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Intradermal microbubbles and contrast-enhanced ultrasound (CEUS) is a feasible approach for sentinel lymph node identification in early-stage breast cancer.

Overview of attention for article published in World Journal of Surgical Oncology, January 2015
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Title
Intradermal microbubbles and contrast-enhanced ultrasound (CEUS) is a feasible approach for sentinel lymph node identification in early-stage breast cancer.
Published in
World Journal of Surgical Oncology, January 2015
DOI 10.1186/s12957-015-0736-x
Pubmed ID
Authors

Xie, Fei, Zhang, Dongjie, Cheng, Lin, Yu, Lei, Yang, Li, Tong, Fuzhong, Liu, Hongjun, Wang, Shu, Wang, Shan

Abstract

Microbubbles and contrast-enhanced ultrasound (CEUS) is a new technique for locating sentinel lymph node (SLN). The aim of this study is to explore the feasibility of SLNs tracing by CEUS using microbubbles in breast cancer patients and the value of enhancing patterns in diagnosing lymph nodes metastases. A clinical trial was registered (trial registration: ChiCTR-DDT-13003778). One hundred and one consecutive consenting patients with breast cancer undergoing SLN biopsy were enrolled. Before the surgery, microbubble was injected periareolarly. Lymphatic drainage pathway was detected by CEUS, and guidewire was deployed to locate the SLN before the operation. Blue dye was also used to help in tracing sentinel lymph node during the operation. The identification rate and the accuracy rate were recorded. Enhancing patterns of lymph nodes were recorded and compared with the pathological diagnosis. Of the 101 cases, SLNs in 99 cases were successfully identified by at least one tracer, including 98 cases identified by CEUS and 97 cases by blue dye. There was no significant difference between the two methods (P = 0.705). Guidewires were deployed successfully in all 98 cases, and the localized SLNs were all isolated successfully in the following operations. The status of SLNs isolated by CEUS was completely identical to that of the whole axillary lymph node while 7.1 % cases were misdiagnosed as negative by blue dye method. The sensitivity of predicting SLNs metastases by CEUS enhancing pattern was 81.8 %, the specificity was 86.2 %, and the positive and negative predictive values were 75.0 and 90.3 %, respectively. Microbubbles and CEUS are feasible approaches for SLN identification. The enhancing patterns on CEUS may be helpful to recognize the metastasizing SLNs. This novel method may be a promising technique for the clinical application.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 29%
Student > Postgraduate 4 19%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Researcher 2 10%
Other 3 14%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 15 71%
Nursing and Health Professions 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Economics, Econometrics and Finance 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Other 0 0%
Unknown 2 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 November 2015.
All research outputs
#5,621,788
of 6,589,635 outputs
Outputs from World Journal of Surgical Oncology
#1,006
of 1,176 outputs
Outputs of similar age
#196,353
of 248,235 outputs
Outputs of similar age from World Journal of Surgical Oncology
#15
of 27 outputs
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So far Altmetric has tracked 1,176 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.