A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma

A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma

Abstract To develop a risk model for predicting axillary lymph node metastasis (LNM) in patients with breast invasive ductal carcinoma (IDCs) using ultrasound (US), US elastography of virtual touch tissue imaging (VTI) and virtual touch tissue imaging & quantification (VTIQ), and histologic para...

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Autores principales: Xiao-Long Li, Hui-Xiong Xu, Dan-Dan Li, Ya-Ping He, Wen-Wen Yue, Jun-Mei Xu, Bo-Ji Liu, Li-Ping Sun, Lin Fang
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/50ea297b5cf04ce5b57aa40d9c5cb4a8
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spelling oai:doaj.org-article:50ea297b5cf04ce5b57aa40d9c5cb4a82021-12-02T11:40:31ZA Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma10.1038/s41598-017-03582-32045-2322https://doaj.org/article/50ea297b5cf04ce5b57aa40d9c5cb4a82017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03582-3https://doaj.org/toc/2045-2322Abstract To develop a risk model for predicting axillary lymph node metastasis (LNM) in patients with breast invasive ductal carcinoma (IDCs) using ultrasound (US), US elastography of virtual touch tissue imaging (VTI) and virtual touch tissue imaging & quantification (VTIQ), and histologic parameters. This study included 162 breast IDCs in 162 patients. Univariate and multivariate analyses were used to identify the risk factors and a risk model was created. The results found that 64 (39.5%) of 162 patients had axillary LNMs. The risk score (RS) for axillary LNM was defined as following: RS = 1.3 × (if lesion size ≥20 mm) + 2.6 × (if taller than wide shape) + 2.2 × (if VTI score ≥5) + 3.9 × (if histological grade III) + 1.9 × (if positive C-erbB-2). The rating system was divided into 6 stages (i.e. Stage I, Stage II, Stage III, Stage IV, Stage V, and Stage VI) and the associated risk rates in terms of axillary LNM were 0% (0/19), 6.1% (2/33), 7.7% (3/39), 65.5% (19/29), 92.3% (24/26), and 100% (16/16), respectively. The risk model for axillary LNM established in the study may facilitate subsequent treatment planning and management in patients with breast IDCs.Xiao-Long LiHui-Xiong XuDan-Dan LiYa-Ping HeWen-Wen YueJun-Mei XuBo-Ji LiuLi-Ping SunLin FangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Xiao-Long Li
Hui-Xiong Xu
Dan-Dan Li
Ya-Ping He
Wen-Wen Yue
Jun-Mei Xu
Bo-Ji Liu
Li-Ping Sun
Lin Fang
A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma
description Abstract To develop a risk model for predicting axillary lymph node metastasis (LNM) in patients with breast invasive ductal carcinoma (IDCs) using ultrasound (US), US elastography of virtual touch tissue imaging (VTI) and virtual touch tissue imaging & quantification (VTIQ), and histologic parameters. This study included 162 breast IDCs in 162 patients. Univariate and multivariate analyses were used to identify the risk factors and a risk model was created. The results found that 64 (39.5%) of 162 patients had axillary LNMs. The risk score (RS) for axillary LNM was defined as following: RS = 1.3 × (if lesion size ≥20 mm) + 2.6 × (if taller than wide shape) + 2.2 × (if VTI score ≥5) + 3.9 × (if histological grade III) + 1.9 × (if positive C-erbB-2). The rating system was divided into 6 stages (i.e. Stage I, Stage II, Stage III, Stage IV, Stage V, and Stage VI) and the associated risk rates in terms of axillary LNM were 0% (0/19), 6.1% (2/33), 7.7% (3/39), 65.5% (19/29), 92.3% (24/26), and 100% (16/16), respectively. The risk model for axillary LNM established in the study may facilitate subsequent treatment planning and management in patients with breast IDCs.
format article
author Xiao-Long Li
Hui-Xiong Xu
Dan-Dan Li
Ya-Ping He
Wen-Wen Yue
Jun-Mei Xu
Bo-Ji Liu
Li-Ping Sun
Lin Fang
author_facet Xiao-Long Li
Hui-Xiong Xu
Dan-Dan Li
Ya-Ping He
Wen-Wen Yue
Jun-Mei Xu
Bo-Ji Liu
Li-Ping Sun
Lin Fang
author_sort Xiao-Long Li
title A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma
title_short A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma
title_full A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma
title_fullStr A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma
title_full_unstemmed A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma
title_sort risk model based on ultrasound, ultrasound elastography, and histologic parameters for predicting axillary lymph node metastasis in breast invasive ductal carcinoma
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/50ea297b5cf04ce5b57aa40d9c5cb4a8
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