| Title |
Breast MR biopsy: Pathological and radiological correlation
|
|---|---|
| Published in |
European Radiology, October 2015
|
| DOI | 10.1007/s00330-015-4071-y |
| Pubmed ID | |
| Authors |
Chloé Dratwa, Aurélie Jalaguier-Coudray, Jeanne Thomassin-Piana, Julie Gonin, Jocelyne Chopier, Martine Antoine, Isabelle Trop, Emile Darai, Isabelle Thomassin-Naggara |
| Abstract |
To identify pathological features for sample analysis of magnetic resonance imaging-guided vaccum-assisted breast biopsy (MRIgVaBB) to optimize radio pathological correlation and identify discordant benign result. Databases of two centres were queried to identify MRIgVaBB performed between January 2009 and February 2013. A cohort of 197 women (mean age: 54.5 years (24-77)) with 208 lesions was identified. We retrospectively analyzed all prebiopsy MRI examinations according to the new BI-RADS lexicon, and all biopsy samples to describe the lesion of interest, its interface with the surrounding breast tissue and other associated features. The malignancy rate was 26.0 % (54/208) with an underestimation rate of 15.67 % (5/32). A visible interface at pathology between a biopsied lesion and the surrounding breast tissue was more frequently identified in mass enhancement compared to NME or focus (p = 0.0003). Regional NME was correlated with a high degree of fibrosis (p = 0.001) and the presence of PASH (p = 0.0007). Linear or segmental NME was correlated with the presence of periductal mastitis (p = 0.0003). The description of a visible interface between the target lesion and the surrounding tissue is crucial to confirm the correct targeting of an MR mass or a NME. • Pathological interface correlated with magnetic resonance mass and focal non-mass enhancement (NME). • Linear or segmental NME correlated with mastitis or ductal carcinoma in situ. • Fibrosis and pseudoangiomatous stromal hyperplasia (PASH) are correlated with regional NME. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 29% |
| Researcher | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Student > Postgraduate | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 50% |
| Nursing and Health Professions | 2 | 8% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 25% |
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 30 October 2015.
All research outputs
#20,295,099
of 22,831,537 outputs
Outputs from European Radiology
#3,300
of 4,122 outputs
Outputs of similar age
#238,737
of 284,657 outputs
Outputs of similar age from European Radiology
#52
of 66 outputs
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