Literature DB >> 19631485

Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort.

Catherine Klifa1, Julio Carballido-Gamio, Lisa Wilmes, Anne Laprie, John Shepherd, Jessica Gibbs, Bo Fan, Susan Noworolski, Nola Hylton.   

Abstract

A quantitative measure of three-dimensional breast density derived from noncontrast magnetic resonance imaging (MRI) was investigated in 35 women at high-risk for breast cancer. A semiautomatic segmentation tool was used to quantify the total volume of the breast and to separate volumes of fibroglandular and adipose tissue in noncontrast MRI data. The MRI density measure was defined as the ratio of breast fibroglandular volume over total volume of the breast. The overall correlation between MRI and mammographic density measures was R(2)=.67. However the MRI/mammography density correlation was higher in patients with lower breast density (R(2)=.73) than in patients with higher breast density (R(2)=.26). Women with mammographic density higher than 25% exhibited very different magnetic resonance density measures spread over a broad range of values. These results suggest that MRI may provide a volumetric measure more representative of breast composition than mammography, particularly in groups of women with dense breasts. Magnetic resonance imaging density could potentially be quantified and used for a better assessment of breast cancer risk in these populations.

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Year:  2009        PMID: 19631485      PMCID: PMC4087111          DOI: 10.1016/j.mri.2009.05.040

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  27 in total

1.  Volumetric breast density estimation from full-field digital mammograms.

Authors:  Saskia van Engeland; Peter R Snoeren; Henkjan Huisman; Carla Boetes; Nico Karssemeijer
Journal:  IEEE Trans Med Imaging       Date:  2006-03       Impact factor: 10.048

2.  Region-based contrast enhancement of mammograms.

Authors:  W M Morrow; R B Paranjape; R M Rangayyan; J L Desautels
Journal:  IEEE Trans Med Imaging       Date:  1992       Impact factor: 10.048

Review 3.  Analysis of mammographic density and breast cancer risk from digitized mammograms.

Authors:  J W Byng; M J Yaffe; R A Jong; R S Shumak; G A Lockwood; D L Tritchler; N F Boyd
Journal:  Radiographics       Date:  1998 Nov-Dec       Impact factor: 5.333

4.  Breast patterns as an index of risk for developing breast cancer.

Authors:  J N Wolfe
Journal:  AJR Am J Roentgenol       Date:  1976-06       Impact factor: 3.959

5.  Accuracy of MR imaging for revealing residual breast cancer in patients who have undergone neoadjuvant chemotherapy.

Authors:  Savannah C Partridge; Jessica E Gibbs; Ying Lu; Laura J Esserman; Dan Sudilovsky; Nola M Hylton
Journal:  AJR Am J Roentgenol       Date:  2002-11       Impact factor: 3.959

6.  High-risk screening: multi-modality surveillance of women at high risk for breast cancer (proven or suspected carriers of a breast cancer susceptibility gene).

Authors:  C K Kuhl
Journal:  J Exp Clin Cancer Res       Date:  2002-09

7.  Effects at two years of a low-fat, high-carbohydrate diet on radiologic features of the breast: results from a randomized trial. Canadian Diet and Breast Cancer Prevention Study Group.

Authors:  N F Boyd; C Greenberg; G Lockwood; L Little; L Martin; J Byng; M Yaffe; D Tritchler
Journal:  J Natl Cancer Inst       Date:  1997-04-02       Impact factor: 13.506

8.  A pilot study of compositional analysis of the breast and estimation of breast mammographic density using three-dimensional T1-weighted magnetic resonance imaging.

Authors:  Michael Khazen; Ruth M L Warren; Caroline R M Boggis; Emilie C Bryant; Sadie Reed; Iqbal Warsi; Linda J Pointon; Gek E Kwan-Lim; Deborah Thompson; Ros Eeles; Doug Easton; D Gareth Evans; Martin O Leach
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-09       Impact factor: 4.254

Review 9.  Review of MR image segmentation techniques using pattern recognition.

Authors:  J C Bezdek; L O Hall; L P Clarke
Journal:  Med Phys       Date:  1993 Jul-Aug       Impact factor: 4.071

10.  Comparison of a new and existing method of mammographic density measurement: intramethod reliability and associations with known risk factors.

Authors:  Valerie A McCormack; Ralph Highnam; Nicholas Perry; Isabel dos Santos Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-06       Impact factor: 4.254

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  54 in total

1.  Comparison of breast density measured on MR images acquired using fat-suppressed versus nonfat-suppressed sequences.

Authors:  Daniel H-E Chang; Jeon-Hor Chen; Muqing Lin; Shadfar Bahri; Hon J Yu; Rita S Mehta; Ke Nie; David J B Hsiang; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

2.  Adolescent diet and subsequent serum hormones, breast density, and bone mineral density in young women: results of the Dietary Intervention Study in Children follow-up study.

Authors:  Joanne F Dorgan; Lea Liu; Catherine Klifa; Nola Hylton; John A Shepherd; Frank Z Stanczyk; Linda G Snetselaar; Linda Van Horn; Victor J Stevens; Alan Robson; Peter O Kwiterovich; Norman L Lasser; John H Himes; Kelley Pettee Gabriel; Andrea Kriska; Elizabeth H Ruder; Carolyn Y Fang; Bruce A Barton
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05-25       Impact factor: 4.254

3.  Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.

Authors:  Shandong Wu; Susan P Weinstein; Emily F Conant; Despina Kontos
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

4.  Breast density quantification using magnetic resonance imaging (MRI) with bias field correction: a postmortem study.

Authors:  Huanjun Ding; Travis Johnson; Muqing Lin; Huy Q Le; Justin L Ducote; Min-Ying Su; Sabee Molloi
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

5.  Mammographic density, MRI background parenchymal enhancement and breast cancer risk.

Authors:  M C Pike; C L Pearce
Journal:  Ann Oncol       Date:  2013-11       Impact factor: 32.976

6.  Consistency of breast density measured from the same women in four different MR scanners.

Authors:  Jeon-Hor Chen; Siwa Chan; Yi-Jui Liu; Dah-Cherng Yeh; Chih-Kai Chang; Li-Kuang Chen; Wei-Fan Pan; Chih-Chen Kuo; Muqing Lin; Daniel H E Chang; Peter T Fwu; Min-Ying Su
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

7.  Breast density estimation from high spectral and spatial resolution MRI.

Authors:  Hui Li; William A Weiss; Milica Medved; Hiroyuki Abe; Gillian M Newstead; Gregory S Karczmar; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-28

8.  A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI.

Authors:  Muqing Lin; Siwa Chan; Jeon-Hor Chen; Daniel Chang; Ke Nie; Shih-Ting Chen; Cheng-Ju Lin; Tzu-Ching Shih; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

9.  Comparative study of density analysis using automated whole breast ultrasound and MRI.

Authors:  Woo Kyung Moon; Yi-Wei Shen; Chiun-Sheng Huang; Sheng-Chy Luo; Aida Kuzucan; Jeon-Hor Chen; Ruey-Feng Chang
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

10.  Impact of positional difference on the measurement of breast density using MRI.

Authors:  Jeon-Hor Chen; Siwa Chan; Yi-Ting Tang; Jia Shen Hon; Po-Chuan Tseng; Angela T Cheriyan; Nikita Rakesh Shah; Dah-Cherng Yeh; San-Kan Lee; Wen-Pin Chen; Christine E McLaren; Min-Ying Su
Journal:  Med Phys       Date:  2015-05       Impact factor: 4.071

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