Literature DB >> 12185335

The role of contrast-enhanced MR mammography for determining candidates for breast conservation surgery.

Yu Zhang1, Hiroshi Fukatsu, Shinji Naganawa, Hiroko Satake, Yasuyuki Sato, Mikinao Ohiwa, Tokiko Endo, Shu Ichihara, Takeo Ishigaki.   

Abstract

PURPOSE: The aim of this study was to assess the impact of preoperative magnetic resonance mammography (MRM) on the surgical determination of breast conservation treatment for breast cancer patients.
METHODS: From September 1997 to March 2000, 57 consecutive breast conservation treatment candidates were prospectively evaluated with conventional imaging studies (mammography and ultrasonography) and preoperative MRM.
RESULTS: In 47 of 54 (87% ) breast cancer patients breast conservation surgery (BCS) was indicated on the basis of mammography (MMG) and ultrasonography (US). However in 40 of the 54 (74% ) patients BCS was indicated on the basis of MRM. Thirty-eight of the 40 patients ultimately underwent BCS and only 1 showed a positive margin. There were 7 patients whose MRM findings suggested that more aggressive treatment than BCS was needed but for whom US/MMG suggested that BCS was appropriate. Five of the 7 patients underwent mastectomy rather than BCS based on the MRM findings, which were justified by post-surgical histological findings. Of the 2 remaining patients who underwent BCS, one had a positive histological margin and one had recurrence, both of which resulted in salvage mastectomy.
CONCLUSION: Our study suggests that high resolution preoperative MRM provides more accurate information compared with US and MMG for selecting candidates for BCS. Using MRM as a routine staging tool may reduce unnecessary repeated excisions. A larger study will be required to confirm these findings and to define the patients most likely to benefit from breast MR imaging.

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Year:  2002        PMID: 12185335     DOI: 10.1007/bf02967595

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  13 in total

Review 1.  Technical aspects of breast MRI--do they affect outcomes?

Authors:  Ruth Warren; Stefano Ciatto; Petra Macaskill; Richard Black; Nehmat Houssami
Journal:  Eur Radiol       Date:  2009-02-27       Impact factor: 5.315

2.  Retrospective study assessing the role of MRI in the diagnostic procedures for early breast carcinoma: a correlation of new foci in the MRI with tumor pathological features.

Authors:  I Calvo-Plaza; L Ugidos; C Miró; P Quevedo; M Parras; C Márquez; J J de la Cruz; A Suárez-Gauthier; F J Pérez; M Herrero; M Marcos; M García-Aranda; M Hidalgo; L G Estévez
Journal:  Clin Transl Oncol       Date:  2012-08-08       Impact factor: 3.405

Review 3.  Magnetic resonance imaging in the preoperative assessment of patients with primary breast cancer: systematic review of diagnostic accuracy and meta-analysis.

Authors:  María Nieves Plana; Carmen Carreira; Alfonso Muriel; Miguel Chiva; Víctor Abraira; Jose Ignacio Emparanza; Xavier Bonfill; Javier Zamora
Journal:  Eur Radiol       Date:  2011-08-17       Impact factor: 5.315

4.  Algorithm-based method for detection of blood vessels in breast MRI for development of computer-aided diagnosis.

Authors:  Muqing Lin; Jeon-Hor Chen; Ke Nie; Daniel Chang; Orhan Nalcioglu; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2009-10       Impact factor: 4.813

5.  Prediction of malignant breast lesions from MRI features: a comparison of artificial neural network and logistic regression techniques.

Authors:  Christine E McLaren; Wen-Pin Chen; Ke Nie; Min-Ying Su
Journal:  Acad Radiol       Date:  2009-05-05       Impact factor: 3.173

Review 6.  Impact of preoperative breast MRI on surgical decision making and clinical outcomes: a systematic review.

Authors:  Armen Parsyan; Awadh Alqahtani; Benoit Mesurolle; Sarkis Meterissian
Journal:  World J Surg       Date:  2013-09       Impact factor: 3.352

7.  Significance of breast lesion descriptors in the ACR BI-RADS MRI lexicon.

Authors:  Garima Agrawal; Min-Ying Su; Orhan Nalcioglu; Stephen A Feig; Jeon-Hor Chen
Journal:  Cancer       Date:  2009-04-01       Impact factor: 6.860

8.  Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI.

Authors:  Ke Nie; Jeon-Hor Chen; Hon J Yu; Yong Chu; Orhan Nalcioglu; Min-Ying Su
Journal:  Acad Radiol       Date:  2008-12       Impact factor: 3.173

9.  Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement.

Authors:  Dustin Newell; Ke Nie; Jeon-Hor Chen; Chieh-Chih Hsu; Hon J Yu; Orhan Nalcioglu; Min-Ying Su
Journal:  Eur Radiol       Date:  2009-09-30       Impact factor: 5.315

10.  Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: a machine learning approach.

Authors:  Hongmin Cai; Yanxia Peng; Caiwen Ou; Minsheng Chen; Li Li
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

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