Literature DB >> 8061451

Comparative signal intensity measurements in dynamic gadolinium-enhanced MR mammography.

I S Gribbestad1, G Nilsen, H E Fjøsne, S Kvinnsland, O A Haugen, P A Rinck.   

Abstract

Increases in signal intensity enhancement were measured in defined regions of interest (ROIs) to allow distinction between malignant and benign tumors with dynamic gadolinium-enhanced magnetic resonance (MR) mammography. Twenty patients with palpable breast lesions (15 malignant, five benign) underwent MR mammography. The dynamic gradient-echo sequence was performed with intravenous bolus injection of gadopentetate dimeglumine and consisted of 25 images with a time resolution of 30 seconds. Contrast enhancement was calculated by comparing user-defined ROIs on pre- and postcontrast images. An increase in signal intensity of 70% or more on the 1-minute postcontrast image was used as the criterion of malignancy. MR mammographic results correlated with histopathologic findings in all patients when the defined ROI was in the most enhancing part of the tumor. For the ROI in areas of submaximal enhancement or when the ROI surrounded the whole lesion, only five and nine tumors, respectively, fulfilled the malignancy criterion. All malignant tumors showed large variations in signal intensity enhancement that depended on the position of the ROI in the tumor. Dynamic, gadolinium-enhanced MR mammography allows distinction of benign from malignant breast tumors when the selected ROI is in the most enhancing part of the lesion.

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Year:  1994        PMID: 8061451     DOI: 10.1002/jmri.1880040339

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  10 in total

1.  Differentiation of normal and neoplastic bone tissue in dynamic gadolinium-enhanced magnetic resonance imaging: validation of a semiautomated technique.

Authors:  F D'Agostino; P Dell'Aia; C C Quattrocchi; R Del Vescovo; R Setola; R F Grasso; B Beomonte Zobel
Journal:  Radiol Med       Date:  2010-06-24       Impact factor: 3.469

2.  Adjunctive diagnostic value of MRI in the breast radial scar.

Authors:  F Perfetto; F Fiorentino; F Urbano; R Silecchia
Journal:  Radiol Med       Date:  2009-05-30       Impact factor: 3.469

3.  Improved discrimination of breast lesions using selective sampling of segmented MR images.

Authors:  Bashar Issa
Journal:  MAGMA       Date:  2006-02-08       Impact factor: 2.310

4.  Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors.

Authors:  Shoshana B Ginsburg; Satish E Viswanath; B Nicolas Bloch; Neil M Rofsky; Elizabeth M Genega; Robert E Lenkinski; Anant Madabhushi
Journal:  J Magn Reson Imaging       Date:  2014-06-18       Impact factor: 4.813

Review 5.  Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review.

Authors:  Xiangyu Yang; Michael V Knopp
Journal:  J Biomed Biotechnol       Date:  2011-04-26

6.  The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations.

Authors:  M O Leach; K M Brindle; J L Evelhoch; J R Griffiths; M R Horsman; A Jackson; G C Jayson; I R Judson; M V Knopp; R J Maxwell; D McIntyre; A R Padhani; P Price; R Rathbone; G J Rustin; P S Tofts; G M Tozer; W Vennart; J C Waterton; S R Williams; P Workman
Journal:  Br J Cancer       Date:  2005-05-09       Impact factor: 7.640

7.  Contralateral parenchymal enhancement on dynamic contrast-enhanced MRI reproduces as a biomarker of survival in ER-positive/HER2-negative breast cancer patients.

Authors:  Bas H M van der Velden; Elizabeth J Sutton; Luca A Carbonaro; Ruud M Pijnappel; Elizabeth A Morris; Kenneth G A Gilhuijs
Journal:  Eur Radiol       Date:  2018-05-07       Impact factor: 5.315

8.  Dynamic contrast-enhanced MR imaging.

Authors:  A R Padhani
Journal:  Cancer Imaging       Date:  2000-10-11       Impact factor: 3.909

9.  Semi-quantitative parameter analysis of DCE-MRI revisited: monte-carlo simulation, clinical comparisons, and clinical validation of measurement errors in patients with type 2 neurofibromatosis.

Authors:  Alan Jackson; Ka-Loh Li; Xiaoping Zhu
Journal:  PLoS One       Date:  2014-03-04       Impact factor: 3.240

10.  Correcting time-intensity curves in dynamic contrast-enhanced breast MRI for inhomogeneous excitation fields at 7T.

Authors:  Michael J van Rijssel; Josien P W Pluim; Hui-Shan M Chan; Lieke van den Wildenberg; Alexander M Th Schmitz; Peter R Luijten; Kenneth G A Gilhuijs; Dennis W J Klomp
Journal:  Magn Reson Med       Date:  2019-12-27       Impact factor: 4.668

  10 in total

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