Literature DB >> 21673817

Current Status and New Developments in Breast MRI.

Katja C Siegmann1, Bernhard Krämer, Claus Claussen.   

Abstract

SUMMARY: Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for the detection of breast cancer. Its specificity is equivalent to that of mammography. Nowadays, breast MRI is an absolutely essential breast imaging method. Technical innovations allow dynamic contrast-enhanced (DCE) MRI of both breasts with high image quality. Thereby, DCE breast MRI should always be performed with regard to current standards. New quantitative techniques such as diffusion-weighted MRI are promising. However, they still have potential pitfalls, in particular with regard to the diagnosis of non-mass lesions and small breast lesions. Ongoing technical innovations can possibly help to further optimize breast MRI.

Entities:  

Year:  2011        PMID: 21673817      PMCID: PMC3104897          DOI: 10.1159/000328273

Source DB:  PubMed          Journal:  Breast Care (Basel)        ISSN: 1661-3791            Impact factor:   2.860


  63 in total

1.  Quantitative diffusion imaging in breast cancer: a clinical prospective study.

Authors:  Erika Rubesova; Anne-Sophie Grell; Viviane De Maertelaer; Thierry Metens; Shih-Li Chao; Marc Lemort
Journal:  J Magn Reson Imaging       Date:  2006-08       Impact factor: 4.813

2.  Sensitivity and specificity of unenhanced MR mammography (DWI combined with T2-weighted TSE imaging, ueMRM) for the differentiation of mass lesions.

Authors:  Pascal A T Baltzer; Matthias Benndorf; Matthias Dietzel; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2009-11-20       Impact factor: 5.315

3.  Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size.

Authors:  Savannah C Partridge; Christiane D Mullins; Brenda F Kurland; Michael D Allain; Wendy B DeMartini; Peter R Eby; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

4.  Preoperative MRI and surgical management in patients with nonpalpable breast cancer: the MONET - randomised controlled trial.

Authors:  N H G M Peters; S van Esser; M A A J van den Bosch; R K Storm; P W Plaisier; T van Dalen; S C E Diepstraten; T Weits; P J Westenend; G Stapper; M A Fernandez-Gallardo; I H M Borel Rinkes; R van Hillegersberg; W P Th M Mali; P H M Peeters
Journal:  Eur J Cancer       Date:  2010-12-30       Impact factor: 9.162

5.  Breast MRI as an adjunct to mammography: Does it really suffer from low specificity? A retrospective analysis stratified by mammographic BI-RADS classes.

Authors:  Matthias Benndorf; Pascal A T Baltzer; Tibor Vag; Mieczyslaw Gajda; Ingo B Runnebaum; Werner A Kaiser
Journal:  Acta Radiol       Date:  2010-09       Impact factor: 1.990

6.  Neoadjuvant chemotherapy of locally advanced breast cancer: predicting response with in vivo (1)H MR spectroscopy--a pilot study at 4 T.

Authors:  Sina Meisamy; Patrick J Bolan; Eva H Baker; Robin L Bliss; Evin Gulbahce; Lenore I Everson; Michael T Nelson; Tim H Emory; Todd M Tuttle; Douglas Yee; Michael Garwood
Journal:  Radiology       Date:  2004-11       Impact factor: 11.105

7.  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

8.  Detecting breast cancer with non-contrast MR imaging: combining diffusion-weighted and STIR imaging.

Authors:  Seiko Kuroki-Suzuki; Yoshifumi Kuroki; Katsuhiro Nasu; Shigeru Nawano; Noriyuki Moriyama; Masatoshi Okazaki
Journal:  Magn Reson Med Sci       Date:  2007       Impact factor: 2.471

9.  Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion.

Authors:  C Marini; C Iacconi; M Giannelli; A Cilotti; M Moretti; C Bartolozzi
Journal:  Eur Radiol       Date:  2007-03-14       Impact factor: 7.034

Review 10.  Imaging in breast cancer: Magnetic resonance spectroscopy.

Authors:  Patrick J Bolan; Michael T Nelson; Douglas Yee; Michael Garwood
Journal:  Breast Cancer Res       Date:  2005-05-12       Impact factor: 6.466

View more
  6 in total

Review 1.  Magnetic resonance elastography (MRE) in cancer: Technique, analysis, and applications.

Authors:  Kay M Pepin; Richard L Ehman; Kiaran P McGee
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2015-06-23       Impact factor: 9.795

2.  Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification.

Authors:  Roberta Fusco; Adele Piccirillo; Mario Sansone; Vincenza Granata; Maria Rosaria Rubulotta; Teresa Petrosino; Maria Luisa Barretta; Paolo Vallone; Raimondo Di Giacomo; Emanuela Esposito; Maurizio Di Bonito; Antonella Petrillo
Journal:  Diagnostics (Basel)       Date:  2021-04-30

3.  Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study.

Authors:  Jennifer Schmitz; Julian Schwab; Johannes Schwenck; Qian Chen; Leticia Quintanilla-Martinez; Markus Hahn; Beate Wietek; Nina Schwenzer; Annette Staebler; Ursula Kohlhofer; Olulanu H Aina; Neil E Hubbard; Gerald Reischl; Alexander D Borowsky; Sara Brucker; Konstantin Nikolaou; Christian la Fougère; Robert D Cardiff; Bernd J Pichler; Andreas M Schmid
Journal:  Cancer Res       Date:  2016-07-27       Impact factor: 12.701

4.  Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization.

Authors:  Akiyoshi Hizukuri; Ryohei Nakayama; Mayumi Nara; Megumi Suzuki; Kiyoshi Namba
Journal:  J Digit Imaging       Date:  2020-11-06       Impact factor: 4.056

Review 5.  Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review.

Authors:  Roberta Fusco; Mario Sansone; Salvatore Filice; Guglielmo Carone; Daniela Maria Amato; Carlo Sansone; Antonella Petrillo
Journal:  J Med Biol Eng       Date:  2016-08-31       Impact factor: 1.553

Review 6.  Understanding indications and defining guidelines for breast magnetic resonance imaging.

Authors:  Peter K Schoub
Journal:  SA J Radiol       Date:  2018-10-30
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.