CN112971821A - Device, method, equipment and medium for selecting treatment mode of chronic total occlusion lesion - Google Patents
Device, method, equipment and medium for selecting treatment mode of chronic total occlusion lesion Download PDFInfo
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Abstract
The application discloses a device, a method, equipment and a medium for selecting a treatment mode of chronic total occlusion lesions. Wherein the method comprises the following steps: a sensor for acquiring a CT angiographic image of a coronary artery; a processor, configured to determine, according to the plaque feature sample in the chronic total occlusion lesion, a component type and a component weight included in a chronic total occlusion lesion plaque feature in the CT angiography image; the processor is further used for determining a preprocessing mode of the chronic total occlusion lesion according to the fiber weight of the fiber component if the component type contained in the plaque feature is the fiber component. Through the technical scheme, more comprehensive influence factors about chronic total occlusion lesions can be obtained in a non-invasive mode, so that CTO lesions suitable for Percutaneous Coronary Intervention (PCI) can be more accurately selected, and the evaluation burden of an evaluated object is relieved in the CTO lesion evaluation process before PCI.
Description
Technical Field
The application belongs to the technical field of computers, and particularly relates to a device, a method, equipment and a medium for selecting a chronic total occlusion lesion processing mode.
Background
Atherosclerotic coronary heart disease is primarily caused by stenosis of the coronary arteries, often requiring interventional procedures. To ensure the success rate of the interventional procedure, the interventional procedure needs to be pre-evaluated prior to treatment.
In the prior art, the pre-evaluation mode of the treatment to be intervened needs to be evaluated according to the detection result after various detections are performed on a patient by various devices. However, some evaluation methods have incomplete evaluation parameters, resulting in inaccurate evaluation results. In order to obtain more comprehensive evaluation parameters, some of the parameters need to be obtained through an invasive detection mode, which bears great psychological and physical burden for patients.
Disclosure of Invention
In view of the above, the present application provides a device, method, apparatus and medium for selecting a chronic total occlusion lesion treatment mode that solves or partially solves the above-mentioned problems.
The embodiment of the application provides a selection device for a chronic total occlusion lesion treatment mode, which comprises:
a sensor for acquiring a CT angiographic image of a chronic total occlusion lesion in a coronary artery;
a processor, configured to determine, according to the plaque feature sample in the chronic total occlusion lesion, a component type and a component weight included in the plaque feature of each chronic total occlusion lesion in the CT angiography image;
the processor is further used for determining a preprocessing mode of the chronic total occlusion lesion according to the fiber weight of the fiber component if the component type contained in the plaque feature is the fiber component.
Optionally, the processor is further configured to: determining a pretreatment mode of the chronic total occlusion lesion according to the fiber weight of the fiber component, wherein the pretreatment mode comprises the following steps: and if the fiber weight is not more than the first threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
Optionally, if the plaque feature further comprises: a fat component;
the processor is further configured to determine a pre-treatment modality for the chronic total occlusion lesion, including:
the processor is further configured to determine a fat weight of the fat component from the plaque feature sample;
and if the fiber weight is not larger than a first threshold value and the fat weight is larger than a second threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
Optionally, the processor is further configured to: obtaining historical guidewire opening records related to the chronic total occlusion lesions;
and if the historical guide wire opening record contains a failure record, determining that the pretreatment mode of the coronary artery is cautious guide wire opening.
Optionally, the processor is further configured to: obtaining target individual information related to the chronic total occlusion lesion;
the determining a pretreatment mode for the chronic total occlusion lesion comprises:
determining individual characteristic weight corresponding to the target individual characteristic information;
and if the individual characteristic weight is not greater than a third threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
Optionally, the target individual characteristic information includes: operation success or failure information, near-end blunt occlusion stump information, bending state information, occlusion length information, occlusion duration information, near-entrance side branch information and exit branch information.
Optionally, the processor is further configured to generate a plaque feature sample, including: acquiring a CT angiography image containing plaque characteristics in a non-invasive angiography mode;
analyzing the CT angiography image containing the plaque characteristics to determine the component types and the component weights respectively contained in the plaque characteristics;
generating the plaque feature sample comprising the component types and the component weights.
The embodiment of the application provides a method for selecting a treatment mode of a chronic total occlusion lesion, which comprises the following steps:
acquiring a CT angiography image of a chronic total occlusion lesion in a coronary artery;
determining component types and component weights contained in each plaque feature in the CT angiography image according to the plaque feature sample;
and if the plaque characteristics contain fiber components, determining a treatment mode aiming at the chronic total occlusion lesion according to the fiber weight of the fiber components.
An embodiment of the present application provides an electronic device, including: a memory and a processor; wherein the content of the first and second substances,
the memory is used for storing programs;
the processor, coupled with the memory, to execute the program stored in the memory to:
acquiring a CT angiography image of a chronic total occlusion lesion in a coronary artery;
determining component types and component weights contained in each plaque feature in the CT angiography image according to the plaque feature samples in the chronic total occlusion lesions;
and if the component type contained in the plaque feature is a fiber component, determining a pretreatment mode of the chronic total occlusion lesion according to the fiber weight of the fiber component.
An embodiment of the present application provides a computer storage medium for storing a computer program, where the computer program enables a computer to implement the following method when executed:
acquiring a CT angiography image of a chronic total occlusion lesion in a coronary artery;
determining component types and component weights contained in each plaque feature in the CT angiography image according to the plaque feature samples in the chronic total occlusion lesions;
and if the component type contained in the plaque feature is a fiber component, determining a pretreatment mode of the chronic total occlusion lesion according to the fiber weight of the fiber component.
The scheme provided by the embodiment of the application is used for acquiring a CT angiography image of chronic total occlusion lesions in coronary arteries through the sensor; the processor is used for determining the component type and the component weight contained in each plaque feature in the CT angiography image according to the plaque feature sample; the processor is further used for determining a preprocessing mode of the chronic total occlusion lesion according to the fiber weight of the fiber component if the component type contained in the plaque feature is the fiber component. According to the technical scheme, more comprehensive influence factors about the chronic total occlusion lesions can be obtained in a non-invasive mode, so that a processing mode suitable for the chronic total occlusion lesions can be selected more accurately, and the evaluation burden of an evaluated object is relieved in the evaluation process.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts. In the drawings:
FIG. 1 is a schematic structural diagram of a device for selecting a treatment mode for a chronic total occlusion lesion according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a plaque feature sample generation method according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a method for selecting a chronic total occlusion lesion processing mode according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Before the technical solutions provided by the embodiments of the present application are described, a brief description of specific terms in this document will be provided.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a" and "an" typically include at least two, but do not exclude the presence of at least one.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe XXX in the embodiments of the present application, these XXX should not be limited to these terms. These terms are only used to distinguish XXX from each other. For example, a first XXX may also be referred to as a second XXX, and similarly, a second XXX may also be referred to as a first XXX, without departing from the scope of embodiments of the present application. The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a monitoring", depending on the context. Similarly, the phrase "if it is determined" or "if it is monitored (a stated condition or event)" may be interpreted as "when determining" or "in response to determining" or "when monitoring (a stated condition or event)" or "in response to monitoring (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
It should be noted that, in the actual process of performing an opening operation, the plaque opening is realized by the intervention of a guide wire as a main means at present, and the success rate or the opening success rate referred to herein can be understood as a guide wire passing rate or a guide wire opening success rate. If the guidewire is able to successfully pass through the plaque, the opening may be considered successful. Before the coronary artery opening treatment is performed, the success rate of opening needs to be evaluated. In the evaluation, various data of the plaque needs to be detected, such as whether there has been a history of failed previous cardiac surgery, whether an occlusion exists, and the specific occlusion condition, etc. These results directly affect the success rate of coronary artery patency surgery. If the evaluation result is not accurate, the operation may be misled, and if the operation fails, the patient is unnecessarily charged and suffers from the operation pain. Therefore, a technical solution capable of comprehensively evaluating the success rate of coronary artery patency is needed.
The execution main body of the method provided by the embodiment of the application can be one device or a plurality of devices. The device may be, but is not limited to, a device integrated on any terminal device such as a smart phone, a tablet computer, a PDA (Personal Digital Assistant), a smart television, a laptop computer, a desktop computer, and an intelligent wearable device. A non-invasive angiographic apparatus is not particularly limited, but refers to an apparatus that enables obtaining an angiogram without creating a visible wound on the individual.
Fig. 1 is a schematic structural diagram of a device for selecting a treatment mode of a chronic total occlusion lesion according to an embodiment of the present application. As can be seen from fig. 1, the apparatus comprises the following modules:
a sensor 101 for acquiring CT angiographic images of chronic total occlusion lesions in the coronary arteries.
And the processor 102 is used for determining the component type and the component weight contained in each plaque feature in the CT angiography image according to the plaque feature sample in the chronic total occlusion lesion.
The processor 102 is further configured to determine a preprocessing mode for the chronic total occlusion lesion according to a fiber weight of the fiber component if the component type included in the plaque feature is a fiber component.
Further, the apparatus may also include a display for outputting a CT angiography image (CCTA). The processor 102 may be a local processor or a processor in a cloud server. The sensor and the processor may be located on the same device, or the sensor may be located locally and the processor may be located on a remote server. The plaque referred to herein is a Chronic Total Occlusion (CTO).
It should be noted that, by means of invasive techniques such as intravascular ultrasound (IVUS), not only can the influence data of the intravascular plaque be acquired, but also the type of the intravascular plaque can be accurately known, for example, the type of the plaque can be accurately distinguished by an IVUS inspection method includes: necrotic lipid core, fibrolipid mixed plaque, fibrous plaque, dense calcified plaque, and the like. However, obtaining accurate plaque types by IVUS requires the patient to be physically traumatized by invasive testing. Therefore, the technical scheme of the application does not adopt the IVUS mode in the process of determining the appropriate treatment mode of an individual (such as a patient and a test object).
In addition, although the blood vessel image data can be acquired in a non-invasive manner through the CT angiography, the image data cannot accurately and truly reflect the plaque type in the blood vessel, for example, the calcification degree can only be simply known, and then the success rate of opening the guide wire can be directly judged based on the calcification degree. The evaluation mode is simple and rough, and more people need to judge the success rate of the guide wire opening according to personal experience. In other words, angiographic data is acquired by a CT angiographic apparatus, but this data cannot be accurately used to assess the success rate of chronic total occlusion patency opening surgery.
In practical applications, the sensor may be an X-ray photographing probe or the like. The processor may be a local computer device for recognizing and processing the acquired CT angiography image, or a cloud server. After a CT angiographic image of a chronic total occlusion lesion in a coronary artery is acquired by a sensor, the newly acquired CT angiographic image needs to be identified using a plaque feature sample. Specifically, it is necessary to acquire the component types and component weights included in the plaque features using the plaque feature sample. The ingredient types may include fiber ingredients, fat ingredients, fiber fat blends, dense calcifications, and the like. The component weight can be understood as the proportion of a certain component in the plaque. The component types and component ratios can be displayed based on a CT angiography image (CCTA), and the analysis results can also be directly output, for example, the output results are component A, component A%, component B, component B% and the like.
As described above, in the prior art, whether plaque can be treated by using a guide wire opening method is roughly determined according to whether calcification exists or not. The judgment mode is not accurate, and the reliability of the judgment result that the guide wire can be used for opening cannot be guaranteed. Thus, in the present scenario, where calcification is not so severe, fine and accurate differentiation continues. That is, the fiber component and the weight of the fiber component are determined. Because the fiber component proportion is found to have direct influence on the success rate of the opening operation in the actual guide wire opening operation. That is, the higher the fiber content, the lower the corresponding guidewire opening success rate.
Therefore, after acquiring the fiber weight of a certain plaque, the fiber weight is compared with the first threshold value, and when the fiber weight is not more than the first threshold value, the guide wire opening treatment can be performed on the plaque in the chronic total occlusion lesion. The first threshold may be a value set empirically, and for example, when the fiber weight is found to exceed c% of the plaque during the actual guide wire opening process, the opening success rate is less than 50%, and the c% may be used as the first threshold. The size of the first threshold may be set according to actual operation, and is only used as an example, and does not limit the technical solution of the present application.
In one or more embodiments of the present application, the blob features further include: a fat component. In determining a pretreatment mode for a chronic total occlusion lesion, the processor is further configured to determine a fat weight of the fat component based on the plaque feature sample. And if the fiber weight is not larger than a first threshold value and the fat weight is larger than a second threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
In practical application, when judging the opening of the guide wire, the influence of fibers and fat in the plaque needs to be comprehensively considered. The fat in the plaque does not directly cause the inability to perform the guide wire opening, but if the fiber is too large, the inability to perform the guide wire opening is directly caused. Therefore, when analyzing a CT angiography image based on a plaque feature sample, if a fat component is contained in a plaque, it is necessary to analyze a fat weight of the fat in the plaque. In the present embodiment, the weight is understood as the ratio of a certain component.
After acquiring the fiber weight of the fiber component and the fat weight of the fat component contained in a certain plaque, the fiber weight and the fat weight are compared with a first threshold value and a second threshold value, respectively. It is necessary to satisfy that in the case that the fiber weight is not greater than the first threshold value and the fat weight is not less than the second threshold value, the pretreatment mode of the chronic total occlusion lesion can be considered as opening of the guide wire. If the fiber weight is larger than the first threshold value, the success rate of guiding opening is low, and the specific treatment mode needs to be analyzed individually.
In practical application, special situations of individuals need to be considered according to different individuals. For example, the processor is further configured to: obtaining historical guidewire opening records related to the chronic total occlusion lesions; and if the historical guide wire opening record contains a failure record, determining that the pretreatment mode of the chronic total occlusion lesion is prudent guide wire opening. In addition, in practical applications, if the plaque is found to be densely calcified, the guide wire opening is not recommended (a lower success rate score is fed back after being processed by the processor, or the display displays 'cautious guide wire opening', 'guide wire opening is not recommended', and the like) in a highlight mode.
That is, prior to evaluation based on CT angiography images, a preliminary identification is made as to whether the individual is eligible for guidewire access. It is easy to understand that if an individual has a history guide wire opening record before, and the history guide wire opening record is a failure record, the guide wire opening for the individual is easy to fail again. Of course, the failure cause can also be determined by sufficiently analyzing the failure record, and is avoidable, and it can be considered to adopt the guide wire opening again for the case. Generally, if the cause of failure is unavoidable, guidewire opening is prohibited for the plaque.
In one or more embodiments of the present application, the processor is further configured to: obtaining target individual information related to the chronic total occlusion lesion;
the determining a pre-treatment modality for the chronic total occlusion lesion, the processor further configured to: determining individual characteristic weight corresponding to the target individual characteristic information; and if the individual characteristic weight is not greater than a third threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
In practical applications, in order to perform a more comprehensive evaluation on an individual, not only the analysis result of the CT angiography image needs to be referred to, but also the special situation of the individual needs to be considered. It is easy to understand that each target individual has its corresponding target individual characteristic information, and these target individual characteristic information may include: at least one of near-end blunt occlusion stump information, bending state information, occlusion length information, occlusion duration information, near-entrance side branch information, and exit side branch information.
In one application scenario, the fiber weight of the fiber component and the fat weight of the fat component may be obtained by analyzing the CT angiography image. Further, the fiber weight is compared to a first threshold value, and the fat weight is compared to a second threshold value. And comparing the individual feature weight to a third threshold.
And determining the pretreatment mode of guide wire opening which can be adopted for the chronic total occlusion lesion of the individual under the condition that the fiber weight is not more than the first threshold value, the fat weight is not less than the second threshold value and the individual characteristic weight is not more than the third threshold value.
In practical applications, the pretreatment mode can be obtained through the above embodiment. But for different individuals (patients) there is more or less personal information that is specific to itself, such as having some medical history. The personal information can indirectly or directly influence the success rate of the guide wire opening. In order to more comprehensively evaluate the success rate, the personal information needs to be comprehensively considered.
For ease of understanding, the following is specifically exemplified: it should be noted that, in this embodiment, the personality characteristic weight is obtained by combining the total scores of the various scores.
The proximal blunt occlusion stump information here means whether or not a blood vessel proximal blunt occlusion stump exists in the coronary artery, and the surgical score is 1 if the proximal blunt occlusion stump exists, and 0 if the proximal blunt occlusion stump does not exist.
The curve state information here means whether or not the coronary artery has a vessel curve state information, and if it exists, the surgical score is 1, and if it does not exist, the surgical score is 0.
The occlusion length information here indicates whether or not a vascular occlusion having a length exceeding 20mm exists in the plaque coronary artery, and if so, the surgical score is 1, and if not, the surgical score is 0.
The occlusion duration information here indicates whether the coronary artery of the plaque has a duration exceeding 12 months or the occlusion duration is unclear, and if it is present, the surgical score is 1, and if it is not present, the surgical score is 0.
The proximal-portal side branch information here means whether or not a side branch vessel is present near the portal of the coronary artery of the plaque, and the surgical score is 1 if present, and 0 if not present.
The exit branch information here indicates whether or not a branch blood vessel is present at the exit of the coronary artery of the plaque, and if present, the score of the surgery score is 1, and if not, the score of the surgery score is 0.
Here, the plaque type is a necrotic lipid core, the surgical score is 0, the surgical score is 1 if the plaque type is a fibrolipid mixed plaque, the surgical score is 2 if the plaque type is a fibrous plaque, and the surgical score is 3 if the plaque type is a dense calcified plaque.
And after obtaining the operation scoring results of the various influencing factors, further determining the operation total score of the plaque. For example, summing the operation score scores of the various factors, if the total score of the plaque is greater than or equal to 4, it is very difficult to indicate that the chronic total occlusion lesion is open; if the total score of the plaque is equal to 3 points, the chronic total occlusion lesion is difficult to open; if the total score of the plaque is equal to 2 points, the chronic total occlusion lesion is indicated to have medium difficulty in opening; if the total score of the plaque is equal to 1 point, the chronic total occlusion lesion is simple to open; if the total score of the plaque is equal to 0, it is very simple to indicate that the chronic total occlusion lesion is open. From the total score, the smaller the score is, the lower the opening difficulty is, and conversely, the larger the score is, the higher the opening difficulty is. It should be noted that the scoring method is not fixed, and is only used as an example, and the score value and the scoring method may be adjusted according to actual situations.
In addition, the method for determining the total score is not limited to the above embodiment, and a scoring model may be pre-established, and the scoring result may be input into the scoring model, so that an accurate scoring result may be automatically obtained.
Then, the obtained total score is used as an individual characteristic weight, the individual characteristic weight is compared with a third threshold, if the third threshold is 3, if the individual characteristic weight is less than or equal to 3, chronic total occlusion lesion guide wire opening treatment is recommended; if the individual characteristic weight is more than 3, a conservative treatment is recommended or a specific opening scheme is made for the individual.
In one or more embodiments of the present application, fig. 2 is a schematic flowchart of a plaque feature sample generation method provided in this embodiment of the present application. As can be seen from fig. 2, the generating manner of the plaque feature sample includes: 201: and acquiring a CT angiography image containing plaque characteristics in a non-invasive angiography mode. 202: and analyzing the CT angiography image containing the plaque characteristics to determine the component types and the component weights respectively contained in the plaque characteristics. 203: generating the plaque feature sample comprising the component types and the component weights.
For example, each sample in a sample group is numbered, and a plaque type corresponding to each sample number is obtained in an invasive intravascular ultrasound mode; determining scores corresponding to the sample numbers through the noninvasive angiography equipment; and establishing a corresponding relation between the plaque types and the scores based on the sample numbers. The individual referred to herein may be a patient who requires testing for chronic total occlusion patency surgery.
For example, assuming 207 patients in a historical sample group need chronic total occlusion lesion patency pretreatment, i.e., patency preoperative assessment, individual patient samples in the sample group are numbered for ease of differentiation and management. One of the patients C will be described as an example. Firstly, acquiring contrast data of a blood vessel corresponding to a patient C in a non-invasive mode through a CT angiography device. The obtained contrast data is analyzed, and the ratio of the fiber component to the ratio of the fat component in each plaque feature in the patient C can be obtained. Meanwhile, the patient C is subjected to relevant operation treatment modes according to a traditional method, so that the operation treatment results of all plaques can be obtained. Based on the respective plaque surgery processing results of 207 patients in the historical sample group, the influence of the fiber component proportion and the fat component proportion on the surgery success rate is determined. Further, a first threshold for assessing the effect of the fiber component fraction (i.e., fiber weight) on the surgical success rate and a second threshold for assessing the effect of the fat component fraction (i.e., fat weight) on the surgical success rate may be determined based on the historical samples.
Further, by establishing the correspondence between the plaque score and the plaque type contained in 207 patients in the sample group through the above steps, the following analysis results can be obtained: 30-75 HU for necrotic lipid core (e.g., 80% of fat component), 76-130 HU for fibrolipid mixed plaque (e.g., 50% of each of fiber and fat), 131-350 HU for fibrous plaque (e.g., 80% of fiber component), and 351HU for dense calcified plaque.
Obtaining a plaque characteristic sample (namely, plaque type) according to the scheme, and after obtaining the angio-plasty of the coronary artery of the individual by using the non-invasive CT angiography device, obtaining at least one plaque type contained in the chronic total occlusion lesion according to the preset plaque characteristic sample. By the technical scheme, the plaque type of the patient can be accurately detected in a non-invasive mode, so that the evaluation on the operation success rate of the patient is realized.
Based on the above embodiments, the sensor is used for acquiring a CT angiography image of a coronary artery; the processor is used for determining the component type and the component weight contained in each plaque feature in the CT angiography image according to the plaque feature sample; the processor is further used for determining a preprocessing mode of the chronic total occlusion lesion according to the fiber weight of the fiber component if the component type contained in the plaque feature is the fiber component. According to the technical scheme, more comprehensive influence factors about CTO pathological changes can be obtained in a non-invasive mode, so that CTO pathological changes suitable for Percutaneous Coronary Intervention (PCI) can be selected more accurately, and the evaluation burden of an evaluated object is relieved in the CTO pathological change evaluation process before the PCI.
Fig. 3 is a flowchart illustrating a method for selecting a chronic total occlusion lesion processing mode according to an embodiment of the present application. The method specifically comprises the following steps:
301: CT angiographic images of chronic total occlusion lesions in coronary arteries are acquired.
302: and determining the component type and the component weight contained in each plaque feature in the CT angiography image according to the plaque feature sample.
303: and if the component type contained in the plaque feature is a fiber component, determining a pretreatment mode of the chronic total occlusion lesion according to the fiber weight of the fiber component.
Optionally, the determining a pretreatment mode for the chronic total occlusion lesion according to the fiber weight of the fiber component comprises:
and if the fiber weight is not more than the first threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
Optionally, if the plaque feature further comprises: a fat component;
the determining a pretreatment mode for the chronic total occlusion lesion comprises:
the processor is further configured to determine a fat weight of the fat component from the plaque feature sample;
and if the fiber weight is not larger than a first threshold value and the fat weight is larger than a second threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
Optionally, the processor is further configured to: obtaining historical guidewire opening records related to the chronic total occlusion lesions;
and if the historical guide wire opening record contains a failure record, determining that the pretreatment mode of the chronic total occlusion lesion is to forbid guide wire opening.
Optionally, the processor is further configured to: obtaining target individual information related to the chronic total occlusion lesion;
the determining a pretreatment mode for the chronic total occlusion lesion comprises:
determining individual characteristic weight corresponding to the target individual characteristic information;
and if the individual characteristic weight is not greater than a third threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
Optionally, the target individual characteristic information includes: near-end blunt occlusion stump information, bending state information, occlusion length information, occlusion duration information, near-entrance side branch information, and exit side branch information.
Optionally, the generating manner of the plaque feature sample includes:
acquiring a CT angiography image containing plaque characteristics in a non-invasive angiography mode;
analyzing the CT angiography image containing the plaque characteristics to determine the component types and the component weights respectively contained in the plaque characteristics;
generating the plaque feature sample comprising the component types and the component weights.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 4, the electronic apparatus includes: a memory 41 and a processor 42; wherein the content of the first and second substances,
the memory 41 is used for storing programs;
the processor 42, coupled with the memory, is configured to execute the program stored in the memory to:
acquiring a CT angiography image of a chronic total occlusion lesion in a coronary artery;
determining component types and component weights contained in each plaque feature in the CT angiography image according to the plaque feature samples in the chronic total occlusion lesions;
and if the component type contained in the plaque feature is a fiber component, determining a pretreatment mode of the chronic total occlusion lesion according to the fiber weight of the fiber component.
The memory 41 described above may be configured to store other various data to support operations on the computing device. Examples of such data include instructions for any application or method operating on a computing device. The memory 41 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The processor 42 may also implement other functions besides the above functions when executing the program in the memory 41, which may be specifically referred to the description of the foregoing embodiments.
Further, as shown in fig. 4, the electronic device further includes: a display 43, a power supply component 44, a communication component 44, and the like. Only some of the components are schematically shown in fig. 4, and it is not meant that the electronic device comprises only the components shown in fig. 4.
Accordingly, embodiments of the present application also provide a computer-readable storage medium storing a computer program, which, when executed by a computer, can implement the steps or functions of the method for selecting a chronic total occlusion lesion processing mode provided in the above embodiments.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should 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; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A device for selecting a treatment modality for a chronic total occlusion lesion, the device comprising:
a sensor for acquiring a CT angiographic image of a chronic total occlusion lesion in a coronary artery;
a processor, configured to determine, according to the plaque feature sample in the chronic total occlusion lesion, a component type and a component weight included in the plaque feature of each chronic total occlusion lesion in the CT angiography image;
the processor is further used for determining a preprocessing mode of the chronic total occlusion lesion according to the fiber weight of the fiber component if the component type contained in the plaque feature is the fiber component.
2. The apparatus of claim 1, wherein determining a pretreatment modality for the chronic total occlusion lesion based on the fiber weight of the fiber component comprises:
and if the fiber weight is not more than the first threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
3. The selection device of claim 1, wherein if the plaque feature further comprises: a fat component;
the determining a pretreatment mode for the chronic total occlusion lesion comprises:
the processor is further configured to determine a fat weight of the fat component from the plaque feature sample;
and if the fiber weight is not larger than a first threshold value and the fat weight is larger than a second threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
4. The apparatus of claim 1, wherein the processor is further configured to: obtaining historical guidewire opening records related to the chronic total occlusion lesions;
and if the historical guide wire opening record contains a failure record, determining that the pretreatment mode of the chronic total occlusion lesion is prudent guide wire opening.
5. The apparatus of claim 1, wherein the processor is further configured to: obtaining target individual information related to the chronic total occlusion lesion;
the determining a pretreatment mode for the chronic total occlusion lesion comprises:
determining individual characteristic weight corresponding to the target individual characteristic information;
and if the individual characteristic weight is not greater than a third threshold value, determining that the pretreatment mode of the chronic total occlusion lesion is guide wire opening.
6. The apparatus of claim 5, wherein the target individual characteristic information comprises: near-end blunt occlusion stump information, bending state information, occlusion length information, occlusion duration information, near-entrance side branch information, and exit side branch information.
7. The apparatus of claim 1, wherein the plaque feature samples are generated in a manner comprising:
acquiring a CT angiography image containing plaque characteristics in a non-invasive angiography mode;
analyzing the CT angiography image containing the plaque characteristics to determine the component types and the component weights respectively contained in the plaque characteristics;
generating the plaque feature sample comprising the component types and the component weights.
8. A method for selecting a treatment modality for a chronic total occlusion lesion, the method comprising:
acquiring a CT angiography image of a chronic total occlusion lesion in a coronary artery;
determining component types and component weights contained in each plaque feature in the CT angiography image according to the plaque feature sample;
and if the plaque characteristics contain fiber components, determining a treatment mode aiming at the chronic total occlusion lesion according to the fiber weight of the fiber components.
9. An electronic device, comprising: a memory and a processor; wherein the content of the first and second substances,
the memory is used for storing programs;
the processor, coupled with the memory, to execute the program stored in the memory to:
acquiring a CT angiography image of a chronic total occlusion lesion in a coronary artery;
determining component types and component weights contained in each plaque feature in the CT angiography image according to the plaque feature samples in the chronic total occlusion lesions;
and if the component type contained in the plaque feature is a fiber component, determining a pretreatment mode of the chronic total occlusion lesion according to the fiber weight of the fiber component.
10. A computer storage medium storing a computer program which, when executed by a computer, causes the computer to perform the method of:
acquiring a CT angiography image of a chronic total occlusion lesion in a coronary artery;
determining component types and component weights contained in each plaque feature in the CT angiography image according to the plaque feature samples in the chronic total occlusion lesions;
and if the component type contained in the plaque feature is a fiber component, determining a pretreatment mode of the chronic total occlusion lesion according to the fiber weight of the fiber component.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4353175A1 (en) * | 2022-10-11 | 2024-04-17 | Koninklijke Philips N.V. | Providing guidance for a treatment procedure on an occluded vessel |
| WO2024079108A1 (en) * | 2022-10-11 | 2024-04-18 | Koninklijke Philips N.V. | Providing guidance for a treatment procedure on an occluded vessel |
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| US20040133094A1 (en) * | 2002-10-24 | 2004-07-08 | Christoph Becker | Method and data processing device to support diagnosis and/or therapy of a pathological change of a blood vessel |
| US20070260141A1 (en) * | 2006-03-22 | 2007-11-08 | Volcano Corporation | Automated lesion analysis based upon automatic plaque characterization according to a classification criterion |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040133094A1 (en) * | 2002-10-24 | 2004-07-08 | Christoph Becker | Method and data processing device to support diagnosis and/or therapy of a pathological change of a blood vessel |
| US20070260141A1 (en) * | 2006-03-22 | 2007-11-08 | Volcano Corporation | Automated lesion analysis based upon automatic plaque characterization according to a classification criterion |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4353175A1 (en) * | 2022-10-11 | 2024-04-17 | Koninklijke Philips N.V. | Providing guidance for a treatment procedure on an occluded vessel |
| WO2024079108A1 (en) * | 2022-10-11 | 2024-04-18 | Koninklijke Philips N.V. | Providing guidance for a treatment procedure on an occluded vessel |
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