Literature DB >> 31520518

Diffusion MRI of the breast: Current status and future directions.

Mami Iima1,2, Maya Honda1, Eric E Sigmund3,4, Ayami Ohno Kishimoto1, Masako Kataoka1, Kaori Togashi1.   

Abstract

Diffusion-weighted imaging (DWI) is increasingly being incorporated into routine breast MRI protocols in many institutions worldwide, and there are abundant breast DWI indications ranging from lesion detection and distinguishing malignant from benign tumors to assessing prognostic biomarkers of breast cancer and predicting treatment response. DWI has the potential to serve as a noncontrast MR screening method. Beyond apparent diffusion coefficient (ADC) mapping, which is a commonly used quantitative DWI measure, advanced DWI models such as intravoxel incoherent motion (IVIM), non-Gaussian diffusion MRI, and diffusion tensor imaging (DTI) are extensively exploited in this field, allowing the characterization of tissue perfusion and architecture and improving diagnostic accuracy without the use of contrast agents. This review will give a summary of the clinical literature along with future directions. Level of Evidence: 5 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;52:70-90.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  ADC; breast diffusion-weighted MRI; diffusion tensor imaging; diffusion time; intravoxel incoherent motion; non-Gaussian diffusion

Mesh:

Year:  2019        PMID: 31520518     DOI: 10.1002/jmri.26908

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


  28 in total

1.  Breast cancer screening: in the era of personalized medicine, age is just a number.

Authors:  Andrea Cozzi; Simone Schiaffino; Paolo Giorgi Rossi; Francesco Sardanelli
Journal:  Quant Imaging Med Surg       Date:  2020-12

2.  Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2021-06

3.  Subcategory classifications of Breast Imaging and Data System (BI-RADS) category 4 lesions on MRI.

Authors:  Maya Honda; Masako Kataoka; Kosuke Kawaguchi; Mami Iima; Kanae Kawai Miyake; Ayami Ohno Kishimoto; Rie Ota; Akane Ohashi; Masakazu Toi; Yuji Nakamoto
Journal:  Jpn J Radiol       Date:  2020-09-01       Impact factor: 2.374

Review 4.  Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI.

Authors:  Mami Iima; Savannah C Partridge; Denis Le Bihan
Journal:  Eur Radiol       Date:  2020-01-21       Impact factor: 5.315

5.  Contribution of Diffusion-Weighted Imaging and ADC Values to Papillary Breast Lesions.

Authors:  Wenjie Lv; Dawen Zheng; Wenbin Guan; Ping Wu
Journal:  Front Oncol       Date:  2022-06-30       Impact factor: 5.738

6.  High-background parenchymal enhancement in the contralateral breast is an imaging biomarker for favorable prognosis in patients with triple-negative breast cancer treated with chemotherapy.

Authors:  Chuanhui Xu; Jinhui Yu; Feifei Wu; Xuemei Li; Dongmin Hu; Guiming Chen; Gang Wu
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

7.  A Comparison of Methods for High-Spatial-Resolution Diffusion-weighted Imaging in Breast MRI.

Authors:  Jessica A McKay; An L Church; Nathan Rubin; Tim H Emory; Noelle F Hoven; Jessica E Kuehn-Hajder; Michael T Nelson; Sudhir Ramanna; Edward J Auerbach; Steen Moeller; Patrick J Bolan
Journal:  Radiology       Date:  2020-08-25       Impact factor: 11.105

8.  Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI.

Authors:  Ji Young Lee; Kwang-Sig Lee; Bo Kyoung Seo; Kyu Ran Cho; Ok Hee Woo; Sung Eun Song; Eun-Kyung Kim; Hye Yoon Lee; Jung Sun Kim; Jaehyung Cha
Journal:  Eur Radiol       Date:  2021-07-05       Impact factor: 5.315

9.  Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis.

Authors:  Isaac Daimiel Naranjo; Peter Gibbs; Jeffrey S Reiner; Roberto Lo Gullo; Caleb Sooknanan; Sunitha B Thakur; Maxine S Jochelson; Varadan Sevilimedu; Elizabeth A Morris; Pascal A T Baltzer; Thomas H Helbich; Katja Pinker
Journal:  Diagnostics (Basel)       Date:  2021-05-21

Review 10.  Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Authors:  Mami Iima
Journal:  Magn Reson Med Sci       Date:  2020-06-15       Impact factor: 2.471

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