Evaluation of a new predictive equation for automated calculation of size-specific dose estimate (SSDE) in CT imaging.

Autor: Osman ND; Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, 13200, Penang, Malaysia., Abdulkadir MK; 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., Shuaib IL; Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, 13200, Penang, Malaysia., Nasirudin RA; Department of Radiography, Faculty of Basic Clinical Sciences, University of Ilorin, 240213 Ilorin, Nigeria.
Jazyk: angličtina
Zdroj: Radiography (London, England : 1995) [Radiography (Lond)] 2024 Jan; Vol. 30 (1), pp. 237-244. Date of Electronic Publication: 2023 Nov 29.
DOI: 10.1016/j.radi.2023.11.012
Abstrakt: 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.
Competing Interests: Conflict of interest statement None.
(Copyright © 2023 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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