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Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status

BACKGROUND: Variations in axillary lymph node (ALN) metastatic potential between different breast cancers lead to microscopical alterations in tumor perfusion heterogeneity. This study investigated the usefulness of histogram metrics from iodine maps in the preoperative diagnosis of metastatic ALNs...

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Autores principales: Zeng, Fang, Chen, Lili, Lin, Lin, Hu, Hanglin, Li, Jing, He, Peng, Wang, Chuang, Xue, Yunjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703105/
https://www.ncbi.nlm.nih.gov/pubmed/36465827
http://dx.doi.org/10.21037/qims-22-253
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author Zeng, Fang
Chen, Lili
Lin, Lin
Hu, Hanglin
Li, Jing
He, Peng
Wang, Chuang
Xue, Yunjing
author_facet Zeng, Fang
Chen, Lili
Lin, Lin
Hu, Hanglin
Li, Jing
He, Peng
Wang, Chuang
Xue, Yunjing
author_sort Zeng, Fang
collection PubMed
description BACKGROUND: Variations in axillary lymph node (ALN) metastatic potential between different breast cancers lead to microscopical alterations in tumor perfusion heterogeneity. This study investigated the usefulness of histogram metrics from iodine maps in the preoperative diagnosis of metastatic ALNs in patients with early-stage breast cancer. METHODS: Between October 2020 and November 2021 enhanced spectral computed tomography (CT) was performed in female patients with breast cancer. Quantitative spectral CT parameters and histogram parameters (mean, median, maximum, minimum, 10th percentiles, 90th percentiles, kurtosis, skewness, energy, range, and variance) from iodine maps were compared between patients with metastatic and nonmetastatic ALNs. Continuous variables were compared using Student’s t-test or Mann-Whitney U test. Categorical variables were compared using Pearson’s chi-square tests or Fisher’s exact tests. Associations between ALN status and imaging features were evaluated using Mann-Whitney U test and receiver operating characteristic (ROC) curve analysis. RESULTS: This study included 113 female patients (62 and 51 in the ALN-negative and ALN-positive groups, respectively). Tumor size, molecular subtypes, and location differed significantly between the ALN-negative and ALN-positive groups (P<0.05). None of the quantitative spectral CT parameters of mass between metastatic and nonmetastatic ALN groups were significantly different (P>0.05). Histogram parameters of iodine maps for breast cancers, including maximum, 10th percentile, range, and energy, were significantly higher in the metastatic ALNs group compared with the nonmetastatic ALNs group (P<0.05). Multivariable logistic regression analyses showed that tumor location and energy were independent predictors of metastatic ALNs in breast cancers. The combination of independent predictors yielded an area under the curve (AUC) of 0.824 (sensitivity 72.5%; specificity 74.2%). CONCLUSIONS: Whole-lesion histogram parameters derived from spectral CT iodine maps may be used as a complementary noninvasive means for the preoperative identification of ALN metastases in patients with early-stage breast cancer.
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spelling pubmed-97031052022-12-01 Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status Zeng, Fang Chen, Lili Lin, Lin Hu, Hanglin Li, Jing He, Peng Wang, Chuang Xue, Yunjing Quant Imaging Med Surg Original Article BACKGROUND: Variations in axillary lymph node (ALN) metastatic potential between different breast cancers lead to microscopical alterations in tumor perfusion heterogeneity. This study investigated the usefulness of histogram metrics from iodine maps in the preoperative diagnosis of metastatic ALNs in patients with early-stage breast cancer. METHODS: Between October 2020 and November 2021 enhanced spectral computed tomography (CT) was performed in female patients with breast cancer. Quantitative spectral CT parameters and histogram parameters (mean, median, maximum, minimum, 10th percentiles, 90th percentiles, kurtosis, skewness, energy, range, and variance) from iodine maps were compared between patients with metastatic and nonmetastatic ALNs. Continuous variables were compared using Student’s t-test or Mann-Whitney U test. Categorical variables were compared using Pearson’s chi-square tests or Fisher’s exact tests. Associations between ALN status and imaging features were evaluated using Mann-Whitney U test and receiver operating characteristic (ROC) curve analysis. RESULTS: This study included 113 female patients (62 and 51 in the ALN-negative and ALN-positive groups, respectively). Tumor size, molecular subtypes, and location differed significantly between the ALN-negative and ALN-positive groups (P<0.05). None of the quantitative spectral CT parameters of mass between metastatic and nonmetastatic ALN groups were significantly different (P>0.05). Histogram parameters of iodine maps for breast cancers, including maximum, 10th percentile, range, and energy, were significantly higher in the metastatic ALNs group compared with the nonmetastatic ALNs group (P<0.05). Multivariable logistic regression analyses showed that tumor location and energy were independent predictors of metastatic ALNs in breast cancers. The combination of independent predictors yielded an area under the curve (AUC) of 0.824 (sensitivity 72.5%; specificity 74.2%). CONCLUSIONS: Whole-lesion histogram parameters derived from spectral CT iodine maps may be used as a complementary noninvasive means for the preoperative identification of ALN metastases in patients with early-stage breast cancer. AME Publishing Company 2022-12 /pmc/articles/PMC9703105/ /pubmed/36465827 http://dx.doi.org/10.21037/qims-22-253 Text en 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zeng, Fang
Chen, Lili
Lin, Lin
Hu, Hanglin
Li, Jing
He, Peng
Wang, Chuang
Xue, Yunjing
Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status
title Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status
title_full Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status
title_fullStr Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status
title_full_unstemmed Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status
title_short Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status
title_sort iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703105/
https://www.ncbi.nlm.nih.gov/pubmed/36465827
http://dx.doi.org/10.21037/qims-22-253
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