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The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study

Diffusion-weighted imaging (DWI) plays an important role in the diagnosis of breast cancer as well as the evaluation of treatment effects. A novel technique named b-value map based on thresholded DWI images has been proposed and can achieve good contrast for demonstrating prostate lesions only by ma...

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Autores principales: Zhao, Na, Ma, Chao, Ye, Xiaolong, Danie, Nimpagaritse, Fu, Caixia, Hao, Qiang, Lu, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946245/
https://www.ncbi.nlm.nih.gov/pubmed/31689773
http://dx.doi.org/10.1097/MD.0000000000017640
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author Zhao, Na
Ma, Chao
Ye, Xiaolong
Danie, Nimpagaritse
Fu, Caixia
Hao, Qiang
Lu, Jianping
author_facet Zhao, Na
Ma, Chao
Ye, Xiaolong
Danie, Nimpagaritse
Fu, Caixia
Hao, Qiang
Lu, Jianping
author_sort Zhao, Na
collection PubMed
description Diffusion-weighted imaging (DWI) plays an important role in the diagnosis of breast cancer as well as the evaluation of treatment effects. A novel technique named b-value map based on thresholded DWI images has been proposed and can achieve good contrast for demonstrating prostate lesions only by manipulating the window width and center of the images. Its application on the breast has not yet explored, so the aim of the study was to investigate the feasibility of b-value maps based on threshold DWI for detection of breast cancer. A total of 25 patients with pathologically proven invasive ductal breast carcinoma were included and underwent preoperative magnetic resonance imaging (MRI) examinations including DWI at 3T. The capabilities to display lesions of DWI(b=800), b-value maps and optimal computed DWI (cDWI) images were evaluated by using a 4-point method of scoring. Apparent diffusion coefficient (ADC) values of lesions were measured for the breast carcinoma. Mean scores indicating the display capability were compared among DWI(b=800), optimal cDWI and b-value maps by using Kruskal–Wallis test followed by Nemenyi test. The scores of both b-value maps (3.92 ± 0.28) and optimal cDWI images (3.80 ± 0.41) were higher than that of DWI(b=800) (3.48 ± 0.51), with statistical differences (P = .001 and P = .033, respectively). The optimal b values for manifesting breast carcinoma based on cDWI were 1000 to 1200 s/mm(2). The b-value map enables fast identification for breast lesions and shows similar performance to the optimal cDWI images.
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spelling pubmed-69462452020-01-31 The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study Zhao, Na Ma, Chao Ye, Xiaolong Danie, Nimpagaritse Fu, Caixia Hao, Qiang Lu, Jianping Medicine (Baltimore) 6800 Diffusion-weighted imaging (DWI) plays an important role in the diagnosis of breast cancer as well as the evaluation of treatment effects. A novel technique named b-value map based on thresholded DWI images has been proposed and can achieve good contrast for demonstrating prostate lesions only by manipulating the window width and center of the images. Its application on the breast has not yet explored, so the aim of the study was to investigate the feasibility of b-value maps based on threshold DWI for detection of breast cancer. A total of 25 patients with pathologically proven invasive ductal breast carcinoma were included and underwent preoperative magnetic resonance imaging (MRI) examinations including DWI at 3T. The capabilities to display lesions of DWI(b=800), b-value maps and optimal computed DWI (cDWI) images were evaluated by using a 4-point method of scoring. Apparent diffusion coefficient (ADC) values of lesions were measured for the breast carcinoma. Mean scores indicating the display capability were compared among DWI(b=800), optimal cDWI and b-value maps by using Kruskal–Wallis test followed by Nemenyi test. The scores of both b-value maps (3.92 ± 0.28) and optimal cDWI images (3.80 ± 0.41) were higher than that of DWI(b=800) (3.48 ± 0.51), with statistical differences (P = .001 and P = .033, respectively). The optimal b values for manifesting breast carcinoma based on cDWI were 1000 to 1200 s/mm(2). The b-value map enables fast identification for breast lesions and shows similar performance to the optimal cDWI images. Wolters Kluwer Health 2019-11-01 /pmc/articles/PMC6946245/ /pubmed/31689773 http://dx.doi.org/10.1097/MD.0000000000017640 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://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
spellingShingle 6800
Zhao, Na
Ma, Chao
Ye, Xiaolong
Danie, Nimpagaritse
Fu, Caixia
Hao, Qiang
Lu, Jianping
The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study
title The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study
title_full The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study
title_fullStr The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study
title_full_unstemmed The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study
title_short The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case–control STROBE compliant study
title_sort feasibility of b-value maps based on threshold dwi for detection of breast cancer: a case–control strobe compliant study
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946245/
https://www.ncbi.nlm.nih.gov/pubmed/31689773
http://dx.doi.org/10.1097/MD.0000000000017640
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