2017, Number 1
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Anales de Radiología México 2017; 16 (1)
Correlation of choline concentrations, in magnetic resonance spectroscopy, with results of breast biopsies
Millán-Sánchez CA, Bocanegra-Kanagusico A, Sánchez-Narváez F
Language: Spanish
References: 13
Page: 43-50
PDF size: 339.24 Kb.
ABSTRACT
Introduction: breast cancer is an increasingly common condition
among women in both developed and developing countries; annually,
it causes hundreds of thousands of deaths worldwide. In addition to
mammogram and ultrasound, magnetic resonance has proved useful
in studying malignant breast disorders; however, at times it can be a
formidable challenge to distinguish malignant from benign lesions.
Measuring choline by magnetic resonance with spectroscopy offers
the capacity to increase the possibility for differentiation.
Objetive: determine the correlation between concentrations of
choline and the histological strain found in breast biopsies.
Material and Methods: a transverse, observational, and descriptive
study in the period October 2015 to June 2016. We analyzed
data from 47 patients with BIRADS 4a, 4b, 4c, and 5, associating
concentrations of choline by magnetic resonance with spectroscopy
with the histopathological results of breast biopsies at Hospital General
Naval de Alta Especialidad.
Results: of the 47 patients who satisfied all the inclusion criteria,
there were 46 women (97.9%) and 1 man (2.1%). In the pathology
(biopsy) results, 21 (44.7%) were benign and 26 (55.3%) malignant.
We obtained a high correlation between concentrations of choline
and malignant lesions.
Conclusions: using a cutoff point in choline concentration of
59.5 mmol/L, we achieved 92.3% sensitivity and up to 100% specificity;
positive predictive value of 100% and negative of 91.3%. These
results are comparable with other studies which report up to 100%
sensitivity with specificity also at 100%. Like other investigations, in
this study we succeeded in showing that magnetic resonance with
spectroscopy can be used effectively in non-invasive evaluation of
malignant tumors, and in differentiation between benign or malignant
conditions with a high degree of precision.
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