Impacts of body mass index on radiation exposure of patients undergo interventional cardiology
Impacts of patient body mass index (BMI) on the radiation exposure during interventional cardiology procedures have been investigated. The study included cardiac catheterization and percutaneous coronary intervention patients between January and August 2021 (89 patients: ages: 36-80 years old:...
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| Format: | Article |
| Language: | English |
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Salahaddin University-Erbil
2022-06-01
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| Series: | Zanco Journal of Pure and Applied Sciences |
| Subjects: | |
| Online Access: | https://zancoj.su.edu.krd/index.php/JPAS/article/view/166 |
| _version_ | 1811243217810620416 |
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| author | Zhala S. Rashid Edrees M. Harki |
| author_facet | Zhala S. Rashid Edrees M. Harki |
| author_sort | Zhala S. Rashid |
| collection | DOAJ |
| description | Impacts of patient body mass index (BMI) on the radiation exposure during interventional cardiology procedures have been investigated. The study included cardiac catheterization and percutaneous coronary intervention patients between January and August 2021 (89 patients: ages: 36-80 years old: male and female). Radiation exposure (x-ray) was recorded clinically, and the patient radiation exposure was established into three groups. First, the clinical data and technical factors were gathered from 29 Cardio angiography (CA); second, 30 percutaneous coronary intervention (PCI). Third, 30 double set-ups (CA/PCI) procedures; all performed using the femoral approach. Statistics is a powerful statistical software (SPSS) has been used to analysis the recorded data with a linear regression model. The results were shown a significant correlation between the body mass index (BMI) and the variables parameters; kV, mA, FT and DAP. For every value of BMI of the patients visiting the cardiology hospital, the specific and real needed value of (kV, mA, FT, and DAP) can be determined using the above models. The regression analysis method can be used in quality assurance and driving the diagnostic reference level and dose optimization.
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| first_indexed | 2024-04-12T14:03:42Z |
| format | Article |
| id | doaj.art-cf30308d9e3c4afeb72ab94713acc68a |
| institution | Directory Open Access Journal |
| issn | 2218-0230 2412-3986 |
| language | English |
| last_indexed | 2024-04-12T14:03:42Z |
| publishDate | 2022-06-01 |
| publisher | Salahaddin University-Erbil |
| record_format | Article |
| series | Zanco Journal of Pure and Applied Sciences |
| spelling | doaj.art-cf30308d9e3c4afeb72ab94713acc68a2022-12-22T03:30:08ZengSalahaddin University-ErbilZanco Journal of Pure and Applied Sciences2218-02302412-39862022-06-0134311010.21271/ZJPAS.34.3.1Impacts of body mass index on radiation exposure of patients undergo interventional cardiologyZhala S. Rashid0Edrees M. Harki1Department of Physics, College of Education, Salahaddin university-Erbil, Kurdistan Region- IraqDepartment of Physics, College of Education, Salahaddin university-Erbil, Kurdistan Region- Iraq Impacts of patient body mass index (BMI) on the radiation exposure during interventional cardiology procedures have been investigated. The study included cardiac catheterization and percutaneous coronary intervention patients between January and August 2021 (89 patients: ages: 36-80 years old: male and female). Radiation exposure (x-ray) was recorded clinically, and the patient radiation exposure was established into three groups. First, the clinical data and technical factors were gathered from 29 Cardio angiography (CA); second, 30 percutaneous coronary intervention (PCI). Third, 30 double set-ups (CA/PCI) procedures; all performed using the femoral approach. Statistics is a powerful statistical software (SPSS) has been used to analysis the recorded data with a linear regression model. The results were shown a significant correlation between the body mass index (BMI) and the variables parameters; kV, mA, FT and DAP. For every value of BMI of the patients visiting the cardiology hospital, the specific and real needed value of (kV, mA, FT, and DAP) can be determined using the above models. The regression analysis method can be used in quality assurance and driving the diagnostic reference level and dose optimization. https://zancoj.su.edu.krd/index.php/JPAS/article/view/166: body mass indexcardiologyradiation exposureradiation dosex-ray abstract |
| spellingShingle | Zhala S. Rashid Edrees M. Harki Impacts of body mass index on radiation exposure of patients undergo interventional cardiology Zanco Journal of Pure and Applied Sciences : body mass index cardiology radiation exposure radiation dose x-ray abstract |
| title | Impacts of body mass index on radiation exposure of patients undergo interventional cardiology |
| title_full | Impacts of body mass index on radiation exposure of patients undergo interventional cardiology |
| title_fullStr | Impacts of body mass index on radiation exposure of patients undergo interventional cardiology |
| title_full_unstemmed | Impacts of body mass index on radiation exposure of patients undergo interventional cardiology |
| title_short | Impacts of body mass index on radiation exposure of patients undergo interventional cardiology |
| title_sort | impacts of body mass index on radiation exposure of patients undergo interventional cardiology |
| topic | : body mass index cardiology radiation exposure radiation dose x-ray abstract |
| url | https://zancoj.su.edu.krd/index.php/JPAS/article/view/166 |
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