Literature DB >> 22098853

MRI for breast cancer screening, diagnosis, and treatment.

Monica Morrow1, Janet Waters, Elizabeth Morris.   

Abstract

MRI is used widely both for screening women who are at increased risk of breast cancer and for treatment selection. Prospective studies confirm that MRI screening of women with known or suspected genetic mutation results in a higher sensitivity for cancer detection than does mammography. However, survival data are not available. In women with breast cancer, MRI detects cancer not identified with other types of screening. In two randomised trials, this increased sensitivity did not translate into improved selection of surgical treatment or a reduction in the number of operations. Data for longer-term outcomes such as ipsilateral breast tumour recurrence rates and contralateral breast cancer incidence are scarce, but to date do not show clear benefit for MRI. MRI is better than other methods of assessing the response to neoadjuvant chemotherapy, and is helpful in identifying the primary tumour in patients who present with axillary adenopathy.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22098853     DOI: 10.1016/S0140-6736(11)61350-0

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  79 in total

1.  Association between FAS 1377G>A polymorphism and breast cancer susceptibility: a meta-analysis.

Authors:  Kai Li; Wusheng Li; Huawei Zou; Li Zhao
Journal:  Tumour Biol       Date:  2013-08-27

Review 2.  Geographic and temporal trends in the management of occult primary breast cancer: a systematic review and meta-analysis.

Authors:  Oluwadamilola M Fayanju; Carolyn R T Stoll; Susan Fowler; Graham A Colditz; Donna B Jeffe; Julie A Margenthaler
Journal:  Ann Surg Oncol       Date:  2013-08-22       Impact factor: 5.344

3.  Clinical application of bilateral high temporal and spatial resolution dynamic contrast-enhanced magnetic resonance imaging of the breast at 7 T.

Authors:  K Pinker; W Bogner; P Baltzer; S Trattnig; S Gruber; O Abeyakoon; M Bernathova; O Zaric; P Dubsky; Z Bago-Horvath; M Weber; D Leithner; T H Helbich
Journal:  Eur Radiol       Date:  2013-12-05       Impact factor: 5.315

Review 4.  Use of Breast-Specific PET Scanners and Comparison with MR Imaging.

Authors:  Deepa Narayanan; Wendie A Berg
Journal:  Magn Reson Imaging Clin N Am       Date:  2018-05       Impact factor: 2.266

Review 5. 

Authors:  Jeffrey Sisler; Geneviève Chaput; Jonathan Sussman; Emmanuel Ozokwelu
Journal:  Can Fam Physician       Date:  2016-10       Impact factor: 3.275

Review 6.  Follow-up after treatment for breast cancer: Practical guide to survivorship care for family physicians.

Authors:  Jeffrey Sisler; Genevieve Chaput; Jonathan Sussman; Emmanuel Ozokwelu
Journal:  Can Fam Physician       Date:  2016-10       Impact factor: 3.275

Review 7.  Paradigm Shifts in Breast Care Delivery: Impact of Imaging in a Multidisciplinary Environment.

Authors:  Savitri Krishnamurthy; Therese Bevers; Henry M Kuerer; Benjamin Smith; Wei Tse Yang
Journal:  AJR Am J Roentgenol       Date:  2016-12-08       Impact factor: 3.959

8.  FDG-PET/CT and MRI for Evaluation of Pathologic Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer: A Meta-Analysis of Diagnostic Accuracy Studies.

Authors:  Sara Sheikhbahaei; Tyler J Trahan; Jennifer Xiao; Mehdi Taghipour; Esther Mena; Roisin M Connolly; Rathan M Subramaniam
Journal:  Oncologist       Date:  2016-07-08

9.  Bilateral contrast-enhanced dual-energy digital mammography: feasibility and comparison with conventional digital mammography and MR imaging in women with known breast carcinoma.

Authors:  Maxine S Jochelson; D David Dershaw; Janice S Sung; Alexandra S Heerdt; Cynthia Thornton; Chaya S Moskowitz; Jessica Ferrara; Elizabeth A Morris
Journal:  Radiology       Date:  2012-12-06       Impact factor: 11.105

10.  Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.

Authors:  Richard Ha; Simukayi Mutasa; Jenika Karcich; Nishant Gupta; Eduardo Pascual Van Sant; John Nemer; Mary Sun; Peter Chang; Michael Z Liu; Sachin Jambawalikar
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

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