Method, device and equipment for predicting postoperative pulmonary complications based on diaphragm function
Through the method based on diaphragm ultrasound, the risk of postoperative pulmonary complications was evaluated, and the problem of insufficient evaluation of diaphragm function after hepatectomy in the prior art was solved, and more accurate prediction and more efficient prediction process were achieved, ensuring patient safety and effective care plans.
Patent Information
- Application Number
- CN202411641199.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-18
- Publication Date
- 2025-01-03
AI Technical Summary
The existing methods for predicting postoperative pulmonary complications are not effective, especially after hepatectomy, which cannot effectively evaluate diaphragmatic function, resulting in low prediction efficiency and affecting patient recovery and safety.
The diaphragm ultrasound-based method was used to obtain diaphragm ultrasound information at multiple time points before and after surgery, including the left side before surgery, left side 24 hours after surgery, and the right side 48 hours after surgery, and analyze the echo density of the diaphragm muscle and Movement, assess diaphragm function, and then predict the risk level of postoperative pulmonary complications and generate corresponding coping strategies.
The prediction process is simplified, the prediction efficiency is improved, and the respiratory function status of the patient after surgery can be more accurately reflected, the operation difficulty and artificial errors are reduced, and the real-time diaphragm function evaluation is provided to ensure the safety of the patient.
Smart Images
Figure CN119235358A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical information technology, and in particular to a method, device and equipment for predicting postoperative pulmonary complications based on diaphragm function. Background Art
[0002] Postoperative pulmonary complications (PPCs) are common clinical problems after thoracoabdominal surgery in adults, significantly affecting the patient's recovery process and increasing mortality. Especially in the first week after surgery, patients are at high risk of PPCs. Although there are currently a variety of scoring systems for predicting PPCs, due to the complexity and diversity of perioperative clinical factors, the prediction efficiency of these systems is not ideal, limiting their widespread application in clinical practice.
[0003] As the most important respiratory muscle in the human body, the diaphragm is responsible for 60% to 70% of respiratory function during quiet breathing. However, diaphragmatic function is susceptible to interference from a variety of factors, including disuse atrophy caused by excessive mechanical ventilation support, sepsis, surgical injuries, and the use of specific drugs (such as sedatives and muscle relaxants). Patients with diaphragmatic dysfunction may face serious consequences such as difficulty in weaning from mechanical ventilation, respiratory failure, poor prognosis, prolonged hospitalization, and increased mortality.
[0004] Previous studies have shown that surgery has a significant impact on diaphragm function, and surgery-induced diaphragm dysfunction is one of the main causes of postoperative PPCs. For example, impaired diaphragm function is common in lung resection, cardiac surgery, and spinal surgery. However, there is still a lack of research on the impact of liver resection on diaphragm function and its correlation with the occurrence of PPCs. It is worth noting that the liver is closely connected to the diaphragm through the falciform ligament. During liver resection, perihepatic free manipulation often leads to damage to the diaphragmatic bundle. Therefore, evaluating diaphragm function is of great clinical significance for predicting PPCs after liver resection.
[0005] At present, diaphragm ultrasound has become the preferred method for clinical evaluation of diaphragm function due to its advantages such as simple operation and non-invasiveness. Diaphragm-related indicators obtained by ultrasound, such as diaphragm thickness (DT), diaphragm thickening fraction (DTF), diaphragm displacement (DE), and diaphragm-related shallow rapid breathing index (such as DTF-RSBI, DE-RSBI), can reflect the functional status of the diaphragm to a certain extent. Among them, the research on DE and DTF is relatively mature, and there is a consensus that when the diaphragm movement is less than 1 cm or the diaphragm thickening fraction is less than 20% to 36%, diaphragm dysfunction may exist and is associated with a series of adverse consequences. However, the specific cutoff values in different studies and populations may vary, and the measurement results are easily affected by the subjective factors of the operator and have certain biases.
[0006] In addition, the existing diaphragm function indices mainly reflect the obstruction of diaphragm contraction, but cannot quantify the decrease in diaphragm mass caused by diaphragmatic bundle damage. In order to overcome this limitation, quantitative ultrasound technology has been applied to lung ultrasound and skeletal muscle ultrasound. As an emerging quantitative technology, diaphragm echo density can quantify and reflect the degree of damage to the diaphragmatic bundle. Therefore, incorporating diaphragm echo density into the evaluation system has important research value and clinical significance for comprehensively and accurately evaluating diaphragmatic function and predicting the occurrence of PPCs after hepatectomy.
[0007] Therefore, a method, device and equipment for predicting postoperative pulmonary complications based on diaphragm function are proposed. Summary of the invention
[0008] This manual provides a method, device and equipment for predicting postoperative pulmonary complications based on diaphragm function. The method based on diaphragm ultrasound requires fewer parameters to be obtained and does not need to be combined with other complex indicators for evaluation, which simplifies the prediction process and improves prediction efficiency.
[0009] This manual provides a method for predicting postoperative pulmonary complications based on diaphragmatic function, including:
[0010] Acquire multi-time point ultrasound information; the multi-time ultrasound information includes preoperative left diaphragm ultrasound information, postoperative left diaphragm ultrasound information 24 hours, and postoperative right diaphragm ultrasound information 48 hours;
[0011] Analyze the left diaphragm ultrasound image before the operation and the left diaphragm ultrasound image 24 hours after the operation to obtain the left diaphragm echo density;
[0012] Based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after surgery, the diaphragm function assessment result is obtained;
[0013] The risk level of postoperative pulmonary complications is predicted based on the diaphragm function assessment results, and a risk response strategy is generated.
[0014] Optionally, the method for obtaining the preoperative left diaphragm ultrasound information and the postoperative left diaphragm ultrasound information 24 hours later includes:
[0015] Preoperative and 24-hour postoperative ultrasound images of the left diaphragm were acquired by a linear array probe in superficial musculoskeletal mode with a dynamic range of 50% and a depth of 5 cm.
[0016] Optionally, the method for obtaining the ultrasound information of the right diaphragm 48 hours after the operation includes:
[0017] The ultrasound fusion images of liver viscera and diaphragm were obtained by using a convex array probe in the abdominal ultrasound mode.
[0018] Based on the ultrasound fusion image of the liver visceral layer and the diaphragm, the right diaphragm movement degree was obtained 48 hours after the operation through a convex array probe in M mode.
[0019] Optionally, the analyzing the preoperative left diaphragm ultrasound image and the postoperative left diaphragm ultrasound image 24 hours later to obtain the left diaphragm echo density includes:
[0020] Inputting the preoperative left diaphragm ultrasound image and the postoperative left diaphragm ultrasound image 24 hours later into the image processing model to obtain the preoperative left diaphragm echo density and the postoperative left diaphragm echo density 24 hours later;
[0021] Based on the left diaphragm echo density before surgery and the left diaphragm echo density 24 hours after surgery, the left diaphragm echo density is obtained, specifically:
[0022] ΔLED85[24-0]=LED85
[24] -LED85[0]
[0023] Among them, ΔLED85[24-0] represents the echo density of the left diaphragm, LED85
[24] represents the echo density of the left diaphragm 24 hours after surgery, and LED85[0] represents the echo density of the left diaphragm before surgery.
[0024] Optionally, the diaphragm function assessment result is obtained based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after the operation, including:
[0025] S=a+b*DE
[48] +c*ΔLED85[24-0]
[0026] Wherein, S represents the diaphragm function assessment result, DE
[48] represents the right diaphragm movement 48 hours after surgery, and a, b, and c are all constant coefficients.
[0027] Optionally, predicting the risk level of postoperative pulmonary complications based on the diaphragm function assessment result and generating a risk response strategy includes:
[0028] Determining whether the diaphragm function assessment result meets a preset value;
[0029] When the diaphragm function assessment result meets the preset value, the risk level of the postoperative pulmonary complications is low risk, and a low-risk coping strategy is generated;
[0030] When the diaphragm function assessment result does not meet the preset value, the risk level of the postoperative pulmonary complications is high risk, and a high-risk coping strategy is generated.
[0031] This specification provides a diaphragm function assessment device for predicting postoperative pulmonary complications, including:
[0032] An acquisition module is used to acquire ultrasound information at multiple time points; the multiple time ultrasound information includes ultrasound information of the left diaphragm before surgery, ultrasound information of the left diaphragm 24 hours after surgery, and ultrasound information of the right diaphragm 48 hours after surgery;
[0033] An analysis module, used for analyzing the left diaphragm ultrasound image before the operation and the left diaphragm ultrasound image 24 hours after the operation to obtain the left diaphragm echo density;
[0034] An evaluation module, used for obtaining a diaphragm function evaluation result based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after the operation;
[0035] A prediction module is used to predict the risk level of postoperative pulmonary complications based on the diaphragm function assessment results and generate risk response strategies.
[0036] Optionally, the acquisition module includes:
[0037] Preoperative and 24-hour postoperative ultrasound images of the left diaphragm were acquired by a linear array probe in superficial musculoskeletal mode with a dynamic range of 50% and a depth of 5 cm.
[0038] Optionally, the acquisition module includes:
[0039] The ultrasound fusion images of liver viscera and diaphragm were obtained by using a convex array probe in the abdominal ultrasound mode.
[0040] Based on the ultrasound fusion image of the liver visceral layer and the diaphragm, the right diaphragm movement degree was obtained 48 hours after the operation through a convex array probe in M mode.
[0041] Optionally, the analysis module includes:
[0042] Inputting the preoperative left diaphragm ultrasound image and the postoperative left diaphragm ultrasound image 24 hours later into the image processing model to obtain the preoperative left diaphragm echo density and the postoperative left diaphragm echo density 24 hours later;
[0043] Based on the left diaphragm echo density before surgery and the left diaphragm echo density 24 hours after surgery, the left diaphragm echo density is obtained, specifically:
[0044] ΔLED85[24-0]=LED85
[24] -LED85[0]
[0045] Among them, ΔLED85[24-0] represents the echo density of the left diaphragm, LED85
[24] represents the echo density of the left diaphragm 24 hours after surgery, and LED85[0] represents the echo density of the left diaphragm before surgery.
[0046] Optionally, the evaluation module includes:
[0047] S=a+b*DE
[48] +c*ΔLED85[24-0]
[0048] Wherein, S represents the diaphragm function assessment result, DE
[48] represents the right diaphragm movement 48 hours after surgery, and a, b, and c are all constant coefficients.
[0049] Optionally, the prediction module includes:
[0050] Determining whether the diaphragm function assessment result meets a preset value;
[0051] When the diaphragm function assessment result meets the preset value, the risk level of the postoperative pulmonary complications is low risk, and a low-risk coping strategy is generated;
[0052] When the diaphragm function assessment result does not meet the preset value, the risk level of the postoperative pulmonary complications is high risk, and a high-risk coping strategy is generated.
[0053] This specification also provides an electronic device, wherein the electronic device includes:
[0054] processor; and,
[0055] A memory storing computer executable instructions, which when executed cause the processor to perform any of the above methods.
[0056] The present specification also provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by a processor, any of the above methods is implemented.
[0057] In the present invention, diaphragm ultrasound, as a non-invasive monitoring technology, will not cause additional harm to the patient, making this method particularly applicable in postoperative monitoring, because it can not only ensure the safety of the patient, but also provide real-time diaphragm function evaluation. The evaluation method of diaphragm ultrasound is simple and easy to learn, which reduces the difficulty of operation and human errors. The doctor only needs to observe the morphology and movement of the diaphragm through ultrasound equipment to obtain key evaluation parameters. When predicting PPCs, the method based on diaphragm ultrasound requires fewer parameters to be obtained, and does not need to be combined with other complex indicators for evaluation, which simplifies the prediction process and improves the prediction efficiency. At the same time, since this method directly evaluates the diaphragm function, it can more accurately reflect the respiratory function status of postoperative patients, thereby effectively predicting the occurrence of PPCs. BRIEF DESCRIPTION OF THE DRAWINGS
[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0059] Figure 1 A schematic diagram of the principle of a method for predicting postoperative pulmonary complications based on diaphragmatic function provided in an embodiment of this specification;
[0060] Figure 2 A schematic diagram of the structure of a postoperative pulmonary complication prediction device based on diaphragm function provided in an embodiment of this specification;
[0061] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this specification;
[0062] Figure 4 A schematic diagram of a computer-readable medium provided in accordance with an embodiment of the present specification. DETAILED DESCRIPTION
[0063] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.
[0064] The following is combined with Figure 1-4 The exemplary embodiments of the present invention are described more fully. However, the exemplary embodiments can be implemented in various forms, and it should not be understood that the present invention is limited to the embodiments set forth herein. On the contrary, providing these exemplary embodiments can make the present invention more comprehensive and complete, and it is more convenient to fully convey the inventive concept to those skilled in the art. The same reference numerals in the figures represent the same or similar elements, components or parts, and thus their repeated description will be omitted.
[0065] Under the premise of being consistent with the technical concept of the present invention, the features, structures, characteristics or other details described in a specific embodiment do not exclude that they can be combined in one or more other embodiments in a suitable manner.
[0066] In the description of specific embodiments, the features, structures, characteristics or other details described in the present invention are intended to enable those skilled in the art to fully understand the embodiments. However, it does not exclude that those skilled in the art can practice the technical solutions of the present invention without one or more of the specific features, structures, characteristics or other details.
[0067] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.
[0068] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.
[0069] The term "and / or" or "and / or" includes all combinations of any one or more of the associated listed items.
[0070] Figure 1 A schematic diagram of the principle of a method for predicting postoperative pulmonary complications based on diaphragmatic function provided in an embodiment of this specification, the method may include:
[0071] S110: Acquire ultrasound information at multiple time points; the multiple time point ultrasound information includes ultrasound information of the left diaphragm before surgery, ultrasound information of the left diaphragm 24 hours after surgery, and ultrasound information of the right diaphragm 48 hours after surgery;
[0072] Optionally, the method for obtaining the preoperative left diaphragm ultrasound information and the postoperative left diaphragm ultrasound information 24 hours later includes:
[0073] Preoperative and 24-hour postoperative ultrasound images of the left diaphragm were acquired by a linear array probe in superficial musculoskeletal mode with a dynamic range of 50% and a depth of 5 cm.
[0074] In a specific embodiment of the present specification, an ultrasound device is used and set to "superficial musculoskeletal" mode, which is suitable for high-resolution imaging and can clearly show muscle, bone and soft tissue structures. The linear array probe is properly mounted on the ultrasound device and ensures that its marker (usually a small mark or arrow) points to the side of the patient's head, which helps ensure consistency and directionality of image acquisition.
[0075] The linear array probe is used to scan from the intersection of the mid-axillary line and the costal margin, sliding up and down, and observing the image changes on the ultrasound display screen to obtain three clear high-brightness shadows. These three high-brightness shadows usually represent the three main parts of the diaphragm: the crura, the center of the diaphragm, and the dome of the diaphragm, which together constitute the complete structure of the diaphragm.
[0076] Optionally, the method for obtaining the ultrasound information of the right diaphragm 48 hours after the operation includes:
[0077] The ultrasound fusion images of liver viscera and diaphragm were obtained by using a convex array probe in the abdominal ultrasound mode.
[0078] Based on the ultrasound fusion image of the liver visceral layer and the diaphragm, the right diaphragm movement degree was obtained 48 hours after the operation through a convex array probe in M mode.
[0079] In a specific embodiment of the present specification, the change in the mobility of the diaphragm reflects the functional state of the diaphragm, such as diaphragmatic paralysis, diaphragmatic weakness or diaphragmatic hernia. Set the ultrasound device to "abdominal ultrasound" mode, which is suitable for examining the structure and function of abdominal organs and tissues. Use a convex array probe and make sure its marking point points to the patient's head to maintain consistency of direction when acquiring images. Place the convex array probe at the intersection of the right costal margin and the midclavicular line, and slide the probe left and right from here to find a clear image of the liver. While sliding the probe, observe the changes in the image on the ultrasound display. When the probe moves to the liver area, a clear image of the liver should be seen. The fused image of the liver's visceral layer and the diaphragm is a bright shadow wrapped around the outside of the liver. This image shows the close relationship between the liver and the diaphragm and can be used to evaluate the mobility of the diaphragm.
[0080] Once a clear fusion image is obtained, select M mode (motion mode) to observe the movement of the diaphragm. In M mode, the movement of the diaphragm will appear as a series of vertical lines, and the spacing of these lines indicates the distance the diaphragm moves. Ask the patient to take a deep breath and try to keep the direction of the diaphragm movement perpendicular to the direction of the probe. This will help to measure the diaphragm movement more accurately. In M mode, observe and record the maximum movement distance of the diaphragm during deep inspiration. This distance is the diaphragm movement. Of course. The diaphragm movement can also be measured by measuring the spacing of the vertical lines in M mode or using the built-in measurement tool of the ultrasound device.
[0081] S120: analyzing the left diaphragm ultrasound image before the operation and the left diaphragm ultrasound image 24 hours after the operation to obtain the left diaphragm echo density;
[0082] Optionally, the S120 includes:
[0083] Inputting the preoperative left diaphragm ultrasound image and the postoperative left diaphragm ultrasound image 24 hours later into the image processing model to obtain the preoperative left diaphragm echo density and the postoperative left diaphragm echo density 24 hours later;
[0084] Based on the left diaphragm echo density before surgery and the left diaphragm echo density 24 hours after surgery, the left diaphragm echo density is obtained, specifically:
[0085] ΔLED85[24-0]=LED85
[24] -LED85[0]
[0086] Among them, ΔLED85[24-0] represents the echo density of the left diaphragm, LED85
[24] represents the echo density of the left diaphragm 24 hours after surgery, and LED85[0] represents the echo density of the left diaphragm before surgery.
[0087] S130: obtaining a diaphragm function assessment result based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after the operation;
[0088] Optionally, the S130 includes:
[0089] S=a+b*DE
[48] +c*ΔLED85[24-0]
[0090] Wherein, S represents the diaphragm function assessment result, DE
[48] represents the right diaphragm movement 48 hours after surgery, and a, b, and c are all constant coefficients.
[0091] In a specific embodiment of the present specification, historical data is obtained and divided into a PPCs group and a non-PPCs group according to whether the patient develops pulmonary complications within 7 days after surgery. The PPCs group includes all patients who develop pulmonary complications within 7 days after surgery; the non-PPCs group includes all patients who do not develop pulmonary complications within 7 days after surgery. As shown in Table 1, all diaphragm ultrasound measurement indicators in the two groups are compared, including diaphragm thickness, diaphragm mobility, diaphragm echo density, etc. A t-test is used to compare whether there is a significant difference in the means between the two groups. A chi-square test (or Fisher's exact test, if the sample size is small) is used to compare whether there is a significant difference in the proportions between the two groups. According to the results of the t-test and chi-square test, indicators with a p value of less than 0.05 are screened out. These indicators are considered to be significantly different between the two groups and may be related to the occurrence of pulmonary complications. The screened indicators with significant statistical differences are used as independent variables (predictor variables), and whether pulmonary complications (PPCs / non-PPCs) occur as dependent variables (response variables).
[0092] Table 1 Differences in diaphragm ultrasound measurement indicators between the two groups
[0093]
[0094]
[0095] As shown in Table 2, using the obtained regression coefficients, i.e., a, b, and c, a logistic regression equation S = a + b*DE
[48] + c*ΔLED85[24-0] can be constructed, which can be used to predict the probability of new patients developing pulmonary complications.
[0096] Table 2 Binary logistic regression
[0097] B Standard error Wald Degrees of Freedom Significance Exp(B) DE
[48] -1.726 0.877 3.875 1 0.049 0.178 ΔLED85[24-0] 0.029 0.010 7.932 1 0.005 1.029 Constant coefficient 0.222 1.010 0.048 1 0.826 1.249
[0098] Through binary logistic regression, we can get a=0.222, b=-1.726, and c=0.029. Specifically, S=0.222-1.726*DE
[48] +0.029*ΔLED85[24-0].
[0099] S140: Predicting the risk level of postoperative pulmonary complications based on the diaphragm function assessment results, and generating a risk response strategy.
[0100] Optionally, the S140 includes:
[0101] Determining whether the diaphragm function assessment result meets a preset value;
[0102] When the diaphragm function assessment result meets the preset value, the risk level of the postoperative pulmonary complications is low risk, and a low-risk coping strategy is generated;
[0103] When the diaphragm function assessment result does not meet the preset value, the risk level of the postoperative pulmonary complications is high risk, and a high-risk coping strategy is generated.
[0104] In a specific implementation of the present specification, the preset value may be -1.86. If the diaphragm function evaluation result is greater than or equal to the preset value -1.86, it is judged as a low risk. If the diaphragm function evaluation result is less than the preset value -1.86, it is judged as a high risk.
[0105] For patients judged to be at low risk, a relatively relaxed postoperative care and rehabilitation plan can be formulated, focusing on the patient's overall recovery and preventing other possible complications. For patients judged to be at high risk, a more stringent and detailed postoperative care plan needs to be formulated, including strengthening respiratory function training, closely monitoring respiratory function indicators, and timely intervention and treatment, in order to reduce the risk of postoperative pulmonary complications.
[0106] In the present invention, diaphragm ultrasound, as a non-invasive monitoring technology, will not cause additional harm to the patient, making this method particularly applicable in postoperative monitoring, because it can not only ensure the safety of the patient, but also provide real-time diaphragm function evaluation. The evaluation method of diaphragm ultrasound is simple and easy to learn, which reduces the difficulty of operation and human errors. The doctor only needs to observe the morphology and movement of the diaphragm through ultrasound equipment to obtain key evaluation parameters. When predicting PPCs, the method based on diaphragm ultrasound requires fewer parameters to be obtained, and does not need to be combined with other complex indicators for evaluation, which simplifies the prediction process and improves the prediction efficiency. At the same time, since this method directly evaluates the diaphragm function, it can more accurately reflect the respiratory function status of postoperative patients, thereby effectively predicting the occurrence of PPCs.
[0107] Figure 2 A schematic diagram of the principle of a postoperative pulmonary complication prediction device based on diaphragm function provided in an embodiment of this specification, the device may include:
[0108] An acquisition module 10 is used to acquire multi-time point ultrasound information; the multi-time ultrasound information includes preoperative left diaphragm ultrasound information, postoperative left diaphragm ultrasound information 24 hours, and postoperative right diaphragm ultrasound information 48 hours;
[0109] An analysis module 20 is used to analyze the left diaphragm ultrasound image before the operation and the left diaphragm ultrasound image 24 hours after the operation to obtain the echo density of the left diaphragm;
[0110] An evaluation module 30 is used to obtain a diaphragm function evaluation result based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after the operation;
[0111] The prediction module 40 is used to predict the risk level of postoperative pulmonary complications based on the diaphragm function assessment results and generate risk response strategies.
[0112] Optionally, the acquisition module 10 includes:
[0113] Preoperative and 24-hour postoperative ultrasound images of the left diaphragm were acquired by a linear array probe in superficial musculoskeletal mode with a dynamic range of 50% and a depth of 5 cm.
[0114] Optionally, the acquisition module 10 includes:
[0115] The ultrasound fusion images of liver viscera and diaphragm were obtained by using a convex array probe in the abdominal ultrasound mode.
[0116] Based on the ultrasound fusion image of the liver visceral layer and the diaphragm, the right diaphragm movement degree was obtained 48 hours after the operation through a convex array probe in M mode.
[0117] Optionally, the analysis module 20 includes:
[0118] Inputting the preoperative left diaphragm ultrasound image and the postoperative left diaphragm ultrasound image 24 hours later into the image processing model to obtain the preoperative left diaphragm echo density and the postoperative left diaphragm echo density 24 hours later;
[0119] Based on the left diaphragm echo density before surgery and the left diaphragm echo density 24 hours after surgery, the left diaphragm echo density is obtained, specifically:
[0120] ΔLED85[24-0]=LED85
[24] -LED85[0]
[0121] Among them, ΔLED85[24-0] represents the echo density of the left diaphragm, LED85
[24] represents the echo density of the left diaphragm 24 hours after surgery, and LED85[0] represents the echo density of the left diaphragm before surgery.
[0122] Optionally, the evaluation module 30 includes:
[0123] S=a+b*DE
[48] +c*ΔLED85[24-0]
[0124] Wherein, S represents the diaphragm function assessment result, DE
[48] represents the right diaphragm movement 48 hours after surgery, and a, b, and c are all constant coefficients.
[0125] Optionally, the prediction module 40 includes:
[0126] Determining whether the diaphragm function assessment result meets a preset value;
[0127] When the diaphragm function assessment result meets the preset value, the risk level of the postoperative pulmonary complications is low risk, and a low-risk coping strategy is generated;
[0128] When the diaphragm function assessment result does not meet the preset value, the risk level of the postoperative pulmonary complications is high risk, and a high-risk coping strategy is generated.
[0129] The functions of the device in the embodiment of the present invention have been described in the above method embodiment, so for details not provided in the description of this embodiment, please refer to the relevant description in the above embodiment, and no further description will be given here.
[0130] Based on the same inventive concept, an embodiment of this specification also provides an electronic device.
[0131] The following describes an electronic device embodiment of the present invention, which can be regarded as a specific physical implementation of the method and device embodiments of the present invention. The details described in the electronic device embodiment of the present invention should be regarded as a supplement to the above method or device embodiments; details not disclosed in the electronic device embodiment of the present invention can be implemented with reference to the above method or device embodiments.
[0132] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this specification. Figure 3 The electronic device 300 according to the embodiment of the present invention is described. Figure 3 The electronic device 300 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.
[0133] like Figure 3 As shown, the electronic device 300 is in the form of a general computing device. The components of the electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one storage unit 320, a bus 330 connecting different system components (including the storage unit 320 and the processing unit 310), a display unit 340, etc.
[0134] The storage unit stores program codes, which can be executed by the processing unit 310, so that the processing unit 310 performs the steps according to various exemplary embodiments of the present invention described in the above processing method section of this specification. For example, the processing unit 310 can perform the following steps: Figure 1 Steps shown.
[0135] The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 3201 and / or a cache memory unit 3202 , and may further include a read-only memory unit (ROM) 3203 .
[0136] The storage unit 320 may also include a program / utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including but not limited to: an operating system, one or more application programs, other program modules and program data, each of which or some combination may include the implementation of a network environment.
[0137] Bus 330 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
[0138] The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable viewers to interact with the electronic device 300, and / or any device that enables the electronic device 300 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed through an input / output (I / O) interface 350. Furthermore, the electronic device 300 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 360. The network adapter 360 may communicate with other modules of the electronic device 300 through the bus 330. It should be understood that although Figure 3 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.
[0139] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the exemplary embodiments described in the present invention can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation method of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.) or on a network, including a number of instructions to enable a computing device (which can be a personal computer, server, or network device, etc.) to execute the above method according to the present invention. When the computer program is executed by a data processing device, the computer-readable medium can implement the above method of the present invention, that is: Figure 1 The method shown.
[0140] Figure 4 A schematic diagram of a computer-readable medium provided in accordance with an embodiment of the present specification.
[0141] accomplish Figure 1The computer program of the method shown can be stored on one or more computer readable media. The computer readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.
[0142] The computer readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by an instruction execution system, an apparatus, or a device or used in combination with it. The program code contained on the readable storage medium may be transmitted with any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.
[0143] Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the viewer computing device, partially on the viewer device, as a stand-alone software package, partially on the viewer computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the viewer computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).
[0144] In summary, the present invention can be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that general data processing devices such as microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.
[0145] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the present invention is not inherently related to any specific computer, virtual device or electronic device, and various general devices can also implement the present invention. The above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
[0146] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.
[0147] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims
1. A method for predicting postoperative pulmonary complications based on diaphragmatic function, characterized in that: include: Acquire multi-time point ultrasound information; the multi-time ultrasound information includes preoperative left diaphragm ultrasound information, postoperative left diaphragm ultrasound information 24 hours, and postoperative right diaphragm ultrasound information 48 hours; Analyze the left diaphragm ultrasound image before the operation and the left diaphragm ultrasound image 24 hours after the operation to obtain the left diaphragm echo density; Based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after surgery, the diaphragm function assessment result is obtained; The risk level of postoperative pulmonary complications is predicted based on the diaphragm function assessment results, and a risk response strategy is generated.
2. The method for predicting postoperative pulmonary complications based on diaphragmatic function according to claim 1, characterized in that: The method for obtaining the preoperative left diaphragm ultrasound information and the postoperative left diaphragm ultrasound information 24 hours later includes: Preoperative and 24-hour postoperative ultrasound images of the left diaphragm were acquired by a linear array probe in superficial musculoskeletal mode with a dynamic range of 50% and a depth of 5 cm.
3. The method for predicting postoperative pulmonary complications based on diaphragmatic function according to claim 2, characterized in that: The method for obtaining the ultrasound information of the right diaphragm 48 hours after surgery includes: The ultrasound fusion images of liver viscera and diaphragm were obtained by using a convex array probe in the abdominal ultrasound mode. Based on the ultrasound fusion image of the liver visceral layer and the diaphragm, the right diaphragm movement degree was obtained 48 hours after the operation through a convex array probe in M mode.
4. The method for predicting postoperative pulmonary complications based on diaphragmatic function according to claim 3, characterized in that: The analysis of the left diaphragm ultrasound image before the operation and the left diaphragm ultrasound image 24 hours after the operation to obtain the left diaphragm echo density includes: Inputting the preoperative left diaphragm ultrasound image and the postoperative left diaphragm ultrasound image 24 hours later into the image processing model to obtain the preoperative left diaphragm echo density and the postoperative left diaphragm echo density 24 hours later; Based on the left diaphragm echo density before surgery and the left diaphragm echo density 24 hours after surgery, the left diaphragm echo density is obtained, specifically: ΔLED85[24-0]=LED85[24]-LED85[0] Among them, ΔLED85[24-0] represents the echo density of the left diaphragm, LED85[24] represents the echo density of the left diaphragm 24 hours after surgery, and LED85[0] represents the echo density of the left diaphragm before surgery.
5. The method for predicting postoperative pulmonary complications based on diaphragmatic function according to claim 4, characterized in that: The diaphragm function assessment result is obtained based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after the operation, including: S=a+b*DE[48]+c*ΔLED85[24-0] Wherein, S represents the diaphragm function assessment result, DE[48] represents the right diaphragm movement 48 hours after surgery, and a, b, and c are all constant coefficients.
6. The method for predicting postoperative pulmonary complications based on diaphragmatic function according to claim 5, characterized in that: The method of predicting the risk level of postoperative pulmonary complications based on the diaphragm function assessment results and generating a risk response strategy includes: Determining whether the diaphragm function assessment result meets a preset value; When the diaphragm function assessment result meets the preset value, the risk level of the postoperative pulmonary complications is low risk, and a low-risk coping strategy is generated; When the diaphragm function assessment result does not meet the preset value, the risk level of the postoperative pulmonary complications is high risk, and a high-risk coping strategy is generated.
7. A device for predicting postoperative pulmonary complications based on diaphragmatic function, characterized in that: include: An acquisition module is used to acquire ultrasound information at multiple time points; the multiple time ultrasound information includes ultrasound information of the left diaphragm before surgery, ultrasound information of the left diaphragm 24 hours after surgery, and ultrasound information of the right diaphragm 48 hours after surgery; An analysis module, used for analyzing the preoperative left diaphragm ultrasound image and the postoperative left diaphragm ultrasound image 24 hours later to obtain the left diaphragm echo density; An evaluation module, used for obtaining a diaphragm function evaluation result based on the left isolated echo density and the right diaphragm ultrasound information 48 hours after the operation; A prediction module is used to predict the risk level of postoperative pulmonary complications based on the diaphragm function assessment results and generate risk response strategies.
8. The postoperative pulmonary complications prediction device based on diaphragm function according to claim 7, characterized in that: The acquisition module comprises: Preoperative and 24-hour postoperative ultrasound images of the left diaphragm were acquired by a linear array probe in superficial musculoskeletal mode with a dynamic range of 50% and a depth of 5 cm.
9. An electronic device, wherein: The electronic device includes: processor; and, A memory storing computer executable instructions which, when executed, cause the processor to perform the method according to any one of claims 1-6.
10. A computer-readable storage medium, wherein: The computer-readable storage medium stores one or more programs, and when the one or more programs are executed by a processor, the method of any one of claims 1 to 6 is implemented.