Literature DB >> 7480682

Suspect breast lesions: findings at dynamic gadolinium-enhanced MR imaging correlated with mammographic and pathologic features.

P C Stomper1, S Herman, D L Klippenstein, J S Winston, S B Edge, M A Arredondo, R V Mazurchuk, L E Blumenson.   

Abstract

PURPOSE: To prospectively correlate dynamic contrast enhancement at magnetic resonance (MR) imaging with mammographic and pathologic features of suspect breast lesions.
MATERIALS AND METHODS: Forty-nine patients with 51 breast lesions underwent gadolinium-enhanced spoiled gradient-recalled echo (SPGR) MR imaging at 1.5 T, as well as excisional biopsy or cyst aspiration.
RESULTS: Twenty-two of 22 (100%) invasive carcinomas 8 mm or more in diameter, including three (12%) not evident on dense mammograms, enhanced 2.0 or more times the unenhanced intensity. One of three predominantly ductal carcinomas in situ and 10 of 26 (38%) benign lesions enhanced 2.0 or more times. Time-intensity curves were not statistically significantly different among enhancing carcinomas, fibroadenomas, or other benign lesions and showed no statistically significant correlations with pathologic size, nodal status, or hormone receptor status of invasive carcinomas.
CONCLUSION: MR imaging enhancement of 2.0 or more times had high sensitivity (100%) for invasive carcinomas 8 mm or more in diameter, with moderate specificity (65%). Time-intensity curves showed no significant difference between enhancement of benign and malignant lesions.

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Year:  1995        PMID: 7480682     DOI: 10.1148/radiology.197.2.7480682

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  27 in total

1.  Kinetic analysis of lesions without mass effect on breast MRI using manual and computer-assisted methods.

Authors:  Tibor Vag; Pascal A T Baltzer; Matthias Dietzel; Ramy Zoubi; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2010-11-10       Impact factor: 5.315

2.  Low-field versus high-field MRI in diagnosing breast disorders.

Authors:  Eija Pääkkö; Heli Reinikainen; Eija-Leena Lindholm; Tarja Rissanen
Journal:  Eur Radiol       Date:  2005-02-12       Impact factor: 5.315

3.  Contrast-enhanced 3.0-T breast MRI for characterization of breast lesions: increased specificity by using vascular maps.

Authors:  A C Schmitz; N H G M Peters; W B Veldhuis; A M Fernandez Gallardo; P J van Diest; G Stapper; R van Hillegersberg; W P Th M Mali; M A A J van den Bosch
Journal:  Eur Radiol       Date:  2007-09-20       Impact factor: 5.315

4.  Can dynamic contrast-enhanced MRI (DCE-MRI) predict tumor recurrence and lymph node status in patients with breast cancer?

Authors:  S Bahri; J-H Chen; H J Yu; A Kuzucan; O Nalcioglu; M-Y Su
Journal:  Ann Oncol       Date:  2008-03-05       Impact factor: 32.976

5.  What is the sensitivity of mammography and dynamic MR imaging for DCIS if the whole-breast histopathology is used as a reference standard?

Authors:  F Sardanelli; L Bacigalupo; L Carbonaro; A Esseridou; G M Giuseppetti; P Panizza; V Lattanzio; A Del Maschio
Journal:  Radiol Med       Date:  2008-07-09       Impact factor: 3.469

6.  Differentiation of malignant and benign breast lesions using magnetization transfer imaging and dynamic contrast-enhanced MRI.

Authors:  Samantha L Heller; Linda Moy; Sherlin Lavianlivi; Melanie Moccaldi; Sungheon Kim
Journal:  J Magn Reson Imaging       Date:  2012-10-23       Impact factor: 4.813

7.  Fischer's score criteria correlating with histopathological prognostic factors in invasive breast cancer.

Authors:  V Girardi; G Carbognin; L Camera; M Tonegutti; F Bonetti; E Manfrin; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2009-09-22       Impact factor: 3.469

8.  Estrogen receptor and breast MR imaging features: a correlation study.

Authors:  Jeon-Hor Chen; Hyeon-Man Baek; Orhan Nalcioglu; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

9.  The influence of preoperative MRI of the breasts on recurrence rate in patients with breast cancer.

Authors:  Uwe Fischer; Olivier Zachariae; Friedemann Baum; Dorit von Heyden; Matthias Funke; Torsten Liersch
Journal:  Eur Radiol       Date:  2004-07-10       Impact factor: 5.315

10.  Correlation between high resolution dynamic MR features and prognostic factors in breast cancer.

Authors:  Shin Ho Lee; Nariya Cho; Seung Ja Kim; Joo Hee Cha; Kyung Soo Cho; Eun Sook Ko; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2008 Jan-Feb       Impact factor: 3.500

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