title: High-field MR spectroscopy in the multiparametric MRI evaluation of breast lesions.
abstract: BACKGROUND
  The aim of this work was to assess the role of 3T-MR spectroscopy (MRS) in the multi-parametric MRI evaluation of breast lesions, using a pattern-recognition based classification method.
  
  
  METHODS
  291 patients (301 lesions, median 2.3cm3) were enrolled in the study (age 18-85y, mean 54.2y). T1-TSE (TR/TE=400/10ms) and T2-STIR imaging (TR/TE=5000/60ms), dynamic-contrast-enhanced MRI (DCE-MRI), apparent diffusion coefficient (ADC) (b=0-800s/mm2), and single-voxel MRS (10×10×10mm3, PRESS, TR/TE=3000ms/135ms) were performed by means of a 3T scanner. MRS results were accepted if the FWHM of the water peak was ⩽45Hz. Total choline (tCho) was considered detected if the signal-to-noise ratio (SNR) of the 3.2ppmpeak was ⩾2. A classifier-based analysis (support-vector-machines, SVM) was performed with 4-dimensional vectors including type of margin, DCE-MRI kinetic curve type, ADC mean value, and tCho SNR. A comparison with 3-dimensional vectors (without tCho SNR) was used to assess MRS impact on sensitivity, specificity, and positive-negative predictive values (PPV-NPV) for malignancy.
  
  
  RESULTS
  228 lesions (180 malignant/48 benign) showed acceptable spectral quality. Comparison of classification results with histopathological examination of surgical specimens showed sensitivity=93.7%, specificity=84.9%, PPV=95.2%, NPV=81.5% without the inclusion of MRS in the SVM analysis. When MRS was included, the figures increased to 95.1%, 90.7%, 97.2%, and 85.0%, respectively.
  
  
  CONCLUSIONS
  Inclusion of 3T-MRS in the multi-parametric MRI evaluation of breast lesions improved the performance of the SVM-based classifier, showing a possible role of high-field MR spectroscopy in the differential diagnosis between benign and malignant breast lesions. Further research is however needed to confirm this initial evidence.
authors.affiliation: Medical Physics Unit, Azienda Ospedaliera Universitaria Integrata - Verona, P.le Stefani 1, 37126 Verona, Italy. Electronic address: carlo.cavedon@ospedaleuniverona.it.
authors.forename: Carlo
authors.initials: C
authors.lastname: Cavedon
authors.affiliation: Medical Physics Unit, Azienda Ospedaliera Universitaria Integrata - Verona, P.le Stefani 1, 37126 Verona, Italy.
authors.forename: Gabriele
authors.initials: G
authors.lastname: Meliadò
authors.affiliation: Medical Physics Unit, Azienda Ospedaliera Universitaria Integrata - Verona, P.le Stefani 1, 37126 Verona, Italy.
authors.forename: Linda
authors.initials: L
authors.lastname: Rossi
authors.affiliation: Radiology Unit, Azienda Ospedaliera Universitaria Integrata - Verona, P.le Stefani 1, 37126 Verona, Italy.
authors.forename: Lucia
authors.initials: L
authors.lastname: Camera
authors.affiliation: Radiology Unit, Azienda Ospedaliera Universitaria Integrata - Verona, P.le Stefani 1, 37126 Verona, Italy.
authors.forename: Ilaria
authors.initials: I
authors.lastname: Baglio
authors.affiliation: Radiology Unit, ULSS 20 - Verona, Ospedale San Bonifacio, Via Circonvallazione, 1 San Bonifacio (VR), Italy.
authors.forename: Francesca
authors.initials: F
authors.lastname: Caumo
authors.affiliation: Radiology Unit, Azienda Ospedaliera Universitaria Integrata - Verona, P.le Stefani 1, 37126 Verona, Italy.
authors.forename: Stefania
authors.initials: S
authors.lastname: Montemezzi
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D009682:Magnetic Resonance Spectroscopy; D008875:Middle Aged; D059629:Signal-To-Noise Ratio; D055815:Young Adult
keywords: Breast imaging; Diffusion weighted imaging; MR spectroscopy; Multi-parametric MRI