PMID- 36281342
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221101
IS  - 1178-2390 (Print)
IS  - 1178-2390 (Electronic)
IS  - 1178-2390 (Linking)
VI  - 15
DP  - 2022
TI  - The Impact of Data Management on the Achievable Dose and Efficiency of Computed 
      Tomography During the COVID-19 Era: A Facility-Based Ambispective Study.
PG  - 2385-2397
LID - 10.2147/JMDH.S383957 [doi]
AB  - PURPOSE: This study primarily aimed to evaluate the effectiveness of 
      computational data management and analytical software for establishing 
      departmental diagnostic reference levels (DRLs) for computed tomography (CT) 
      scanning in clinical settings, and monitor achievable doses (ADs) for CT imaging, 
      particularly during the coronavirus disease 2019 (COVID-19) era. Secondarily, it 
      aimed to correlate these standards with national and international benchmarks. 
      PATIENTS AND METHODS: This ambidirectional cohort study enrolled 4668 patients 
      (6419 CT-based examinations) who visited King Fahd Hospital of the University 
      from May 25, 2021, to November 4, 2021. Participants' demographic data were 
      acquired from their electronic medical charts, in addition to all corresponding 
      CT-dose determinant parameters. The study was divided into two phases (pre- and 
      post-data management) based on the implementation of digital data management 
      software. RESULTS: In both phases of the study, the size-specific dose estimate 
      (SSDE) was the most significant confounder of dose determination compared to the 
      dose-length product (DLP) and computed tomography dose index (CTDI) (P = 0.003). 
      The head was the most frequently imaged body region (pre-implementation, 1051 
      examinations [35.1%]; post-implementation, 1071 examinations [31.3%]; P = 0.001), 
      followed by the abdominal region (pre-implementation, 616 examinations [20.6%]; 
      post-implementation, 256 examinations [7.48%]; P = 0.001). Based on the SSDE, 
      DLP, and volume CTDI, the average per-section radiation exposure among 
      organ-based scanning type was highest for the lumbar spine during the pre- and 
      post-implementation periods. CONCLUSION: Data management software enabled the 
      establishment of DRLs and reduction of ADs in CT examinations, which consequently 
      improved key performance indicators, despite the ergonomic complexities of 
      COVID-19. Institutions are encouraged to apply DRLs and ADs via automatic systems 
      that monitor patient dose indices to evaluate aggregate results.
CI  - (c) 2022 Al-Sharydah et al.
FAU - Al-Sharydah, Abdulaziz Mohammad
AU  - Al-Sharydah AM
AUID- ORCID: 0000-0002-6590-5850
AD  - Diagnostic and Interventional Radiology Department, Imam Abdulrahman Bin Faisal 
      University, King Fahd Hospital of the University, Al-Khobar City, Eastern 
      Province, Saudi Arabia.
FAU - Hegazi, Tarek Mohammed
AU  - Hegazi TM
AUID- ORCID: 0000-0002-8796-4923
AD  - Diagnostic and Interventional Radiology Department, Imam Abdulrahman Bin Faisal 
      University, King Fahd Hospital of the University, Al-Khobar City, Eastern 
      Province, Saudi Arabia.
FAU - Al-Othman, Abdullah Yousef
AU  - Al-Othman AY
AUID- ORCID: 0000-0002-0609-0380
AD  - Diagnostic and Interventional Radiology Department, Imam Abdulrahman Bin Faisal 
      University, King Fahd Hospital of the University, Al-Khobar City, Eastern 
      Province, Saudi Arabia.
FAU - Al-Aftan, Mohammad Saad
AU  - Al-Aftan MS
AUID- ORCID: 0000-0003-0779-8353
AD  - Diagnostic and Interventional Radiology Department, Imam Abdulrahman Bin Faisal 
      University, King Fahd Hospital of the University, Al-Khobar City, Eastern 
      Province, Saudi Arabia.
FAU - Al-Shehri, Sultan Salman
AU  - Al-Shehri SS
AUID- ORCID: 0000-0001-9859-8343
AD  - Diagnostic and Interventional Radiology Department, Imam Abdulrahman Bin Faisal 
      University, King Fahd Hospital of the University, Al-Khobar City, Eastern 
      Province, Saudi Arabia.
LA  - eng
PT  - Journal Article
DEP - 20221018
PL  - New Zealand
TA  - J Multidiscip Healthc
JT  - Journal of multidisciplinary healthcare
JID - 101512691
PMC - PMC9587732
OTO - NOTNLM
OT  - cross-sectional imaging
OT  - diagnostic reference levels
OT  - protocol streamlining
OT  - radiation exposure
OT  - radiation protection
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2022/10/26 06:00
MHDA- 2022/10/26 06:01
PMCR- 2022/10/18
CRDT- 2022/10/25 01:47
PHST- 2022/07/28 00:00 [received]
PHST- 2022/10/06 00:00 [accepted]
PHST- 2022/10/25 01:47 [entrez]
PHST- 2022/10/26 06:00 [pubmed]
PHST- 2022/10/26 06:01 [medline]
PHST- 2022/10/18 00:00 [pmc-release]
AID - 383957 [pii]
AID - 10.2147/JMDH.S383957 [doi]
PST - epublish
SO  - J Multidiscip Healthc. 2022 Oct 18;15:2385-2397. doi: 10.2147/JMDH.S383957. 
      eCollection 2022.