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

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...

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Detalles Bibliográficos
Autores: Coronado Gutiérrez, David, Santamaría, Gorane, Ganau, Sergi, Bargalló, Xavier, Orlando, Stefania, Oliva Brañas, M. Eulalia, Pérez Moreno, Álvaro, Burgos Artizzu, Xavier P.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/216332
Acceso en línea:https://hdl.handle.net/2445/216332
Access Level:acceso abierto
Palabra clave:Ecografia
Metàstasi
Diagnòstic per la imatge
Càncer de mama
Nodes limfàtics
Aprenentatge automàtic
Ultrasonic imaging
Metastasis
Diagnostic imaging
Breast cancer
Lymph nodes
Machine learning
Descripción
Sumario: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.