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Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging
BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) is different from conventional diagnostic methods and has the potential to delineate the microscopic anatomy of a target tissue or organ. The purpose of our study was to evaluate the value of DW-MRI in the diagnosis of benign and mal...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4328303/ https://www.ncbi.nlm.nih.gov/pubmed/25889380 http://dx.doi.org/10.1186/s12957-014-0431-3 |
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author | Min, Qinghua Shao, Kangwei Zhai, Lulan Liu, Wei Zhu, Caisong Yuan, Lixin Yang, Jun |
author_facet | Min, Qinghua Shao, Kangwei Zhai, Lulan Liu, Wei Zhu, Caisong Yuan, Lixin Yang, Jun |
author_sort | Min, Qinghua |
collection | PubMed |
description | BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) is different from conventional diagnostic methods and has the potential to delineate the microscopic anatomy of a target tissue or organ. The purpose of our study was to evaluate the value of DW-MRI in the diagnosis of benign and malignant breast masses, which would help the clinical surgeon to decide the scope and pattern of operation. METHODS: A total of 52 female patients with palpable solid breast masses received breast MRI scans using routine sequences, dynamic contrast-enhanced imaging, and diffusion-weighted echo-planar imaging at b values of 400, 600, and 800 s/mm(2), respectively. Two regions of interest (ROIs) were plotted, with a smaller ROI for the highest signal and a larger ROI for the overall lesion. Apparent diffusion coefficient (ADC) values were calculated at three different b values for all detectable lesions and from two different ROIs. The sensitivity, specificity, positive predictive value, and positive likelihood ratio of DW-MRI were determined for comparison with histological results. RESULTS: A total of 49 (49/52, 94.2%) lesions were detected using DW-MRI, including 20 benign lesions (two lesions detected in the same patient) and 29 malignant lesions. Benign lesion had a higher mean ADC value than their malignant counterparts, regardless of b value. According to the receiver operating characteristic (ROC) curve, the smaller-range ROI was more effective in differentiation between benign and malignant lesions. The area under the ROC curve was the largest at a b value of 800 s/mm(2). With a threshold ADC value at 1.23 × 10(−3) mm(2)/s, DW-MRI achieved a sensitivity of 82.8%, specificity of 90.0%, positive predictive value of 92.3%, and positive likelihood ratio of 8.3 for differentiating benign and malignant lesions. CONCLUSIONS: DW-MRI is an accurate diagnostic tool for differentiation between benign and malignant breast lesions, with an optimal b value of 800 s/mm(2). A smaller-range ROI focusing on the highest signal has a better differential value. |
format | Online Article Text |
id | pubmed-4328303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43283032015-02-15 Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging Min, Qinghua Shao, Kangwei Zhai, Lulan Liu, Wei Zhu, Caisong Yuan, Lixin Yang, Jun World J Surg Oncol Research BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) is different from conventional diagnostic methods and has the potential to delineate the microscopic anatomy of a target tissue or organ. The purpose of our study was to evaluate the value of DW-MRI in the diagnosis of benign and malignant breast masses, which would help the clinical surgeon to decide the scope and pattern of operation. METHODS: A total of 52 female patients with palpable solid breast masses received breast MRI scans using routine sequences, dynamic contrast-enhanced imaging, and diffusion-weighted echo-planar imaging at b values of 400, 600, and 800 s/mm(2), respectively. Two regions of interest (ROIs) were plotted, with a smaller ROI for the highest signal and a larger ROI for the overall lesion. Apparent diffusion coefficient (ADC) values were calculated at three different b values for all detectable lesions and from two different ROIs. The sensitivity, specificity, positive predictive value, and positive likelihood ratio of DW-MRI were determined for comparison with histological results. RESULTS: A total of 49 (49/52, 94.2%) lesions were detected using DW-MRI, including 20 benign lesions (two lesions detected in the same patient) and 29 malignant lesions. Benign lesion had a higher mean ADC value than their malignant counterparts, regardless of b value. According to the receiver operating characteristic (ROC) curve, the smaller-range ROI was more effective in differentiation between benign and malignant lesions. The area under the ROC curve was the largest at a b value of 800 s/mm(2). With a threshold ADC value at 1.23 × 10(−3) mm(2)/s, DW-MRI achieved a sensitivity of 82.8%, specificity of 90.0%, positive predictive value of 92.3%, and positive likelihood ratio of 8.3 for differentiating benign and malignant lesions. CONCLUSIONS: DW-MRI is an accurate diagnostic tool for differentiation between benign and malignant breast lesions, with an optimal b value of 800 s/mm(2). A smaller-range ROI focusing on the highest signal has a better differential value. BioMed Central 2015-02-07 /pmc/articles/PMC4328303/ /pubmed/25889380 http://dx.doi.org/10.1186/s12957-014-0431-3 Text en © Min et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Min, Qinghua Shao, Kangwei Zhai, Lulan Liu, Wei Zhu, Caisong Yuan, Lixin Yang, Jun Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging |
title | Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging |
title_full | Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging |
title_fullStr | Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging |
title_full_unstemmed | Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging |
title_short | Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging |
title_sort | differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4328303/ https://www.ncbi.nlm.nih.gov/pubmed/25889380 http://dx.doi.org/10.1186/s12957-014-0431-3 |
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