Literature DB >> 2296657

Breast disease: tissue characterization with Gd-DTPA enhancement profiles.

J P Stack1, O M Redmond, M B Codd, P A Dervan, J T Ennis.   

Abstract

Magnetic resonance (MR) imaging of the breast is currently of limited value because of lack of specificity. Enhanced MR imaging with gadolinium diethylenetriaminepentaacetic acid (DTPA) has been shown to be helpful in the further characterization of breast tissue. This prospective study attempted to differentiate benign and malignant breast disease with a dynamic enhancement technique. Bolus injection of Gd-DTPA and a short MR imaging time were used to examine 18 patients with a palpable breast mass. Construction of enhancement profiles helped effectively differentiate benign and malignant lesion (P less than .001). Dynamic MR imaging shows promise for the further characterization of breast tissue and, particularly, identification of breast carcinoma.

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Year:  1990        PMID: 2296657     DOI: 10.1148/radiology.174.2.2296657

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


  22 in total

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2.  A data compression method for image time series.

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Authors: 
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6.  A nonrigid registration of MR breast images using complex-valued wavelet transform.

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7.  Fast Temporal Resolution Dynamic Contrast-Enhanced MRI: Histogram Analysis Versus Visual Analysis for Differentiating Benign and Malignant Breast Lesions.

Authors:  Naoko Mori; Federico D Pineda; Keiko Tsuchiya; Shunji Mugikura; Shoki Takahashi; Gregory S Karczmar; Hiroyuki Abe
Journal:  AJR Am J Roentgenol       Date:  2018-07-31       Impact factor: 3.959

8.  Effects of partial volume and phase shift between fat and water in gradient-echo magnetic resonance-mammography.

Authors:  M Peller; M K Stehling; H Sittek; M Kessler; M Reiser
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9.  New modalities in breast imaging: digital mammography and magnetic resonance imaging.

Authors:  M P Braeuning; E D Pisano
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10.  Rapid simultaneous acquisition of T1 and T2 mapping images using multishot double spin-echo EPI and automated variations of TR and TE (ms-DSEPI-T12).

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Journal:  NMR Biomed       Date:  2010-01       Impact factor: 4.044

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