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A prospective pilot study of analysis of surgical margins of breast cancers using high-resolution sonography

Overview of attention for article published in SpringerPlus, March 2016
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Title
A prospective pilot study of analysis of surgical margins of breast cancers using high-resolution sonography
Published in
SpringerPlus, March 2016
DOI 10.1186/s40064-016-1921-2
Pubmed ID
Authors

Anabel M. Scaranelo, Hadas Moshonov, Jaime Escallon

Abstract

To investigate the role of high-resolution specimen sonography (SS) to determine the precise location of the targeted lesion in relation to the six surgical margins; the specimen digital radiography isocenter and the correlation with the rate of re-excision and residual tumour. Freshly excised surgical specimens were scanned by a breast radiologist using a high-frequency linear transducer in a cohort of 25 consecutive women undergoing breast conservation. Sonographic measurements of radial distances from all six margins (superior, inferior, lateral, medial, anterior and posterior) were obtained. Sonographic positive margin status was defined as targeted mass identified <5 mm from the tissue edge. The paired t test was used for statistical comparisons between sonographic and pathological measurements. The median cancer size was 15 mm (range 3.80-42 mm; 95 % CI 9.8-18) on sonography and 16 mm (range 2-60 mm; 95 % CI 15-20) on surgical pathology. SS showed 100 % sensitivity and 59 % specificity in the evaluation of surgical pathology margins. 20 % (5 of 25) patients had positive margins where 60 % were in situ carcinoma. The likelihood of carcinoma at the initial surgical margins was significantly higher in dense breasts (3/6 = 50 % vs 1/17 = 5.8 %; p = 0.04). The deviation of the isocenter of the specimens was found not significant. SS is a valuable tool for identify the cancer within the specimen, and better asses the margins. It is of significant importance in patients with dense breasts where specimen radiography is of limited value.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 29%
Student > Master 4 29%
Student > Doctoral Student 2 14%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Medicine and Dentistry 7 50%
Computer Science 2 14%
Nursing and Health Professions 1 7%
Business, Management and Accounting 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 2 14%
Attention Score in Context

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 31 March 2016.
All research outputs
#18,447,592
of 22,856,968 outputs
Outputs from SpringerPlus
#1,260
of 1,849 outputs
Outputs of similar age
#216,781
of 298,400 outputs
Outputs of similar age from SpringerPlus
#109
of 162 outputs
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