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Gać P, Kędzierski B, Macek P, Pawlas K, Poręba R. Estimation of Aortic Valve Calcium Score Based on Angiographic Phase Versus Reduction of Ionizing Radiation Dose in Computed Tomography. Life (Basel) 2021; 11:life11070604. [PMID: 34201824 PMCID: PMC8305341 DOI: 10.3390/life11070604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/16/2021] [Accepted: 06/22/2021] [Indexed: 11/23/2022] Open
Abstract
The aim of the study was to evaluate the estimation efficacy of aortic valve calcium score (AVCS) based on the multislice computed tomography (MSCT) angiographic phase. The evaluation of the reduced amount of ionizing radiation dose was performed because of this estimation. The study included 51 consecutive patients who qualified for transcatheter aortic valve implantation (TAVI) (78.59 ± 5.72 years). All subjects underwent MSCT: in the native phase dedicated to AVCS as well as angiographic phases aimed to morphologically assess the aortic ostium and arterial accesses for TAVI. Based on the native phase, an AVCS assessment was performed for axial reconstructions at 3.0 mm and 2.0 mm slice thickness (AVCSnative3.0 and AVCSnative2.0). Based on the angiographic phase AVCS was estimated for axial reconstruction at 0.6 mm slice thickness with increased values of lesion density in aortic valve cusps/aortic valve annulus, which is considered a calcification, from a typical value of 130 HU to 500 HU and 600 HU (AVCSCTA0.6 500 HU and AVCSCTA0.6 600 HU). Mathematical formulations were developed, allowing for AVCS native calculation based on AVCS values estimated based on the angiographic phase: AVCSnative3.0 = 813.920 + 1.510 AVCSCTA0.6 500 HU; AVCSnative3.0 = 1235.863 + 1.817 AVCSCTA0.6 600 HU; AVCSnative2.0 = 797.471 + 1.393 AVCSCTA0.6 500 HU; AVCSnative2.0 = 1228.310 + 1.650 AVCSCTA0.6 600 HU. The amount of a potential reduction in dose length product (DLP) in the case of AVCS estimation was 4.45 ± 1.54%. In summary, relying solely on the angiographic phase of MSCT examination before TAVI, it is possible to conclusively estimate AVCS. This estimation results in a marked reduction in radiation dose in MSCT.
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Affiliation(s)
- Paweł Gać
- Department of Hygiene, Wroclaw Medical University, Mikulicza-Radeckiego 7, PL 50-368 Wroclaw, Poland;
- Centre for Diagnostic Imaging, 4th Military Hospital, Weigla 5, PL 50-981 Wroclaw, Poland
- Correspondence: ; Tel.: +48-261-660-480
| | - Bartłomiej Kędzierski
- Center for Diagnostic Imaging, University Clinical Hospital in Wrocław, Borowska 213, PL 50-556 Wroclaw, Poland;
| | - Piotr Macek
- Department of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Borowska 213, PL 50-556 Wroclaw, Poland; (P.M.); (R.P.)
| | - Krystyna Pawlas
- Department of Hygiene, Wroclaw Medical University, Mikulicza-Radeckiego 7, PL 50-368 Wroclaw, Poland;
| | - Rafał Poręba
- Department of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Borowska 213, PL 50-556 Wroclaw, Poland; (P.M.); (R.P.)
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Kutkienė S, Petrulionienė Ž, Laucevičius A, Čerkauskienė R, Kasiulevičius V, Samuilis A, Augaitienė V, Gedminaitė A, Bieliauskienė G, Šaulytė-Mikulskienė A, Staigytė J, Petrulionytė E, Gargalskaitė U, Skiauterytė E, Matuzevičienė G, Kovaitė M, Nedzelskienė I. Is the coronary artery calcium score the first-line tool for investigating patients with severe hypercholesterolemia? Lipids Health Dis 2019; 18:149. [PMID: 31279347 PMCID: PMC6612412 DOI: 10.1186/s12944-019-1090-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 06/18/2019] [Indexed: 12/18/2022] Open
Abstract
Background Coronary artery calcium (CAC) is known as a reliable tool for estimating risk of myocardial infarction, coronary death, all-cause mortality and is even used to evaluate suitable asymptomatic patients. We therefore aimed to evaluate whether CAC scoring can be applied in the algorithm for clinical examination of patients with severe hypercholesterolemia (SH). Methods During the period of 2016–2017 a total of 213 asymptomatic adults, underwent computed tomography angiography to evaluate their CAC scoring. The sample consisted of 110 patients with SH and 103 age and sex matched controls without dyslipidemia and established cardiovascular disease. Results In total there were 79 (37.2%) subjects with elevated (≥25th) CAC percentiles. Out of them 47 (59.5%) had SH and 32 (40.5%) did not. CAC score did not differ between groups (SH (+) 140.30 ± 185.72 vs SH (−) 87.84 ± 140.65, p = 0.146), however there was a comparable difference in how the participants of these groups distributed among different percentile groups (p = 0.044). Gender, blood pressure, tabaco use, physical activity, family history of coronary artery disease and diabetes mellitus were not associated with CAC score (p > 0.05). There were no significant correlations between biochemical parameters and CAC percentiles except for increase in lipoprotein(a) (p = 0.038). Achilles tendon pathology, visceral obesity, body mass index and increased waist-hip ratio were not associated with CAC percentiles either (p > 0.05). Conclusions CAC score is not associated with presence of SH. CAC score is not an appropriate diagnostic tool in the algorithm for clinical examination of patients with SH. Further larger studies are needed to support our findings.
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Affiliation(s)
- Sandra Kutkienė
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Žaneta Petrulionienė
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Aleksandras Laucevičius
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Rimantė Čerkauskienė
- Vilnius University Hospital Santaros Klinikos, Children's hospital, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Vytautas Kasiulevičius
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine Clinic of Internal Diseases Family Medicine and Oncology, Vilnius University, Vilnius, Vilnius, Lithuania
| | - Artūras Samuilis
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Department of Radiology Nuclear Medicine and Medical Physics, Vilnius University Institute of Biomechanical Sciences, Vilnius, Lithuania
| | - Virginija Augaitienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Department of Radiology Nuclear Medicine and Medical Physics, Vilnius University Institute of Biomechanical Sciences, Vilnius, Lithuania
| | - Aurelija Gedminaitė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Department of Radiology Nuclear Medicine and Medical Physics, Vilnius University Institute of Biomechanical Sciences, Vilnius, Lithuania
| | - Gintarė Bieliauskienė
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Akvilė Šaulytė-Mikulskienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania. .,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.
| | - Justina Staigytė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | | | - Urtė Gargalskaitė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Eglė Skiauterytė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Gabija Matuzevičienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Milda Kovaitė
- Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Irena Nedzelskienė
- Vilnius University Hospital Santaros Klinikos, Children's hospital, Vilnius, Lithuania
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