KR20120028154A - Diagnose method and apparatus for atherosclerotic lesions - Google Patents

Abstract

Disclosed is a method for diagnosing atherosclerosis and a diagnostic apparatus thereof. Atherosclerosis diagnosis method according to an embodiment of the present invention, the step of registering the data of the patient; Detecting lumen contours and blood vessel contours from the registered data; And performing geometric and constitutive analysis on each segment based on the detected lumen contour and the blood vessel contour. According to an embodiment of the present invention, a correlation between the percent plaque component volume calculated by the plaque and the percent plaque component volume calculated by the vascular volume assigned by IVUS-VH can be calculated, thereby diagnosing atherosclerosis. Will be.

Description

Diagnosis Method and Apparatus for Atherosclerotic Lesions

Embodiments of the present invention relate to a method for diagnosing atherosclerosis and an apparatus thereof. More particularly, the present invention relates to a method and apparatus for diagnosing atherosclerosis using radiofrequency data analysis of intravascular ultrasound for volumetric measurement.

Ultrasound systems are one of the important diagnostic systems that are used in a variety of applications. In particular, ultrasound systems are widely used in the medical field because they have nondestructive properties for the subject. Modern high performance ultrasound systems have been used to form two-dimensional or three-dimensional images of the internal shape of a subject (eg, internal organs of a patient).

Generally, ultrasonic systems include probes, beam formers, signal processors, processors, displays, and inputs. The probe for transmitting and receiving the ultrasonic signal includes a plurality of conversion elements for converting the ultrasonic signal and the electrical signal. Each transducer of the probe generates an ultrasonic signal separately, and several transducers may simultaneously generate an ultrasonic signal. The ultrasonic signal transmitted from each conversion element is reflected at the discontinuous surface (the reflector surface) of the acoustic impedance inside the object. Each converter converts the individually reflected ultrasonic signal into an electrical signal to form a received signal. The beam former performs focusing and reception focusing of an ultrasonic signal in consideration of the focusing point of the object and the position of each conversion element. The signal processor performs analog-to-digital conversion, amplification and various signal processing of the received signal. The processor forms an ultrasound image of the object based on the signal output from the signal processor, and the display unit displays the ultrasound image.

Ultrasound systems use the Doppler Effect to measure the rate of movement of red blood cells in the blood vessels or to measure the movement of the heart. When the sample volume is set in the blood vessel region of the ultrasound image by using an input unit (eg, a control panel) from the user, the ultrasound system forms a Doppler spectrum based on data obtained from the scan line of the sample volume.

Meanwhile, the progression of atherosclerotic plaques in blood vessels is a cause of cerebrovascular disease and heart disease, which is the leading cause of death in major developed countries such as Europe. It is well known that Korea's disease is changing along with major developed countries. Timely detection of cerebrovascular disease and heart disease requires identifying the components of the atherosclerotic plaques of blood vessels.

The presence of atherosclerotic plaques can also be detected by computed tomography (CT) and magnetic resonance images (MRI). It is known to be more accurate.

Intravascular Ultrasound (IVUS) can be performed using high frequency bands in the tens of MHz bands, such as Eagle Eye Gold 2.9F 20 MHz phased-array catheter from Volcano Corporation, Rancho Cordova, USA. Support. The ultrasound of the high frequency band is emitted to the object, and the material component of the object may be grasped according to a pattern in which the ultrasound reflected from the boundary of the object is received at the receiving side. The VH-IVUS console and its operation program from Volcano Therapeutics, Rancho Cordova, USA, process images received from the catheter to analyze material components of the subject.

The received image is obtained by electrocardiogram-gated (ECG-gated) technique. After 200 ug of nitroglycerine is injected into the vessel, an IVUS catheter is inserted and the IVUS catheter is pulled at a rate of 0.5 mm / s. Record the images monitored during catheter traction and analyze them.

Conventional methods for diagnosing cerebrovascular disease, heart disease or atherosclerosis include lumens and luminal lumens based on displayed intravascular ultrasound images when an intravascular ultrasound device displays an intravascular ultrasound image. Visually grasp The wall area of the vessel is set based on the lumen and the outer cavity grasped by the naked eye, and the image processing device analyzes the plaque component appearing on the surface of the wall region of the vessel to measure the proportion of the risk component.

In the prior art, an ultrasound image is analyzed visually by an expert to determine the outer and inner cavities of blood vessels. However, it is not easy for an expert to understand the lumen of blood vessels due to the inherent resolution of ultrasound. Therefore, the location of the blood vessels is different from one expert to another, and even the same expert is variable in the position of the blood vessels at each examination, so it is not easy to track the history of the same patient. In addition, the conventional method takes a long time to analyze the component of the plaque, so it is not useful in the clinic that needs to determine the treatment of patients in real time.

Therefore, there is a need for the development of a method and apparatus capable of setting a consistent test area regardless of the inspector operating and diagnosing the device and rapidly measuring atherosclerotic plaque components.

An embodiment of the present invention was devised to meet the above requirements, and calculates the correlation between the percent plaque component volume calculated by plaque and the percent plaque component volume calculated by vessel volume assigned by IVUS-VH. Therefore, an object of the present invention is to provide a method and apparatus for diagnosing atherosclerosis.

Atherosclerosis diagnosis method for achieving the above object comprises the steps of registering the patient's data; Detecting lumen contours and blood vessel contours from the registered data; And performing geometric and constitutive analysis on each segment based on the detected lumen contour and the blood vessel contour.

The data registration step involves the registration of data for patients with left main disease, chronic total occlusions or intracoronary thrombus that appear in the target vessel in angiography. It is desirable to exclude.

In the detecting step, the lumen contour tracks the leading edge of the intima, and the blood vessel contour preferably tracks the leading edge of the outer membrane.

The analysis run step calculates the percent plaque component volume relative to the vessel volume by the plaque component volume divided by the vessel volume, defining the media volume plus the plaque burden by the plaque divided by the vessel volume x 100, The mean lumen area can be calculated by dividing the lumen volume by length.

In addition, the analysis execution step may include a plaque volume for blood vessel volume, an absolute plaque component volume for plaque volume, an absolute plaque component volume for blood vessel volume, and a plaque volume for percent plaque component volume calculated by the vessel volume. An analysis of the percent plaque component volume calculated by can be performed.

In the analysis execution step, the analysis can be performed using SPSS (version 17.0; SPSS Inc, Chicago, Illinois).

In addition, executing the analysis may calculate the relationship between the plaque volume and the blood vessel volume from the patient's data.

In addition, the analysis execution step, the plaque volume is the blood vessel volume and the relationship coefficient r = 0.893, p <0.001, the plaque burden (PB): PB <40% (r = 0.894, p <0.001), 40 <PB <50% (r = 0.984, p <0.001), 50 <PB <60% (r = 0.991, p <0.001), 60 <PB <70 (r = 0.987, p <0.001) and PB> 70% (r = 0.990, p <0.001) may be irrelevant.

Atherosclerosis diagnostic apparatus for achieving the above object, the patient data registration unit for registering the data of the patient; A detector for detecting lumen contours and blood vessel contours from the registered data; And an analysis execution unit that executes geometric and constitutive analysis in each segment based on the detected lumen contour and the blood vessel contour.

Here, the patient data register may include data on the patients with left main disease, chronic total occlusions or intracoronary thrombus that appear in the target vessel in angiography. Registration can be excluded.

In addition, the detector may detect the lumen contour by tracking the leading edge of the intima and the blood vessel contour by tracking the leading edge of the outer membrane.

The analysis execution unit also calculates the percent plaque component volume relative to the vessel volume by the plaque component volume divided by the blood vessel volume, and defines the media volume plus the plaque burden by the plaque divided by the vessel volume x 100, The mean lumen area can be calculated by dividing the lumen volume by the length of the obstruction.

In addition, the analysis execution unit may include the plaque volume for the blood vessel volume, the absolute plaque component volume for the plaque volume, the absolute plaque component volume for the vessel volume, and the plaque volume for the percent plaque component volume calculated by the vessel volume. An analysis of the percent plaque component volume calculated by can be performed.

In addition, the analysis execution unit may execute the analysis using SPSS (version 17.0; SPSS Inc, Chicago, Illinois).

The analysis execution unit may also calculate the relationship between the plaque volume and the blood vessel volume from the patient's data.

In addition, the analysis execution unit, the plaque volume is the blood vessel volume and the relationship coefficient r = 0.893, p <0.001, the plaque burden (PB): PB <40% (r = 0.894, p <0.001), 40 <PB <50% ( r = 0.984, p <0.001), 50 <PB <60% (r = 0.991, p <0.001), 60 <PB <70 (r = 0.987, p <0.001) and PB> 70% (r = 0.990, p <0.001) may be irrelevant.

According to an embodiment of the present invention, a correlation between the percent plaque component volume calculated by the plaque and the percent plaque component volume calculated by the vascular volume assigned by IVUS-VH can be calculated, thereby diagnosing atherosclerosis. Will be.

1 is a flowchart showing a method for diagnosing atherosclerosis according to an embodiment of the present invention.
2 is a graph showing the main relationship between the plaque volume and the blood vessel volume according to different plaque burdens.
3 is a graph showing the relationship between the absolute volume of each plaque component with respect to the plaque volume and the absolute volume of each plaque component with respect to the blood vessel volume.
4 is a graph showing the main relationship between the percent plaque component volume calculated by plaque volume and the percent plaque component volume calculated by blood vessel volume.
5 is a graph showing the negative relationship between plaque burden, volumetric analysis and mean lumen area.
6 is a graph showing the main relationship between plaque volume and blood vessel volume.
FIG. 7 is a view schematically showing an atherosclerosis diagnosing apparatus for performing the atherosclerosis diagnosis method of FIG. 1.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, a detailed description of known techniques well known to those skilled in the art may be omitted.

In addition, in describing the components of the present invention, different reference numerals may be given to components having the same name according to the drawings, and the same reference numerals may be given even though they are different drawings. However, even in such a case, it does not mean that the corresponding component has different functions according to the embodiment, or does not mean that the different components have the same function. It should be judged based on the description of each component in the example.

In the following description of the embodiments of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In addition, in describing the component of this invention, terms, such as 1st, 2nd, A, B, (a), (b), can be used. These terms are only for distinguishing the components from other components, and the nature, order or order of the components are not limited by the terms. If a component is described as being "connected", "coupled" or "connected" to another component, that component may be directly connected or connected to that other component, but between components It will be understood that may be "connected", "coupled" or "connected".

1 is a flowchart showing a method for diagnosing atherosclerosis according to an embodiment of the present invention. With reference to the drawings will be described in detail the atherosclerosis diagnostic method according to an embodiment of the present invention.

Absolute percent plaque component volumes derived by plaque based measurements have been mainly studied in the field of coronary artery disease using Intravascular Ultrasound Virtual Histology (IVUS-VH). Although recent studies show a proper relationship between each plaque component region and the overall plaque region, the effect of blood vessel size on the absolute percentage plaque component content has not yet been studied.

In the early stages of coronary atherosclerosis, human coronary arteries expand over the plaque region, and thus functionally important luminal stenosis can be delayed.

From this fact it can be hypothesized that the plaque size is closely related to the vessel size, and that the percent plaque component derived by the plaque-based measurement will be related to the percent plaque component derived by the blood vessel-based measurement. Embodiments of the present invention calculate a correlation between percent plaque component volume calculated by plaque and percent plaque component volume calculated by vessel volume assigned by IVUS-VH, and accordingly methods and apparatus for diagnosing atherosclerosis To develop.

The first step is to register the data for the patient (S101). The data for the patient includes ultrasound image data for the patient. Data for 206 patients with coronary artery disorder showing persistent angina or sensitive coronary symptoms and 206 patients with coronary artery disorder limited to non-persistent angina or non-ST-segment myocardial infarction were registered for the present invention. Patients with left main disease, chronic total occlusions or intracoronary thrombus appearing in target blood vessels in angiography were excluded. No complexity related to IVUS occurred. Although the patient's symptoms were treated as coronary intervention through the skin, the suspect's disability was limited to coronary disorder. All patients received informed consent and this study was certified by the Medical Council.

IVUS-VH is a commercially available phased-array IVUS catheters connected to a published IVUS-VH console (Volcano Corporation, Rancho Cordova, USA) to classify atherosclerotic plaques. (Eagle Eye Gold 2.9F 20MHz) was used to create tissue maps (fibrous: green; fibrofatty: light-green; necrotic core: red; and dense calcium: white) color coded with four main components. . Image acquisition is ECG-gated. After intracoronary injection of 200 μg nitroglycerin, continuous pullback of the IVUS catheter was performed using an automated pullback device at 0.5 mm / s. IVUS-VH data from the pullback was stored for offline analysis by independent key laboratories (Cardialysis BV, Rotterdam, The Netherlands). Lesions were established with the most diseased 10-mm segments included in the largest plaque burden. Volumetric reconstruction of this segment off-line was performed using pcVH 2.2 (Volcano Corporation). The contour of each visual cross image per frame was corrected manually. The lumen contour can be detected by tracking the leading edge of the intima, and the vascular contour can be detected by tracking the leading edge of the outer membrane (S103). Geometrical and constitutive analysis may be performed on each segment based on the detected lumen contour and the blood vessel contour (S105). In addition, the percent plaque component volume to blood vessel volume was calculated as the plaque component volume divided by the blood vessel volume. Plaque burden was defined as media volume plus plaque divided by blood vessel volume × 100. The mean lumen area was calculated by dividing the lumen volume by the length of the disorder.

The following relationship was implemented for the entire population.

(1) Plaque volume relative to blood vessel volume

(2) absolute plaque component volume relative to plaque volume

(3) absolute plaque component volume relative to blood vessel volume

(4) Percent plaque component volume calculated by plaque volume to percent plaque component volume calculated by blood vessel volume

All interpretations were performed using SPSS (version 17.0; SPSS Inc, Chicago, Illinois). Data are expressed in frequency or mean ± SD. Pearson's correlation coefficient was used to evaluate the relationship between the measured parameters. Bilateral p values less than 0.05 are significant.

Table 1 shows the characteristics of the patients. The mean age is 61.0 ± 9.5 years (range 35-88 years) and 124 (61.1%) patients are male. Clinical presentation shows steady angina in 88 patients (42.7%) and sensitive coronary signs in 118 (57.3%).

Table 2 shows the geometric and constructional analysis using IVUS-VH. Plaque burden was 52.8% and the length of obstacle was 10.8 mm. Overall, the marked plaque composition was fibrous tissue (31.9 ± 19.3 mm ³ ) followed by necrotic core (12.1 ± 9.0 mm ³ ), fibrofatty (5.9 ± 5.7 mm ³ ) and dense calcium (5.7 ± 5.7 mm ³ ).

Overall, plaque volume was closely related to blood vessel volume (relation coefficient r = 0.893, p <0.001), plaque burden (PB): PB <40% (r = 0.894, p <0.001), 40 <PB <50% (r = 0.984, p <0.001), 50 <PB <60% (r = 0.991, p <0.001), 60 <PB <70 (r = 0.987, p <0.001) and PB> 70% (r = 0.990, p <0.001) (see FIG. 2) was irrelevant.

The relationship between fibrous volume and plaque volume was closer than that of fibrous volume and blood vessel volume. In addition, the two relationship coefficients were more closely related to the relationship coefficients of the other tissue types (see FIG. 3). When comparing the percent plaque component volume calculated by plaque volume and the percent plaque component volume calculated by blood vessel volume, there was a more important relationship between both groups (see FIG. 4).

When plotting the mean lumen area with respect to the plaque burden, the lumen is slowly eroded by the plaque and the mean lumen area is reduced in direct relation to the plaque burden (see FIG. 5).

In Figure 6, the preferred correlation between plaque volume and vascular volume can be seen in patients with steady angina (r = 0.880, p <0.001) and sensitive coronary signs (r = 0.908, p <0.001).

Plaque progression is affected by many risk factors, and their expansion is generally the result of long exposure to such risks. This plaque progression leads to the accompanying expansion of blood vessels, a process known as remodeling. Although extensive remodeling and plaque composition is related to plaque vulnerability, the relationship between blood vessel size and plaque composition has not yet been studied. The main findings of the present invention are: (1) Plaque volume and blood vessel volume are independent of plaque burden and bed state; (2) The percent plaque component volume calculated by the plaque volume is related to the percent plaque component volume calculated by the vessel volume.

Although the middle region of each plaque component has recently been shown to be related to the overall plaque region, this does not indicate any relationship between the percent tissue type regions calculated by the vascular regions. In the present invention, the volumetric analysis was used to find a similar relationship between the middle region of each plaque component and the total plaque region, and the percent plaque component volume calculated by the plaque volume was determined by the percent plaque component volume calculated by the vessel volume. It is noteworthy that there is a close relationship. Naturally, plaque volume and blood vessel volume are closely related and the result is independent of plaque burden. All four plaque component volumes relative to the plaque volume show a similar relationship to each plaque component volume relative to blood vessel volume. These results indicate that the percent plaque component volume calculated by the vessel volume can be used as a standard parameter of the percent plaque component volume calculated by the plaque volume. The use of both parameters can make long-term changes that will be more fully characterized.

These findings indicate that plaque deposition rates can exceed the rate of vasodilation. The data above demonstrate greater than 40% diameter narrowing, and the plaque area continues to increase to finally cover the entire circumference of the vessel while the artery itself fails to expand at a rate that is not sufficient to prevent the lumen from narrowing. In contrast, arterial and plaque size can increase simultaneously, indicating that plaque deposition rate is faster than arterial expansion rate.

It has been observed that the variability for lumen contours is greater than the vascular contours. Moreover, lumen contours consume more time and are challenging for the appearance of artifacts. These factors hinder the widespread use of this imaging technique in catheterized experiments.

Recently, Shin's method has been introduced. This method derives the configuration of the IVUS catheter instead of the lumen configuration. This method leads to rapid quantification of dense calcium and necrotic cores, and also has good relevance to conventional methods and has excellent reproducibility for the measurement of necrotic cores and dense calcium using IVUS-VH. Therefore, the renal method can replace conventional methods for measuring necrotic cores and calcium in atherosclerotic disorders, and is said to be useful in catheterized experiments for on-line disease. However, in nature (not plaque-based) it does not provide the plaque size and percent plaque components obtained by plaque-based measurements. This means that only a few percentages that can be used for vessel size can be obtained. Thus, from this interpretation, the relationship between plaque-based and blood vessel-based measurements was studied. The impact on plaque vulnerability in the calculation of percent necrotic core is critically relevant, and new parameters of percent necrotic core and dense calcium volume obtained by blood vessel-based measurements are used to assess lumen contour discovery in the new method. It is not affected by In the present invention, the percent plaque component volume calculated by vascular volume may be a useful parameter for the neural method of assessing the necrotic core and the loading of calcium. In addition, in a shorter interpretation, the new method may play an important role in determining the absolute and percent necrotic core, and dense calcium 'real time' in catheterized experiments.

These disorders were evaluated in the most diseased 10-mm segment of the vessels contained in the largest plaque burden. Thus, the relationship between plaque and blood vessel size in other less severe atherosclerotic disorders is unknown. However, it includes disorders of plaque burden with varying amounts.

Plaque and blood vessel volume are closely related to plaque burden as a whole. For percent plaque component volume, plaque based measurements are also closely related to blood vessel based measurements. Thus, vascular based measurements can replace conventional plaque based measurements to determine percent plaque components in atherosclerotic intestines.

FIG. 7 is a view schematically showing an atherosclerosis diagnosing apparatus for performing the atherosclerosis diagnosis method of FIG. 1. Referring to the drawings, the atherosclerosis diagnosis apparatus includes a patient data registration unit 710, detection unit 720 and analysis execution unit 730.

The patient data register 710 registers data including ultrasound data of the patient. In the embodiment of the present invention, the data of 206 patients with coronary artery disorder showing persistent angina or sensitive coronary symptoms and coronary artery disorder with limited to non-persistent angina or non-ST-segment myocardial infarction were registered. At this time, it is not necessary to exclude the registration of data for patients with left main disease, chronic total occlusions or intracoronary thrombus that appear in the target vessel in angiography. desirable.

The detector 720 detects the lumen contour and the blood vessel contour from the registered patient data. The lumen contour tracks the leading edge of intima and the vascular contour can be detected by tracking the leading edge of the outer membrane.

The analysis execution unit 730 performs geometric and constitutive analysis on each segment based on the detected lumen contour and the blood vessel contour. At this time, the plaque component volume divided by the blood vessel volume is used to calculate the percent plaque component volume relative to the vessel volume, define the media burden plus the plaque burden by the plaque divided by the vessel volume x 100, and lumen to the disorder length. Divide the volume to calculate the mean lumen area. In addition, the analysis execution unit 730 is based on the percentage of the plaque component volume calculated by the plaque volume for the vessel volume, the absolute plaque component volume for the plaque volume, the absolute plaque component volume for the vessel volume, and the vessel volume in the entire population. An analysis of the percent plaque component volume, calculated by the plaque volume for, can be performed. Analysis execution method by the analysis execution unit 730 is the same as the above-described analysis execution process, the detailed description thereof will be omitted here.

The present invention is not necessarily limited to these embodiments, as all the constituent elements constituting the embodiment of the present invention are described as being combined or operated in one operation. In other words, within the scope of the present invention, all of the components may be selectively operated in combination with one or more. In addition, although all of the components may be implemented in one independent hardware, each or all of the components may be selectively combined to perform some or all functions combined in one or a plurality of hardware. It may be implemented as a computer program having a. In addition, such a computer program may be stored in a computer readable medium such as a USB memory, a CD disk, a flash memory, and the like, and read and executed by a computer, thereby implementing embodiments of the present invention. The storage medium of the computer program may include a magnetic recording medium, an optical recording medium, a carrier wave medium, and the like.

In addition, all terms including technical or scientific terms have the same meaning as commonly understood by a person of ordinary skill in the art unless otherwise defined in the detailed description. Terms used generally, such as terms defined in a dictionary, should be interpreted to coincide with the contextual meaning of the related art, and shall not be interpreted in an ideal or excessively formal sense unless explicitly defined in the present invention.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. Therefore, the protection scope of the present invention should be interpreted by the claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

700: atherosclerosis diagnosis device

Claims (16)

Registering the patient's data;
Detecting lumen contours and blood vessel contours from the registered data; And
Performing geometric and constitutive analysis on each segment based on the detected lumen contour and the vessel contour
Atherosclerosis diagnostic method comprising a.
The method of claim 1,
The data registration step,
It excludes the registration of data for patients with left main disease, chronic total occlusions or intracoronary thrombus that appear in the target vessel in angiography. Atherosclerosis diagnosis method.
The method of claim 1,
The detecting step,
The lumen contour tracks the leading edge of intima, and the vascular contour tracks and detects the leading edge of the outer membrane.
The method of claim 1,
The analysis execution step,
Calculate the percent plaque component volume relative to the vessel volume by the plaque component volume divided by the vessel volume, define the media volume plus the plaque burden by the plaque divided by the vessel volume x 100, and lumen volume by the obstruction length. A method for diagnosing atherosclerosis, comprising dividing the mean lumen area.
The method of claim 4, wherein
The analysis execution step,
The plaque volume for the vessel volume, the absolute plaque component volume for the plaque volume, the absolute plaque component volume for the vessel volume, and the plaque volume for the percent plaque component volume calculated by the vessel volume in the total population. Atherosclerosis diagnostic method characterized by performing an analysis of the percent plaque component volume calculated by.
The method of claim 1,
The analysis execution step,
A method for diagnosing atherosclerosis, characterized by performing an analysis using SPSS (version 17.0; SPSS Inc, Chicago, Illinois).
The method of claim 1,
The analysis execution step,
Atherosclerosis diagnostic method, characterized in that the relationship between the plaque volume and the blood vessel volume is calculated from the patient's data.
The method of claim 7, wherein
The analysis execution step,
The plaque volume is correlated with blood vessel volume, r = 0.893, p <0.001, plaque burden (PB): PB <40% (r = 0.894, p <0.001), 40 <PB <50% (r = 0.984, p <0.001), 50 ≤ PB <60% (r = 0.991, p <0.001), 60 ≤ PB <70 (r = 0.987, p <0.001) and PB> 70% (r = 0.990, p <0.001) Atherosclerosis diagnostic method characterized by the above-mentioned.
A patient data register for registering data of the patient;
A detector for detecting lumen contours and blood vessel contours from the registered data; And
Analysis execution unit for performing geometric and constitutive analysis in each segment based on the detected lumen contour and the vessel contour
Atherosclerosis diagnostic device comprising a.
The method of claim 9,
The patient data registration unit,
It excludes the registration of data for patients with left main disease, chronic total occlusions or intracoronary thrombus that appear in the target vessel in angiography. Atherosclerosis diagnostic device.
The method of claim 9,
Wherein:
The lumen contour tracks the leading edge of intima, and the vascular contour tracks and detects the leading edge of the outer membrane.
The method of claim 9,
The analysis execution unit,
Calculate the percent plaque component volume relative to the vessel volume by the plaque component volume divided by the vessel volume, define the media volume plus the plaque burden by the plaque divided by the vessel volume x 100, and lumen volume by the obstruction length. Atherosclerosis diagnostic device, characterized in that to calculate the mean lumen area by dividing.
The method of claim 12,
The analysis execution unit,
The plaque volume for the vessel volume, the absolute plaque component volume for the plaque volume, the absolute plaque component volume for the vessel volume, and the plaque volume for the percent plaque component volume calculated by the vessel volume in the total population. Atherosclerosis diagnostic apparatus characterized by performing an analysis of the percent plaque component volume calculated by.
The method of claim 9,
The analysis execution unit,
Atherosclerosis diagnostic apparatus characterized by performing an analysis using SPSS (version 17.0; SPSS Inc, Chicago, Illinois).
The method of claim 9,
The analysis execution unit,
Atherosclerosis diagnosis device, characterized in that for calculating the relationship between the plaque volume and the blood vessel volume from the patient data.
The method of claim 7, wherein
The analysis execution unit,
The plaque volume is correlated with blood vessel volume, r = 0.893, p <0.001, plaque burden (PB): PB <40% (r = 0.894, p <0.001), 40 <PB <50% (r = 0.984, p <0.001), 50 ≤ PB <60% (r = 0.991, p <0.001), 60 ≤ PB <70 (r = 0.987, p <0.001) and PB> 70% (r = 0.990, p <0.001) Atherosclerosis diagnostic device characterized in that.

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