Your browser doesn't support javascript.
The Impact of Data Management on the Achievable Dose and Efficiency of Mammography and Radiography During the COVID-19 Era: A Facility-Based Cohort Study.
Hegazi, Tarek Mohammed; AlSharydah, Abdulaziz Mohammad; Alfawaz, Iba; Al-Muhanna, Afnan Fahad; Faisal, Sarah Yousef.
  • Hegazi TM; Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar City, Eastern Province, Saudi Arabia.
  • AlSharydah AM; Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar City, Eastern Province, Saudi Arabia.
  • Alfawaz I; Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar City, Eastern Province, Saudi Arabia.
  • Al-Muhanna AF; Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar City, Eastern Province, Saudi Arabia.
  • Faisal SY; Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar City, Eastern Province, Saudi Arabia.
Risk Manag Healthc Policy ; 16: 401-414, 2023.
Article in English | MEDLINE | ID: covidwho-2262589
ABSTRACT

Purpose:

To evaluate the impact of using computational data management resources and analytical software on radiation doses in mammography and radiography during the COVID-19 pandemic, develop departmental diagnostic reference levels (DRLs), and describe achievable doses (ADs) for mammography and radiography based on measured dose parameters. Patients and

Methods:

This ambispective cohort study enrolled 795 and 12,115 patients who underwent mammography and radiography, respectively, at the King Fahd Hospital of the University, Al-Khobar City, Saudi Arabia between May 25 and November 4, 2021. Demographic data were acquired from patients' electronic medical charts. Data on mammographic and radiographic dose determinants were acquired from the data management software. Based on the time when the data management software was operational in the institute, the study was divided into the pre-implementation and post-implementation phases. Continuous and categorical variables were compared between the two phases using an unpaired t-test and the chi-square test.

Results:

The median accumulated average glandular dose (AGD; a mammographic dose determinant) in the post-implementation phase was three-fold higher than that in the pre-implementation phase. The average mammographic exposure time in the post-implementation phase was 16.3 ms shorter than that in the pre-implementation phase. Furthermore, the median values of the dose area product ([DAP], a radiographic dose determinant) were 9.72 and 19.4 cGycm2 in the pre-implementation and post-implementation phases, respectively.

Conclusion:

Although the data management software used in this study helped reduce the radiation exposure time by 16.3 ms in mammography, its impact on the mean accumulated AGD was unfavorable. Similarly, radiographic exposure indices, including DAP, tube voltage, tube current, and exposure time, were not significantly different after the data management software was implemented. Close monitoring of patient radiation doses in mammography and radiography, and dose reduction will become possible if imaging facilities use DRLs and ADs via automated systems.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Risk Manag Healthc Policy Year: 2023 Document Type: Article Affiliation country: RMHP.S389960

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Risk Manag Healthc Policy Year: 2023 Document Type: Article Affiliation country: RMHP.S389960