A novel method for comparing radiation dose and image quality, between and within different x-ray units in a series of hospitals.
J Radiol Prot
; 38(4): 1344-1358, 2018 Dec.
Article
em En
| MEDLINE
| ID: mdl-30251707
ABSTRACT
OBJECTIVES:
To develop a novel method for comparing radiation dose and image quality (IQ) to evaluate adult chest x-ray (CXR) imaging among several hospitals.METHODS:
CDRAD 2.0 phantom was used to acquire images in eight hospitals (17 digital x-ray units) using local adult CXR protocols. IQ was represented by image quality figure inverse (IQFinv), measured using CDRAD analyser software. Signal to noise ratio, contrast to noise ratio and conspicuity index were calculated as additional measures of IQ. Incident air kerma (IAK) was measured using a solid-state dosimeter for each acquisition. Figure of merit (FOM) was calculated to provide a single estimation of IQ and radiation dose.RESULTS:
IQ, radiation dose and FOM varied considerably between hospitals and x-ray units. For IQFinv, the mean (range) between and within the hospitals were 1.42 (0.83-2.18) and 1.87 (1.52-2.18), respectively. For IAK, the mean (range) between and within the hospitals were 93.56 (17.26-239.15) µGy and 180.85 (122.58-239.15) µGy, respectively. For FOM, the mean (range) between and within hospitals were 0.05 (0.01-0.14) and 0.03 (0.02-0.05), respectively.CONCLUSIONS:
The suggested method for comparing IQ and dose using FOM concept along with the new proposed FOM, is a valid, reliable and effective approach for monitoring and comparing IQ and dose between and within hospitals. It is also can be beneficial for the optimisation of x-ray units in clinical practice. Further optimisation for the hospitals/x-ray units with low FOM are required to minimise radiation dose without degrading IQ.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doses de Radiação
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Serviço Hospitalar de Radiologia
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Radiografia Torácica
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Unidades Hospitalares
Tipo de estudo:
Clinical_trials
/
Guideline
Limite:
Adult
/
Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article