WO2020141847A1 - Appareil et méthode pour diagnostiquer des dépôts fibrinoïdes massifs périvilleux - Google Patents

Appareil et méthode pour diagnostiquer des dépôts fibrinoïdes massifs périvilleux Download PDF

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Publication number
WO2020141847A1
WO2020141847A1 PCT/KR2019/018775 KR2019018775W WO2020141847A1 WO 2020141847 A1 WO2020141847 A1 WO 2020141847A1 KR 2019018775 W KR2019018775 W KR 2019018775W WO 2020141847 A1 WO2020141847 A1 WO 2020141847A1
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WIPO (PCT)
Prior art keywords
fibrin
villi
placenta
mother
diagnosing
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PCT/KR2019/018775
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English (en)
Korean (ko)
Inventor
김종재
김은나
김상엽
Original Assignee
울산대학교 산학협력단
재단법인 아산사회복지재단
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Publication of WO2020141847A1 publication Critical patent/WO2020141847A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies

Definitions

  • the present invention relates to an apparatus and method for diagnosing fibrin hypercalmosis.
  • abortion may be caused by massive perivillous fibrin deposition (MPFD) in which fibrinoids (or fibrin) are overdeposited around the villi of the placenta.
  • MPFD massive perivillous fibrin deposition
  • the problem to be solved by the present invention is to provide an apparatus and method for diagnosing fibrin hyperdeposition using automatic artificial intelligence algorithm to automatically separate fibrinoid and villi from placenta images to diagnose fibrin hyperdeposition.
  • the apparatus for diagnosing fibrin hypercalmosis divides a region of fibrin and villi in a placenta image, performs an analysis on the ratio of fibrin and villi, or the degree to which fibrin surrounds villi, and is based on the analysis It can diagnose fibrin and deposition.
  • a method for diagnosing fibrin hyperdeposition performed by a device for diagnosing fibrin hyperdeposition comprising: obtaining a placental image of a mother; Identifying a region corresponding to fibrin and a region corresponding to villi in the placenta image using a pre-trained artificial intelligence algorithm; And based on the region corresponding to the fibrin and the region corresponding to the villi, and may include the operation of diagnosing whether the state of the mother is fibrin hypercalmosis.
  • the operation of diagnosing whether the state of the mother is fibrin and deposition is, in the placenta image, the ratio between the region corresponding to the villi and the region corresponding to the fibrin and the villi It may be executed based on at least one of the arrangement state of the corresponding region and the region corresponding to the fibrin.
  • the operation of diagnosing whether the condition of the mother is fibrin hypercalmosis is, in the placenta image, of an area corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi. And checking the ratio, and diagnosing the condition of the mother with the fibrin hypercalmosis based on the determined ratio being equal to or higher than a predetermined ratio.
  • the placenta image of the mother may be obtained by observing a pathological slide of the mother's placenta with a microscope.
  • the artificial intelligence algorithm is based on input parameter values for distinguishing fibrin and villi in the placenta image for learning.
  • the placenta image for learning it may be learned to distinguish an area corresponding to the fibrin and an area corresponding to the villi.
  • An apparatus for diagnosing fibrin hypercalmosis includes a memory storing pre-trained artificial intelligence algorithms; And obtaining a placental image of a mother, using the pre-trained artificial intelligence algorithm to identify a region corresponding to fibrin and a region corresponding to villi in the placenta image, a region corresponding to the fibrin and a region corresponding to the villi Based on the region, a control unit may be configured to diagnose whether the mother's condition is fibrin hypercalmosis.
  • control unit in the placenta image, the ratio between the region corresponding to the villi and the region corresponding to the fibrin, and the arrangement state of the region corresponding to the villi and the region corresponding to the fibrin Based on at least one, it may be possible to diagnose whether the condition of the mother is fibrin hypercalmosis.
  • the control unit in the placenta image, checks a ratio of a region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi, and the identified ratio is equal to or greater than a predetermined ratio On the basis of this, the condition of the mother can be diagnosed as the fibrin hypercalmosis.
  • the placenta image of the mother according to an embodiment of the present invention may be obtained by observing a pathological slide of the mother's placenta with a microscope.
  • the pre-trained artificial intelligence algorithm based on the input parameter values for distinguishing fibrin and villi in the placenta image for learning, an area corresponding to the fibrin in the placenta image for learning and the It may be learned to distinguish an area corresponding to villi.
  • the apparatus and method for diagnosing fibrin hyper deposition may provide an accurate diagnosis of fibrin hyperdeposition by clearly distinguishing the region of fibrin and villi from the placenta image using an artificial intelligence algorithm.
  • FIGS. 1 to 10 are diagrams for explaining a device and method for diagnosing fibrin hypercalmosis according to an embodiment of the present invention.
  • FIG. 11 is a flowchart of a diagnosis operation of fibrin hyperdeposition using a device for diagnosing fibrin hyperdeposition according to an embodiment of the present invention.
  • FIG. 12 is a block diagram of a device for diagnosing fibrin hypercalmosis according to an embodiment of the present invention.
  • Figure 1 shows an example of a placenta with fibrinoid, a normal placenta and fibrinoid observed under a microscope. Looking at the placenta under a microscope, there is fetal blood in the placental villi, and maternal blood is present in the space between the villi, and various substances such as oxygen, carbon dioxide, and nutrients can move between these blood. In some cases, fibrin may be deposited around the placental villi as shown in FIG. 1.
  • the fibrin/fibrinoid may act as a scaffold to repair damage to the placental villi, or to prevent the immune response from occurring when fetal blood is exposed to the mother's blood when the placental villi is damaged.
  • the placenta can be deformed yellow and hard, like the placenta in the upper right of FIG. 2, unlike the normal placenta in the upper left of FIG. Under the microscope, fibrin is filled in the space where the mother's blood should be, and the exchange of substances between the fetus and the mother is prevented from occurring, and the placenta function can be rapidly deteriorated.
  • This pathological condition may be Massive perivillous fibrin deposition (hereinafter,'MPFD').
  • the lower left of FIG. 2 may be an example of a placenta slide image enlarging a part of the placenta in the upper left
  • the lower right of FIG. 2 is an enlarged part of the placenta shown in the upper right
  • It may be an example of a placental pathology slide image.
  • the difference between the normal placenta and the MPFD placenta can be seen by comparing the images of the lower left and lower right. That is, looking at the image at the bottom right, it can be confirmed that the fibrinoid is full in the space between the villi, unlike the image at the bottom left by MPFD.
  • the incidence of MPFD during abortion in the second and third trimesters is 0.005 to 0.5%, and the frequency of MPFD during abortion in the first trimester is 2.7%.
  • MPFD may be characterized by repeated up to 78% in the next pregnancy. That is, since MPFD causes repeated miscarriage, various treatments to prevent miscarriage and prevent miscarriage need to be attempted. For example, you can try treatment to prevent miscarriage, such as narrowing the outpatient follow-up interval and inducing preterm delivery.
  • MPFD is diagnosed according to the occupancy relationship between villus and fibrin in the placenta.
  • the apparatus for diagnosing fibrillation and sedimentation can more clearly distinguish fibrin and villi included in the pathology slide image of the placenta using an artificial intelligence algorithm.
  • the fibrin and sedimentation diagnosis apparatus may provide information on fibrin and villi separated as such, for example, an analyzed image, or automatically diagnose MPFD based on the analyzed image to provide an MPFD diagnosis result.
  • the device for diagnosing fibrin hypercalmosis may analyze how much fibrin surrounds the contours of villi in the acquired placenta image, and diagnose MPFD based thereon. More specifically, the apparatus for diagnosing fibrin and sedimentation may determine whether the ratio of the length wrapped with fibrin among the circumferences of the villi corresponds to a predetermined ratio, and perform diagnosis based on the ratio.
  • the pre-determined ratio can be, for example, 25%.
  • the fibrin and deposition diagnosis apparatus may diagnose MPFD by analyzing the area occupied by villi and fibrin in the placenta image and comparing them.
  • the fibrin hypersedation diagnosis apparatus can facilitate the diagnosis of MPFD by scanning the placental pathology slide to obtain a placenta image, and according to the ratio of the villus and fibrin appearing in the obtained image, the placement status, and the like.
  • MPFD is an abbreviation for Massive Perivillous fibrin deposition
  • IIF is an abbreviation for Increased intervillous fibrin.
  • the placenta image may be an image obtained by observing a pathology slide of the placenta with a microscope, and FIG. 4 shows an example of such a placenta image.
  • the placenta image may be acquired at a low magnification or high magnification depending on the magnification setting of the microscope for acquiring the image.
  • the placenta image on the left may be a low magnification image
  • the placenta image on the right may be a high magnification image.
  • the placenta image has a very complex structure, as shown, and it is difficult to distinguish its composition, for example villi, fibrin, and the like.
  • an experienced doctor or an analyst who sees the eye sees it directly and classifies it according to experience (eyeballing method).
  • eyeballing method since it relies on the subjective judgment of a doctor or an analyst, there is a problem that the accuracy may be slightly lower depending on the situation including the analyst's ability and condition.
  • the fibrin hypersedation diagnosis apparatus of the present invention analyzes the placenta image using an artificial intelligence algorithm trained to clearly distinguish each component of the placenta image, and diagnoses MPFD based thereon, accuracy and reliability for diagnosing MPFD Can be secured.
  • the learning of the artificial intelligence algorithm may perform learning based on a method of inputting a label (correct answer) by a doctor or an analyst for each of the components included in the placenta image, as shown in FIG. 5. In some cases, it may be performed by inputting parameter values for distinguishing villi and fibrin for learning of an artificial intelligence algorithm.
  • the learning of the artificial intelligence algorithm may be performed in various ways to clearly distinguish configurations included in the placenta image, and is not limited to the examples described above on this specification.
  • the fibrin and seizure diagnosis apparatus can receive the placenta image of the patient to be diagnosed and distinguish each configuration in the input placenta image.
  • the apparatus for diagnosing fibrin hyperdeposition may identify a portion corresponding to fibrin and a portion corresponding to villi in the input placenta image and perform a diagnosis of fibrin hyperdeposition. Diagnosis of fibrin hypercalmosis may be performed based on the extent to which fibrin wraps around the contour (or circumference) of the villi as described above, or the area occupied by villi and fibrin in the placenta image.
  • FIG. 6 shows an example of an image in which fibrin is more clearly displayed in a placenta image after division of a portion corresponding to fibrin is performed by the fibrin and deposition diagnosis apparatus.
  • the outer boundary portion is displayed so that the fibrinoid portion located in the left portion is distinguished from other portions.
  • various methods may be used to display the fibrinoid portion differently from other portions.
  • the fibrinoid portion may be displayed by overlapping with a color, pattern, etc. to distinguish it from other portions. At this time, the color for distinguishing the fibrinoid may be predetermined.
  • each configuration for example, a fibrinoid (or fibrin), villus, and background may be expressed by differently at least one of color and pattern. More specifically, as shown in FIGS. 7 to 10, the result image may be such that each configuration of the placenta image is distinguished by performing different color or pattern after performing multicolor cell staining.
  • a placental pathology slide may be scanned with an image scanning device, for example, Vectra, to generate a digital image (hereinafter, a'placental image') of the placental pathology slide.
  • the fibrin and sedimentation diagnosis apparatus can automatically identify a part of the placenta image corresponding to villi, fibrin, and background in the placenta image after being loaded into the Inform software.
  • Such a device for diagnosing fibrin hypersensitivity can diagnose MPFD without knowledge of placenta reading even by a pathologist who specializes in the placenta or a non-pathologist who is not a pathologist.
  • FIGS. 9 and 10 more specifically show examples of placenta images before and after the analysis is performed by the fibrin hyperdeposition diagnosis apparatus, and it can be seen that the fibrin hyperdeposition diagnosis apparatus provides clearer information about the placenta. .
  • FIG. 11 is a flowchart of a diagnosis operation of fibrin hyperdeposition in a device for diagnosing fibrin hyperdeposition according to an embodiment of the present invention.
  • the fibrin hypersedation diagnosis apparatus may acquire a placenta image of a mother.
  • the placenta image of the mother may be obtained by observing a pathological slide of the mother's placenta with a microscope.
  • the fibrin hypersedation diagnosis apparatus may identify a region corresponding to fibrin and a region corresponding to villi in the placenta image using a pre-trained artificial intelligence algorithm.
  • the fibrin hyperdeposition diagnosis apparatus may diagnose whether the condition of the mother is fibrin hyperdeposition based on the region corresponding to the fibrin and the region corresponding to the villi.
  • the operation of diagnosing whether the condition of the mother is fibrin and deposition is in the placenta image, a ratio between an area corresponding to the villi and an area corresponding to the fibrin and an area corresponding to the villi And an arrangement state of a region corresponding to the fibrin.
  • the operation of diagnosing whether the condition of the mother is fibrin and deposition is confirmed in the placenta image, a ratio of a region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi And, based on the above-identified ratio is more than the predetermined ratio, the condition of the mother can be diagnosed with the fibrin hyperdeposition.
  • the fibrin hypersedation diagnosis operation of the fibrin hypersedation diagnosis apparatus may further include an operation of learning an artificial intelligence algorithm and storing the learned artificial intelligence algorithm.
  • the operation of learning the artificial intelligence algorithm is to distinguish an area corresponding to the fibrin and an area corresponding to the villi from the placenta image for learning, based on input parameter values for distinguishing fibrin and villi in the placenta image for learning. It may include an operation to learn.
  • FIG. 12 is a block diagram of a device for diagnosing fibrin hypercalmosis according to an embodiment of the present invention.
  • the fibrin hypersedation diagnosis apparatus 1200 may include a memory 1201, an input/output interface 1203, a communication interface 1205, and/or a controller 1207.
  • the memory 1201 is a variety of data used by at least one component (input/output interface 1203, communication interface 1205, and/or control unit 1207) of the fibrin and deposition diagnosis device 1200, for example It is possible to store input data or output data for software (eg, a program) and related commands.
  • the memory 1203 may include volatile memory or nonvolatile memory.
  • the memory 1201 may store the learned artificial intelligence algorithm.
  • the learned artificial intelligence algorithm based on the input parameter values for distinguishing fibrin and villi in the placenta image for learning, an area corresponding to the fibrin in the placenta image for learning And an algorithm trained to classify an area corresponding to the villi.
  • parameter values that distinguish fibrin and villi may be input through the input/output interface 1205 or the communication interface 1207.
  • the input/output interface 1205 transfers commands or data input from a user or other external device to other component(s) of the fibrin hypersedosis diagnosis device 1200, or the fibrin hypersedation diagnosis device 1200, for example.
  • the command or data received from other component(s) of can be output to a user or another external device.
  • the communication interface 1207 may establish communication between the fibrin and the deposition diagnosis apparatus 1200 and an external device, for example.
  • the communication interface 1207 may be connected to a network through wireless communication or wired communication to communicate with an external device.
  • the control unit 1201 (also referred to as a control device or control circuit) includes at least one other component of the connected fibrin and deposition diagnosis device 1200 (eg, hardware components (eg, memory 1203), input/output interface 1205), and And/or the communication interface 1207) or software components), and can perform various data processing and operations.
  • the connected fibrin and deposition diagnosis device 1200 eg, hardware components (eg, memory 1203), input/output interface 1205), and And/or the communication interface 1207) or software components
  • the controller 1201 checks the placenta image of the mother and uses the learned artificial intelligence algorithm stored in the memory 1203 to determine the region corresponding to fibrin and the region corresponding to villi in the placenta image. Confirmation, and based on the region corresponding to the fibrin and the region corresponding to the villi, the condition of the mother can be diagnosed as fibrin hyperdeposition.
  • the controller 1201 may include, in the placenta image, at least one of a ratio between an area corresponding to the villi and an area corresponding to the fibrin, and an arrangement state of an area corresponding to the villi and an area corresponding to the fibrin.
  • the condition of the mother can be diagnosed as being normal or the fibrin.
  • control unit 1201 in the placenta image, checks the ratio of the region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi, and the identified ratio corresponds to the predetermined ratio On the basis of this, the condition of the mother can be diagnosed with the fibrin hypercalmosis.
  • the placenta image may be obtained through an input/output interface 1205 or a communication interface 1207 connected to a microscope that observes the pathological slide of the mother's placenta.
  • the fibrin hypersedation diagnosis apparatus 1200 may further include a display device and/or a speaker, and the controller 1201 controls the display device so that the state of the mother is the fibrin hypersedation. It is possible to output visual information indicating that it has been diagnosed, or to output a voice indicating that the mother's condition has been diagnosed as fibrin hypercalmosis by controlling the speaker.
  • Embodiments of this document include software that includes instructions stored on a machine-readable storage media (e.g., memory 113 (internal or external memory)).
  • the device is a device that can call a stored command from a storage medium and is operable according to the called command, and may include a fibrin hypersedation diagnosis device 1200 according to the disclosed embodiments.
  • the controller 1207 or processor
  • the controller may perform a function corresponding to the command directly or by using other components under the control of the controller.
  • Instructions can include code that is generated or executed by a compiler or interpreter.
  • the storage medium readable by the device may be provided in the form of a non-transitory storage medium.
  • 'non-transitory' means that the storage medium does not contain a signal and is tangible, but does not distinguish between data being stored semi-permanently or temporarily on the storage medium.
  • a method according to various embodiments disclosed in the present document may be provided as being included in a computer program product.
  • a computer-readable recording medium storing a computer program, an operation of identifying a placenta image of a mother, a region corresponding to fibrin and a villi in the placenta image using a learned artificial intelligence algorithm And instructions for causing the processor to perform a method comprising: identifying an area and diagnosing the state of the mother as fibrin and deposition based on an area corresponding to the fibrin and an area corresponding to the villi. can do.
  • a computer program stored in a computer-readable recording medium the operation of checking the placenta image of a mother, a region corresponding to fibrin and the villi in the placenta image using a learned artificial intelligence algorithm And instructions for causing the processor to perform a method comprising: identifying an area and diagnosing the state of the mother as fibrin and deposition based on an area corresponding to the fibrin and an area corresponding to the villi. can do.

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Abstract

Un appareil pour diagnostiquer des dépôts fibrinoïdes massifs périvilleux selon un mode de réalisation de la présente invention différencie automatiquement la fibrine des villosités dans des images du placenta en utilisant des algorithmes d'intelligence artificielle, et peut diagnostiquer des dépôts fibrinoïdes massifs périvilleux en fonction des positions, des pourcentages occupés, etc. de la fibrine et des villosités différenciées.
PCT/KR2019/018775 2019-01-02 2019-12-31 Appareil et méthode pour diagnostiquer des dépôts fibrinoïdes massifs périvilleux WO2020141847A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006507078A (ja) * 2002-11-26 2006-03-02 キンバリー クラーク ワールドワイド インコーポレイテッド 医療モニタリングシステム
KR20140018748A (ko) * 2012-08-03 2014-02-13 삼성전자주식회사 의료 영상에서 병변의 분석 장치 및 방법
KR101611488B1 (ko) * 2014-03-28 2016-04-12 재단법인 아산사회복지재단 의료 영상에서 아티팩트와 병변을 구분하는 방법
KR20170021189A (ko) * 2015-08-17 2017-02-27 삼성전자주식회사 의료영상 표시장치 및 의료영상 처리방법
KR20180040287A (ko) * 2016-10-12 2018-04-20 (주)헬스허브 기계학습을 통한 의료영상 판독 및 진단 통합 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006507078A (ja) * 2002-11-26 2006-03-02 キンバリー クラーク ワールドワイド インコーポレイテッド 医療モニタリングシステム
KR20140018748A (ko) * 2012-08-03 2014-02-13 삼성전자주식회사 의료 영상에서 병변의 분석 장치 및 방법
KR101611488B1 (ko) * 2014-03-28 2016-04-12 재단법인 아산사회복지재단 의료 영상에서 아티팩트와 병변을 구분하는 방법
KR20170021189A (ko) * 2015-08-17 2017-02-27 삼성전자주식회사 의료영상 표시장치 및 의료영상 처리방법
KR20180040287A (ko) * 2016-10-12 2018-04-20 (주)헬스허브 기계학습을 통한 의료영상 판독 및 진단 통합 시스템

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