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Radiomics in Breast Imaging: Future Development.
Panico, Alessandra; Gatta, Gianluca; Salvia, Antonio; Grezia, Graziella Di; Fico, Noemi; Cuccurullo, Vincenzo.
Afiliação
  • Panico A; Radiology Division, Department of Precision Medicine, Università della Campania "Luigi Vanvitelli", 80138 Naples, Italy.
  • Gatta G; Radiology Division, Department of Precision Medicine, Università della Campania "Luigi Vanvitelli", 80138 Naples, Italy.
  • Salvia A; Radiology Division, Department of Precision Medicine, Università della Campania "Luigi Vanvitelli", 80138 Naples, Italy.
  • Grezia GD; Radiology Division, ASL Avellino, 83100 Avellino, Italy.
  • Fico N; Department of Physics "Ettore Pancini", Università di Napoli Federico II, 80126 Naples, Italy.
  • Cuccurullo V; Nuclear Medicine Unit, Department of Precision Medicine, Università della Campania "Luigi Vanvitelli", 80138 Naples, Italy.
J Pers Med ; 13(5)2023 May 20.
Article em En | MEDLINE | ID: mdl-37241032
ABSTRACT
Breast cancer is the most common and most commonly diagnosed non-skin cancer in women. There are several risk factors related to habits and heredity, and screening is essential to reduce the incidence of mortality. Thanks to screening and increased awareness among women, most breast cancers are diagnosed at an early stage, increasing the chances of cure and survival. Regular screening is essential. Mammography is currently the gold standard for breast cancer diagnosis. In mammography, we can encounter problems with the sensitivity of the instrument; in fact, in the case of a high density of glands, the ability to detect small masses is reduced. In fact, in some cases, the lesion may not be particularly evident, it may be hidden, and it is possible to incur false negatives as partial details that may escape the radiologist's eye. The problem is, therefore, substantial, and it makes sense to look for techniques that can increase the quality of diagnosis. In recent years, innovative techniques based on artificial intelligence have been used in this regard, which are able to see where the human eye cannot reach. In this paper, we can see the application of radiomics in mammography.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article