{"id":25586,"date":"2023-06-02T09:30:33","date_gmt":"2023-06-02T08:30:33","guid":{"rendered":"https:\/\/www.dexeuscampus.com\/?p=25586"},"modified":"2023-06-02T12:15:23","modified_gmt":"2023-06-02T11:15:23","slug":"dexeus-dona-incorpora-ia-diagnostic-cancer-mama","status":"publish","type":"post","link":"https:\/\/www.dexeuscampus.com\/ca\/blog\/cancer-mama\/dexeus-dona-incorpora-ia-diagnostic-cancer-mama\/","title":{"rendered":"Dexeus Dona incorpora la IA en el diagn\u00f2stic del c\u00e0ncer de mama"},"content":{"rendered":"\t\t
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El diagn\u00f2stic de c\u00e0ncer de mama es basa en l’estudi d’imatges obtingudes a trav\u00e9s de mamografies. Per\u00f2 en el cas de mames denses o fibroses resulta m\u00e9s dif\u00edcil, i sovint \u00e9s necessari realitzar altres proves complement\u00e0ries. De fet, segons les estad\u00edstiques de Dexeus Dona, de cada 100 dones que es realitzen una mamografia, un 70% requereix una ecografia per completar l’estudi. D’aquestes, en 2-3 es far\u00e0 bi\u00f2psia, i, d’elles, nom\u00e9s en 1 cas es confirmar\u00e0 el c\u00e0ncer. No totes les imatges tenen el mateix nivell de sospita. Aix\u00f2 significa la pr\u00e0ctica de bi\u00f2psies que causen molt estr\u00e8s i preocupaci\u00f3 a les pacients.<\/p>\n

Per aquest motiu, un equip del Servei de Diagn\u00f2stic Ginecol\u00f2gic per la Imatge (DGI) de Dexeus Dona<\/strong> ha realitzat un estudi retrospectiu per avaluar l’efic\u00e0cia d’un nou sistema basat en la Intel\u00b7lig\u00e8ncia Artificial amb la finalitat d’afinar el diagn\u00f2stic del c\u00e0ncer de mama. Aquesta tecnologia, desenvolupada per l’empresa Koios Medical, t\u00e9 l’autoritzaci\u00f3 de la FDA i de l’Ag\u00e8ncia Europea del Medicament (EMA).<\/p>\n

Per validar l’efic\u00e0cia del sistema, es van seleccionar un total de 403 bi\u00f2psies eco-guiades realitzades l’any 2019 a dones de diferents edats. Aquestes imatges van ser obtingudes en les revisions ginecol\u00f2giques de control que realitza el Servei de DGI de Dexeus Dona. D’acord amb l’informe patol\u00f2gic, 197 es van classificar com a lesions malignes i 206 com a benignes. Els autors van triar la imatge que millor representava la classificaci\u00f3 obtinguda en l’escala BI-RADS i la van avaluar amb el sistema de IA Koios. Els resultats d’aquest estudi demostren que l’\u00fas de la IA pot ajudar a afinar el diagn\u00f2stic, ja que va augmentar la proporci\u00f3 de casos sospitosos de malignitat que finalment van ser confirmats per la bi\u00f2psia en les categories de m\u00e9s risc: BI-RADS 4, 5 i 6.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Article de refer\u00e8ncia:<\/strong>
AI: Can It Make a Difference to the Predictive Value of Ultrasound Breast Biopsy?<\/a>
Jean L. Browne, M.A. Pascual, J Perez, S. Salazar, B Valero, I. Rodriguez, D Cassina, JL Alc\u00e1zar, S. Guerriero, B. Graupera.<\/span>
Diagnostics 2023, 13(4), 811. doi: 10.3390\/diagnostics13040811.<\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

El diagn\u00f2stic de c\u00e0ncer de mama es basa en l’estudi d’imatges obtingudes a trav\u00e9s de mamografies. Per\u00f2 en el cas de mames denses o fibroses resulta m\u00e9s dif\u00edcil, i sovint \u00e9s necessari realitzar altres proves complement\u00e0ries. De fet, segons les estad\u00edstiques…<\/p>\n","protected":false},"author":3,"featured_media":25548,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[198],"tags":[],"class_list":["post-25586","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cancer-mama"],"yoast_head":"\nDexeus Dona incorpora la IA en el diagn\u00f2stic del c\u00e0ncer de mama - Dexeus Campus<\/title>\n<meta name=\"description\" content=\"El diagn\u00f2stic de c\u00e0ncer de mama es basa en l'estudi d'imatges obtingudes a trav\u00e9s de mamografies. 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