Literature DB >> 25979021

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

Jeon-Hor Chen1, Siwa Chan2, Yi-Ting Tang3, Jia Shen Hon3, Po-Chuan Tseng4, Angela T Cheriyan4, Nikita Rakesh Shah4, Dah-Cherng Yeh5, San-Kan Lee2, Wen-Pin Chen6, Christine E McLaren6, Min-Ying Su4.   

Abstract

PURPOSE: This study investigated the impact of arms/hands and body position on the measurement of breast density using MRI.
METHODS: Noncontrast-enhanced T1-weighted images were acquired from 32 healthy women. Each subject received four MR scans using different experimental settings, including a high resolution hands-up, a low resolution hands-up, a high resolution hands-down, and finally, another high resolution hands-up after repositioning. The breast segmentation was performed using a fully automatic chest template-based method. The breast volume (BV), fibroglandular tissue volume (FV), and percent density (PD) measured from the four MR scan settings were analyzed.
RESULTS: A high correlation of BV, FV, and PD between any pair of the four MR scans was noted (r > 0.98 for all). Using the generalized estimating equation method, a statistically significant difference in mean BV among four settings was noted (left breast, score test p = 0.0056; right breast, score test p = 0.0016), adjusted for age and body mass index. Despite differences in BV, there were no statistically significant differences in the mean PDs among the four settings (p > 0.10 for left and right breasts). Using Bland-Altman plots, the smallest mean difference/bias and standard deviations for BV, FV, and PD were noted when comparing hands-up high vs low resolution when the breast positions were exactly the same.
CONCLUSIONS: The authors' study showed that BV, FV, and PD measurements from MRI of different positions were highly correlated. BV may vary with positions but the measured PD did not differ significantly between positions. The study suggested that the percent density analyzed from MRI studies acquired using different arms/hands and body positions from multiple centers can be combined for analysis.

Entities:  

Mesh:

Year:  2015        PMID: 25979021      PMCID: PMC4401799          DOI: 10.1118/1.4917083

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  32 in total

1.  Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images.

Authors:  Jun Wei; Heang-Ping Chan; Mark A Helvie; Marilyn A Roubidoux; Berkman Sahiner; Lubomir M Hadjiiski; Chuan Zhou; Sophie Paquerault; Thomas Chenevert; Mitchell M Goodsitt
Journal:  Med Phys       Date:  2004-04       Impact factor: 4.071

2.  Automatic segmentation of whole breast using atlas approach and deformable image registration.

Authors:  Valerie K Reed; Wendy A Woodward; Lifei Zhang; Eric A Strom; George H Perkins; Welela Tereffe; Julia L Oh; T Kuan Yu; Isabelle Bedrosian; Gary J Whitman; Thomas A Buchholz; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-09-17       Impact factor: 7.038

3.  Breast density analysis for whole breast ultrasound images.

Authors:  Jeon-Hor Chen; Chiun-Sheng Huang; Kuang-Che Chang Chien; Etsuo Takada; Woo Kyung Moon; Jeffery H K Wu; Nariya Cho; Yi-Fa Wang; Ruey-Feng Chang
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

4.  Mammographic breast density and family history of breast cancer.

Authors:  Elad Ziv; John Shepherd; Rebecca Smith-Bindman; Karla Kerlikowske
Journal:  J Natl Cancer Inst       Date:  2003-04-02       Impact factor: 13.506

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

6.  Breast density measurements with ultrasound tomography: a comparison with film and digital mammography.

Authors:  Neb Duric; Norman Boyd; Peter Littrup; Mark Sak; Lukasz Myc; Cuiping Li; Erik West; Sal Minkin; Lisa Martin; Martin Yaffe; Steven Schmidt; Muhammad Faiz; Jason Shen; Olga Melnichouk; Qing Li; Teri Albrecht
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

7.  Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.

Authors:  Ke Nie; Jeon-Hor Chen; Siwa Chan; Man-Kwun I Chau; Hon J Yu; Shadfar Bahri; Tiffany Tseng; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  Heritability of mammographic density, a risk factor for breast cancer.

Authors:  Norman F Boyd; Gillian S Dite; Jennifer Stone; Anoma Gunasekara; Dallas R English; Margaret R E McCredie; Graham G Giles; David Tritchler; Anna Chiarelli; Martin J Yaffe; John L Hopper
Journal:  N Engl J Med       Date:  2002-09-19       Impact factor: 91.245

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

Authors:  Catherine Klifa; Julio Carballido-Gamio; Lisa Wilmes; Anne Laprie; John Shepherd; Jessica Gibbs; Bo Fan; Susan Noworolski; Nola Hylton
Journal:  Magn Reson Imaging       Date:  2009-07-23       Impact factor: 2.546

10.  Assessing the usefulness of a novel MRI-based breast density estimation algorithm in a cohort of women at high genetic risk of breast cancer: the UK MARIBS study.

Authors:  Deborah J Thompson; Martin O Leach; Gek Kwan-Lim; Simon A Gayther; Susan J Ramus; Iqbal Warsi; Fiona Lennard; Michael Khazen; Emilie Bryant; Sadie Reed; Caroline R M Boggis; D Gareth Evans; Rosalind A Eeles; Douglas F Easton; Ruth M L Warren
Journal:  Breast Cancer Res       Date:  2009-11-11       Impact factor: 6.466

View more
  3 in total

1.  Association between breast cancer, breast density, and body adiposity evaluated by MRI.

Authors:  Wenlian Zhu; Peng Huang; Katarzyna J Macura; Dmitri Artemov
Journal:  Eur Radiol       Date:  2015-10-21       Impact factor: 5.315

2.  Intravenous Line Phase-Wrap Artifact at Bilateral Axial 3-T Breast MRI: Identification, Analysis, and Solution.

Authors:  Einat Slonimsky; Yusef Azraq; John M Gomori; Susan Fisch; Tal Arazi Kleinman; Tamar Sella
Journal:  Radiol Imaging Cancer       Date:  2020-11-06

3.  Proton density water fraction as a reproducible MR-based measurement of breast density.

Authors:  Leah C Henze Bancroft; Roberta M Strigel; Erin B Macdonald; Colin Longhurst; Jacob Johnson; Diego Hernando; Scott B Reeder
Journal:  Magn Reson Med       Date:  2021-11-14       Impact factor: 4.668

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.