Quantitative Ultrasound Image Analysis of Axillary Lymph Nodes to Diagnose Metastatic Involvement in Breast Cancer

dc.contributor.authorCoronado Gutiérrez, David
dc.contributor.authorSantamaría, Gorane
dc.contributor.authorGanau, Sergi
dc.contributor.authorBargalló, Xavier
dc.contributor.authorOrlando, Stefania
dc.contributor.authorOliva Brañas, M. Eulalia
dc.contributor.authorPérez Moreno, Álvaro
dc.contributor.authorBurgos Artizzu, Xavier P.
dc.date.accessioned2024-11-08T17:22:08Z
dc.date.available2024-11-08T17:22:08Z
dc.date.issued2019-11
dc.date.updated2024-11-08T17:22:08Z
dc.description.abstractThis study aimed to assess the potential of state-of-the-art ultrasound analysis techniques to non-invasively diagnose axillary lymph nodes involvement in breast cancer. After exclusion criteria, 105 patients were selected from two different hospitals. The 118 lymph node ultrasound images taken from these patients were divided into 53 cases and 65 controls, which made up the study series. The clinical outcome of each node was verified by ultrasound-guided fine needle aspiration, core needle biopsy or surgical biopsy. The achieved accuracy of the proposed method was 86.4%, with 84.9% sensitivity and 87.7% specificity. When tested on breast cancer patients only, the proposed method improved the accuracy of the sonographic assessment of axillary lymph nodes performed by expert radiologists by 9% (87.0% vs 77.9%). In conclusion, the results demonstrate the potential of ultrasound image analysis to detect the microstructural and compositional changes that occur in lymph nodes because of metastatic involvement.
dc.format.extent14 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec703590
dc.identifier.issn0301-5629
dc.identifier.pmid31444031
dc.identifier.urihttps://hdl.handle.net/2445/216332
dc.language.isoeng
dc.publisherElsevier
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.ultrasmedbio.2019.07.413
dc.relation.ispartofUltrasound in Medicine and Biology, 2019, vol. 45, num.11, p. 2932-2945
dc.relation.urihttps://doi.org/10.1016/j.ultrasmedbio.2019.07.413
dc.rightscc-by (c) Coronado Gutiérrez, David et al., 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Fonaments Clínics)
dc.subject.classificationEcografia
dc.subject.classificationMetàstasi
dc.subject.classificationDiagnòstic per la imatge
dc.subject.classificationCàncer de mama
dc.subject.classificationNodes limfàtics
dc.subject.classificationAprenentatge automàtic
dc.subject.otherUltrasonic imaging
dc.subject.otherMetastasis
dc.subject.otherDiagnostic imaging
dc.subject.otherBreast cancer
dc.subject.otherLymph nodes
dc.subject.otherMachine learning
dc.titleQuantitative Ultrasound Image Analysis of Axillary Lymph Nodes to Diagnose Metastatic Involvement in Breast Cancer
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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