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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...

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Autores principales: Kim, Won Hwa, Kim, Hye Jung, Lee, So Mi, Cho, Seung Hyun, Shin, Kyung Min, Lee, Sang Yub, Lim, Jae Kwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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