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[Organ and Effective Doses Using Automation Organ Dose Estimation Software for Lung Cancer Screening Using Low-dose Computed Tomography].
Fukunaga, Masaaki; Matsubara, Kosuke; Yamaguchi, Yuki.
Afiliación
  • Fukunaga M; Department of Radiological Technology, Kurashiki Central Hospital.
  • Matsubara K; Department of Quantum Medical Technology, Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University.
  • Yamaguchi Y; Department of Radiological Technology, Kurashiki Central Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi ; 78(10): 1176-1186, 2022 Oct 20.
Article en Ja | MEDLINE | ID: mdl-36058849
PURPOSE: The purpose of this study was to evaluate the differences in the organ doses and the effective doses using three types of automated organ dose estimation software for low-dose computed tomography (CT) screening for lung cancer and to evaluate the correlations between each dose and size-specific dose estimates (SSDEs). METHODS: Seventy-two adults who underwent low-dose CT screening for lung cancer were included, and the organ doses and the effective doses were calculated using each of automated organ dose estimation software. We evaluated differences between software for the organ doses and the effective doses and the correlations between each dose and SSDEs. RESULTS: Differences in organ doses and effective doses were observed among the software. The organ doses showed a strong correlation (r=0.833-0.995) with SSDEs for organs within the scan range. The effective doses showed a strong correlation (r=0.830-0.970) with SSDEs, although there were significant differences among the software. CONCLUSION: Although the organ doses and the effective doses differed between software, it may be possible to estimate them from SSDEs by using linear regression equations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Detección Precoz del Cáncer / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Screening_studies Límite: Adult / Humans Idioma: Ja Revista: Nihon Hoshasen Gijutsu Gakkai Zasshi Año: 2022 Tipo del documento: Article Pais de publicación: Japón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Detección Precoz del Cáncer / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Screening_studies Límite: Adult / Humans Idioma: Ja Revista: Nihon Hoshasen Gijutsu Gakkai Zasshi Año: 2022 Tipo del documento: Article Pais de publicación: Japón