Literature DB >> 29229179

Clinical role of breast MRI now and going forward.

D Leithner1, G J Wengert2, T H Helbich2, S Thakur3, R E Ochoa-Albiztegui4, E A Morris4, K Pinker5.   

Abstract

Magnetic resonance imaging (MRI) is a well-established method in breast imaging, with manifold clinical applications, including the non-invasive differentiation between benign and malignant breast lesions, preoperative staging, detection of scar versus recurrence, implant assessment, and the evaluation of high-risk patients. At present, dynamic contrast-enhanced MRI is the most sensitive imaging technique for breast cancer diagnosis, and provides excellent morphological and to some extent also functional information. To compensate for the limited functional information, and to increase the specificity of MRI while preserving its sensitivity, additional functional parameters such as diffusion-weighted imaging and apparent diffusion coefficient mapping, and MR spectroscopic imaging have been investigated and implemented into the clinical routine. Several additional MRI parameters to capture breast cancer biology are still under investigation. MRI at high and ultra-high field strength and advances in hard- and software may also further improve this imaging technique. This article will review the current clinical role of breast MRI, including multiparametric MRI and abbreviated protocols, and provide an outlook on the future of this technique. In addition, the predictive and prognostic value of MRI as well as the evolving field of radiogenomics will be discussed.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 29229179      PMCID: PMC6788454          DOI: 10.1016/j.crad.2017.10.021

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  116 in total

1.  Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection-a novel approach to breast cancer screening with MRI.

Authors:  Christiane K Kuhl; Simone Schrading; Kevin Strobel; Hans H Schild; Ralf-Dieter Hilgers; Heribert B Bieling
Journal:  J Clin Oncol       Date:  2014-06-23       Impact factor: 44.544

2.  Abbreviated screening protocol for breast MRI: a feasibility study.

Authors:  Lars J Grimm; Mary S Soo; Sora Yoon; Connie Kim; Sujata V Ghate; Karen S Johnson
Journal:  Acad Radiol       Date:  2015-07-04       Impact factor: 3.173

3.  Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions.

Authors:  K Pinker; H Bickel; T H Helbich; S Gruber; P Dubsky; U Pluschnig; M Rudas; Z Bago-Horvath; M Weber; S Trattnig; W Bogner
Journal:  Eur Radiol       Date:  2013-03-16       Impact factor: 5.315

4.  Tissue sodium concentration in human brain tumors as measured with 23Na MR imaging.

Authors:  Ronald Ouwerkerk; Karen B Bleich; Joseph S Gillen; Martin G Pomper; Paul A Bottomley
Journal:  Radiology       Date:  2003-03-27       Impact factor: 11.105

5.  Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

Authors:  Sang Hee Park; Woo Kyung Moon; Nariya Cho; In Chan Song; Jung Min Chang; In-Ae Park; Wonshik Han; Dong-Young Noh
Journal:  Radiology       Date:  2010-10       Impact factor: 11.105

Review 6.  The potential of multiparametric MRI of the breast.

Authors:  Katja Pinker; Thomas H Helbich; Elizabeth A Morris
Journal:  Br J Radiol       Date:  2016-11-02       Impact factor: 3.039

7.  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

8.  Imaging brain deoxyglucose uptake and metabolism by glucoCEST MRI.

Authors:  Fatima A Nasrallah; Guilhem Pagès; Philip W Kuchel; Xavier Golay; Kai-Hsiang Chuang
Journal:  J Cereb Blood Flow Metab       Date:  2013-05-15       Impact factor: 6.200

9.  Contrast-enhanced MR imaging of the breast at 3.0 and 1.5 T in the same patients: initial experience.

Authors:  Christiane K Kuhl; Petra Jost; Nuschin Morakkabati; Oliver Zivanovic; Hans H Schild; Jürgen Gieseke
Journal:  Radiology       Date:  2006-03-20       Impact factor: 11.105

10.  MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies.

Authors:  Claudio Spick; Katja Pinker-Domenig; Margaretha Rudas; Thomas H Helbich; Pascal A Baltzer
Journal:  Eur Radiol       Date:  2014-04-05       Impact factor: 5.315

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  24 in total

Review 1.  Development of Multispectral Optoacoustic Tomography as a Clinically Translatable Modality for Cancer Imaging.

Authors:  William M MacCuaig; Meredith A Jones; Oshaani Abeyakoon; Lacey R McNally
Journal:  Radiol Imaging Cancer       Date:  2020-11-20

2.  Feasibility of mapping breast cancer with supine breast MRI in patients scheduled for oncoplastic surgery.

Authors:  S Joukainen; A Masarwah; M Könönen; M Husso; A Sutela; V Kärjä; R Vanninen; M Sudah
Journal:  Eur Radiol       Date:  2018-08-17       Impact factor: 5.315

3.  Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting.

Authors:  Kaitlyn Kennard; Olivia Wang; Stephanie Kjelstrom; Sharon Larson; Lina M Sizer; Catherine Carruthers; William B Carter; Robin Ciocca; Jennifer Sabol; Thomas G Frazier; Ned Z Carp
Journal:  Ann Surg Oncol       Date:  2022-07-20       Impact factor: 4.339

4.  A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging.

Authors:  Liuquan Cheng; Xiru Li; Yuting Zhong; Menglu Li; Jingjin Zhu; Boya Zhang; Mei Liu; Zhili Wang; Jiandong Wang; Yiqiong Zheng
Journal:  Quant Imaging Med Surg       Date:  2022-07

5.  Intra- and Peritumoral Radiomics Model Based on Early DCE-MRI for Preoperative Prediction of Molecular Subtypes in Invasive Ductal Breast Carcinoma: A Multitask Machine Learning Study.

Authors:  Shuhai Zhang; Xiaolei Wang; Zhao Yang; Yun Zhu; Nannan Zhao; Yang Li; Jie He; Haitao Sun; Zongyu Xie
Journal:  Front Oncol       Date:  2022-06-24       Impact factor: 5.738

Review 6.  Clinical Artificial Intelligence Applications: Breast Imaging.

Authors:  Qiyuan Hu; Maryellen L Giger
Journal:  Radiol Clin North Am       Date:  2021-11       Impact factor: 1.947

7.  [Differential diagnosis of benign and malignant breast lesions using quantitative synthetic magnetic resonance imaging].

Authors:  Liying Zhang; Xin Zhao; Xing Yin
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2022-04-20

8.  Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging.

Authors:  Qiyuan Hu; Heather M Whitney; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2020-08-24

9.  Kinetic information from dynamic contrast-enhanced MRI enables prediction of residual cancer burden and prognosis in triple-negative breast cancer: a retrospective study.

Authors:  Ayane Yamaguchi; Maya Honda; Hiroshi Ishiguro; Masako Kataoka; Tatsuki R Kataoka; Hanako Shimizu; Masae Torii; Yukiko Mori; Nobuko Kawaguchi-Sakita; Kentaro Ueno; Masahiro Kawashima; Masahiro Takada; Eiji Suzuki; Yuji Nakamoto; Kosuke Kawaguchi; Masakazu Toi
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

10.  Development of MRI Projection Mapping System for Breast-Conserving Surgery in the Operating Room: Preliminary Clinical Results in Invasive Breast Cancer.

Authors:  Maki Amano; Toshiaki Kitabatake; Otoichi Nakata; Yuko Ichikawa; Reiko Inaba; Kazuyuki Ito; Kanako Ogura; Yutaka Ozaki; Kuniaki Kojima; Shigeki Aoki; Ryohei Kuwatsuru
Journal:  Biomed Res Int       Date:  2020-06-29       Impact factor: 3.411

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