PMID- 38035439
OWN - NLM
STAT- MEDLINE
DCOM- 20240115
LR  - 20240115
IS  - 1532-2831 (Electronic)
IS  - 1078-8174 (Linking)
VI  - 30
IP  - 1
DP  - 2024 Jan
TI  - Evaluation of a new predictive equation for automated calculation of 
      size-specific dose estimate (SSDE) in CT imaging.
PG  - 237-244
LID - S1078-8174(23)00228-6 [pii]
LID - 10.1016/j.radi.2023.11.012 [doi]
AB  - INTRODUCTION: The adoption of size-specific dose estimate (SSDE) in clinical 
      practice is still limited owing to the tedious and complex manual measurement of 
      individual patient size for the clinical calculation of SSDE. Thus, the 
      automation of SSDE is imperative. This study aims to evaluate a predictive 
      equation for the automated calculation of SSDE. METHODS: A user-friendly software 
      was developed to accurately predict the individual size-specific dose estimation 
      of paediatric patients undergoing computed tomography (CT) scans of the head, 
      thorax, and abdomen. The software includes a calculation equation developed based 
      on a novel SSDE prediction equation that used a population's pre-determined 
      percentage difference between volume-weighted computed tomography dose index 
      (CTDI(vol)) and SSDE with age. American Association of Physicists in Medicine 
      (AAPM RPT 204) method (manual) and segmentation-based SSDE calculators (indoseCT 
      and XXautocalc) were used to assess the proposed software predictions 
      comparatively. RESULTS: The results of this study show that the automated 
      equation-based calculation of SSDE and the manual and segmentation-based 
      calculation of SSDE are in good agreement for patients. The differences between 
      the automated equation-based calculation of SSDE and the manual and 
      segmentation-based calculation are less than 3%. CONCLUSION: This study validated 
      an accurate SSDE calculator that allows users to enter key input values and 
      calculate SSDE. IMPLICATION FOR PRACTICE: The automated equation-based SSDE 
      software (PESSD) seems a promising tool for estimating individualised CT doses 
      during CT scans.
CI  - Copyright (c) 2023 The College of Radiographers. Published by Elsevier Ltd. All 
      rights reserved.
FAU - Osman, N D
AU  - Osman ND
AD  - Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, 
      13200, Penang, Malaysia.
FAU - Abdulkadir, M K
AU  - Abdulkadir MK
AD  - Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, 
      13200, Penang, Malaysia; Department of Radiography, Faculty of Basic Clinical 
      Sciences, University of Ilorin, 240213 Ilorin, Nigeria. Electronic address: 
      Kabirkad@yahoo.com.
FAU - Shuaib, I L
AU  - Shuaib IL
AD  - Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, 
      13200, Penang, Malaysia.
FAU - Nasirudin, R A
AU  - Nasirudin RA
AD  - Department of Radiography, Faculty of Basic Clinical Sciences, University of 
      Ilorin, 240213 Ilorin, Nigeria.
LA  - eng
PT  - Journal Article
DEP - 20231129
PL  - Netherlands
TA  - Radiography (Lond)
JT  - Radiography (London, England : 1995)
JID - 9604102
SB  - IM
MH  - Humans
MH  - Child
MH  - Radiation Dosage
MH  - *Tomography, X-Ray Computed/methods
MH  - *Abdomen
MH  - Software
MH  - Thorax
OTO - NOTNLM
OT  - Computed tomography
OT  - Dose optimisation
OT  - Effective diameter
OT  - Size-specific dose
OT  - Software
COIS- Conflict of interest statement None.
EDAT- 2023/12/01 00:43
MHDA- 2024/01/15 12:42
CRDT- 2023/11/30 18:01
PHST- 2023/06/30 00:00 [received]
PHST- 2023/11/04 00:00 [revised]
PHST- 2023/11/13 00:00 [accepted]
PHST- 2024/01/15 12:42 [medline]
PHST- 2023/12/01 00:43 [pubmed]
PHST- 2023/11/30 18:01 [entrez]
AID - S1078-8174(23)00228-6 [pii]
AID - 10.1016/j.radi.2023.11.012 [doi]
PST - ppublish
SO  - Radiography (Lond). 2024 Jan;30(1):237-244. doi: 10.1016/j.radi.2023.11.012. Epub 
      2023 Nov 29.