PMID- 37218187
OWN - NLM
STAT- MEDLINE
DCOM- 20231115
LR  - 20231122
IS  - 1573-4056 (Electronic)
VI  - 20
DP  - 2024
TI  - Establishing Protocol-based Dose Metrics for Common Abdomen and Pelvis Computed 
      Tomography Protocols.
PG  - e220523217204
LID - 10.2174/1573405620666230522151357 [doi]
AB  - BACKGROUND AND AIM: The majority of the existing diagnostic reference levels 
      (DRLs) that have been established for computed tomography (CT) are based on 
      various anatomical locations, such as the head, chest, abdomen, etc. However, 
      DRLs are initiated to improve radiation protection by conducting a comparison of 
      similar examinations with similar objectives. The aim of this study was to 
      explore the feasibility of establishing dose baselines based on common CT 
      protocols for patients who underwent enhanced CT abdomen and pelvis exams. 
      METHODS: Dose length product total (tDLPs), volumetric CT dose index (CTDIvol), 
      size-specific dose estimate (SSDE), effective dose (E), and scan acquisition 
      parameters for a total of 216 adult patients, who underwent an enhanced CT 
      abdomen and pelvis exams over a one-year period, were obtained and 
      retrospectively analyzed. Spearman coefficient and one-way ANOVA tests were used 
      to check significant differences between dose metrics and the different CT 
      protocols. RESULTS: The data exhibited 9 different CT protocols to acquire an 
      enhanced CT abdomen and pelvis exam at our institute. Out of these, 4 were found 
      more common, i.e., CT protocols were acquired for a minimum of 10 cases. 
      Triphasic liver demonstrated the highest mean and median tDLPs across all 4 CT 
      protocols. Triphasic liver protocol registered the highest E followed by gastric 
      sleeve protocol with a mean of 28.7 and 24.7 mSv, respectively. Significant 
      differences (p < 0.0001) were found between the tDLPs of anatomical location and 
      the CT protocol. CONCLUSION: Evidently, wide variability exists across CT dose 
      indices and patient dose metrics relying on anatomical-based dose baseline, i.e., 
      DRLs. Patient dose optimizations require establishing dose baselines based on CT 
      protocols rather than the anatomical location.
CI  - Copyright(c) Bentham Science Publishers; For any queries, please email at 
      epub@benthamscience.net.
FAU - Dalah, Entesar Zawam
AU  - Dalah EZ
AD  - Department of Head Quarter Diagnostic Imaging, Dubai Health Authority, Dubai, 
      United Arab Emirates
AD  - College of Medicine, Mohammed Bin Rashid University, Dubai, United Arab Emirates
FAU - Alsuwaidi, Jamila Salam
AU  - Alsuwaidi JS
AD  - Department of Clinical Support Services and Nursing Sector, Dubai Health 
      Authority, Dubai, United Arab Emirates
FAU - AlKtebi, Reem Salim
AU  - AlKtebi RS
AD  - Department of Radiology, Rashid Hospital, Dubai Health Authority, Dubai, United 
      Arab Emirates
FAU - AlMulla, Muna Abdellatif Ali
AU  - AlMulla MAA
AD  - Department of Radiology, Rashid Hospital, Dubai Health Authority, Dubai, United 
      Arab Emirates
FAU - Gupta, Priyank
AU  - Gupta P
AD  - Department of Radiology, Rashid Hospital, Dubai Health Authority, Dubai, United 
      Arab Emirates
LA  - eng
PT  - Journal Article
PL  - United Arab Emirates
TA  - Curr Med Imaging
JT  - Current medical imaging
JID - 101762461
SB  - IM
MH  - Adult
MH  - Humans
MH  - Retrospective Studies
MH  - Radiation Dosage
MH  - *Abdomen/diagnostic imaging
MH  - *Pelvis/diagnostic imaging
MH  - Tomography, X-Ray Computed/methods
OTO - NOTNLM
OT  - Abdomen & pelvis +C
OT  - DRLs.
OT  - Effective dose (ED)
OT  - Gastric sleeve
OT  - Pancreas phases
OT  - SSDE
OT  - Triphasic liver
EDAT- 2023/05/23 06:42
MHDA- 2023/11/15 06:43
CRDT- 2023/05/23 03:39
PHST- 2022/09/28 00:00 [received]
PHST- 2023/03/20 00:00 [revised]
PHST- 2023/04/14 00:00 [accepted]
PHST- 2023/11/15 06:43 [medline]
PHST- 2023/05/23 06:42 [pubmed]
PHST- 2023/05/23 03:39 [entrez]
AID - CMIR-EPUB-131993 [pii]
AID - 10.2174/1573405620666230522151357 [doi]
PST - ppublish
SO  - Curr Med Imaging. 2024;20:e220523217204. doi: 10.2174/1573405620666230522151357.