Literature DB >> 17952685

MR imaging and proton spectroscopy of the breast: how to select the images useful to convey the diagnostic message.

A Fausto1, A Magaldi, B Babaei Paskeh, L Menicagli, E N Lupo, F Sardanelli.   

Abstract

PURPOSE: The purpose of this study was to propose a short way to summarise a breast magnetic resonance (MR) examination including a precontrast and contrast-enhanced dynamic study and proton spectroscopy (1H-MRS) in order to convey the diagnostic message.
MATERIALS AND METHODS: At the Department of Radiology of the Policlinico San Donato (University of Milan), breast MR is routinely performed at 1.5 T as follows: 36-slice axial 2D short-time inversion-recovery (STIR) sequence; 128-partition 3D gradient-echo coronal sequence (1-mm3 siotropic voxel) before and after rapid automatic intravenous injection of 0.1 mmol/kg of Gd-DOTA (one precontrast and four postcontrast phases). Postprocessing includes temporal subtraction (postcontrast minus precontrast), maximum intensity projections (MIPs), percent enhancement-to-time curves for small regions of interest, and axial and/or sagittal multiplanar reconstructions. Single-voxel 1H-MRS is acquired to characterise focal lesions. Applying this protocol, more than 1,200 images are generated for each examination. We select only four MIPs of an early subtracted dynamic phase: one axial similar to craniocaudal x-ray mammographic views, one coronal, and two lateral similar to lateral 90 degrees x-ray mammographic views. For each lesion described in the report, we select five items, including three images, one graph, and one table: STIR image, precontrast and subtracted postcontrast images (morphology), percent enhancement-to-time curves and a table of raw data generating the curves (dynamics). If 1H-MRS has been performed, we add other five items: two postprocessed spectra (metabolism) and three images localising the volume of interest. Only the selected items are printed on films and attached to the report.
RESULTS: The selected items range usually from four (no detected lesion) to 14 (one lesion, studied also with 1H-MRS), to 44 (five lesions, one of them studied also with 1H-MRS). The percentage of items presented with the report if compared with the total number of generated images is equal to 0.33% (4/1,200), 1.17% (14/1,200), and 2.83% (34/1,200), respectively.
CONCLUSIONS: Breast MR imaging and 1H-MRS can be effectively summarised presenting only a minimal fraction of all generated images.

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Year:  2007        PMID: 17952685     DOI: 10.1007/s11547-007-0193-x

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  12 in total

Review 1.  Post-processing of digital images.

Authors:  Luca Perrone; Marco Politi; Raffaella Foschi; Valentina Masini; Francesca Reale; Alessandro Maria Costantini; Pasquale Marano
Journal:  Rays       Date:  2003 Jan-Mar

2.  Dynamic breast magnetic resonance imaging. Effect of changing the region of interest on early enhancement using 2D and 3D techniques.

Authors:  Francesco Sardanelli; Alfonso Fausto; Andrea Iozzelli; Giuseppe Rescinito; Massimo Calabrese
Journal:  J Comput Assist Tomogr       Date:  2004 Sep-Oct       Impact factor: 1.826

3.  Gadolinium-enhanced MR angiography of the breast: is breast cancer associated with ipsilateral higher vascularity?

Authors:  A E Mahfouz; H Sherif; A Saad; M Taupitz; S Filimonow; D Kivelitz; B Hamm
Journal:  Eur Radiol       Date:  2001       Impact factor: 5.315

4.  Gadobenate dimeglumine-enhanced MR imaging breast vascular maps: association between invasive cancer and ipsilateral increased vascularity.

Authors:  Francesco Sardanelli; Andrea Iozzelli; Alfonso Fausto; Alessandro Carriero; Miles A Kirchin
Journal:  Radiology       Date:  2005-04-21       Impact factor: 11.105

5.  Proton MR spectroscopy with choline peak as malignancy marker improves positive predictive value for breast cancer diagnosis: preliminary study.

Authors:  Lia Bartella; Elizabeth A Morris; D David Dershaw; Laura Liberman; Sunitha B Thakur; Chaya Moskowitz; Jennifer Guido; Wei Huang
Journal:  Radiology       Date:  2006-04-07       Impact factor: 11.105

6.  Clinical value of CT three-dimensional imaging in diagnosing gastrointestinal tract diseases.

Authors:  Shao-Yin Duan; Dan-Tong Zhang; Qing-Chi Lin; Yan-Huan Wu
Journal:  World J Gastroenterol       Date:  2006-05-14       Impact factor: 5.742

7.  Classification of hypervascularized lesions in CE MR imaging of the breast.

Authors:  F Baum; U Fischer; R Vosshenrich; E Grabbe
Journal:  Eur Radiol       Date:  2002-02-02       Impact factor: 5.315

8.  Specificity of choline metabolites for in vivo diagnosis of breast cancer using 1H MRS at 1.5 T.

Authors:  Peter Stanwell; Laurence Gluch; David Clark; Boguslaw Tomanek; Luke Baker; Bruno Giuffrè; Cynthia Lean; Peter Malycha; Carolyn Mountford
Journal:  Eur Radiol       Date:  2004-09-03       Impact factor: 5.315

Review 9.  Clinical utility of proton magnetic resonance spectroscopy in characterizing breast lesions.

Authors:  Rachel Katz-Brull; Philip T Lavin; Robert E Lenkinski
Journal:  J Natl Cancer Inst       Date:  2002-08-21       Impact factor: 13.506

Review 10.  MR imaging of the breast: indications, established technique, and new directions.

Authors:  F Sardanelli; A Iozzelli; A Fausto
Journal:  Eur Radiol       Date:  2003-11       Impact factor: 7.034

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  4 in total

1.  Diffusion-weighted imaging in breast lesion evaluation.

Authors:  P Belli; M Costantini; E Bufi; A Magistrelli; G La Torre; L Bonomo
Journal:  Radiol Med       Date:  2009-11-09       Impact factor: 3.469

2.  Contrast-enhanced breast MR imaging of claustrophobic or oversized patients using an open low-field magnet.

Authors:  M Calabrese; D Brizzi; L Carbonaro; M Chiaramondia; M A Kirchin; F Sardanelli
Journal:  Radiol Med       Date:  2009-02-04       Impact factor: 3.469

Review 3.  Clinical Breast MR Using MRS or DWI: Who Is the Winner?

Authors:  Francesco Sardanelli; Luca Alessandro Carbonaro; Stefania Montemezzi; Carlo Cavedon; Rubina Manuela Trimboli
Journal:  Front Oncol       Date:  2016-10-28       Impact factor: 6.244

Review 4.  MRI as a biomarker for breast cancer diagnosis and prognosis.

Authors:  Francesca Galati; Veronica Rizzo; Rubina Manuela Trimboli; Endi Kripa; Roberto Maroncelli; Federica Pediconi
Journal:  BJR Open       Date:  2022-05-26
  4 in total

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