Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/216332
Title: Quantitative Ultrasound Image Analysis of Axillary Lymph Nodes to Diagnose Metastatic Involvement in Breast Cancer
Author: Coronado Gutiérrez, David
Santamaría, Gorane
Ganau, Sergi
Bargalló, Xavier
Orlando, Stefania
Oliva Brañas, M. Eulalia
Pérez Moreno, Álvaro
Burgos Artizzu, Xavier P.
Keywords: Ecografia
Metàstasi
Diagnòstic per la imatge
Càncer de mama
Nodes limfàtics
Aprenentatge automàtic
Ultrasonic imaging
Metastasis
Diagnostic imaging
Breast cancer
Lymph nodes
Machine learning
Issue Date: Nov-2019
Publisher: Elsevier
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.
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.ultrasmedbio.2019.07.413
It is part of: Ultrasound in Medicine and Biology, 2019, vol. 45, num.11, p. 2932-2945
URI: https://hdl.handle.net/2445/216332
Related resource: https://doi.org/10.1016/j.ultrasmedbio.2019.07.413
ISSN: 0301-5629
Appears in Collections:Articles publicats en revistes (Fonaments Clínics)

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