Literature DB >> 19902330

Diffusion-weighted imaging in breast lesion evaluation.

P Belli1, M Costantini, E Bufi, A Magistrelli, G La Torre, L Bonomo.   

Abstract

PURPOSE: The purpose of this study was to investigate the ability of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in the detection and characterisation of breast lesions.
MATERIALS AND METHODS: From September 2005 to September 2007, 86 patients with breast lesions who underwent magnetic resonance imaging (MRI) in our department were included in our study. MRI was performed with a 1.5-T unit using a standard protocol including DWI sequence. For each breast lesion, the ADC value was calculated and compared with that of normal breast tissue and to the definitive pathological diagnosis. Mann-Whitney U and Kruskal-Wallis tests were used for statistical analysis.
RESULTS: A total of 126 breast lesions were detected. Pathology results revealed 100 malignant and 26 benign lesions. Mean diameter of lesions was 26.02 mm (range 4-90 mm), including 52 lesions <or=15 mm in size. Mean ADC value of normal glandular tissue was 1.55x10(-3) mm(2)/s. Mean ADC value of malignant lesions was 0.97x10(-3) mm(2)/s. Mean ADC value for benign lesions was 1.66x10(-3) mm(2)/s. Benign lesions showed ADC values significantly higher than malignant lesions (p<0.0001).
CONCLUSIONS: DWI provides reliable information to support MRI diagnosis of breast masses. ADC value appears a promising adjunctive parameter in distinguishing malignant from benign breast lesions.

Entities:  

Mesh:

Year:  2009        PMID: 19902330     DOI: 10.1007/s11547-009-0430-6

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


  35 in total

1.  Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

Authors:  C K Kuhl; P Mielcareck; S Klaschik; C Leutner; E Wardelmann; J Gieseke; H H Schild
Journal:  Radiology       Date:  1999-04       Impact factor: 11.105

2.  In vivo diffusion-weighted MRI of the breast: potential for lesion characterization.

Authors:  Shantanu Sinha; Flora Anne Lucas-Quesada; Usha Sinha; Nanette DeBruhl; Lawrence W Bassett
Journal:  J Magn Reson Imaging       Date:  2002-06       Impact factor: 4.813

3.  Breast lesion detection and characterization at contrast-enhanced MR mammography: gadobenate dimeglumine versus gadopentetate dimeglumine.

Authors:  Federica Pediconi; Carlo Catalano; Rossella Occhiato; Fiammetta Venditti; Francesco Fraioli; Alessandro Napoli; Miles A Kirchin; Roberto Passariello
Journal:  Radiology       Date:  2005-08-26       Impact factor: 11.105

4.  Quantitative diffusion imaging in breast cancer: a clinical prospective study.

Authors:  Erika Rubesova; Anne-Sophie Grell; Viviane De Maertelaer; Thierry Metens; Shih-Li Chao; Marc Lemort
Journal:  J Magn Reson Imaging       Date:  2006-08       Impact factor: 4.813

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

Authors:  A Fausto; A Magaldi; B Babaei Paskeh; L Menicagli; E N Lupo; F Sardanelli
Journal:  Radiol Med       Date:  2007-10-21       Impact factor: 3.469

Review 6.  Advances in breast imaging: magnetic resonance imaging.

Authors:  Lia Bartella; Elizabeth A Morris
Journal:  Curr Oncol Rep       Date:  2006-01       Impact factor: 5.075

7.  Angiogenesis and dynamic MR imaging gadolinium enhancement of malignant and benign breast lesions.

Authors:  P C Stomper; J S Winston; S Herman; D L Klippenstein; M A Arredondo; L E Blumenson
Journal:  Breast Cancer Res Treat       Date:  1997-08       Impact factor: 4.872

Review 8.  Imaging breast cancer.

Authors:  Lia Bartella; Clare S Smith; D David Dershaw; Laura Liberman
Journal:  Radiol Clin North Am       Date:  2007-01       Impact factor: 2.303

9.  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

10.  Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion.

Authors:  C Marini; C Iacconi; M Giannelli; A Cilotti; M Moretti; C Bartolozzi
Journal:  Eur Radiol       Date:  2007-03-14       Impact factor: 7.034

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  9 in total

1.  Fat suppression techniques (STIR vs. SPAIR) on diffusion-weighted imaging of breast lesions at 3.0 T: preliminary experience.

Authors:  Sofia Brandão; Luísa Nogueira; Eduarda Matos; Rita Gouveia Nunes; Hugo Alexandre Ferreira; Joana Loureiro; Isabel Ramos
Journal:  Radiol Med       Date:  2015-02-10       Impact factor: 3.469

2.  Correlation between minimum apparent diffusion coefficient values and the histological grade of breast invasive ductal carcinoma.

Authors:  Suhong Zhao; Weihua Guo; Ru Tan; Peipei Chen; Zhaohua Li; Fengguo Sun; Guangrui Shao
Journal:  Oncol Lett       Date:  2018-03-23       Impact factor: 2.967

Review 3.  Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis.

Authors:  Monique D Dorrius; Hildebrand Dijkstra; Matthijs Oudkerk; Paul E Sijens
Journal:  Eur Radiol       Date:  2014-08-09       Impact factor: 5.315

4.  MRI evaluation of neoadjuvant low-dose fractionated radiotherapy with concurrent chemotherapy in patients with locally advanced breast cancer.

Authors:  E Bufi; P Belli; M Costantini; P Rinaldi; M Di Matteo; A Bonatesta; M C De Santis; L Nardone; D Terribile; A Mulé; L Bonomo
Journal:  Br J Radiol       Date:  2012-07-04       Impact factor: 3.039

5.  MR-diffusion imaging in assessing chronic liver diseases: does a clinical role exist?

Authors:  F Pasquinelli; G Belli; L N Mazzoni; F Regini; C Nardi; L Grazioli; A L Zignego; A Linda Zignego; S Colagrande
Journal:  Radiol Med       Date:  2011-10-21       Impact factor: 3.469

6.  Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.

Authors:  Sana Parsian; Habib Rahbar; Kimberly H Allison; Wendy B Demartini; Matthew L Olson; Constance D Lehman; Savannah C Partridge
Journal:  Radiology       Date:  2012-10-02       Impact factor: 11.105

7.  Diffusion tensor magnetic resonance imaging of the normal breast: reproducibility of DTI-derived fractional anisotropy and apparent diffusion coefficient at 3.0 T.

Authors:  A Tagliafico; G Rescinito; F Monetti; A Villa; F Chiesa; E Fisci; D Pace; M Calabrese
Journal:  Radiol Med       Date:  2012-05-14       Impact factor: 3.469

8.  Apparent diffusion coefficient measurements in the differentiation between benign and malignant lesions: a systematic review.

Authors:  M A Vermoolen; T C Kwee; R A J Nievelstein
Journal:  Insights Imaging       Date:  2012-06-07

9.  Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-10-15       Impact factor: 4.430

  9 in total

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