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What effect does mammographic breast density have on lesion detection in digital mammography?
A L Mousa, D S; Ryan, E A; Mello-Thoms, C; Brennan, P C.
Afiliación
  • A L Mousa DS; Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia. Electronic address: dalm3874@uni.sydney.edu.au.
  • Ryan EA; Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia.
  • Mello-Thoms C; Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia.
  • Brennan PC; Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia.
Clin Radiol ; 69(4): 333-41, 2014 Apr.
Article en En | MEDLINE | ID: mdl-24424328
ABSTRACT
Effective detection of breast cancer using mammography is an important public health issue worldwide. Breasts that contain higher levels of fibroglandular compared with fatty tissue increase breast radio-opacity making it more difficult to differentiate between normal and abnormal findings. The higher prevalence of breast cancer amongst women with denser breasts demands the origination of effective solutions to manage this common radiographic appearance. This brief review considers the impact of higher levels of density on cancer detection and the importance of digital technology in possibly reducing the negative effects of increased density.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mama / Neoplasias de la Mama / Reconocimiento de Normas Patrones Automatizadas / Mamografía / Interpretación de Imagen Radiográfica Asistida por Computador / Tamizaje Masivo Tipo de estudio: Diagnostic_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans País/Región como asunto: Oceania Idioma: En Revista: Clin Radiol Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mama / Neoplasias de la Mama / Reconocimiento de Normas Patrones Automatizadas / Mamografía / Interpretación de Imagen Radiográfica Asistida por Computador / Tamizaje Masivo Tipo de estudio: Diagnostic_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans País/Región como asunto: Oceania Idioma: En Revista: Clin Radiol Año: 2014 Tipo del documento: Article