Auxiliary diagnostic information providing apparatus and method, and computer readable storage medium

Abstract

The invention discloses an auxiliary diagnosis information providing device and method and a computer readable storage medium. The device obtains sample detection data and a brain scanning image of a detection object through a data obtaining module; the first decision module is used for determining diagnosis information of the detection object based on the sample detection data; the second decision-making module is used for acquiring feature distribution information of the brain scanning image; and the control module is used for outputting an auxiliary diagnosis result of the detection object based on the feature distribution information and the diagnosis information. Therefore, effective information can be supplemented through the diagnosis information in the sample detection data when the focus position is difficult to recognize in the brain scanning image, effective information can be supplemented through the brain scanning image when the specificity is low due to the influence of a time window and similar symptoms in the sample detection data, and the focus position can be recognized by combining the effective information of two dimensions. While the detection cost is reduced, the auxiliary diagnosis range and the detection accuracy of cerebral diseases can be effectively expanded, and the application universality of auxiliary diagnosis is further improved.

Description

Technical Field

[0001] This application relates to the field of medical device technology, and in particular to devices and methods for providing auxiliary diagnostic information, and computer-readable storage media. Background Technology

[0002] Existing auxiliary diagnostic information devices typically use computed tomography (CT) or magnetic resonance imaging (MRI) to assess a patient's brain condition. However, CT and MRI are expensive, time-consuming, and slow to produce results, resulting in poor timeliness, which is detrimental to the auxiliary diagnosis of diseases requiring rapid intervention, such as stroke, central nervous system infections, and acute encephalopathy. Existing auxiliary diagnostic information devices can also assess a patient's brain condition through non-invasive brain scans such as microwave, infrared, and electroencephalography (EEG), which are faster and cheaper than CT and MRI. However, these non-invasive methods are difficult to identify in brain scan images, such as small cerebral hemorrhages or ischemic points, leading to a high false positive rate. Alternatively, stroke can be diagnosed by measuring blood biomarker concentrations; however, this method cannot pinpoint the lesion location and is susceptible to interference from other similar symptoms, resulting in poor specificity and a high false positive rate. Therefore, the practicality of existing auxiliary diagnostic information devices is limited, hindering their further application in auxiliary diagnosis.

[0003] In view of this, there is an urgent need for a low-cost, high-accuracy auxiliary diagnostic information providing device to improve the application scope of auxiliary diagnosis. Summary of the Invention

[0004] To address the aforementioned technical problems, this application provides an auxiliary diagnostic information providing device and method, and a computer-readable storage medium.

[0005] To address the aforementioned problems, this application provides a first technical solution: an auxiliary diagnostic information providing device, comprising a data acquisition module, a first decision module, a second decision module, and a control module; the data acquisition module is used to acquire sample detection data of a test subject and to acquire brain scan images of the test subject; the first decision module is connected to the data acquisition module and is used to determine diagnostic information of the test subject based on a comparison between the sample detection data and a preset threshold; the second decision module is connected to the data acquisition module and is used to perform image processing on the brain scan images to obtain feature distribution information of the brain scan images; the control module is connected to both the first and second decision modules and is used to output auxiliary diagnostic results for the test subject based on the feature distribution information and the diagnostic information.

[0006] Optionally, the first decision module is used to determine the first diagnostic information of the test object when the comparison relationship of the sample detection data meets the first preset condition. The first diagnostic information is used to indicate that the test object tends to a first disease type. The control module is used to correct the first diagnostic information according to the feature distribution information to output the auxiliary diagnostic result of the test object.

[0007] Optionally, the first decision module is used to determine the second diagnostic information of the test object when the comparison relationship of the sample detection data meets the second preset condition. The second diagnostic information is used to indicate that the test object cannot locate the disease type. The feature distribution information is used to indicate the distribution changes of different brain regions of the test object. The control module is used to determine the auxiliary diagnostic result of the test object based on the feature distribution information.

[0008] Optionally, the data acquisition module is used to continuously acquire brain scan images of the test subject from the brain scanning device; the control module is used to acquire feature distribution information of the brain scan images transmitted by the second decision module, and when the feature distribution information indicates that a change has occurred in the brain region of the test subject, obtain a blood test recommendation plan for the test subject based on the feature distribution information.

[0009] Optionally, the above-mentioned blood test recommendation scheme includes recommended test items; the above-mentioned data acquisition module is also used to acquire sample test data corresponding to the above-mentioned recommended test items from the blood test equipment; the above-mentioned first decision module is used to determine the diagnostic information of the above-mentioned test object based on the comparison relationship between the sample test data of the above-mentioned recommended test items and the above-mentioned preset threshold.

[0010] Optionally, the data acquisition module is used to acquire brain scan images of the test subject from a brain scanning device, the brain scanning device including multiple scanning modes; the control module is used to: acquire diagnostic information from the first decision module, the diagnostic information being used to indicate the disease tendency of the test subject; calculate diagnostic hit data corresponding to different scanning modes of the brain scanning device based on the diagnostic information; and generate a recommended scanning plan for the brain scanning device based on the diagnostic hit data of multiple scanning modes.

[0011] Optionally, the recommended scanning scheme includes the recommended scanning mode of the brain scanning device and / or the scanning parameters corresponding to the recommended scanning mode. The scanning parameters include at least one of the classification threshold, transmission frequency band, number of scanning angles, and scanning duration of the brain scanning device.

[0012] Optionally, the data acquisition module is further configured to acquire case information of the test subject; the control module is connected to the data acquisition module, and the control module is configured to acquire the case information from the data acquisition module, and calculate the diagnostic hit data for different scanning methods based on the diagnostic information and the case information.

[0013] To address the aforementioned issues, this application provides a second technical solution: a method for providing auxiliary diagnostic information, comprising: acquiring sample detection data of a test subject and acquiring a brain scan image of the test subject; determining diagnostic information of the test subject based on a comparison between the sample detection data and a preset threshold; performing image processing on the brain scan image to obtain feature distribution information of the brain scan image; and outputting an auxiliary diagnostic result of the test subject based on the feature distribution information and the diagnostic information.

[0014] To address the aforementioned issues, this application provides a third technical solution: an auxiliary diagnostic information providing device, comprising a blood testing device, a brain scanning device, and a processor; the blood testing device is used to acquire sample testing data of the test subject; the brain scanning device is used to acquire brain scanning images of the test subject; the processor is connected to both the blood testing device and the brain scanning device to execute program instructions to implement the above-mentioned auxiliary diagnostic information providing method.

[0015] To address the aforementioned problems, this application provides a fourth technical solution: an auxiliary diagnostic information providing device, comprising a first data acquisition module, a second data acquisition module, and a control decision module; the first data acquisition module is used to acquire sample detection data of the test object; the second data acquisition module is used to acquire brain scan images of the test object; the control decision module is connected to the first data acquisition module and the second data acquisition module respectively, and the control decision module is used to: acquire the sample detection data and the brain scan images; perform image processing on the brain scan images to obtain feature distribution information of the brain scan images; and output auxiliary diagnostic results for the test object based on the feature distribution information and the sample detection data.

[0016] To address the aforementioned problems, this application provides a fifth technical solution: a computer-readable storage medium storing program instructions that can be executed by a processor to implement the above-described method.

[0017] This application provides an auxiliary diagnostic information providing device and method, and a computer-readable storage medium. The device acquires sample detection data and brain scan images of the test subject through a data acquisition module; a first decision module determines diagnostic information of the test subject based on a comparison between the sample detection data and a preset threshold; a second decision module performs image processing on the brain scan images to obtain feature distribution information; and a control module outputs auxiliary diagnostic results for the test subject based on the feature distribution information and diagnostic information. Therefore, the device of this application can combine the sample detection data and brain scan images of the test subject to make decisions and output auxiliary diagnostic results. This allows for the supplementation of effective information with diagnostic information from the sample detection data when the location of lesions is difficult to identify in the brain scan images, and also supplements effective information with brain scan images when the specificity of the sample detection data is low due to time windows or other similar symptoms. By combining effective information from both dimensions, the device can effectively expand the scope and accuracy of auxiliary diagnosis of brain diseases while reducing detection costs, thereby improving the applicability of auxiliary diagnosis. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a schematic diagram of the structure of the first embodiment of the auxiliary diagnostic information providing device provided in this application; Figure 2 This is a schematic diagram of the structure of the second embodiment of the auxiliary diagnostic information providing device provided in this application; Figure 3 This is a flowchart illustrating an embodiment of the auxiliary diagnostic information providing method provided in this application; Figure 4 This is a schematic diagram of the third embodiment of the auxiliary diagnostic information providing device provided in this application; Figure 5 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application.

[0019] In the figure, 10 is an auxiliary diagnostic information providing device; 11 is a data acquisition module; 12 is a first decision module; 13 is a second decision module; 14 is a control module; 20 is an auxiliary diagnostic information providing device; 21 is a blood testing device; 22 is a brain scanning device; 23 is a processor; 30 is an auxiliary diagnostic information providing device; 31 is a first data acquisition module; 32 is a second data acquisition module; 33 is a control decision module; 40 is a computer-readable storage medium; and 41 is a program instruction. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0022] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0023] This application first proposes an auxiliary diagnostic information providing device. Please refer to... Figure 1 , Figure 1 This is a schematic diagram of the structure of the first embodiment of the auxiliary diagnostic information providing device provided in this application. Figure 1 As shown, the auxiliary diagnostic information providing device 10 includes a data acquisition module 11, a first decision module 12, a second decision module 13, and a control module 14.

[0024] Specifically, the data acquisition module 11 is used to acquire sample detection data of the test object and brain scan images of the test object. The first decision module 12 is connected to the data acquisition module 11 and is used to determine the diagnostic information of the test object based on the comparison relationship between the sample detection data and a preset threshold. The second decision module 13 is connected to the data acquisition module 11 and is used to perform image processing on the brain scan images to obtain feature distribution information of the brain scan images. The control module 14 is connected to both the first decision module 12 and the second decision module 13 and is used to output auxiliary diagnostic results for the test object based on the feature distribution information and diagnostic information.

[0025] The aforementioned sample testing data includes at least the blood biomarker concentration data of the tested subjects. The blood biomarkers may be, but are not limited to, biomarkers related to applicable diseases for which the auxiliary diagnostic information provision device 10 is used to assist in disease identification, classification, or prognosis assessment. For example, when the auxiliary diagnostic information providing device 10 is used to assist in the diagnosis of cerebral hemorrhage, cerebral ischemia, stroke, or stroke type, the blood marker concentration data includes, but is not limited to, glial fibrillary acidic protein (GFAP), D-dimer (fibrin degradation product, D-dimer), brain connecton / short mucin (BCAN), synaptosome-associated protein 25 (SNAP25), SPOCK1 protein (SPARC / osteopontin, cwcv, and kazal-like domain proteoglycan 1), anti-NMDA receptor antibody, blood glucose concentration data, ubiquitin C-terminal hydrolase L1 (UCH-L1), heart-type fatty acid-binding protein (H-FABP), retinol-binding protein 4 (RBP4), and N-terminal pro-B-type natriuretic peptide (NT-pro). At least one of the following: BNP, endostatin, calcium-binding protein S100β, neurofilament light chain (Nfl), osteoprotegerin (OPG), osteopontin (OPN), interleukin-6 (IL-6), matrix metalloproteinase-9 (MMP-9), coagulation-related data, liver and kidney function-related data, neuron-related data, and heart damage-related data (hs-cTn I / T High-Sensitivity Cardiac Troponin I / T High-Sensitivity Cardiac Troponin I / TCK-MB Creatine Kinase-MB Creatine Kinase IZM Myoglobin (Mb) – Myoglobin NT-proBNP / BNPN – terminal pro-Brain Natriuretic Peptide / Brain Natriuretic Peptide).

[0026] After acquiring sample test data, the first decision module 12 can further obtain a comparison relationship between blood biomarker concentration data and their corresponding preset thresholds to obtain the degree of physical damage indicated by the blood biomarkers from the comparison relationship, thereby determining the diagnostic information of the test subject. The diagnostic information can at least be used to indicate the predisposition of the test subject to certain disease types. For example, when the astrocyte-cytoskeletal protein (GFAP) is within the first threshold range, the corresponding diagnostic information can be used to indicate that the subject is prone to early symptoms of spontaneous intracerebral hemorrhage (ICH), for example, the first threshold range is 0.03 ng / mL to 0.3 ng / mL; when the astrocyte-cytoskeletal protein (GFAP) is less than the second threshold, the corresponding diagnostic information can be used to indicate that the subject is prone to mild traumatic brain injury (TBI), for example, the second threshold is 22 pg / mL; when the astrocyte-cytoskeletal protein (GFAP) is higher than the third threshold, the corresponding diagnostic information can be used to indicate that the subject is prone to hemorrhagic stroke, for example, the third threshold is between 10 pg / mL and 500 pg / mL; when the D-dimer is higher than the fourth threshold, the corresponding diagnostic information can be used to indicate that the subject is prone to ischemic stroke, for example, the fourth threshold is 600 ng / mL.

[0027] Brain scan images are images obtained by scanning the brain of the subject using non-invasive scanning methods. These non-invasive scanning methods include, but are not limited to, microwave brain imaging, functional intraocular brain imaging (fNIRS), and electroencephalography (EEG). For example, a brain scan image obtained using a microwave brain imaging device includes first feature distribution information reflecting differences in dielectric constants in different brain regions; a brain scan image obtained using an infrared functional intraocular brain imaging device includes second feature distribution information reflecting changes in oxygenated / deoxyhemoglobin concentrations in different brain regions; and a brain scan image obtained using an electroencephalography device includes third feature distribution information reflecting the firing waveforms or activation intensities of groups of neurons in different brain regions.

[0028] The control module 14 is used to acquire diagnostic information from the first decision module 12 and feature distribution information from the second decision module 13, so as to output auxiliary diagnostic results for the detected object based on the feature distribution information and the diagnostic information. Specifically, the control module 14 may, but is not limited to, supplementing and comparing the diagnostic information with the feature distribution information when the diagnostic information has false features; and supplementing and comparing the feature distribution information with the diagnostic information when the feature distribution information has false features, thereby enhancing the decision-making accuracy of the auxiliary diagnostic information.

[0029] In a possible implementation, the auxiliary diagnostic information providing device 10 can be integrated into a hospital's Laboratory Information System (LIS) to rapidly acquire sample test data and brain scan images of the test subject within the LIS, thereby enabling rapid auxiliary diagnosis of the test subject. In other implementations, the auxiliary diagnostic information providing device 10 can also be a testing system with sample testing (blood biomarker testing) and brain scanning functions. The auxiliary diagnostic information providing device 10 is used to acquire data from the corresponding testing modules and directly output corresponding auxiliary diagnostic results based on the data, thereby enabling rapid auxiliary diagnosis of the test subject. No specific limitations are imposed here.

[0030] In this embodiment, the device acquires sample detection data and brain scan images of the target object through a data acquisition module 11; a first decision module 12 determines diagnostic information of the target object based on a comparison between the sample detection data and a preset threshold; a second decision module 13 performs image processing on the brain scan images to obtain feature distribution information; and a control module 14 outputs auxiliary diagnostic results for the target object based on the feature distribution information and diagnostic information. The device in this embodiment can combine sample detection data and brain scan images of the target object to make decisions and output auxiliary diagnostic results. This allows for the supplementation of effective information through diagnostic information in the sample detection data when the location of lesions is difficult to identify in the brain scan images, and also supplements effective information through brain scan images when the specificity of the sample detection data is low due to time windows or other similar symptoms. By combining effective information from both dimensions, the device can effectively expand the scope and accuracy of auxiliary diagnosis of brain diseases while reducing detection costs, thereby improving the applicability of auxiliary diagnosis.

[0031] In some embodiments, the first decision module 12 is used to determine the first diagnostic information of the test object when the comparison relationship of the sample detection data meets the first preset condition. The first diagnostic information is used to indicate that the test object tends to a first disease type. The control module 14 is used to correct the first diagnostic information according to the feature distribution information to output the auxiliary diagnostic result of the test object.

[0032] Specifically, when the auxiliary diagnostic information providing device 10 is used to assist in diagnosing whether a test subject is prone to ICH (intrapericardiac hemorrhage), the first symptom type includes, but is not limited to, ischemic stroke and hemorrhagic stroke. When the first decision module 12 determines, through sample test data, that the first test information of the test subject indicates that the test subject is prone to the first symptom type, the control module 14 further acquires the feature distribution information of the brain scan image from the second decision module 13 to correct the first diagnostic information, thereby improving the accuracy of the auxiliary diagnostic results for the test subject and thus increasing the applicability of auxiliary diagnosis.

[0033] For example, when determining whether a subject is prone to cerebral hemorrhage using astrocyte cytoskeleton protein (GFAP), false positives may occur due to problems such as increased cerebral ischemia, increased necrosis progression, or hemorrhagic transformation. False positives may also occur due to the primary encephalopathy of non-spontaneous cerebral hemorrhage or decreased renal function, meaning that the subject may not actually have cerebral hemorrhage, but the diagnostic information indicates a tendency towards cerebral hemorrhage. In such cases, the control module 14 can supplement and compare the information with the feature distribution information of the brain scan image to improve the specificity and accuracy of the auxiliary diagnostic results. When determining whether a subject is prone to cerebral hemorrhage by combining astrocyte cytoskeleton protein (GFAP) and D-dimer, false positives may occur due to non-specific increases in D-dimer levels caused by various factors such as old age, pregnancy / postpartum, malignant tumors, infection / inflammation, postoperative / traumatic events, liver disease, VTE / DIC, etc. False positives may also occur due to phenomena such as hypoglycemia, post-epileptic paralysis, and migraine aura. In such cases, the control module 14 can supplement and compare the feature distribution information of brain scan images to improve the specificity and accuracy of the auxiliary diagnostic results.

[0034] In some embodiments, the first decision module 12 is used to determine second diagnostic information of the test object when the comparison relationship of the sample detection data meets a second preset condition. The second diagnostic information is used to indicate that the test object cannot locate the disease type. Feature distribution information is used to indicate the distribution changes of different brain regions of the test object, and the control module 14 is used to determine the auxiliary diagnostic result of the test object based on the feature distribution information.

[0035] Specifically, the first decision module 12 determines the second detection information of the test object based on the sample detection data, indicating that the test object cannot locate the disease type. However, the second diagnostic information may lead to diagnostic errors due to false features such as detection time and other similar symptoms. The control module 14 further obtains the feature distribution information of the brain scan image of the second decision module 13 to correct the second diagnostic information, so as to improve the accuracy of the auxiliary diagnostic results of the test object and thus improve the application scope of auxiliary diagnosis.

[0036] For example, when determining whether a subject is prone to cerebral hemorrhage using astrocyte cytoskeleton protein (GFAP), false negatives may occur due to problems such as early sampling or small hematoma volume. False negatives may also occur due to the asynchronous timing of blood tests and brain scans, meaning that the subject may actually have cerebral hemorrhage but the diagnostic information indicates that it cannot be identified. In such cases, the control module 14 can supplement and compare the feature distribution information of the brain scan image to improve the specificity and accuracy of the auxiliary diagnostic results. When determining whether a subject is prone to cerebral hemorrhage by combining astrocyte cytoskeleton protein (GFAP) and D-dimer, false negatives may occur due to problems such as early sampling, low embolic load (distal M2 / M3), or weak individual fibrinolytic response, resulting in low D-dimer concentration and failure to identify ischemic stroke. Alternatively, GFAP levels may be too high due to hemorrhagic transformation or late-stage large-area infarction, excluding the bleeding pathway of ischemic stroke, leading to false negatives in the diagnostic information. In such cases, the control module 14 can supplement and compare the feature distribution information of brain scan images to improve the specificity and accuracy of the auxiliary diagnostic results.

[0037] In some embodiments, the second decision module 13 is further configured to obtain image diagnostic information of the test object based on the feature distribution information of the brain scan image. The image diagnostic information is used to indicate that the test object tends to be a second disease type, or to indicate that the test object cannot locate a disease type. The control module 14 is further configured to combine the diagnostic information of the first decision module 12 and the image diagnostic information of the second decision module 13 to output an auxiliary diagnostic result.

[0038] Specifically, when the auxiliary diagnostic information providing device 10 is used to assist in diagnosing whether a subject is prone to intracerebral hemorrhage (ICH), the brain scan image can be, but is not limited to, microwave brain imaging, infrared brain functional imaging, electroencephalography (EEG), etc., and the second disease type includes, but is not limited to, intracerebral hemorrhage (ICH), ischemic stroke, or hemorrhagic stroke. Wherein, when the brain scan image is a dielectric constant map obtained through microwave brain imaging equipment, the second decision module 13 is used to identify regions with abnormal dielectric constants from the brain scan image. If the dielectric constant of the abnormal region is lower than the normal threshold range, the generated image diagnostic information is used to indicate that the subject is prone to ischemic stroke; if the dielectric constant of the abnormal region is higher than the normal threshold range, the generated image diagnostic information is used to indicate that the subject is prone to hemorrhagic stroke; if the second decision module 13 cannot identify abnormal regions from the brain scan image, the generated image diagnostic information is used to indicate that the disease type cannot be located for the subject. When the brain scan image is obtained through an infrared brain functional imaging device, the second decision module 13 calculates the impedance phase asymmetry between corresponding regions of the left and right hemispheres in the brain scan image. When the impedance phase asymmetry exceeds a corresponding threshold, image diagnostic information indicating a predisposition to ischemic stroke (ICH) is generated. When the brain scan image is obtained through near-infrared spectroscopy, the second decision module 13 calculates the light absorption in different regions of the brain scan image to infer the concentration changes of oxyhemoglobin and deoxyhemoglobin in the brain regions. When the oxyhemoglobin concentration decreases while the deoxyhemoglobin concentration increases, image diagnostic information indicating a predisposition to ischemic stroke is generated. When both oxyhemoglobin and deoxyhemoglobin concentrations increase, image diagnostic information indicating a predisposition to hemorrhagic stroke is generated.

[0039] Among them, the image diagnostic information may lead to diagnostic errors due to false features such as lesions that are too small, lesion locations that are special, algorithm recognition accuracy that is limited, scanning methods that are inappropriate, and brain structures that are highly heterogeneous. The control module 14 further obtains the diagnostic information from the first decision module 12 to correct the image diagnostic information, so as to improve the accuracy of the auxiliary diagnostic results of the detected object and thus improve the application scope of auxiliary diagnosis.

[0040] In some embodiments, the data acquisition module 11 is used to continuously acquire brain scan images of the test subject from the brain scanning device; the control module 14 is used to acquire feature distribution information of the brain scan images transmitted by the second decision module 13, and when the feature distribution information indicates that a change has occurred in the brain region of the test subject, it obtains a blood test recommendation plan for the test subject based on the feature distribution information.

[0041] Specifically, the brain scanning device can be used to continuously scan and monitor the brain of the test subject to obtain brain scan images over multiple consecutive testing time periods. The control module 14 is used to identify feature distribution information in the brain scan images over multiple testing time periods, and when the feature distribution information indicates changes in the brain region of the test subject, it obtains a recommended blood test plan for the test subject based on the feature distribution information.

[0042] For example, the auxiliary diagnostic information providing device 10 acquires sample detection data and brain scan images during a first time period to generate corresponding auxiliary diagnostic results based on the sample detection data and brain scan images during the first time period. When the auxiliary diagnostic results indicate that the subject has intracerebral hemorrhage (ICH), ischemic stroke, or hemorrhagic stroke, the brain scanning device continuously scans and monitors the subject's brain, so that the data acquisition module 11 acquires brain scan images during a second time period, the second decision module 13 is used to acquire corresponding feature distribution information from the brain scan images during the second time period, and the control module 14 is used to identify whether the feature distribution information during the second time period has changed compared to the feature distribution information during the first time period. For example, control module 14 can be used to identify whether the change value of the abnormal region of dielectric constant in the brain scan image of the second time period exceeds the preset range compared with the abnormal region of dielectric constant in the brain scan image of the first time period, or to identify whether the change value of impedance phase asymmetry in the brain scan image of the second time period exceeds the preset range compared with the impedance phase asymmetry in the brain scan image of the first time period. If so, it indicates that the condition of the test subject has changed significantly and a second blood test is required. At this time, a corresponding blood test recommendation plan is generated according to the feature distribution information of the brain scan image at the latest test time. The blood test recommendation plan can be used to supplement the further diagnosis of the test subject in a targeted manner, so as to assist the diagnosis with the sample test data of the latest blood test and reduce the problem of decreased accuracy of sample test data due to excessive test time.

[0043] Therefore, through the above methods, the auxiliary diagnostic information providing device 10 of this embodiment can be used for continuous detection and disease prediction diagnosis of the test subject, so as to understand the changes in the test subject's condition in real time based on the latest brain scan images and supplement the test subject's blood test results in a targeted manner according to the latest blood test recommendation scheme, thereby realizing rapid intervention in the test subject's condition; and, when the condition changes, blood tests are performed according to the blood test recommendation scheme, which helps to reduce the waste of resources caused by repeated testing and improve the accuracy of the auxiliary diagnostic results output by the auxiliary diagnostic information providing device 10, thereby improving the practicality of the auxiliary diagnostic information providing device 10.

[0044] Optionally, the blood test recommendation scheme includes recommended test items; the data acquisition module 11 is also used to acquire sample test data corresponding to the recommended test items from the blood test equipment; the first decision module 12 is used to determine the diagnostic information of the test object based on the comparison relationship between the sample test data of the recommended test items and the preset threshold.

[0045] Specifically, the blood test recommendation scheme includes recommended test items. The control module 14 can select recommended test items that can supplement effective information based on the feature distribution information in the latest monitored brain scan image. For example, if the feature distribution information indicates that the right hemisphere of the latest monitored brain scan image shows hemorrhagic features compared to the initial brain scan image, the control module 14 can select astrocyte cytoskeleton protein (GFAP), used to screen for secondary hemorrhage, as a recommended test item based on this feature. The blood testing device is used to perform tests on the blood sample of the test subject according to the recommended test items and obtain the corresponding sample test data. The first decision module 12 is used to acquire the sample test data through the data acquisition module 11 and determine the diagnostic information of the test subject based on the comparison relationship between the sample test data and a preset threshold. The control module 14 is also used to update the corresponding auxiliary diagnostic results based on the latest diagnostic information and the feature distribution information of the brain scan image.

[0046] Therefore, the auxiliary diagnostic information providing device 10 of this embodiment can be used to continuously detect and predict the condition of the test subject, which makes it easier for medical staff to intervene in the condition based on the latest auxiliary diagnostic results, which helps to improve the timeliness of auxiliary diagnostic results, thereby improving the practicality and reliability of the auxiliary diagnostic information providing device 10.

[0047] In some embodiments, the data acquisition module 11 is used to acquire brain scan images of the subject from a brain scanning device, the brain scanning device including multiple scanning modes. The control module 14 is used to: acquire diagnostic information from the first decision module 12, the diagnostic information being used to indicate the subject's disease tendency; calculate diagnostic hit data corresponding to different scanning modes of the brain scanning device based on the diagnostic information; and generate a recommended scanning plan for the brain scanning device based on the diagnostic hit data of multiple scanning modes.

[0048] Specifically, control module 14 first controls data acquisition module 11 to acquire sample detection data of the target object. The sample detection data includes blood marker concentration data and corresponding confidence levels. Control module 14 then controls first decision module 12 to output corresponding diagnostic information based on the sample detection data. Control module 14 is used to calculate diagnostic hit data corresponding to different scanning modes of the brain scanning device based on the disease tendency indicated by the diagnostic information. The aforementioned scanning modes include, but are not limited to, at least one of the scanning modes of the brain scanning device and its corresponding scanning parameters. A scanning mode refers to the scanning items performed by the brain scanning device according to different detection methodologies, including but not limited to microwave brain imaging, functional intraocular radiography (fNIRS), and electroencephalography (EEG). Scanning parameters are the execution parameters of the brain scanning device in the corresponding scanning mode, including but not limited to at least one of the following: scanning area, scanning order, scanning time, classification threshold, transmission frequency band, and number of scanning angles. Control module 14 can obtain the aforementioned diagnostic hit data by calculating the utility function under different scanning modes.

[0049] The aforementioned scanning methods may include combinations of scanning modes and scanning parameters. Diagnostic hit data is used to quantify the predictive accuracy of different combinations for assisted diagnosis under the current diagnostic information. The control module 14 can obtain the aforementioned diagnostic hit data by calculating the utility function under different scanning methods. The control module 14 is also used to select the scanning method with the highest predictive accuracy from the diagnostic hit data of different scanning methods as the recommended scanning method for the brain scanning device.

[0050] For example, when the astrocyte cytoskeleton protein (GFAP) in the sample detection data is less than a second threshold and the D-dimer is higher than a fourth threshold, the diagnostic information is used to indicate that the subject is prone to ischemic stroke. In this case, the control module 14 is used to calculate the diagnostic hit data for ischemic stroke using different scanning modes of the brain scanning device. When the brain scanning device includes an impedance module, a microwave imaging module, and / or an infrared brain functional imaging module, the control module 14 is used to calculate the diagnostic hit data for scanning by the impedance module, microwave imaging module, and / or infrared brain functional imaging module. When the diagnostic hit data indicates that the prediction accuracy of the impedance module is higher than that of the microwave imaging module, and the prediction accuracy of the microwave imaging module is higher than that of the infrared brain functional imaging module, the generated recommended scanning scheme is used to indicate that the impedance module should be used as the first mode for detection of the subject. When the astrocyte cytoskeleton protein (GFAP) in the sample test data is greater than the second threshold, the diagnostic information is used to indicate that the test subject is prone to hemorrhagic stroke. At this time, the control module 14 can determine, through the diagnostic hit data, to prioritize screening the brain hemorrhage area of ​​the test subject through the microwave imaging module (the microwave imaging detection method is more sensitive to hemorrhage).

[0051] The data acquisition module 11 is further used to acquire brain scan images output by the brain scanning device under the recommended scanning scheme. The control module 14 is used to generate alternative scanning schemes when the confidence level of the brain scan images under the recommended scanning scheme is lower than a preset threshold, so that the brain scanning device can continue to perform detection under the alternative scanning schemes. The control module 14 is also used to update the corresponding auxiliary diagnostic results by combining the brain scan images of the recommended scanning scheme, the brain scan images of the alternative scanning schemes, and the diagnostic information of the detection object. For example, when the confidence level of the brain scan images of the impedance module is lower than the preset threshold, the microwave imaging module can be enabled as an alternative mode to continue to detect the detection object. The second decision module 13 is used to integrate the brain scan images of the impedance module and the brain scan images of the microwave imaging module to generate corresponding image diagnostic information, so that the control module 14 can output the corresponding auxiliary diagnostic results according to the scanning method with better prediction effect in the diagnostic hit data, thereby improving the detection efficiency and reliability of brain scanning and thus improving the detection accuracy of auxiliary diagnostic results.

[0052] Optionally, the data acquisition module 11 is also used to acquire the case information of the test object; the control module 14 is connected to the data acquisition module 11, and the control module 14 is used to acquire the case information from the data acquisition module 11, and calculate the diagnostic hit data of different scanning methods based on the diagnostic information and the case information.

[0053] Specifically, the data acquisition module 11 can further acquire the case information of the test subject. The case information reflects the test subject's vital signs, age, medical history, etc. In a possible implementation, the data acquisition module 11 can be connected to the hospital's Laboratory Information System (LIS), and the data acquisition module 11 is used to acquire the corresponding case information from the LIS. For example, the case information includes, but is not limited to, the test subject's onset time and relevant vital sign information. After acquiring the case information and the diagnostic information from the first decision module 12, the control module 14 is used to jointly calculate the utility function of different scanning methods based on the vital signs, onset time, and diagnostic information in the case information, in order to obtain diagnostic hit data.

[0054] The auxiliary diagnostic information providing device 10 in this embodiment uses supplementary case information to measure the relative importance of different scanning methods of brain scanning equipment, so as to improve the accuracy of diagnostic hit data, improve the reliability of the output recommended scanning plan, and further improve the application scope of auxiliary diagnosis.

[0055] Optionally, the recommended scanning protocol includes the recommended scanning mode of the brain scanning device and / or the corresponding scanning parameters of the recommended scanning mode. The scanning parameters include at least one of the classification threshold, transmission frequency band, number of scanning angles, and scanning duration of the brain scanning device.

[0056] Specifically, the auxiliary diagnostic information providing device 10 in this embodiment can adjust the scanning mode and / or scanning parameters of the brain scanning device through the diagnostic information of the first decision module 12, making the scanning mode and / or scanning parameters of the brain scanning device more suitable for the current diagnostic environment of the test subject, which helps to shorten the scanning time and improve the scanning accuracy and discrimination accuracy. Among them, the control module 14 can determine the predisposing disease type of the test subject through the diagnostic information of the first decision module 12, and further adjust the penetration depth, detection position, detection bias, etc. by adjusting at least one of the classification threshold, transmission frequency band, number of scanning angles and scanning duration of the brain scanning device, so that the recommended scanning plan can be used to further confirm the pathological predisposition of the test subject, while reducing trial and error time and improving the detection efficiency and reliability of the auxiliary diagnostic information providing device 10.

[0057] For example, the control module 14 can adjust the corresponding scanning parameters based on the disease type diagnosed in the prior sample detection data. For instance, when the diagnostic information indicates a predisposition to hemorrhagic stroke, the control module 14 can select a microwave imaging module to screen for hemorrhage areas in the brain, and increase the microwave classification threshold and shorten the scan time of the microwave imaging module to enable rapid hemorrhage detection by the brain scanning device. In this case, increasing the microwave classification threshold improves the specificity of the microwave imaging module for hemorrhage areas in the brain, and shortening the scan time reduces detection time, thereby improving the detection efficiency of the auxiliary diagnostic information providing device 10 while also enhancing the reliability and accuracy of the auxiliary diagnosis. As another example, when the diagnostic information indicates a predisposition to ischemic stroke, the control module 14 can select an impedance module to screen for ischemic areas in the brain, and enable a multi-band synthesis mode and extend the scan time. In this case, enabling the multi-band synthesis mode improves the detection sensitivity of the impedance module for ischemic areas in the brain, ensuring the reliability and accuracy of the auxiliary diagnosis.

[0058] This application also proposes an auxiliary diagnostic information providing device. Please refer to... Figure 2 , Figure 2 This is a schematic diagram of the structure of a second embodiment of the auxiliary diagnostic information providing device provided in this application. Figure 2 As shown, the auxiliary diagnostic information providing device 30 includes a first data acquisition module 31, a second data acquisition module 32, and a control decision module 33.

[0059] The first data acquisition module 31 is used to acquire sample detection data of the test object; the second data acquisition module 32 is used to acquire brain scan images of the test object; the control decision module 33 is connected to the first data acquisition module 31 and the second data acquisition module 32 respectively, and the control decision module 33 is used to: acquire sample detection data and brain scan images; perform image processing on the brain scan images to obtain feature distribution information of the brain scan images; and output auxiliary diagnostic results of the test object based on the feature distribution information and sample detection data.

[0060] Specifically, the first data acquisition module 31 is used to acquire sample test data of the test subject from the blood testing device, and the second data acquisition module 32 is used to acquire brain scan images of the test subject from the brain scanning device. The control decision module 33 is used to combine the sample test data and the feature distribution information of the brain scan image to jointly decide on the auxiliary diagnostic result of the test subject, so as to determine the predisposition of the test subject's disease type. For example, the control decision module 33 is used to further acquire the comparison relationship between blood marker concentration data and its corresponding preset threshold, so as to obtain the degree of physical damage indicated by blood markers from the comparison relationship, and jointly diagnose the probability of whether the test subject has cerebral hemorrhage, cerebral ischemia, or other possible symptoms based on the feature distribution information of the brain scan image and the comparison relationship between blood marker concentration data and its corresponding preset threshold.

[0061] Therefore, the device can simultaneously make decisions and output auxiliary diagnostic results by combining the sample detection data and brain scan images of the test subject through the control decision module 33. When the location of lesions is difficult to identify in the brain scan images, the diagnostic information in the sample detection data can be used to supplement effective information. When the specificity of the sample detection data is low due to time windows and other similar symptoms, the brain scan images can be used to supplement effective information. By combining effective information from two dimensions, the detection cost can be reduced while effectively expanding the scope and accuracy of auxiliary diagnosis of brain diseases, thereby improving the applicability of auxiliary diagnosis.

[0062] Please see Figure 3 , Figure 3 This is a flowchart illustrating an embodiment of the method for providing auxiliary diagnostic information provided in this application. Figure 3 As shown in the embodiments of this application, a method for providing auxiliary diagnostic information is also proposed, which includes the following steps: Step S1: Obtain sample detection data of the test subject and obtain brain scan images of the test subject.

[0063] Specifically, sample detection data and brain scan images of the test subject can be acquired simultaneously, or sample detection data and brain scan images can be acquired separately.

[0064] Step S2: Based on the comparison between sample detection data and preset thresholds, determine the diagnostic information of the detection object.

[0065] After obtaining sample test data, the sample test data can be compared with a preset threshold. The comparison relationship between the sample test data and the preset threshold is used to reflect the disease tendency of the test object, so as to obtain the corresponding diagnostic information based on the comparison relationship.

[0066] Step S3: Perform image processing on the brain scan image to obtain feature distribution information of the brain scan image.

[0067] After acquiring brain scan images, image processing is performed to obtain feature distribution information. This feature distribution information can be used to indicate whether ischemic and / or hemorrhagic features are present in the brain regions of the tested subject.

[0068] Step S4: Based on feature distribution information and diagnostic information, output auxiliary diagnostic results for the detected object.

[0069] After obtaining the feature distribution information of brain scan images and the diagnostic information of sample detection data, the auxiliary diagnostic results of the detected object are output by combining the feature distribution information and the diagnostic information. This is to supplement effective information with the diagnostic information in the sample detection data when the location of lesions is difficult to identify in the brain scan images, and to supplement effective information with the brain scan images when the specificity of the sample detection data is low due to time windows or the influence of other similar symptoms. Therefore, the auxiliary diagnostic information provision method of this embodiment can effectively expand the scope and accuracy of auxiliary diagnosis of brain diseases by combining effective information from two dimensions, thereby reducing detection costs and improving the applicability of auxiliary diagnosis.

[0070] Please see Figure 4 , Figure 4 This is a schematic diagram of the third embodiment of the auxiliary diagnostic information providing device provided in this application. Figure 4 As shown in the embodiments of this application, an auxiliary diagnostic information providing device 20 is also proposed, which includes a blood testing device 21, a brain scanning device 22, and a processor 23.

[0071] Specifically, the blood testing device 21 is used to acquire sample testing data of the test subject. The brain scanning device 22 is used to acquire brain scan images of the test subject. The processor 23 is connected to both the blood testing device 21 and the brain scanning device 22, and is used to execute program instructions to implement the auxiliary diagnostic information providing method as described in any of the above embodiments. In a possible implementation, the processor 23 may include the data acquisition module, the first decision module, the second decision module, and the control module described above to implement the auxiliary diagnostic information providing method as described above.

[0072] for Figure 3 The method for providing auxiliary diagnostic information in the illustrated embodiment can be presented in the form of a computer program. This application also proposes a computer-readable storage medium carrying computer program instructions. Please see [link to relevant documentation]. Figure 5 , Figure 5 This is a schematic diagram of the structure of an embodiment of the computer-readable storage medium provided in this application. Figure 5 As shown, the computer-readable storage medium 40 of this embodiment includes program instructions 41, which can be executed to implement the above-described method for providing auxiliary diagnostic information.

[0073] In this embodiment, the computer-readable storage medium 40 can be a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or a medium that can store program instructions. Alternatively, it can be a server that stores the program instructions. The server can send the stored program instructions to other devices for execution, or it can execute the stored program instructions itself.

[0074] Furthermore, if the aforementioned functions are implemented as software functions and sold or used as independent products, they can be stored in a mobile terminal-readable storage medium. That is, this application also provides a storage device storing program data, which can be executed to implement the methods of the above embodiments. This storage device can be, for example, a USB flash drive, an optical disc, or a server. In other words, this application can be embodied in the form of a software product, which includes several instructions to cause a smart terminal to execute all or part of the steps of the methods described in the various embodiments.

[0075] The aforementioned computer-readable storage medium 40 can be any means capable of containing, storing, communicating, propagating, or transmitting a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable storage medium 40 include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, the computer-readable storage medium 40 can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optical scanning of the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0076] In a possible embodiment, the computer-readable storage medium 40 can run the auxiliary diagnostic information providing device 10 / 20 / 30 in software by executing the program instructions 41, and implement the functions of the corresponding modules, without any specific limitations.

[0077] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. An auxiliary diagnostic information providing device, characterized in that, include: The data acquisition module is used to acquire sample detection data of the detection object and to acquire brain scan images of the detection object; A first decision module is connected to the data acquisition module. The first decision module is used to determine the diagnostic information of the detection object based on the comparison relationship between the sample detection data and the preset threshold. The second decision module is connected to the data acquisition module. The second decision module is used to perform image processing on the brain scan image to obtain the feature distribution information of the brain scan image. The control module is connected to the first decision module and the second decision module respectively. The control module is used to output the auxiliary diagnostic result of the detected object based on the feature distribution information and the diagnostic information.

2. The auxiliary diagnostic information providing device according to claim 1, characterized in that, The first decision module is used to determine the first diagnostic information of the test object when the comparison relationship of the sample test data meets the first preset condition. The first diagnostic information is used to indicate that the test object tends to a first disease type. The control module is used to correct the first diagnostic information based on the feature distribution information, so as to output the auxiliary diagnostic result of the detected object.

3. The auxiliary diagnostic information providing device according to claim 1, characterized in that, The first decision module is used to determine the second diagnostic information of the test object when the comparison relationship of the sample test data meets the second preset condition. The second diagnostic information is used to indicate that the test object cannot locate the disease type. The feature distribution information is used to indicate the distribution changes in different brain regions of the test subject, and the control module is used to determine the auxiliary diagnostic result of the test subject based on the feature distribution information.

4. The auxiliary diagnostic information providing device according to claim 1, characterized in that, The data acquisition module is used to continuously acquire brain scan images of the test subject from the brain scanning device; the control module is used to acquire feature distribution information of the brain scan images transmitted by the second decision module, and when the feature distribution information indicates that a change has occurred in the brain region of the test subject, obtain a blood test recommendation plan for the test subject based on the feature distribution information.

5. The auxiliary diagnostic information providing device according to claim 4, characterized in that, The blood test recommendation scheme includes recommended test items; the data acquisition module is also used to acquire sample test data corresponding to the recommended test items from the blood testing equipment; the first decision module is used to determine the diagnostic information of the test object based on the comparison relationship between the sample test data of the recommended test items and the preset threshold.

6. The auxiliary diagnostic information providing device according to claim 1, characterized in that, The data acquisition module is used to acquire brain scan images of the target object from a brain scanning device, the brain scanning device including multiple scanning modes; the control module is used to: Obtain diagnostic information from the first decision module, wherein the diagnostic information is used to indicate the disease tendency of the test subject; Based on the diagnostic information, diagnostic hit data corresponding to different scanning modes of the brain scanning device are calculated; Based on the diagnostic hit data from multiple scanning methods, a recommended scanning plan for the brain scanning device is generated.

7. The auxiliary diagnostic information providing device according to claim 6, characterized in that, The recommended scanning scheme includes the recommended scanning mode of the brain scanning device and / or the scanning parameters corresponding to the recommended scanning mode. The scanning parameters include at least one of the classification threshold, transmission frequency band, number of scanning angles, and scanning duration of the brain scanning device.

8. The auxiliary diagnostic information providing device according to claim 6, characterized in that, The data acquisition module is also used to acquire the case information of the test object; the control module is connected to the data acquisition module, and the control module is used to acquire the case information from the data acquisition module, and calculate the diagnostic hit data for different scanning methods based on the diagnostic information and the case information.

9. A method for providing auxiliary diagnostic information, characterized in that, include: Acquire sample detection data of the test object, and acquire brain scan images of the test object; Based on the comparison between the sample detection data and the preset threshold, the diagnostic information of the detection object is determined; The brain scan image is processed to obtain the feature distribution information of the brain scan image; Based on the feature distribution information and the diagnostic information, the auxiliary diagnostic results of the detected object are output.

10. An auxiliary diagnostic information providing device, characterized in that, include: Blood testing equipment is used to obtain sample test data from the test subjects; A brain scanning device for acquiring brain scan images of the subject being tested; The processor, connected to both the blood testing device and the brain scanning device, is used to execute program instructions to implement the method for providing auxiliary diagnostic information as described in claim 9.

11. An auxiliary diagnostic information providing device, characterized in that, include: The first data acquisition module is used to acquire sample detection data of the detection object; The second data acquisition module is used to acquire brain scan images of the object being detected; The control decision module is connected to both the first data acquisition module and the second data acquisition module, and the control decision module is used for: Acquire the sample detection data and the brain scan image; The brain scan image is processed to obtain the feature distribution information of the brain scan image; Based on the feature distribution information and the sample detection data, the auxiliary diagnostic results of the detected object are output.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores program instructions that can be executed by a processor to implement the method as described in claim 9.

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