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Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)

AIM: The aim of this study was to investigate and evaluate the role of magnetic resonance (MR) diffusion kurtosis imaging (DKI) in characterizing breast lesions. MATERIALS AND METHODS: One hundred and twenty-four lesions in 103 patients (mean age: 57±14 years) were evaluated by MR DKI performed with...

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Autores principales: Wu, Dongmei, Li, Guanwu, Zhang, Junxiang, Chang, Shixing, Hu, Jiani, Dai, Yongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236178/
https://www.ncbi.nlm.nih.gov/pubmed/25406010
http://dx.doi.org/10.1371/journal.pone.0113240
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author Wu, Dongmei
Li, Guanwu
Zhang, Junxiang
Chang, Shixing
Hu, Jiani
Dai, Yongming
author_facet Wu, Dongmei
Li, Guanwu
Zhang, Junxiang
Chang, Shixing
Hu, Jiani
Dai, Yongming
author_sort Wu, Dongmei
collection PubMed
description AIM: The aim of this study was to investigate and evaluate the role of magnetic resonance (MR) diffusion kurtosis imaging (DKI) in characterizing breast lesions. MATERIALS AND METHODS: One hundred and twenty-four lesions in 103 patients (mean age: 57±14 years) were evaluated by MR DKI performed with 7 b-values of 0, 250, 500, 750, 1,000, 1,500, 2,000 s/mm(2) and dynamic contrast-enhanced (DCE) MR imaging. Breast lesions were histologically characterized and DKI related parameters—mean diffusivity (MD) and mean kurtosis (MK)—were measured. The MD and MK in normal fibroglandular breast tissue, benign and malignant lesions were compared by One-way analysis of variance (ANOVA) with Tukey's multiple comparison test. Receiver operating characteristic (ROC) analysis was performed to assess the sensitivity and specificity of MD and MK in the diagnosis of breast lesions. RESULTS: The benign lesions (n = 42) and malignant lesions (n = 82) had mean diameters of 11.4±3.4 mm and 35.8±20.1 mm, respectively. The MK for malignant lesions (0.88±0.17) was significantly higher than that for benign lesions (0.47±0.14) (P<0.001), and, in contrast, MD for benign lesions (1.97±0.35 (10(−3) mm(2)/s)) was higher than that for malignant lesions (1.20±0.31 (10(−3) mm(2)/s)) (P<0.001). At a cutoff MD/MK 1.58 (10(−3) mm(2)/s)/0.69, sensitivity and specificity of MD/MK for the diagnosis of malignant were 79.3%/84.2% and 92.9%/92.9%, respectively. The area under the curve (AUC) is 0.86/0.92 for MD/MK. CONCLUSIONS: DKI could provide valuable information on the diffusion properties related to tumor microenvironment and increase diagnostic confidence of breast tumors.
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spelling pubmed-42361782014-11-21 Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI) Wu, Dongmei Li, Guanwu Zhang, Junxiang Chang, Shixing Hu, Jiani Dai, Yongming PLoS One Research Article AIM: The aim of this study was to investigate and evaluate the role of magnetic resonance (MR) diffusion kurtosis imaging (DKI) in characterizing breast lesions. MATERIALS AND METHODS: One hundred and twenty-four lesions in 103 patients (mean age: 57±14 years) were evaluated by MR DKI performed with 7 b-values of 0, 250, 500, 750, 1,000, 1,500, 2,000 s/mm(2) and dynamic contrast-enhanced (DCE) MR imaging. Breast lesions were histologically characterized and DKI related parameters—mean diffusivity (MD) and mean kurtosis (MK)—were measured. The MD and MK in normal fibroglandular breast tissue, benign and malignant lesions were compared by One-way analysis of variance (ANOVA) with Tukey's multiple comparison test. Receiver operating characteristic (ROC) analysis was performed to assess the sensitivity and specificity of MD and MK in the diagnosis of breast lesions. RESULTS: The benign lesions (n = 42) and malignant lesions (n = 82) had mean diameters of 11.4±3.4 mm and 35.8±20.1 mm, respectively. The MK for malignant lesions (0.88±0.17) was significantly higher than that for benign lesions (0.47±0.14) (P<0.001), and, in contrast, MD for benign lesions (1.97±0.35 (10(−3) mm(2)/s)) was higher than that for malignant lesions (1.20±0.31 (10(−3) mm(2)/s)) (P<0.001). At a cutoff MD/MK 1.58 (10(−3) mm(2)/s)/0.69, sensitivity and specificity of MD/MK for the diagnosis of malignant were 79.3%/84.2% and 92.9%/92.9%, respectively. The area under the curve (AUC) is 0.86/0.92 for MD/MK. CONCLUSIONS: DKI could provide valuable information on the diffusion properties related to tumor microenvironment and increase diagnostic confidence of breast tumors. Public Library of Science 2014-11-18 /pmc/articles/PMC4236178/ /pubmed/25406010 http://dx.doi.org/10.1371/journal.pone.0113240 Text en © 2014 Wu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wu, Dongmei
Li, Guanwu
Zhang, Junxiang
Chang, Shixing
Hu, Jiani
Dai, Yongming
Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)
title Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)
title_full Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)
title_fullStr Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)
title_full_unstemmed Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)
title_short Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)
title_sort characterization of breast tumors using diffusion kurtosis imaging (dki)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236178/
https://www.ncbi.nlm.nih.gov/pubmed/25406010
http://dx.doi.org/10.1371/journal.pone.0113240
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