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The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer

To evaluate diagnostic performance of perfusion-weighted imaging in differentiating benign from malignant breast lesions, and the correlation between the prognostic factors/subtypes of breast cancers and the perfusion parameters. A total of 76 patients (59 cases with breast cancer) were included in...

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Autores principales: Li, Xun, Fu, Peng, Jiang, Ming, Zhang, Jiaming, Tan, Lun, Ai, Tao, Li, Xingrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701457/
https://www.ncbi.nlm.nih.gov/pubmed/34941052
http://dx.doi.org/10.1097/MD.0000000000028109
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author Li, Xun
Fu, Peng
Jiang, Ming
Zhang, Jiaming
Tan, Lun
Ai, Tao
Li, Xingrui
author_facet Li, Xun
Fu, Peng
Jiang, Ming
Zhang, Jiaming
Tan, Lun
Ai, Tao
Li, Xingrui
author_sort Li, Xun
collection PubMed
description To evaluate diagnostic performance of perfusion-weighted imaging in differentiating benign from malignant breast lesions, and the correlation between the prognostic factors/subtypes of breast cancers and the perfusion parameters. A total of 76 patients (59 cases with breast cancer) were included in our study. The Wilcoxon rank-sum test or the Kruskal–Wallis test were adopted for comparisons according to the dichotomous histopathologic prognostic factors or immunohistochemical subtypes. Receiver operating characteristic curves were used to determine the area under the curve (AUC) values for perfusion parameters to assess discrimination ability. Confirming by pathology after operation, the percentage of benign lesions is 22.37% (17/76), malignant lesions (breast cancer) is 77.63% (59/76). According to puncture and pathological findings after operation, the standard of the molecular subtypes of breast cancer, triple negative account for 13.6% (8/59), non-triple negative account for 86.4% (51/59). The value of mean Ktrans and Kep were lower in benign than malignant lesions (P ≤ .001). The AUC of the 3 indicators are significantly improved after adjusting for age (AUC = 0.858 for Ktrans, AUC = 0.926 for Kep, and AUC = 0.827 for Ve). Moreover, the Ve index showed better discrimination performance than other indicators in identifying patients with triple-negative subtypes. Similarly, the identification ability came to the highest when combing Kep and Ve. Perfusion parameters on dynamic enhanced magnetic resonance imaging are statistically significant in distinguishing benign from malignant breast lesion, and may potentially be used as biomarkers in discriminating patients with triple-negative molecular subtypes of breast cancer.
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spelling pubmed-87014572021-12-27 The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer Li, Xun Fu, Peng Jiang, Ming Zhang, Jiaming Tan, Lun Ai, Tao Li, Xingrui Medicine (Baltimore) 4100 To evaluate diagnostic performance of perfusion-weighted imaging in differentiating benign from malignant breast lesions, and the correlation between the prognostic factors/subtypes of breast cancers and the perfusion parameters. A total of 76 patients (59 cases with breast cancer) were included in our study. The Wilcoxon rank-sum test or the Kruskal–Wallis test were adopted for comparisons according to the dichotomous histopathologic prognostic factors or immunohistochemical subtypes. Receiver operating characteristic curves were used to determine the area under the curve (AUC) values for perfusion parameters to assess discrimination ability. Confirming by pathology after operation, the percentage of benign lesions is 22.37% (17/76), malignant lesions (breast cancer) is 77.63% (59/76). According to puncture and pathological findings after operation, the standard of the molecular subtypes of breast cancer, triple negative account for 13.6% (8/59), non-triple negative account for 86.4% (51/59). The value of mean Ktrans and Kep were lower in benign than malignant lesions (P ≤ .001). The AUC of the 3 indicators are significantly improved after adjusting for age (AUC = 0.858 for Ktrans, AUC = 0.926 for Kep, and AUC = 0.827 for Ve). Moreover, the Ve index showed better discrimination performance than other indicators in identifying patients with triple-negative subtypes. Similarly, the identification ability came to the highest when combing Kep and Ve. Perfusion parameters on dynamic enhanced magnetic resonance imaging are statistically significant in distinguishing benign from malignant breast lesion, and may potentially be used as biomarkers in discriminating patients with triple-negative molecular subtypes of breast cancer. Lippincott Williams & Wilkins 2021-12-23 /pmc/articles/PMC8701457/ /pubmed/34941052 http://dx.doi.org/10.1097/MD.0000000000028109 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 4100
Li, Xun
Fu, Peng
Jiang, Ming
Zhang, Jiaming
Tan, Lun
Ai, Tao
Li, Xingrui
The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer
title The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer
title_full The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer
title_fullStr The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer
title_full_unstemmed The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer
title_short The diagnostic performance of dynamic contrast-enhanced MRI and its correlation with subtypes of breast cancer
title_sort diagnostic performance of dynamic contrast-enhanced mri and its correlation with subtypes of breast cancer
topic 4100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701457/
https://www.ncbi.nlm.nih.gov/pubmed/34941052
http://dx.doi.org/10.1097/MD.0000000000028109
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