Literature DB >> 31592734

Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

Nita Amornsiripanitch1, Sebastian Bickelhaupt1, Hee Jung Shin1, Madeline Dang1, Habib Rahbar1, Katja Pinker1, Savannah C Partridge1.   

Abstract

Diffusion-weighted (DW) MRI is a rapid technique that measures the mobility of water molecules within tissue, reflecting the cellular microenvironment. At DW MRI, breast cancers typically exhibit reduced diffusivity and appear hyperintense to surrounding tissues. On the basis of this characteristic, DW MRI may offer an unenhanced method to detect breast cancer without the costs and safety concerns associated with dynamic contrast material-enhanced MRI, the current reference standard in the setting of high-risk screening. This application of DW MRI has not been widely explored but is particularly timely given the growing health concerns related to the long-term use of gadolinium-based contrast material. Moreover, increasing breast density notification legislation across the United States is raising awareness of the limitations of mammography in women with dense breasts, emphasizing the need for additional cost-effective supplemental screening examinations. Preliminary studies suggest unenhanced MRI with DW MRI may provide higher sensitivity than screening mammography for the detection of breast malignancies. Larger prospective multicenter trials are needed to validate single-center findings and assess the performance of DW MRI for generalized breast cancer screening. Standardization of DW MRI acquisition and interpretation is essential to ensure reliable sensitivity and specificity, and an optimal approach for screening using readily available techniques is proposed here. © RSNA, 2019.

Entities:  

Year:  2019        PMID: 31592734      PMCID: PMC6884069          DOI: 10.1148/radiol.2019182789

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


  97 in total

1.  Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study.

Authors:  Mami Iima; Denis Le Bihan; Ryosuke Okumura; Tomohisa Okada; Koji Fujimoto; Shotaro Kanao; Shiro Tanaka; Masakazu Fujimoto; Hiromi Sakashita; Kaori Togashi
Journal:  Radiology       Date:  2011-06-01       Impact factor: 11.105

Review 2.  Artifacts and pitfalls in diffusion MRI.

Authors:  Denis Le Bihan; Cyril Poupon; Alexis Amadon; Franck Lethimonnier
Journal:  J Magn Reson Imaging       Date:  2006-09       Impact factor: 4.813

3.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

4.  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

5.  Comparison of readout segmented echo planar imaging (EPI) and EPI with reduced field-of-VIew diffusion-weighted imaging at 3t in patients with breast cancer.

Authors:  Jin Young Park; Hee Jung Shin; Ki Chang Shin; Yu Sub Sung; Woo Jung Choi; Eun Young Chae; Joo Hee Cha; Hak Hee Kim
Journal:  J Magn Reson Imaging       Date:  2015-05-06       Impact factor: 4.813

6.  Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.

Authors:  Sana Parsian; Habib Rahbar; Kimberly H Allison; Wendy B Demartini; Matthew L Olson; Constance D Lehman; Savannah C Partridge
Journal:  Radiology       Date:  2012-10-02       Impact factor: 11.105

7.  Real world performance of screening breast ultrasound following enactment of Connecticut Bill 458.

Authors:  Tchaiko Parris; Dorothy Wakefield; Heather Frimmer
Journal:  Breast J       Date:  2012-12-13       Impact factor: 2.431

8.  Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors.

Authors:  Savannah C Partridge; Ali Ziadloo; Revathi Murthy; Steven W White; Sue Peacock; Peter R Eby; Wendy B DeMartini; Constance D Lehman
Journal:  J Magn Reson Imaging       Date:  2010-02       Impact factor: 4.813

9.  Prognosis after ipsilateral breast tumor recurrence and locoregional recurrences in patients treated by breast-conserving therapy in five National Surgical Adjuvant Breast and Bowel Project protocols of node-negative breast cancer.

Authors:  Stewart J Anderson; Irene Wapnir; James J Dignam; Bernard Fisher; Eleftherios P Mamounas; Jong-Hyeon Jeong; Charles E Geyer; D Lawrence Wickerham; Joseph P Costantino; Norman Wolmark
Journal:  J Clin Oncol       Date:  2009-04-06       Impact factor: 44.544

10.  Abbreviated MRI of the Breast: Does It Provide Value?

Authors:  Doris Leithner; Linda Moy; Elizabeth A Morris; Maria A Marino; Thomas H Helbich; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2018-09-08       Impact factor: 4.813

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  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.  Emerging Techniques Bring Diffusion-weighted Imaging of the Breast into Focus.

Authors:  Savannah C Partridge
Journal:  Radiology       Date:  2020-08-25       Impact factor: 11.105

3.  The emerging role of contrast-enhanced mammography.

Authors:  Andrea Cozzi; Simone Schiaffino; Francesco Sardanelli
Journal:  Quant Imaging Med Surg       Date:  2019-12

4.  Breast density is strongly associated with multiparametric magnetic resonance imaging biomarkers and pro-tumorigenic proteins in situ.

Authors:  Peter Lundberg; Mikael F Forsgren; Jens Tellman; Johan Kihlberg; Anna Rzepecka; Charlotta Dabrosin
Journal:  Br J Cancer       Date:  2022-09-22       Impact factor: 9.075

Review 5.  The Impact of Dense Breasts on the Stage of Breast Cancer at Diagnosis: A Review and Options for Supplemental Screening.

Authors:  Paula B Gordon
Journal:  Curr Oncol       Date:  2022-05-17       Impact factor: 3.109

Review 6.  Screening Algorithms in Dense Breasts: AJR Expert Panel Narrative Review.

Authors:  Wendie A Berg; Elizabeth A Rafferty; Sarah M Friedewald; Carrie B Hruska; Habib Rahbar
Journal:  AJR Am J Roentgenol       Date:  2020-12-23       Impact factor: 3.959

7.  Breast Cancer Conspicuity on Computed Versus Acquired High b-Value Diffusion-Weighted MRI.

Authors:  Michaela R DelPriore; Debosmita Biswas; Daniel S Hippe; Mladen Zecevic; Sana Parsian; John R Scheel; Habib Rahbar; Savannah C Partridge
Journal:  Acad Radiol       Date:  2020-04-16       Impact factor: 5.482

8.  Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI.

Authors:  Ming Ni; Xiaoming Zhou; Jingwei Liu; Haiyang Yu; Yuanxiang Gao; Xuexi Zhang; Zhiming Li
Journal:  BMC Cancer       Date:  2020-11-09       Impact factor: 4.430

Review 9.  Current State of Breast Cancer Diagnosis, Treatment, and Theranostics.

Authors:  Arya Bhushan; Andrea Gonsalves; Jyothi U Menon
Journal:  Pharmaceutics       Date:  2021-05-14       Impact factor: 6.321

10.  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
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