Method, device and program product for predicting proximal femur fracture based on bone trabecula

Abstract

The invention relates to the field of intelligent medical treatment, in particular to a method, equipment and program product for predicting proximal femoral fracture based on bone trabecula. Comprising the steps of S1, acquiring a hip image of a to-be-tested person; s2, quantifying based on the hip image to obtain the number of pressure-resistant bone trabecula and the number of tension-resistant bone trabecula; s3, when the number of the pressure-resistant bone trabecula is larger than a preset pressure-resistant threshold value and the number of the tension-resistant bone trabecula is smaller than a preset tension-resistant threshold value, it is judged that the femur near-end fracture risk exists in the to-be-detected person. Fracture prediction is carried out through the arrangement mode and density of the bone trabecula, and good clinical value is achieved.

Description

Technical Field

[0001] The present application relates to the field of intelligent medical treatment, and specifically to a method, device, program product and computer-readable storage medium for predicting proximal femoral fractures based on trabeculae. Background Art

[0002] Osteoporosis is a common bone disease characterized by decreased bone density and destruction of bone microarchitecture, which causes bones to become weak and brittle. This condition increases the risk of fractures, especially for long bones such as the femur (thigh bone). Femoral neck fractures are a common complication in patients with osteoporosis, especially in elderly patients, and even a minor fall can result in a femur fracture due to decreased bone mass. After a fracture, patients may face a long recovery period and may even require surgical intervention, which seriously affects their quality of life. Despite the availability of tools such as bone density measurement for early diagnosis, many patients are still not diagnosed with osteoporosis before a fracture occurs. Osteoporosis manifests as trabecular loss rather than cortical bone loss, which is considered to be the key to fracture susceptibility, however, there are still challenges in assessing the detailed structure and arrangement of trabeculae, especially early diagnosis and detection of subtle changes. In addition, individual osteoporosis treatment plans are still imperfect, and a deeper understanding of how changes in trabecular structure affect drug efficacy is needed. Early warning and prevention strategies for changes in trabecular structure remain to be developed to reduce the risk of fractures. Summary of the invention

[0003] In view of the above problems, the present invention explores the changing rules of proximal femoral trabeculae in fracture patients and proposes a method for predicting femoral fracture based on trabeculae, which specifically includes:

[0004] S1: Obtain hip images of the subject;

[0005] S2: quantifying the number of compression-resistant trabeculae and tension-resistant trabeculae based on the hip image;

[0006] S3: When the number of pressure-resistant trabeculae is greater than the preset pressure-resistant threshold and the number of tension-resistant trabeculae is less than the preset tension-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0007] Further, the pressure-resistant trabeculae include main pressure-resistant trabeculae, and the tension-resistant trabeculae include main tension-resistant trabeculae; when the main pressure-resistant trabeculae are greater than a preset main pressure-resistant threshold, and the main tension-resistant trabeculae are less than a preset main tension-resistant threshold, it is determined that the subject has a risk of proximal femoral fracture;

[0008] Optionally, the main tension-resistant trabeculae include main tension-resistant medial trabeculae and main tension-resistant lateral trabeculae.

[0009] The pressure-resistant trabeculae also include secondary pressure-resistant trabeculae; when the secondary pressure-resistant trabeculae are smaller than a preset secondary pressure-resistant threshold, it is determined that the subject has a risk of proximal femoral fracture;

[0010] Optionally, when the average value of the secondary pressure-resistant trabeculae is less than a preset secondary average pressure-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture;

[0011] Optionally, the quantification further includes trabeculae at the greater trochanter; when the trabeculae at the greater trochanter are smaller than a preset trochanter threshold, it is determined that the subject is at risk of proximal femoral fracture;

[0012] Optionally, when the average value of trabeculae at the greater trochanter is less than a preset trochanter average threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0013] The S2 is replaced by S21: locating the trabecular overlap area based on the hip image to obtain the position of the trabecular overlap area, wherein the trabecular overlap area is the overlap area of ​​the main pressure-resistant trabeculae and the main tension-resistant trabeculae; S3 is replaced by S31: calculating the area of ​​the trabecular overlap area, and when the area of ​​the trabecular overlap area is greater than a preset overlap threshold, determining that the subject has a risk of proximal femoral fracture;

[0014] Optionally, when the average value of the trabecular overlap area is greater than a preset overlap average threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0015] The S31 is replaced by S32: calculating the proportion of the main compression-resistant trabeculae to the main tension-resistant trabeculae, and when the proportion of the main compression-resistant trabeculae in the overlapping area is greater than the proportion of the main tension-resistant trabeculae in the overlapping area, it is determined that the subject is at risk of proximal femoral fracture.

[0016] The method also includes age determination. When the subject is between 41 and 50 years old, it is determined that the subject is at risk of proximal femoral fracture.

[0017] The method further includes determining gender, and when the subject is male and is in the age range of 31-40, determining that the subject has a risk of proximal femoral fracture;

[0018] Optionally, when the subject is female and is in the age range of 51-60, it is determined that the subject is at risk of proximal femoral fracture.

[0019] The object of the present invention is to provide a computer program product, which includes a computer program or instructions, and the computer program or instructions are executed by a processor to implement the above-mentioned method for predicting proximal femoral fractures based on trabeculae.

[0020] The object of the present invention is to provide a computer device, which includes a memory, a processor and a computer program or instructions stored in the memory, wherein the computer program or instructions are executed by the processor to implement the above-mentioned method for predicting proximal femoral fractures based on trabeculae.

[0021] The object of the present invention is to provide a computer-readable storage medium having a computer program or instructions stored thereon, wherein the computer program or instructions are executed by a processor to implement the above-mentioned method for predicting proximal femoral fractures based on trabeculae.

[0022] Advantages of the present invention:

[0023] 1. Predict proximal femoral fractures by the number of trabeculae, including primary compression-resistant trabeculae, primary tension-resistant trabeculae, secondary compression-resistant trabeculae, and the overlapping area of ​​primary compression-resistant trabeculae and primary tension-resistant trabeculae. The change in trabecular density can be used to predict the fracture risk of the subject, which helps the subject to prevent fractures in advance, assists physicians in preventive treatment, and reduces the risk of fractures.

[0024] 2. The risk of proximal femoral fractures can be predicted by the proportion of compression-resistant trabeculae and tension-resistant trabeculae in the overlapping area, thereby improving the detection rate of proximal femoral fractures, reducing the fracture risk of the subjects, and improving awareness of fracture prevention.

[0025] 3. Research was conducted on different age groups and genders, and the risk of proximal femoral fractures was warned and predicted for subjects in the 41-50 age group, male subjects in the 31-40 age group, and female subjects in the 51-60 age group, so as to reduce the probability of proximal femoral fractures due to osteoporosis in the population. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, 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 invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A schematic flow chart of a method for predicting proximal femoral fracture based on trabeculae provided in an embodiment of the present invention;

[0028] Figure 2 A schematic diagram of a system for predicting proximal femoral fractures based on trabeculae provided by an embodiment of the present invention;

[0029] Figure 3 A schematic diagram of a device for predicting proximal femoral fractures based on trabeculae provided in an embodiment of the present invention;

[0030] Figure 4 The relationship between the average value of the main pressure-resistant trabecular bone and fracture provided by the embodiment of the present invention;

[0031] Figure 5 The relationship between the average value of the main tensile trabecular bone and fracture provided by the embodiment of the present invention;

[0032] Figure 6 The relationship between the average value of the overlap area and the fracture provided in the embodiment of the present invention;

[0033] Figure 7 The relationship between the average value of the secondary resistance pressure and the fracture provided by the embodiment of the present invention;

[0034] Figure 8 The relationship between the greater trochanter average value and fracture provided in the embodiment of the present invention;

[0035] Fig. 9 The relationship between the average ratio of the main pressure-resistant trabecular bone provided by the embodiment of the present invention and the fracture;

[0036] Fig.10 The relationship between the average value of the main tensile trabecular proportion and fracture provided in the embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0038] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The sequence numbers of the operations, such as S101, S102, etc., are only used to distinguish between different operations, and the sequence numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0039] Figure 1 An embodiment of the present invention provides a schematic diagram of a method for predicting proximal femoral fracture based on trabeculae, which specifically includes:

[0040] S1: Obtain hip images of the subject;

[0041] In one embodiment, the imaging includes one or more of the following: CT, dual-energy X-ray absorptiometry (DXA), and MRI.

[0042] In one embodiment, normal subjects aged 60 to 70 years without metabolic and tumor diseases and fracture patients who underwent hip growth and development evaluation at the Third Hospital of Hebei Medical University in 2024 were retrospectively selected. Information such as age, gender, radiological images, and clinical diagnosis was collected using an electronic medical record system.

[0043] S2: quantifying the number of compression-resistant trabeculae and tension-resistant trabeculae based on the hip image;

[0044] In one embodiment, the quantification uses one or more of the following: Micro-Computed Tomography (micro-CT): This is a non-invasive imaging technique that can provide three-dimensional details of the interior of the bone. By analyzing the scanned images, the structure of the trabeculae can be quantified, including parameters such as trabecular thickness, separation, and volume fraction.

[0045] Dual-energy X-ray absorptiometry (DXA): Although DXA is primarily used to measure bone density, with specific analysis software, it can also provide some information about bone microarchitecture, including the geometry of trabeculae.

[0046] Magnetic resonance imaging (MRI): MRI can provide high-contrast images of soft tissue and bone and can be used as a noninvasive assessment tool for trabecular bone structure.

[0047] Histological analysis: In experimental studies, the number of trabeculae can be counted directly by taking tissue sections, staining them, and then analyzing them under a microscope.

[0048] In a specific embodiment, the CT value data of the hip is used to analyze the compression-resistant trabecular system and the tension-resistant trabecular system, and a correlation analysis is performed to determine the influence of the trabecular system on the fracture.

[0049] S3: When the number of pressure-resistant trabeculae is greater than the preset pressure-resistant threshold and the number of tension-resistant trabeculae is less than the preset tension-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0050] In one embodiment, the pressure resistance threshold is the number of pressure-resistant trabeculae in a normal person, and the tension resistance threshold is the number of tension-resistant trabeculae in a normal person.

[0051] In one embodiment, the compression-resistant trabeculae include primary compression-resistant trabeculae, and the tension-resistant trabeculae include primary tension-resistant trabeculae; when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold and the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0052] In one embodiment, the main tension-resistant trabeculae include main tension-resistant medial trabeculae and main tension-resistant lateral trabeculae. When both the main tension-resistant medial trabeculae and the main tension-resistant lateral trabeculae are smaller than a preset main tension-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0053] In one embodiment, the primary compression resistance threshold is the number of primary compression resistance trabeculae in a normal person, and the primary tension resistance threshold is the number of primary tension resistance trabeculae in a normal person.

[0054] In one embodiment, the pressure-resistant trabeculae further include secondary pressure-resistant trabeculae; when the secondary pressure-resistant trabeculae are smaller than a preset secondary pressure-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture;

[0055] Optionally, when the average value of the secondary pressure-resistant trabeculae is less than a preset secondary average pressure-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0056] In one embodiment, the quantification further includes trabeculae at the greater trochanter; when the trabeculae at the greater trochanter are smaller than a preset trochanter threshold, it is determined that the subject is at risk of proximal femoral fracture;

[0057] Optionally, when the average value of trabeculae at the greater trochanter is less than a preset trochanter average threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0058] In one embodiment, the secondary pressure resistance threshold is the number of secondary pressure resistance trabeculae of a normal person, and the secondary average pressure resistance threshold is the average value of secondary pressure resistance trabeculae of a normal person; the trochanteric threshold is the number of trochanteric trabeculae of a normal person, and the trochanteric average threshold is the average value of trochanteric trabeculae of a normal person.

[0059] In one embodiment, S2 is replaced by S21: locating the trabecular overlap area based on the hip image to obtain the position of the trabecular overlap area, wherein the trabecular overlap area is the overlap area of ​​the main pressure-resistant trabeculae and the main tension-resistant trabeculae; S3 is replaced by S31: calculating the area of ​​the trabecular overlap area, and when the area of ​​the trabecular overlap area is greater than a preset overlap threshold, it is determined that the subject is at risk of proximal femoral fracture;

[0060] Optionally, when the average value of the trabecular overlap area is greater than a preset overlap average threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0061] In one embodiment, the overlap threshold is the size of the overlap area of ​​a normal person, and the overlap average threshold is the average value of the overlap area of ​​a normal person.

[0062] In one embodiment, S31 is replaced by S32: calculating the proportion of the main compression-resistant trabeculae to the main tension-resistant trabeculae, and when the proportion of the main compression-resistant trabeculae in the overlapping area is greater than the proportion of the main tension-resistant trabeculae in the overlapping area, it is determined that the subject is at risk of proximal femoral fracture.

[0063] In one embodiment, the method further includes age determination, and when the subject is between 41 and 50 years old, it is determined that the subject is at risk of proximal femoral fracture.

[0064] In one embodiment, the method further includes determining gender, and when the subject is male and is in the age range of 31-40, determining that the subject is at risk of proximal femoral fracture;

[0065] In one embodiment, when the subject is a female and is in the age range of 51-60, it is determined that the subject is at risk of proximal femoral fracture.

[0066] In one embodiment, a hip image of the subject is obtained; the number of compression-resistant trabeculae and tension-resistant trabeculae is quantified based on the hip image; when the number of compression-resistant trabeculae is greater than a preset compression-resistant threshold and the number of tension-resistant trabeculae is less than a preset tension-resistant threshold, further, the compression-resistant trabeculae include major compression-resistant trabeculae, and the tension-resistant trabeculae include major tension-resistant trabeculae, and when the major compression-resistant trabeculae are greater than a preset major compression-resistant threshold and the major tension-resistant trabeculae are less than a preset major tension-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0067] In one embodiment, a hip image of the subject is obtained; the number of compression-resistant trabeculae and tension-resistant trabeculae is quantified based on the hip image; the compression-resistant trabeculae also include secondary compression-resistant trabeculae; when the secondary compression-resistant trabeculae are less than a preset secondary compression-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0068] In one embodiment, a hip image of the subject is obtained; the number of compression-resistant trabeculae and tension-resistant trabeculae is quantified based on the hip image; the compression-resistant trabeculae also include secondary compression-resistant trabeculae; when the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression resistance threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0069] In one embodiment, a hip image of the subject is obtained; the number of pressure-resistant trabeculae, tension-resistant trabeculae, and the number of trabeculae at the greater trochanter are quantified based on the hip image; when the number of pressure-resistant trabeculae is greater than a preset pressure resistance threshold, the number of tension-resistant trabeculae is less than a preset tension resistance threshold, and the trabeculae at the greater trochanter are greater than a preset trochanteric threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0070] In one embodiment, a hip image of the subject is obtained; the number of pressure-resistant trabeculae, tension-resistant trabeculae, and the number of trabeculae at the greater trochanter are quantified based on the hip image; when the number of pressure-resistant trabeculae is greater than a preset pressure resistance threshold, the number of tension-resistant trabeculae is less than a preset tension resistance threshold, and the average value of trabeculae at the greater trochanter is less than a preset trochanter average threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0071] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, and the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0072] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, and the trabeculae at the greater trochanter are at a preset trochanteric threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0073] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, and the average value of the trabeculae at the greater trochanter is greater than a preset trochanteric average threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0074] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, the average value of the trabeculae at the greater trochanter is greater than a preset trochanteric average threshold, and the area of ​​the trabecular overlap zone is greater than a preset overlap threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0075] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, the average value of the trabeculae at the greater trochanter is greater than a preset trochanteric average threshold, and the average value of the trabecular overlap area is greater than a preset overlap average threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0076] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, the average value of the trabeculae at the greater trochanter is greater than a preset trochanteric average threshold, the average value of the trabecular overlap area is greater than a preset overlap average threshold and the subject is in the age group of 41-50, it is determined that the subject is at risk of proximal femoral fracture.

[0077] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, the average value of the trabeculae at the greater trochanter is greater than a preset trochanteric average threshold, the average value of the trabeculae overlapping area is greater than a preset overlapping average threshold, and the subject is male and in the age group of 31-40, it is determined that the subject is at risk of proximal femoral fracture.

[0078] In one embodiment, when the primary compression-resistant trabeculae are greater than a preset primary compression-resistant threshold, the primary tension-resistant trabeculae are less than a preset primary tension-resistant threshold, the average value of the secondary compression-resistant trabeculae is less than a preset secondary average compression-resistant threshold, the average value of the trabeculae at the greater trochanter is greater than a preset trochanteric average threshold, the average value of the trabecular overlap area is greater than a preset overlap average threshold, and the subject is female and in the 51-60 age group, it is determined that the subject is at risk of proximal femoral fracture.

[0079] In one embodiment, when the main compression-resistant trabeculae are greater than a preset main compression-resistant threshold, the main tension-resistant trabeculae are less than a preset main tension-resistant threshold, and the proportion of the main compression-resistant trabeculae in the overlapping area is greater than the proportion of the main tension-resistant trabeculae in the overlapping area, it is determined that the subject is at risk of proximal femoral fracture.

[0080] In one embodiment, the present invention uses clinical statistical analysis to average or weighted average the number of main pressure-resistant trabeculae, the number of main tension-resistant trabeculae, the overlapping area of ​​main pressure-resistant trabeculae and main tension-resistant trabeculae, the number of secondary pressure-resistant trabeculae, the number of greater trochanteric trabeculae, the proportion of main pressure-resistant trabeculae, and the proportion of main tension-resistant trabeculae to obtain the corresponding average values ​​of each item, and analyze the correlation between the corresponding average values ​​of each item and the occurrence of fractures. The specific results are as follows: Figure 4-Figure 10 As shown, the left side shows the relationship between the average values ​​of each item and fracture, and the right side shows the relationship between the average values ​​of each item and fracture of subjects of different genders.

[0081] In a specific embodiment, a total of 182 patients were included. Among them, 73 normal subjects without metabolic and tumor diseases were included, including 30 males and 43 females; 109 patients with fractures were included, including 44 males and 65 females. In the age group of 60 to 70 years old, the average values ​​of the main pressure-resistant trabeculae and the overlapping area of ​​the main pressure-resistant and main tension-resistant trabeculae in patients with fractures were higher than those in normal subjects; the main tension-resistant inner and outer trabeculae were lower than those in normal subjects, which was more obvious in males; the average values ​​of the secondary pressure-resistant trabeculae and the trabeculae at the greater trochanter were lower than those in normal subjects, which was more obvious in females. The proportion of the main pressure-resistant trabeculae in the overlapping area of ​​patients with fractures was higher than that of normal subjects; the proportion of the main tension-resistant trabeculae in the overlapping area was lower than that of normal subjects, which was more obvious in males.

[0082] In a specific embodiment, the density and arrangement of the compression-resistant trabecular system and the tension-resistant trabecular system of the fracture patient are changed compared with the normal person. The increase of compression-resistant trabecular system and the decrease of tension-resistant trabecular system may be the cause of the fracture. Therefore, these findings can help us understand the structure and function of the proximal femoral trabeculae, which is of great significance for studying fracture healing, the occurrence mechanism of bone diseases, and the prevention and treatment of diseases such as osteoporosis.

[0083] In a specific embodiment, patients aged 21 to 70 years without metabolic and tumor diseases who underwent hip growth and development evaluation at the Third Hospital of Hebei Medical University from April 2024 to July 2024 were retrospectively selected. Based on an age group of 10 years, they were divided into 5 groups: 21 to 30 years old, 31 to 40 years old, 41 to 50 years old, 51 to 60 years old, and 61 to 70 years old. The electronic medical record system was used to collect information such as age, gender, imaging images, and clinical diagnosis. The pressure trabecular system and the tension trabecular system were analyzed using hip CT value data, and correlation analysis was performed to determine the relationship between age and trabecular maturation.

[0084] A total of 353 patients were included, including 165 males and 188 females. With the increase of age, the main pressure-resistant trabeculae, the overlapping area of ​​the main pressure-resistant and main tension-resistant trabeculae, the main tension-resistant inner and outer trabeculae, and the secondary pressure-resistant trabeculae all showed an increasing trend in 41-50 years old, and a decreasing trend in other age groups; the trabeculae in the greater trochanter showed a decreasing trend in all age groups, but the decrease was not obvious in 51-60 years old; the proportion of the main pressure-resistant trabeculae in the overlapping area increased in 31-40 years old and 51-60 years old, and decreased in 41-50 years old and 61-70 years old; the proportion of the main tension-resistant trabeculae in the overlapping area increased in 41-50 years old, and decreased in other age groups. With increasing age, the secondary compression-resistant trabeculae of men reached their peak values ​​at 41-50 years old, the greater trochanter and primary tension-resistant lateral trabeculae reached their peak values ​​at 51-60 years old, and the proportion of primary compression-resistant trabeculae in the overlapping area reached its peak value at 31-40 years old; the primary compression-resistant trabeculae, the overlapping area of ​​primary compression-resistant and primary tension-resistant trabeculae, primary tension-resistant inner and outer trabeculae, and secondary compression-resistant trabeculae of women reached their peak values ​​at 41-50 years old, and the proportion of primary compression-resistant trabeculae in the overlapping area reached its peak value at 51-60 years old; the proportion of primary tension-resistant trabeculae in the overlapping area reached its peak value at 41-50 years old for both men and women.

[0085] With age, the primary compression-resistant trabeculae, the primary tension-resistant medial and lateral trabeculae, the overlapping area between the primary compression-resistant trabeculae and the primary tension-resistant trabeculae, the secondary compression-resistant trabeculae, and the trabeculae at the greater trochanter all decreased, the primary compression-resistant trabeculae accounted for an increased proportion in the overlapping area, and the primary tension-resistant trabeculae accounted for a decreased proportion in the overlapping area. There were differences in trabecular changes between men and women. Therefore, these findings can help understand the structure and weight-bearing system of the proximal femoral trabeculae, improve the understanding of the mechanism and treatment of proximal femoral fractures, and help identify occult or slightly displaced fractures.

[0086] The disclosed embodiments of the present invention further provide a computer program product or system, including a computer program, which, when executed by a processor, implements the above-mentioned steps of the method for predicting proximal femoral fractures based on trabeculae.

[0087] Figure 2 A schematic diagram of a system for predicting proximal femoral fractures based on trabeculae provided by an embodiment of the present invention specifically includes:

[0088] Acquisition unit: acquires the hip image of the subject to be tested;

[0089] Quantification unit: quantifying the number of compression-resistant trabeculae and tension-resistant trabeculae based on the hip image;

[0090] Prediction unit: When the number of pressure-resistant trabeculae is greater than a preset pressure-resistant threshold and the number of tension-resistant trabeculae is less than a preset tension-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

[0091] Figure 3 A schematic diagram of a device for predicting proximal femoral fracture based on trabeculae provided by an embodiment of the present invention specifically includes:

[0092] A memory and a processor; the memory is used to store program instructions; the processor is used to call the program instructions, and when the program instructions are executed, any one of the above-mentioned methods for predicting proximal femoral fractures based on trabeculae is performed.

[0093] The disclosed embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, any one of the above-mentioned methods for predicting proximal femoral fractures based on trabeculae is performed.

[0094] The verification results of this verification example show that assigning inherent weights to indications can improve the performance of the method relative to the default settings. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. In several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways.

[0095] For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, each functional unit in each embodiment of the present invention may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0096] A person skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be implemented by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned medium storage can be a read-only memory, a disk or an optical disk, etc.

[0097] The above is a detailed introduction to a computer device provided by the present invention. For a person skilled in the art, according to the concept of the embodiments of the present invention, there may be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for predicting proximal femoral fracture based on trabecular bone, characterized in that: include: S1: Obtain hip images of the subject; S2: quantifying the number of compression-resistant trabeculae and tension-resistant trabeculae based on the hip images; S3: When the number of pressure-resistant trabeculae is greater than the preset pressure-resistant threshold and the number of tension-resistant trabeculae is less than the preset tension-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture.

2. The method for predicting proximal femoral fracture based on trabecular bone according to claim 1, characterized in that: The pressure-resistant trabeculae include main pressure-resistant trabeculae, and the tension-resistant trabeculae include main tension-resistant trabeculae; when the main pressure-resistant trabeculae are greater than a preset main pressure-resistant threshold, and the main tension-resistant trabeculae are less than a preset main tension-resistant threshold, it is determined that the subject has a risk of proximal femoral fracture; Optionally, the main tension-resistant trabeculae include main tension-resistant medial trabeculae and main tension-resistant lateral trabeculae.

3. The method for predicting proximal femoral fracture based on trabecular bone according to claim 1, characterized in that: The pressure-resistant trabeculae also include secondary pressure-resistant trabeculae; when the secondary pressure-resistant trabeculae are smaller than a preset secondary pressure-resistant threshold, it is determined that the subject has a risk of proximal femoral fracture; Optionally, when the average value of the secondary pressure-resistant trabeculae is less than a preset secondary average pressure-resistant threshold, it is determined that the subject is at risk of proximal femoral fracture; Optionally, the quantification further includes trabecular bone at the greater trochanter; When the trabeculae at the greater trochanter are smaller than the preset trochanteric threshold, the subject is judged to be at risk of proximal femoral fracture; Optionally, when the average value of trabeculae at the greater trochanter is less than a preset trochanter average threshold, it is determined that the subject is at risk of proximal femoral fracture.

4. The method for predicting proximal femoral fracture based on trabecular bone according to claim 1, characterized in that: The S2 is replaced by S21: locating the trabecular overlap area based on the hip image to obtain the position of the trabecular overlap area, wherein the trabecular overlap area is the overlap area of ​​the main pressure-resistant trabeculae and the main tension-resistant trabeculae; S3 is replaced by S31: calculating the area of ​​the trabecular overlap area, and when the area of ​​the trabecular overlap area is greater than a preset overlap threshold, determining that the subject has a risk of proximal femoral fracture; Optionally, when the average value of the trabecular overlap area is greater than a preset overlap average threshold, it is determined that the subject is at risk of proximal femoral fracture.

5. The method for predicting proximal femoral fracture based on trabecular bone according to claim 1, characterized in that: The S31 is replaced by S32: calculating the proportion of the main compression-resistant trabeculae to the main tension-resistant trabeculae, and when the proportion of the main compression-resistant trabeculae in the overlapping area is greater than the proportion of the main tension-resistant trabeculae in the overlapping area, it is determined that the subject is at risk of proximal femoral fracture.

6. The method for predicting proximal femoral fracture based on trabecular bone according to claim 1, characterized in that: The method also includes age determination. When the subject is between 41 and 50 years old, it is determined that the subject is at risk of proximal femoral fracture.

7. The method for predicting proximal femoral fracture based on trabecular bone according to claim 1, characterized in that: The method further includes determining gender, and when the subject is male and is in the age range of 31-40, determining that the subject is at risk of proximal femoral fracture; Optionally, when the subject is female and is in the age range of 51-60, it is determined that the subject is at risk of proximal femoral fracture.

8. A computer program product comprising a computer program or instructions, characterized in that The computer program or instructions are executed by a processor to implement the method for predicting proximal femoral fractures based on trabeculae as described in any one of claims 1 to 7.

9. A computer device comprising a memory, a processor and a computer program or instruction stored in the memory, characterized in that: The computer program or instructions are executed by a processor to implement the method for predicting proximal femoral fracture based on trabeculae as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: The computer program or instructions are executed by a processor to implement the method for predicting proximal femoral fracture based on trabeculae as described in any one of claims 1 to 7.

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