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Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients
BACKGROUND: Although the role of axillary imaging has been redirected for predicting high nodal burden rather than predicting nodal metastases since ACOSOG Z1011 trial, it remains unclear whether and how axillary lymph node (ALN) characteristics predicts high nodal burden. Our study was aimed to eva...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359788/ https://www.ncbi.nlm.nih.gov/pubmed/30709369 http://dx.doi.org/10.1186/s40644-019-0191-y |
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author | Kim, Won Hwa Kim, Hye Jung Lee, So Mi Cho, Seung Hyun Shin, Kyung Min Lee, Sang Yub Lim, Jae Kwang |
author_facet | Kim, Won Hwa Kim, Hye Jung Lee, So Mi Cho, Seung Hyun Shin, Kyung Min Lee, Sang Yub Lim, Jae Kwang |
author_sort | Kim, Won Hwa |
collection | PubMed |
description | BACKGROUND: Although the role of axillary imaging has been redirected for predicting high nodal burden rather than predicting nodal metastases since ACOSOG Z1011 trial, it remains unclear whether and how axillary lymph node (ALN) characteristics predicts high nodal burden. Our study was aimed to evaluate the predictive value of imaging characteristics of ALNs at ultrasound and magnetic resonance imaging (MRI) for prediction of high nodal burden (≥3 metastatic ALNs) in clinically node-negative breast cancer patients. METHODS: Clinicopathological and imaging characteristics were evaluated in patients with ultrasound (n = 312) and MRI (n = 256). Imaging characteristics include number of suspicious ALNs and cortical morphologic changes (grade 1, cortical thickness < 2 mm; grade 2, 2–5 mm; grade 3, ≥5 mm or fatty hilum loss). Odds ratios (ORs) were calculated using multivariate analysis. RESULTS: For ultrasound, higher (≥2) T stage (OR = 5.65, P = .005), higher number of suspicious ALNs (2 suspicious ALNs, OR = 6.52, P = .019; ≥ 3 suspicious ALNs, OR = 21.08, P = .005), and grade 3 of cortical morphologic changes (OR = 9.85, P = .023) independently associated with high nodal burden. For MRI, higher (≥2) T stage (OR = 5.17, P = .011) and higher number of suspicious ALNs (2 suspicious ALNs, OR = 69.00, P = .001; ≥ 3 suspicious ALNs, OR = 93.55, P < .001) were independently associated with high nodal burden. Among patients with 2 suspicious ALNs, those with grade 3 cortical morphologic change at ultrasound had a higher rate of high nodal burden than those with grade 2 (60.0% [3/5] vs. 25.0% [2/8]). CONCLUSIONS: A higher number of suspicious ALNs is an independent predictor for high nodal burden. Further stratification can be achieved by incorporating assessment of ultrasound-based cortical morphologic changes. |
format | Online Article Text |
id | pubmed-6359788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63597882019-02-07 Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients Kim, Won Hwa Kim, Hye Jung Lee, So Mi Cho, Seung Hyun Shin, Kyung Min Lee, Sang Yub Lim, Jae Kwang Cancer Imaging Research Article BACKGROUND: Although the role of axillary imaging has been redirected for predicting high nodal burden rather than predicting nodal metastases since ACOSOG Z1011 trial, it remains unclear whether and how axillary lymph node (ALN) characteristics predicts high nodal burden. Our study was aimed to evaluate the predictive value of imaging characteristics of ALNs at ultrasound and magnetic resonance imaging (MRI) for prediction of high nodal burden (≥3 metastatic ALNs) in clinically node-negative breast cancer patients. METHODS: Clinicopathological and imaging characteristics were evaluated in patients with ultrasound (n = 312) and MRI (n = 256). Imaging characteristics include number of suspicious ALNs and cortical morphologic changes (grade 1, cortical thickness < 2 mm; grade 2, 2–5 mm; grade 3, ≥5 mm or fatty hilum loss). Odds ratios (ORs) were calculated using multivariate analysis. RESULTS: For ultrasound, higher (≥2) T stage (OR = 5.65, P = .005), higher number of suspicious ALNs (2 suspicious ALNs, OR = 6.52, P = .019; ≥ 3 suspicious ALNs, OR = 21.08, P = .005), and grade 3 of cortical morphologic changes (OR = 9.85, P = .023) independently associated with high nodal burden. For MRI, higher (≥2) T stage (OR = 5.17, P = .011) and higher number of suspicious ALNs (2 suspicious ALNs, OR = 69.00, P = .001; ≥ 3 suspicious ALNs, OR = 93.55, P < .001) were independently associated with high nodal burden. Among patients with 2 suspicious ALNs, those with grade 3 cortical morphologic change at ultrasound had a higher rate of high nodal burden than those with grade 2 (60.0% [3/5] vs. 25.0% [2/8]). CONCLUSIONS: A higher number of suspicious ALNs is an independent predictor for high nodal burden. Further stratification can be achieved by incorporating assessment of ultrasound-based cortical morphologic changes. BioMed Central 2019-02-01 /pmc/articles/PMC6359788/ /pubmed/30709369 http://dx.doi.org/10.1186/s40644-019-0191-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kim, Won Hwa Kim, Hye Jung Lee, So Mi Cho, Seung Hyun Shin, Kyung Min Lee, Sang Yub Lim, Jae Kwang Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients |
title | Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients |
title_full | Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients |
title_fullStr | Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients |
title_full_unstemmed | Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients |
title_short | Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients |
title_sort | prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359788/ https://www.ncbi.nlm.nih.gov/pubmed/30709369 http://dx.doi.org/10.1186/s40644-019-0191-y |
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