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Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging

Overview of attention for article published in World Journal of Surgical Oncology, February 2015
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Title
Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging
Published in
World Journal of Surgical Oncology, February 2015
DOI 10.1186/s12957-014-0431-3
Pubmed ID
Authors

Qinghua Min, Kangwei Shao, Lulan Zhai, Wei Liu, Caisong Zhu, Lixin Yuan, Jun Yang

Abstract

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. 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. 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. 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.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 9%
Student > Doctoral Student 5 9%
Researcher 4 8%
Other 4 8%
Student > Bachelor 4 8%
Other 14 26%
Unknown 17 32%
Readers by discipline Count As %
Medicine and Dentistry 21 40%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Nursing and Health Professions 2 4%
Physics and Astronomy 2 4%
Other 3 6%
Unknown 19 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2016.
All research outputs
#14,800,211
of 22,787,797 outputs
Outputs from World Journal of Surgical Oncology
#517
of 2,042 outputs
Outputs of similar age
#198,871
of 352,561 outputs
Outputs of similar age from World Journal of Surgical Oncology
#29
of 146 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,042 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,561 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.