MSCT Coronary Angiography in Diagnosis of Chronic Coronary Occlusions

Shumakov, I. I.; Sukhova, M. B.

doi:10.17691/stm2018.10.2.13

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…In addition, it has been reported that it outperforms the standard invasive method in the evaluation of some parameters such as the degree of calcification. [4] Evaluation of coronary artery calcification by computed tomography is equivalent to the total coronary atherosclerosis burden and cardiovascular event risk. [5] The Agatston method is the most widely used for calculating the calcium score (CaS).…”

Section: Introductionmentioning

confidence: 99%

Angina Pektoris Hastalarında B-Tipi Natriüretik Peptit ve Kalsiyum Skoru

Özbek¹

2021

Journal of Contemporary Medicine

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The purpose of this study is to look into the relationship between coronary artery disease evaluated with multislice computed tomography (MSCT) findings and B-type natriuretic peptide (BNP) and calcium score (CaS). Material and Method:The study included 83 patients who were administered to our center and who had asymptomatic and stable angina pectoris. Blood samples were collected for BNP testing, and the Abbott AxSYM System kit was used for measurements. Calcium scoring was performed on each of the four main coronary arteries, and the total "Agatston" score was calculated for each patient by summing up the results. MSCT angiograms were studied at the three-dimensional operating base.Results: Coronary artery disease (CAD) was found in 51 (61.4%) patients, while the coronary arteries of 32 (38.6%) patients were deemed normal. While patients with CAD had a median BNP of 33.9 (0-834), those without CAD had a median of 19.2 (0-185), which was statistically significant (p=0.011). Furthermore, there was a positive correlation between the number of vessels involved and BNP (r = 0.364, p=0.001). BNP levels were found to be significantly higher in hypertensive patients (p=0.008). The CaS and BNP median of the group with three-vessel involvement were significantly higher (p < 0.001 and p=0.007, respectively). According to the multivariate logistic regression results, BNP and age were not found to be associated with presence of CAD, but CaS was found to be associated. Conclusion:CaS was found to be associated with presence of CAD. Further studies should be conducted to confirm aforementioned associations.

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Section: Introductionmentioning

confidence: 99%

Angina Pektoris Hastalarında B-Tipi Natriüretik Peptit ve Kalsiyum Skoru

Özbek¹

2021

Journal of Contemporary Medicine

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Application of digital processing methods for automated cardiac segmentation from computed tomography data

Shirshin

Boikov²,

Malakhovsky³

et al. 2022

Russian Military Medical Academy Reports

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Computed tomography is now widely used in cardiac surgery as a method of non-destructive study of internal structure of objects, including specific tasks, such as mathematical modeling of physiological processes, surgical interventions in augmented reality, 3D printing, and radiomics. One of the key steps in creating a 3D model from computed tomography data is segmentation the process of selecting objects in the image. Currently, there are several approaches to automating the segmentation process, including image processing methods, texture analysis and machine learning algorithms (in particular, clustering). Image processing methods are the simplest of the presented approaches and are found in various applications for segmentation of tomographic data. This paper reviews the advantages and disadvantages of various image processing methods (threshold, region growing, contour detection, and morphological watersheds) as tools for automated cardiac segmentation from computed tomography data. It was revealed that computed tomography images have characteristic features affecting the segmentation process (presence of noise, partial volume effect, etc.). The choice of the segmentation method is based on the brightness characteristics of the area of interest and also requires knowledge of the subject area, so it should be performed by a specialist with competence in anatomy and digital image processing. As independent methods of automated segmentation, the listed methods are applicable only in relatively simple cases (selection of homogeneous or high-contrast areas), otherwise, a combination of these methods, the use of machine learning algorithms or manual correction of the results is required.

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MSCT Coronary Angiography in Diagnosis of Chronic Coronary Occlusions

Cited by 2 publications

References 4 publications

Angina Pektoris Hastalarında B-Tipi Natriüretik Peptit ve Kalsiyum Skoru

Angina Pektoris Hastalarında B-Tipi Natriüretik Peptit ve Kalsiyum Skoru

Application of digital processing methods for automated cardiac segmentation from computed tomography data

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