary slice reading technology, performs feature extraction and target detection on the digital slice, outputs the detected category, confidence and coordinates based on a TBS classification method, marks possible diseased cells, provides reference opinions for doctors and assists the doctors in diagnosis; combining the existing breast cancer immunohistochemical analysis technology, carrying out digital slicing, carrying out cell segmentation, judging the grade according to the cell color, judging the grade to be strong positive, medium positive, weak positive or negative, and counting the cells of each grade to obtain the cell number and the total cell number of each grade.
After receiving the stained section, a pathologist diagnostician scans the two-dimensional code of the stained section through a code scanning gun, a diagnosis terminal in a diagnosis workstation is connected with the code scanning gun and used for acquiring the two-dimensional code and obtaining basic information of a patient, so that a digital section corresponding to the information of the patient, auxiliary diagnosis information (including marked diseased cells, the category, the confidence coefficient and the coordinate of each diseased cell, the number of cells of each category and the total number of cells) given by the diagnosis workstation and an auxiliary diagnosis result are called; the diagnostician views the stained sections, the digital sections, the auxiliary diagnostic information and the auxiliary diagnostic results to give a diagnostic result. The diagnosis workstation records the diagnosis result, the diagnosis time and the diagnosis person and sends the diagnosis result, the diagnosis time and the diagnosis person to the diagnosis workstation. The diagnosis terminal comprises a primary diagnosis terminal, a pre-review terminal and a re-review terminal, and the pathologist diagnosticians using the primary diagnosis terminal, the pre-review terminal and the re-review terminal are respectively a diagnostician, a pre-review physician and a re-review physician.
The doctor of the diagnosis workstation checks the digital slices and the calculation results of the artificial intelligent auxiliary diagnosis, and the visual check is converted into computer counting by taking the real data as the basis, so that the efficiency is improved, the sight distance error is reduced, the reference data is provided for the pathological doctor, and the pathological diagnosis is more effectively carried out. The digital section can also be applied to remote diagnosis, the digital section and the basic information of the patient are obtained in real time through network transmission by the expert of the partner hospital, the disease condition is diagnosed in time, the problems of insufficient hands, uneven distribution, difficult transportation of the section and the like of a pathologist are solved, and the situations of missed diagnosis, misdiagnosis and the like are reduced. The diagnosis workstation supports selection of a diagnosis report template, can quickly send out a diagnosis report by simple modification, and prints the diagnosis report to an outpatient service or a clinical patient. The diagnosis workstation provides a three-level doctor diagnosis mode, and strictly controls the operations of saving, modifying, auditing and the like of pathological information. If the case is of a freezing type, a diagnosis report needs to be sent out, the number of the freezing reports can be automatically prompted at a diagnosis workstation, different freezing reports can be generated according to different specimens, each part can be independently examined and provided for clinical examination, and the operator room can be automatically reminded to examine after the freezing report is sent out. The existing system can not add supplementary reports, has no recording way for newly discovered new diagnosis, and the diagnosis workstation provides a function of adding supplementary reports, can record a plurality of supplementary reports, and can count submitted records in pathological submitted records; the diagnosis workstation records the diagnosis doctors, the pre-examining doctors, the re-examining doctors and the diagnosis time of each doctor for tracing and quality control.
The diagnostic data also includes special exam orders. The diagnosis workstation sends the diagnosis result and the digital slice to a special inspection workstation; and the special inspection workstation is used for acquiring special inspection medical advice and sending the special inspection medical advice to the dyeing terminal, the material taking terminal, the dehydration terminal, the embedding terminal, the slicing terminal and the quality control management workstation. The special examination workstation supports issuing of various special examination medical orders such as immunohistochemistry, electron microscope, FISH and molecular pathology, automatically sends a message to remind relevant personnel after the special examination medical orders are issued, and supports deleting the special examination medical orders and cancelling the special examination medical orders. The method supports the applications of selecting wax block supplement, recutting, deep cutting and the like, and simultaneously sends a message to remind a technical doctor, so that the execution state of the medical advice can be checked at any time, and the number of the technical medical advice is reminded in real time. And recording information such as the attribute of the medical advice, the wax block number, the number of slices, the marker and the like.
And the quality control management workstation is used for identifying the defects (knife marks, bubbles, wrinkles and cracks) of each digital slice through a deep learning algorithm based on the digital slices, counting the number of the knife marks, the bubbles, the wrinkles and the cracks and obtaining the state (excellent, good, common or poor) of each digital slice.
And the quality control management workstation displays the diagnosis information to obtain a quality control result. Specifically, the quality control management workstation is used for displaying the diagnosis information of each pathological specimen, acquiring the quality control result of each diagnosis data by the expert, namely, the expert judges whether each diagnosis data meets the standard or not, and gives the quality control result of which the diagnosis meets or does not meet the standard.
And the quality control management workstation is used for calculating quality control indexes based on the sample types and case types of all pathological samples, the diagnosis data, the quality control results, the section making flow data, the inspection data and the digital section state.
The quality control indexes comprise five categories of coincidence rate quality control, medical advice quality control, diagnosis timeliness rate quality control, other quality control and workload statistics, and the specific contents of each category are as follows: and (3) coincidence rate and quality control: the overall diagnosis coincidence rate, the freezing diagnosis coincidence rate and the cell diagnosis coincidence rate; and (4) order quality control: technical order statistics and special examination order statistics (statistics of the number of technical orders under each technician, the number of special examination orders, and the content, the number of repeated cuts and the number of deep cuts of each technical order and special examination order); diagnosis and timely rate quality control: freezing diagnosis timeliness, large sample diagnosis timeliness, small sample diagnosis timeliness and cell diagnosis timeliness; other quality control: slice goodness, freezing delay statistics (number of delays and number of non-delays in all frozen diagnostic specimens), negative and positive statistics (number of positives and number of negatives in all specimens), specimen statistics, and pathology examination statistics (e.g., counting the number of all pathological specimens); and (3) carrying out workload statistics: personnel workload statistics, department workload statistics, submission workload statistics, and submission hospital workload statistics.
Obtaining diagnosis coincidence rate (overall diagnosis coincidence rate, freezing diagnosis coincidence rate and cell diagnosis coincidence rate) based on the specimen type and case type of the pathological specimen and the diagnosis data:
based on the diagnostic data of all pathological specimens, the overall diagnostic coincidence rate is calculated:
Figure BDA0003672897220000121
wherein, the number of all diagnosis conforming samples is the number of all pathological samples with quality control results conforming to the diagnosis, and the integral diagnosis conforming rate reflects the important index of the diagnosis technical level of the pathology department.
Calculating a frozen diagnosis compliance rate based on the diagnosis data of the pathological specimen of which the type of the case is intraoperative rapidly frozen:
Figure BDA0003672897220000122
wherein, the number of the frozen coincidence samples is the number of the pathological specimens which are rapidly frozen in the operation and all the types of the cases of which the quality control results are diagnosis coincidence, and the freezing diagnosis coincidence rate reflects the important index of the freezing diagnosis technical level of the pathology department.
Calculating a cellular diagnosis coincidence rate based on the diagnosis data of the pathological specimen of which the case type is a cellular pathological specimen:
Figure BDA0003672897220000123
wherein, the number of cytological pathological coincidence samples is the number of pathological specimens of which all cases are cells and the quality control result is diagnosis coincidence, and the cytological diagnosis coincidence rate reflects an important index of the cytological pathological diagnosis technical level of the pathology department.
Obtaining diagnosis timeliness (including freezing diagnosis timeliness, large sample diagnosis timeliness, small sample diagnosis timeliness and cell diagnosis timeliness) based on the sample type and case type of the pathological sample, section making flow data and inspection data:
based on the section making process data and the inspection data of the pathological specimen of which the case type is the intraoperative rapidly frozen specimen, calculating the freezing diagnosis timeliness:
Figure BDA0003672897220000131
the number of the frozen samples in time for diagnosis is the number of cases with the diagnosis time minus the receiving time less than or equal to 30 minutes, the types of the cases are the number of samples which are quickly frozen in the operation, the total number of the cases for quick diagnosis in the same operation is the total number of the cases (routine diagnosis samples) which are quickly diagnosed in the same operation (within a period of specified time), and the timeliness rate of the frozen diagnosis reflects an important index of the timeliness rate of the quick pathological diagnosis in the pathology department.
Based on the section making flow data and the submission data of the pathological specimen of which the specimen type is a big specimen, calculating the diagnosis timeliness rate of the big specimen:
Figure BDA0003672897220000132
wherein, the large sample number in time of diagnosis is the large sample number obtained by subtracting the receiving time from the diagnosis time by a set value (5 days, and adding 2 days for special conditions (such as special treatment, special staining, immunohistochemical staining and molecular detection samples), and the total number of the samples for histopathological diagnosis in the same period (within a specified period of time) is the total number of the samples (histopathological samples) for histopathological diagnosis in the same period.
Based on the section making flow data and the submission data of the pathological specimen of which the specimen type is a small specimen, calculating the diagnosis timeliness of the small specimen:
Figure BDA0003672897220000133
wherein, the small sample number in time of diagnosis is the small sample number obtained by subtracting the receiving time from the diagnosis time to be less than or equal to a set value (3 days, and adding 2 days to special conditions (such as special treatment, special dyeing, immunohistochemical dyeing and molecular detection samples)).
Based on the section making flow data and the inspection data of the pathological specimen with the case type as the cell, the freezing diagnosis time rate is calculated:
Figure BDA0003672897220000141
wherein, the cytological specimen number in time of diagnosis is the number of pathological specimens of which the diagnosis time minus the receiving time is less than or equal to a set value (2 days, the number of the pathological specimens of which the types of the cases under special conditions (such as the specimens subjected to special treatment, special dyeing, immunohistochemical dyeing and molecular detection) are cells, the total number of the cytopathological specimens in the same period is the total number of the pathological specimens of which all the types of the cases are cells, and the freezing diagnosis time rate reflects an important index of the rapid pathological diagnosis time rate in the pathology department.
Based on the digital section states of all pathological specimens, the section yield is calculated:
the slice yield is good slice number/total slice number multiplied by 100%
The number of good slices is the number of pathological specimens with good or excellent digital slicing state, and the slice yield is an important index reflecting the staining and slice production quality of the pathology department.
The system of the embodiment comprehensively manages the working process, pathological data and images of the hospital pathology department by means of computer software and hardware technology, image processing and analyzing technology and the like, so that the management of departments is standardized, the working efficiency is improved, the hospital informatization construction can be promoted, meanwhile, the informatization of the process executed by a technician for the medical orders given by a diagnostician can be recorded, the quality control of the whole process is realized, and each quality control process is controllable and traceable. The method is beneficial to improving the occupational level of doctors and technicians and reducing the problem of losing slices and specimens. Through various indexes such as timeliness, accuracy, specimen quantity, section quantity and the like which are gathered regularly, the workload and technical level of the pathology department are more visually represented, defects and leakage can be checked and repaired, and the overall level of the pathology department is improved in a targeted manner. The slice is digitalized, and the problems that the traditional slice is not easy to store and keep, cross-hospital diagnosis, fade and damage, lose and drop, and search are difficult are solved. The artificial intelligence is combined with medical treatment, so that the artificial intelligence effectively assists the diagnosis of doctors, the film reading efficiency is improved, the sensitivity and specificity of pathological cells are improved, the film reading accuracy is improved, and the misjudgment is reduced.
Example two
The embodiment provides a pathology whole-process quality control method, which specifically comprises the following steps:
the submission workstation acquires sample types, case types and submission data of a plurality of pathological samples;
a technical quality control workstation acquires the section making flow data and digital sections of a plurality of pathological specimens;
the diagnosis workstation obtains auxiliary diagnosis information and auxiliary diagnosis results based on the digital slices, and displays the auxiliary diagnosis information and the auxiliary diagnosis results to obtain diagnosis information;
and the quality control management workstation displays the diagnosis information to obtain a quality control result, identifies the defects of each digital section, counts the number of the defects to obtain the state of each digital section, and calculates a quality control index based on the specimen type and case type of all pathological specimens, the inspection data, the diagnosis data, the quality control result, the section manufacturing flow data and the digital section state.
The auxiliary diagnosis information comprises the lesion cells marked in the digital section, the category, the confidence coefficient and the coordinate of each lesion cell, and the number of cells and the total number of cells of each category in the digital section.
The method for acquiring the number of cells and the total number of the cells in each grade comprises the following steps: and the diagnosis workstation divides the cells of the digital section, judges the grading of each cell according to the cell color, and counts the cells of each grade to obtain the number of the cells of each grade and the total number of the cells.
Labeling methods of diseased cells are as follows: and after the digital section is preprocessed by the diagnosis workstation, carrying out feature extraction and target detection, and marking the pathological cells in the digital section.
The method for acquiring the digital slice comprises the following steps: the technical quality control workstation acquires a plurality of scanning images of the dyed section of the pathological specimen collected by the digital section scanner, wherein each scanning image is one digital section.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A pathology full-process quality control system is characterized by comprising:
the submission workstation is used for acquiring the sample types, case types and submission data of a plurality of pathological samples;
the technical quality control workstation is used for acquiring the section making process data and the digital sections of a plurality of pathological specimens;
the diagnosis workstation is used for obtaining auxiliary diagnosis information and auxiliary diagnosis results based on the digital slices and displaying the auxiliary diagnosis information and the auxiliary diagnosis results to obtain the diagnosis information;
and the quality control management workstation is used for displaying the diagnosis information to obtain a quality control result, identifying the defects of each digital section, counting the number of the defects to obtain the state of each digital section, and calculating a quality control index based on the specimen type and case type of all pathological specimens, the inspection data, the diagnosis data, the quality control result, the section manufacturing flow data and the digital section state.
2. The system of claim 1, wherein the auxiliary diagnostic information includes the lesion cells marked in the digital section, and the category, confidence and coordinates of each lesion cell, and the number of each category cell and the total number of cells in the digital section.
3. The system of claim 1, wherein the diagnostic workstation is further configured to perform cell segmentation on the digital section, determine the grade of each cell according to the cell color, and count the cells in each grade to obtain the number of cells in each grade and the total number of cells.
4. The system of claim 3, wherein the diagnostic workstation is further configured to perform feature extraction and target detection after preprocessing the digital section to mark the diseased cells in the digital section.
5. The system of claim 3, wherein the technical control workstation is further configured to obtain a plurality of scan images of a stained section of the pathological specimen collected by the digital section scanner, each scan image being a single digital section.
6. A pathology full-process quality control method is characterized by comprising the following steps:
the submission workstation acquires sample types, case types and submission data of a plurality of pathological samples;
a technical quality control workstation acquires the section making flow data and digital sections of a plurality of pathological specimens;
the diagnosis workstation obtains auxiliary diagnosis information and auxiliary diagnosis results based on the digital slices, and displays the auxiliary diagnosis information and the auxiliary diagnosis results to obtain diagnosis information;
and the quality control management workstation displays the diagnosis information to obtain a quality control result, identifies the defects of each digital section, counts the number of the defects to obtain the state of each digital section, and calculates a quality control index based on the specimen type and case type of all pathological specimens, the inspection data, the diagnosis data, the quality control result, the section manufacturing flow data and the digital section state.
7. The method of claim 6, wherein the auxiliary diagnostic information includes the lesion cells marked in the digital section, and the category, confidence and coordinates of each lesion cell, and the number of each category cell and the total number of cells in the digital section.
8. The method of claim 6, wherein the number of cells and the total number of cells in each level are obtained by: and the diagnosis workstation divides the cells of the digital section, judges the grading of each cell according to the cell color, and counts the cells of each grade to obtain the number of the cells of each grade and the total number of the cells.
9. The method of claim 8, wherein the labeling method of the diseased cells is: and after the digital section is preprocessed by the diagnosis workstation, carrying out feature extraction and target detection, and marking the pathological cells in the digital section.
10. The method of claim 8, wherein the digital slice is obtained by: the technical quality control workstation acquires a plurality of scanning images of the dyed section of the pathological specimen collected by the digital section scanner, wherein each scanning image is used for acquiring the digital section.
CN202210610018.8A 2022-05-31 2022-05-31 Pathological full-process quality control system and method Pending CN115019977A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117334353A (en) * 2023-11-07 2024-01-02 广州方信医疗技术有限公司 Complete flow quality control and information management system and method for pathology department

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117334353A (en) * 2023-11-07 2024-01-02 广州方信医疗技术有限公司 Complete flow quality control and information management system and method for pathology department
CN117334353B (en) * 2023-11-07 2024-04-30 广州方信医疗技术有限公司 Complete flow quality control and information management system and method for pathology department

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