Literature DB >> 27790545

The Role of MR Mammography in Differentiating Benign from Malignant in Suspicious Breast Masses.

Padhmini Balasubramanian1, Vijaya Karthikeyan Murugesan2, Vinoth Boopathy3.   

Abstract

INTRODUCTION: Magnetic Resonance (MR) Mammography is being increasingly used now-a-days for the evaluation of breast lesions. AIM: To find out the effectiveness and the exact role of MR mammography in differentiating benign lesions from malignant lesions in patients with palpable, suspicious breast masses found on routine conventional imaging techniques.
MATERIALS AND METHODS: It was a prospective study wherein patients with suspicious breast lesions were subjected to MR mammography. The morphological feature (smooth vs irregular margin) and the enhancement patterns (Type Ia/Ib vs Type II vs Type III) of the lesions were assessed and finally the effectiveness of MR mammography in differentiating benign and malignant lesions was judged by taking the histopathological diagnosis as the gold standard.
RESULTS: A total of 33 patients with 35 breast lesions were finally analysed. The sensitivity, specificity, Positive Predictive Value (PPV) and the Negative Predictive Value (NPV) in differentiating benign from malignant breast lesion for the type of margin on MR mammography was 95.45%, 84.6%, 91.3% and 91.7%, while for the type of enhancement curve it was 76.2%, 90.9%, 94.1% and 66.7% respectively. The sensitivity and negative predictive value for the type of margins was statistically better when compared to the type of enhancement curve in differentiating benign from malignant lesions but the specificity and PPV though better for the type of enhancement curve was not found to be statistically significant.
CONCLUSION: MR mammography was found to be an effective tool in differentiating benign from malignant suspicious breast lesions. The type of margin and the enhancement patterns both individually and in combination provide the clinicians with ample information so as to decide on further management.

Entities:  

Keywords:  Breast lesions; MRI breast; Time signal intensity curves

Year:  2016        PMID: 27790545      PMCID: PMC5072045          DOI: 10.7860/JCDR/2016/21820.8456

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  14 in total

Review 1.  MRI of the breast.

Authors:  S C Rankin
Journal:  Br J Radiol       Date:  2000-08       Impact factor: 3.039

2.  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

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

Review 4.  Current role of magnetic resonance imaging in breast imaging: a primer for the primary care physician.

Authors:  Shinil K Shah; Shiwan K Shah; Kathleen V Greatrex
Journal:  J Am Board Fam Pract       Date:  2005 Nov-Dec

Review 5.  Who should have breast magnetic resonance imaging evaluation?

Authors:  Susan Orel
Journal:  J Clin Oncol       Date:  2008-02-10       Impact factor: 44.544

6.  Improved diagnostic accuracy in dynamic contrast enhanced MRI of the breast by combined quantitative and qualitative analysis.

Authors:  P F Liu; J F Debatin; R F Caduff; G Kacl; E Garzoli; G P Krestin
Journal:  Br J Radiol       Date:  1998-05       Impact factor: 3.039

7.  Mammography, breast ultrasound, and magnetic resonance imaging for surveillance of women at high familial risk for breast cancer.

Authors:  Christiane K Kuhl; Simone Schrading; Claudia C Leutner; Nuschin Morakkabati-Spitz; Eva Wardelmann; Rolf Fimmers; Walther Kuhn; Hans H Schild
Journal:  J Clin Oncol       Date:  2005-11-20       Impact factor: 44.544

8.  Cancer statistics, 2015.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2015-01-05       Impact factor: 508.702

Review 9.  MR imaging of the breast for the detection, diagnosis, and staging of breast cancer.

Authors:  S G Orel; M D Schnall
Journal:  Radiology       Date:  2001-07       Impact factor: 11.105

10.  Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer.

Authors:  Wendie A Berg; Lorena Gutierrez; Moriel S NessAiver; W Bradford Carter; Mythreyi Bhargavan; Rebecca S Lewis; Olga B Ioffe
Journal:  Radiology       Date:  2004-10-14       Impact factor: 11.105

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