Literature DB >> 28639300

Multiparametric MRI of the breast: A review.

Maria Adele Marino1,2, Thomas Helbich1, Pascal Baltzer1, Katja Pinker-Domenig1,3.   

Abstract

During their development, cancers acquire several functional capabilities, which are defined as the hallmarks of cancer. For a deeper understanding of the hallmarks of cancer, and, consequently, improved personalized patient care, diagnostic tests must be multilayered and complex to identify the relevant underlying processes of cancer development and progression. In this context, magnetic resonance imaging (MRI) has emerged as an exceptionally powerful, versatile, and precise imaging technique. MRI of the breast is an essential tool in breast imaging, with multiple indications. Dynamic contrast-enhanced MRI (CE-MRI) is the most sensitive test for breast cancer detection, with a good specificity. CE-MRI provides mainly morphological, and, to some extent, functional information about tumor perfusion and vascularity. Recently, several functional imaging techniques in MRI, such as diffusion-weighted imaging and spectroscopy, have been assessed for breast imaging and this combined application is defined as multiparametric imaging. Furthermore, the application of higher field strengths (≥3T) has demonstrated improved sensitivity and specificity of breast cancer detection. Multiparametric imaging with different functional MRI parameters (mpMRI) visualizes and quantifies the functional processes of cancer development and progression at multiple levels, and provides specific information about the hallmarks of cancer. MpMRI of the breast improves diagnostic accuracy in breast cancer, obviates unnecessary breast biopsies, and enables an improved assessment and prediction of response to neoadjuvant therapy. This review will provide a comprehensive overview of the current possibilities and emerging techniques for mpMRI of the breast. LEVEL OF EVIDENCE: 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2018;47:301-315.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  breast cancer; diffusion-weighted imaging; functional imaging; magnetic resonance imaging; multiparametric imaging; spectroscopy

Mesh:

Year:  2017        PMID: 28639300     DOI: 10.1002/jmri.25790

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


  35 in total

1.  Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models.

Authors:  Bruna V Jardim-Perassi; Suning Huang; William Dominguez-Viqueira; Jan Poleszczuk; Mikalai M Budzevich; Mahmoud A Abdalah; Smitha R Pillai; Epifanio Ruiz; Marilyn M Bui; Debora A P C Zuccari; Robert J Gillies; Gary V Martinez
Journal:  Cancer Res       Date:  2019-06-11       Impact factor: 12.701

2.  Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL.

Authors:  Wen Li; David C Newitt; Lisa J Wilmes; Ella F Jones; Vignesh Arasu; Jessica Gibbs; Bo La Yun; Elizabeth Li; Savannah C Partridge; John Kornak; Laura J Esserman; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2019-04-26       Impact factor: 4.813

Review 3.  Proton MR spectroscopy in the breast: Technical innovations and clinical applications.

Authors:  Reza Fardanesh; Maria Adele Marino; Daly Avendano; Doris Leithner; Katja Pinker; Sunitha B Thakur
Journal:  J Magn Reson Imaging       Date:  2019-03-07       Impact factor: 4.813

4.  Measuring Glucose Uptake in Primary Invasive Breast Cancer Using Simultaneous Time-of-Flight Breast PET/MRI: A Method Comparison Study with Prone PET/CT.

Authors:  Amy M Fowler; Manoj Kumar; Leah Henze Bancroft; Kelley Salem; Jacob M Johnson; Jillian Karow; Scott B Perlman; Tyler J Bradshaw; Samuel A Hurley; Alan B McMillan; Roberta M Strigel
Journal:  Radiol Imaging Cancer       Date:  2021-01-15

5.  The INTEND 1 randomized controlled trial of duct endoscopy as an indicator of margin excision in breast conservation surgery.

Authors:  Gerald Gui; Effrosyni Panopoulou; Sarah Tang; Dominique Twelves; Mohammed Kabir; Ann Ward; Catherine Montgomery; Ashutosh Nerurkar; Peter Osin; Clare M Isacke
Journal:  Breast Cancer Res Treat       Date:  2021-01-04       Impact factor: 4.872

6.  1H MR Spectroscopy of Fine-Needle Aspiration Biopsy Specimens for the Discrimination of Breast Cancer.

Authors:  Richard A Komoroski; Jing-Huei Lee; Jeffrey A Welge; Jonathan A Dudley; Wen-Jang Chu; Mary C Mahoney
Journal:  Radiol Imaging Cancer       Date:  2020-11-27

7.  Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue.

Authors:  Jiejie Zhou; Yang Zhang; Kai-Ting Chang; Kyoung Eun Lee; Ouchen Wang; Jiance Li; Yezhi Lin; Zhifang Pan; Peter Chang; Daniel Chow; Meihao Wang; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2019-11-01       Impact factor: 4.813

8.  Association of Retrospective Peer Review and Positive Predictive Value of Magnetic Resonance Imaging-Guided Vacuum-Assisted Needle Biopsies of Breast.

Authors:  Ceren Yalnız; Juliana Rosenblat; David Spak; Wei Wei; Marion Scoggins; Carisa Le-Petross; Mark J Dryden; Beatriz Adrada; Başak E Doğan
Journal:  Eur J Breast Health       Date:  2019-10-01

9.  Preoperative Staging in Breast Cancer: Intraindividual Comparison of Unenhanced MRI Combined With Digital Breast Tomosynthesis and Dynamic Contrast Enhanced-MRI.

Authors:  Veronica Rizzo; Giuliana Moffa; Endi Kripa; Claudia Caramanico; Federica Pediconi; Francesca Galati
Journal:  Front Oncol       Date:  2021-05-04       Impact factor: 6.244

Review 10.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

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