High-risk lesions diagnosed at MRI-guided vacuum-assisted breast biopsy: can underestimation be predicted?
about
The risk of upgrade for atypical ductal hyperplasia detected on magnetic resonance imaging-guided biopsy: a study of 100 cases from four academic institutionsOutcome analysis of 9-gauge MRI-guided vacuum-assisted core needle breast biopsies.Initial experience with magnetic resonance-guided vacuum-assisted biopsy in korean women with breast cancerRadial scar/complex sclerosing lesions: a clinicopathologic correlation study from a single institution.MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience.MRI-guided vacuum-assisted breast biopsy: comparison with stereotactically guided and ultrasound-guided techniques.Apparent diffusion coefficient values may help predict which MRI-detected high-risk breast lesions will upgrade at surgical excision.A simple classification system (the Tree flowchart) for breast MRI can reduce the number of unnecessary biopsies in MRI-only lesions.Lesion characteristics, histopathologic results, and follow-up of breast lesions after MRI-guided biopsyMRI-guided breast interventions.Malignancy rates of B3-lesions in breast magnetic resonance imaging - do all lesions have to be excised?
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P2860
High-risk lesions diagnosed at MRI-guided vacuum-assisted breast biopsy: can underestimation be predicted?
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 14 September 2010
@en
vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
@cs
name
High-risk lesions diagnosed at ...... underestimation be predicted?
@en
High-risk lesions diagnosed at ...... underestimation be predicted?
@nl
type
label
High-risk lesions diagnosed at ...... underestimation be predicted?
@en
High-risk lesions diagnosed at ...... underestimation be predicted?
@nl
prefLabel
High-risk lesions diagnosed at ...... underestimation be predicted?
@en
High-risk lesions diagnosed at ...... underestimation be predicted?
@nl
P2093
P2860
P1433
P1476
High-risk lesions diagnosed at ...... underestimation be predicted?
@en
P2093
Arifa Sadaf
David McCready
Frances O'Malley
Karina Bukhanov
Pavel Crystal
Thomas H Helbich
P2860
P2888
P304
P356
10.1007/S00330-010-1949-6
P407
P577
2010-09-14T00:00:00Z