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Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients

The aim of this study was to determine the range of apparent diffusion coefficient (ADC) values for benign axillary lymph nodes in contrast to malignant axillary lymph nodes, and to define the optimal ADC thresholds for three different ADC parameters (minimum, maximum, and mean ADC) in differentiati...

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Autores principales: Fardanesh, Reza, Thakur, Sunitha B., Sevilimedu, Varadan, Horvat, Joao V., Gullo, Roberto Lo, Reiner, Jeffrey S., Eskreis-Winkler, Sarah, Thakur, Nikita, Pinker, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905522/
https://www.ncbi.nlm.nih.gov/pubmed/35280791
http://dx.doi.org/10.3389/fonc.2022.795265
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author Fardanesh, Reza
Thakur, Sunitha B.
Sevilimedu, Varadan
Horvat, Joao V.
Gullo, Roberto Lo
Reiner, Jeffrey S.
Eskreis-Winkler, Sarah
Thakur, Nikita
Pinker, Katja
author_facet Fardanesh, Reza
Thakur, Sunitha B.
Sevilimedu, Varadan
Horvat, Joao V.
Gullo, Roberto Lo
Reiner, Jeffrey S.
Eskreis-Winkler, Sarah
Thakur, Nikita
Pinker, Katja
author_sort Fardanesh, Reza
collection PubMed
description The aim of this study was to determine the range of apparent diffusion coefficient (ADC) values for benign axillary lymph nodes in contrast to malignant axillary lymph nodes, and to define the optimal ADC thresholds for three different ADC parameters (minimum, maximum, and mean ADC) in differentiating between benign and malignant lymph nodes. This retrospective study included consecutive patients who underwent breast MRI from January 2017–December 2020. Two-year follow-up breast imaging or histopathology served as the reference standard for axillary lymph node status. Area under the receiver operating characteristic curve (AUC) values for minimum, maximum, and mean ADC (min ADC, max ADC, and mean ADC) for benign vs malignant axillary lymph nodes were determined using the Wilcoxon rank sum test, and optimal ADC thresholds were determined using Youden’s Index. The final study sample consisted of 217 patients (100% female, median age of 52 years (range, 22–81), 110 with benign axillary lymph nodes and 107 with malignant axillary lymph nodes. For benign axillary lymph nodes, ADC values (×10(−3) mm(2)/s) ranged from 0.522–2.712 for mean ADC, 0.774–3.382 for max ADC, and 0.071–2.409 for min ADC; for malignant axillary lymph nodes, ADC values (×10(−3) mm(2)/s) ranged from 0.796–1.080 for mean ADC, 1.168–1.592 for max ADC, and 0.351–0.688 for min ADC for malignant axillary lymph nodes. While there was a statistically difference in all ADC parameters (p<0.001) between benign and malignant axillary lymph nodes, boxplots illustrate overlaps in ADC values, with the least overlap occurring with mean ADC, suggesting that this is the most useful ADC parameter for differentiating between benign and malignant axillary lymph nodes. The mean ADC threshold that resulted in the highest diagnostic accuracy for differentiating between benign and malignant lymph nodes was 1.004×10(−3) mm(2)/s, yielding an accuracy of 75%, sensitivity of 71%, specificity of 79%, positive predictive value of 77%, and negative predictive value of 74%. This mean ADC threshold is lower than the European Society of Breast Imaging (EUSOBI) mean ADC threshold of 1.300×10(−3) mm(2)/s, therefore suggesting that the EUSOBI threshold which was recently recommended for breast tumors should not be extrapolated to evaluate the axillary lymph nodes.
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spelling pubmed-89055222022-03-10 Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients Fardanesh, Reza Thakur, Sunitha B. Sevilimedu, Varadan Horvat, Joao V. Gullo, Roberto Lo Reiner, Jeffrey S. Eskreis-Winkler, Sarah Thakur, Nikita Pinker, Katja Front Oncol Oncology The aim of this study was to determine the range of apparent diffusion coefficient (ADC) values for benign axillary lymph nodes in contrast to malignant axillary lymph nodes, and to define the optimal ADC thresholds for three different ADC parameters (minimum, maximum, and mean ADC) in differentiating between benign and malignant lymph nodes. This retrospective study included consecutive patients who underwent breast MRI from January 2017–December 2020. Two-year follow-up breast imaging or histopathology served as the reference standard for axillary lymph node status. Area under the receiver operating characteristic curve (AUC) values for minimum, maximum, and mean ADC (min ADC, max ADC, and mean ADC) for benign vs malignant axillary lymph nodes were determined using the Wilcoxon rank sum test, and optimal ADC thresholds were determined using Youden’s Index. The final study sample consisted of 217 patients (100% female, median age of 52 years (range, 22–81), 110 with benign axillary lymph nodes and 107 with malignant axillary lymph nodes. For benign axillary lymph nodes, ADC values (×10(−3) mm(2)/s) ranged from 0.522–2.712 for mean ADC, 0.774–3.382 for max ADC, and 0.071–2.409 for min ADC; for malignant axillary lymph nodes, ADC values (×10(−3) mm(2)/s) ranged from 0.796–1.080 for mean ADC, 1.168–1.592 for max ADC, and 0.351–0.688 for min ADC for malignant axillary lymph nodes. While there was a statistically difference in all ADC parameters (p<0.001) between benign and malignant axillary lymph nodes, boxplots illustrate overlaps in ADC values, with the least overlap occurring with mean ADC, suggesting that this is the most useful ADC parameter for differentiating between benign and malignant axillary lymph nodes. The mean ADC threshold that resulted in the highest diagnostic accuracy for differentiating between benign and malignant lymph nodes was 1.004×10(−3) mm(2)/s, yielding an accuracy of 75%, sensitivity of 71%, specificity of 79%, positive predictive value of 77%, and negative predictive value of 74%. This mean ADC threshold is lower than the European Society of Breast Imaging (EUSOBI) mean ADC threshold of 1.300×10(−3) mm(2)/s, therefore suggesting that the EUSOBI threshold which was recently recommended for breast tumors should not be extrapolated to evaluate the axillary lymph nodes. Frontiers Media S.A. 2022-02-23 /pmc/articles/PMC8905522/ /pubmed/35280791 http://dx.doi.org/10.3389/fonc.2022.795265 Text en Copyright © 2022 Fardanesh, Thakur, Sevilimedu, Horvat, Gullo, Reiner, Eskreis-Winkler, Thakur and Pinker https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Fardanesh, Reza
Thakur, Sunitha B.
Sevilimedu, Varadan
Horvat, Joao V.
Gullo, Roberto Lo
Reiner, Jeffrey S.
Eskreis-Winkler, Sarah
Thakur, Nikita
Pinker, Katja
Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients
title Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients
title_full Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients
title_fullStr Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients
title_full_unstemmed Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients
title_short Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients
title_sort differentiation between benign and metastatic breast lymph nodes using apparent diffusion coefficients
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905522/
https://www.ncbi.nlm.nih.gov/pubmed/35280791
http://dx.doi.org/10.3389/fonc.2022.795265
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