Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros










Base de dados
Assunto principal
Intervalo de ano de publicação
1.
Radiologia (Engl Ed) ; 64 Suppl 1: 28-36, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35428464

RESUMO

OBJECTIVE: This study aimed to determine the ability of axillary ultrasonography to predict the number of lymph nodes with metastases found in sentinel node axillary surgery or axillary lymph node resection in patients recently diagnosed with breast cancer after percutaneous biopsy. METHODS: This prospective study included patients diagnosed with invasive breast cancer by percutaneous biopsy. Axillary lymph nodes were classified at ultrasound examination as suspicious or not suspicious, and the number of suspicious nodes was compared with the number classified as suspicious in the surgical specimen. RESULTS: We included 142 patients, 4 of whom had bilateral cancer; 133 of the 146 tumors were clinically classified as T1-T2 N0. The median number of suspicious lymph nodes at ultrasound was 2 (1-6), and the median number of suspicious lymph nodes in the surgical biopsy specimen was 1 (1-16); the difference was not significant (p = 0.1). The correlation between the number of positive lymph nodes on axillary ultrasound and the number of metastatic lymph nodes in the surgical specimen was 72.7% p = 0.0002 and the concordance was 79% (95%CI 62.4%-95.6%) p = 0.0001. For diagnosing high axillary tumor load (≥3 metastatic lymph nodes) versus low axillary tumor load (<3 metastatic lymph nodes), axillary ultrasound had 86.6% sensitivity, 83.3% specificity, 92% PPV, and 71.4% NPV. CONCLUSION: Our results show that preoperative axillary ultrasound can differentiate between low and high tumor load and can be used as a tool to select the type of treatment. These results need to be confirmed in randomized multicenter studies.


Assuntos
Neoplasias da Mama , Axila/diagnóstico por imagem , Axila/patologia , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/patologia , Neoplasias da Mama/cirurgia , Feminino , Humanos , Metástase Linfática/diagnóstico por imagem , Metástase Linfática/patologia , Estudos Prospectivos , Biópsia de Linfonodo Sentinela/métodos , Carga Tumoral , Ultrassonografia/métodos
2.
Radiologia (Engl Ed) ; 2021 Aug 24.
Artigo em Inglês, Espanhol | MEDLINE | ID: mdl-34452750

RESUMO

OBJECTIVE: This study aimed to determine the ability of axillary ultrasonography to predict the number of lymph nodes with metastases found in sentinel node axillary surgery or axillary lymph node resection in patients recently diagnosed with breast cancer after percutaneous biopsy. METHODS: This prospective study included patients diagnosed with invasive breast cancer by percutaneous biopsy. Axillary lymph nodes were classified at ultrasound examination as suspicious or not suspicious, and the number of suspicious nodes was compared with the number classified as suspicious in the surgical specimen. RESULTS: We included 142 patients, 4 of whom had bilateral cancer; 133 of the 146 tumors were clinically classified as T1-T2 N0. The median number of suspicious lymph nodes at ultrasound was 2 (1-6), and the median number of suspicious lymph nodes in the surgical biopsy specimen was 1 (1-16); the difference was not significant (p=0.1). The correlation between the number of positive lymph nodes on axillary ultrasound and the number of metastatic lymph nodes in the surgical specimen was 72.7% p=0.0002 and the concordance was 79% (95%CI 62.4%-95.6%) p=0.0001. For diagnosing high axillary tumor load (≥3 metastatic lymph nodes) versus low axillary tumor load (<3 metastatic lymph nodes), axillary ultrasound had 86.6% sensitivity, 83.3% specificity, 92% PPV, and 71.4% NPV. CONCLUSION: Our results show that preoperative axillary ultrasound can differentiate between low and high tumor load and can be used as a tool to select the type of treatment. These results need to be confirmed in randomized multicenter studies.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...