dc.contributor.author
Coronado Gutiérrez, David
dc.contributor.author
Santamaría, Gorane
dc.contributor.author
Ganau, Sergi
dc.contributor.author
Bargalló, Xavier
dc.contributor.author
Orlando, Stefania
dc.contributor.author
Oliva Brañas, M. Eulalia
dc.contributor.author
Pérez Moreno, Álvaro
dc.contributor.author
Burgos Artizzu, Xavier P.
dc.date.issued
2024-11-08T17:22:08Z
dc.date.issued
2024-11-08T17:22:08Z
dc.date.issued
2024-11-08T17:22:08Z
dc.identifier
https://hdl.handle.net/2445/216332
dc.description.abstract
This 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
application/pdf
dc.relation
Reproducció del document publicat a: https://doi.org/10.1016/j.ultrasmedbio.2019.07.413
dc.relation
Ultrasound in Medicine and Biology, 2019, vol. 45, num.11, p. 2932-2945
dc.relation
https://doi.org/10.1016/j.ultrasmedbio.2019.07.413
dc.rights
cc-by (c) Coronado Gutiérrez, David et al., 2019
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Fonaments Clínics)
dc.subject
Diagnòstic per la imatge
dc.subject
Càncer de mama
dc.subject
Nodes limfàtics
dc.subject
Aprenentatge automàtic
dc.subject
Ultrasonic imaging
dc.subject
Diagnostic imaging
dc.subject
Machine learning
dc.title
Quantitative Ultrasound Image Analysis of Axillary Lymph Nodes to Diagnose Metastatic Involvement in Breast Cancer
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion