Literature DB >> 16164923

Magnetic resonance imaging as a diagnostic tool for breast cancer in premenopausal women.

Heather Wright1, Jay Listinsky, Alice Rim, Melanie Chellman-Jeffers, Rebecca Patrick, Lisa Rybicki, Julian Kim, Joseph Crowe.   

Abstract

BACKGROUND: Screening mammography has led to earlier diagnosis of breast cancer; however, the increased tissue density of young women can complicate mammographic interpretation. We hypothesized that magnetic resonance imaging (MRI) has value in detection of mammographically occult breast cancers, particularly in premenopausal women for whom the sensitivity of mammography is compromised.
METHODS: Data were available for 89 women with biopsy-proven breast cancer who had undergone both mammography and breast MRI. Variables evaluated included menopausal status and radiographic findings. Data were analyzed using Fisher's Exact test; P < .05 was considered significant.
RESULTS: Of the 89 women in our study, 69 were perimenopausal or postmenopausal and 20 were premenopausal at the time of diagnosis. The malignant lesion was identified on mammography and MRI for a majority of patients. One third of premenopausal women had negative mammography but positive MRI findings.
CONCLUSIONS: Our findings support a role for breast MRI in supplementing conventional mammography for early detection of breast cancer in premenopausal women.

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Year:  2005        PMID: 16164923     DOI: 10.1016/j.amjsurg.2005.06.014

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  10 in total

1.  Evaluation of novel genetic algorithm generated schemes for positron emission tomography (PET)/magnetic resonance imaging (MRI) image fusion.

Authors:  K G Baum; E Schmidt; K Rafferty; A Krol; María Helguera
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

2.  Thermography based breast cancer detection using texture features and Support Vector Machine.

Authors:  U Rajendra Acharya; E Y K Ng; Jen-Hong Tan; S Vinitha Sree
Journal:  J Med Syst       Date:  2010-10-19       Impact factor: 4.460

3.  Diagnostic accuracy of fused positron emission tomography/magnetic resonance mammography: initial results.

Authors:  T A Heusner; S Hahn; C Jonkmanns; S Kuemmel; F Otterbach; M E Hamami; A R Stahl; A Bockisch; M Forsting; G Antoch
Journal:  Br J Radiol       Date:  2010-10-19       Impact factor: 3.039

Review 4.  Breast cancer screening: review of benefits and harms, and recommendations for developing and low-income countries.

Authors:  Meteb Al-Foheidi; Mubarak M Al-Mansour; Ezzeldin M Ibrahim
Journal:  Med Oncol       Date:  2013-02-19       Impact factor: 3.064

5.  Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm.

Authors:  Lee-Jane W Lu; Thomas K Nishino; Raleigh F Johnson; Fatima Nayeem; Donald G Brunder; Hyunsu Ju; Morton H Leonard; James J Grady; Tuenchit Khamapirad
Journal:  Phys Med Biol       Date:  2012-10-09       Impact factor: 3.609

6.  Comparative study on the use of analytical software to identify the different stages of breast cancer using discrete temperature data.

Authors:  Joanna M Y Tan; E Y K Ng; Rajendra U Acharya; Louis G Keith; Jim Holmes
Journal:  J Med Syst       Date:  2009-04       Impact factor: 4.460

7.  A prospective study of the utility of magnetic resonance imaging in determining candidacy for partial breast irradiation.

Authors:  Paige L Dorn; Hania A Al-Hallaq; Farah Haq; Mira Goldberg; Hiroyuki Abe; Yasmin Hasan; Steven J Chmura
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-07-24       Impact factor: 7.038

8.  Automatic outer and inner breast tissue segmentation using multi-parametric MRI images of breast tumor patients.

Authors:  Snekha Thakran; Subhajit Chatterjee; Meenakshi Singhal; Rakesh Kumar Gupta; Anup Singh
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

9.  The potential role of dynamic thermal analysis in breast cancer detection.

Authors:  M Salhab; L G Keith; M Laguens; W Reeves; K Mokbel
Journal:  Int Semin Surg Oncol       Date:  2006-04-03

10.  A Retrospective Study Evaluating the Impact of Preoperative Breast MRI on Surgical Decision-Making in Young Patients (≤50 Years) with Invasive Breast Cancer.

Authors:  Som D Mukherjee; Nicole Hodgson; Peter J Lovrics; Kavita Dhamanaskar; Terry Minuk; Shelley Chambers; Jonathan Sussman
Journal:  Breast Cancer (Auckl)       Date:  2016-05-17
  10 in total

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