Analysis of factors that affect radiation dose level during interventional cardiology procedures using logistic regression

Authors

  • Edrees Harki Physics Department, Education College, Salaheddin university-Erbil/ Kurdistan Region
  • Zhala S. Rashid Physics Department, Education College, Salaheddin university-Erbil/ Kurdistan Region

DOI:

https://doi.org/10.31349/RevMexFis.69.031101

Keywords:

Interventional cardiology; Fluoroscopy; Logistic regression

Abstract

Interventional cardiology procedures (ICP) are considered some of the main medical procedures in which patients are exposed to high doses of radiation. The aim of this study was to examine how to control the level of radiation exposure and to analyse and study the factors affecting the increase in radiation exposure from the specified level using a regression method. The results model correctly predicted that in 80.0%, 90.5%, and 95.2% of the cases, there were routine dose area product (DAP) levels, and in 64.3%, 33.3%, and 77.8% of cases, there were high levels of DAP, giving an overall percentage, correct prediction rate of 72.45%, 73.35%, and 90.0%, for coronary angiography (CA), percutaneous coronary intervention (PCI), and combined CA with PCI (CA/PCI), respectively. All the factors studied in this research, namely Kv, mA, Fluoroscopy Time (FT) and Body Mass Index (BMI), have a significant relationship with the DAP level. We concluded that regression analysis is a reliable method for evaluating the user protocol in a center or hospital and identifying variables that have an effect on the dose area product level in interventional cardiology.

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Published

2023-05-01

How to Cite

[1]
E. Harki and Z. . S. . Rashid, “Analysis of factors that affect radiation dose level during interventional cardiology procedures using logistic regression”, Rev. Mex. Fís., vol. 69, no. 3 May-Jun, pp. 031101 1–, May 2023.

Issue

Vol. 69 No. 3 May-Jun (2023): Revista Mexicana de Física

Section

11 Medical Physics

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Copyright (c) 2023 Edrees Harki, Zhala S. Rashid

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