Literature DB >> 24772216

Repeatability of quantitative MRI measurements in normal breast tissue.

Sheye O Aliu1, Ella F Jones1, Ania Azziz1, John Kornak2, Lisa J Wilmes1, David C Newitt1, Sachiko A Suzuki1, Catherine Klifa1, Jessica Gibbs1, Evelyn C Proctor1, Bonnie N Joe1, Nola M Hylton1.   

Abstract

PURPOSE: To evaluate the variability and repeatability of repeated magnetic resonance imaging (MRI) measurements in normal breast tissues between and within subjects.
METHODS: Eighteen normal premenopausal subjects underwent two contrast-enhanced MRI scans within 72 hours or during the same menstrual phase in two consecutive months. A subset of nine women also completed diffusion-weighted imaging (DWI). Fibroglandular tissue (FGT) density and FGT enhancement were measured on the contrast-enhanced MRI. Apparent diffusion coefficient (ADC) values were computed from DWI. Between- and within-subject coefficients of variation (bCV and wCV, respectively) were assessed. Repeatability of all measurements was assessed by the coefficient of repeatability (CR) and Bland-Altman plots.
RESULTS: The bCV of FGT density and FGT enhancement at visit 1 and visit 2 ranged from 47% to 63%. The wCV was 13% for FGT density, 22% for FGT enhancement, and 11% for ADC. The CRs of FGT density and FGT enhancement were 0.15 and 0.19, respectively, and for ADC, it was 6.1 x 10(-4) mm(2)/s.
CONCLUSIONS: We present an estimate of the variability and repeatability of MR measurements in normal breasts. These estimates provide the basis for understanding the normal variation of healthy breast tissue in MRI and establishing thresholds for agreement between measurements.

Entities:  

Year:  2014        PMID: 24772216      PMCID: PMC3998684          DOI: 10.1593/tlo.13841

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


  32 in total

1.  In vivo diffusion-weighted MRI of the breast: potential for lesion characterization.

Authors:  Shantanu Sinha; Flora Anne Lucas-Quesada; Usha Sinha; Nanette DeBruhl; Lawrence W Bassett
Journal:  J Magn Reson Imaging       Date:  2002-06       Impact factor: 4.813

2.  Longitudinal and repeated cross-sectional cluster-randomization designs using mixed effects regression for binary outcomes: bias and coverage of frequentist and Bayesian methods.

Authors:  A Russell Localio; Jesse A Berlin; Thomas R Ten Have
Journal:  Stat Med       Date:  2006-08-30       Impact factor: 2.373

Review 3.  Mammographic densities and breast cancer risk.

Authors:  N F Boyd; G A Lockwood; J W Byng; D L Tritchler; M J Yaffe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1998-12       Impact factor: 4.254

4.  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

Review 5.  Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions.

Authors:  S H Heywang-Köbrunner; P Viehweg; A Heinig; C Küchler
Journal:  Eur J Radiol       Date:  1997-02       Impact factor: 3.528

Review 6.  Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer.

Authors:  Ellen Warner; Hans Messersmith; Petrina Causer; Andrea Eisen; Rene Shumak; Donald Plewes
Journal:  Ann Intern Med       Date:  2008-05-06       Impact factor: 25.391

Review 7.  Breast MRI for cancer detection and characterization: a review of evidence-based clinical applications.

Authors:  Wendy DeMartini; Constance Lehman; Savannah Partridge
Journal:  Acad Radiol       Date:  2008-04       Impact factor: 3.173

8.  Temporal sampling requirements for the tracer kinetics modeling of breast disease.

Authors:  E Henderson; B K Rutt; T Y Lee
Journal:  Magn Reson Imaging       Date:  1998-11       Impact factor: 2.546

9.  Volumetric breast density evaluation from ultrasound tomography images.

Authors:  Carri K Glide-Hurst; Neb Duric; Peter Littrup
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

Review 10.  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

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  9 in total

1.  Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue.

Authors:  Ananya Panda; Yong Chen; Kathleen Ropella-Panagis; Satyam Ghodasara; Marcie Stopchinski; Nicole Seyfried; Katherine Wright; Nicole Seiberlich; Mark Griswold; Vikas Gulani
Journal:  J Magn Reson Imaging       Date:  2019-03-20       Impact factor: 4.813

2.  Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial.

Authors:  David C Newitt; Zheng Zhang; Jessica E Gibbs; Savannah C Partridge; Thomas L Chenevert; Mark A Rosen; Patrick J Bolan; Helga S Marques; Sheye Aliu; Wen Li; Lisa Cimino; Bonnie N Joe; Heidi Umphrey; Haydee Ojeda-Fournier; Basak Dogan; Karen Oh; Hiroyuki Abe; Jennifer Drukteinis; Laura J Esserman; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2018-10-22       Impact factor: 4.813

3.  Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.

Authors:  Anna G Sorace; Chengyue Wu; Stephanie L Barnes; Angela M Jarrett; Sarah Avery; Debra Patt; Boone Goodgame; Jeffery J Luci; Hakmook Kang; Richard G Abramson; Thomas E Yankeelov; John Virostko
Journal:  J Magn Reson Imaging       Date:  2018-03-23       Impact factor: 4.813

4.  Variability of non-Gaussian diffusion MRI and intravoxel incoherent motion (IVIM) measurements in the breast.

Authors:  Mami Iima; Masako Kataoka; Shotaro Kanao; Makiko Kawai; Natsuko Onishi; Sho Koyasu; Katsutoshi Murata; Akane Ohashi; Rena Sakaguchi; Kaori Togashi
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

5.  Evaluation of primary breast cancers using dedicated breast PET and whole-body PET.

Authors:  Deep K Hathi; Wen Li; Youngho Seo; Robert R Flavell; John Kornak; Benjamin L Franc; Bonnie N Joe; Laura J Esserman; Nola M Hylton; Ella F Jones
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

6.  Harmonization of Quantitative Parenchymal Enhancement in T1 -Weighted Breast MRI.

Authors:  Bas H M van der Velden; Michael J van Rijssel; Beatrice Lena; Marielle E P Philippens; Claudette E Loo; Max A A Ragusi; Sjoerd G Elias; Elizabeth J Sutton; Elizabeth A Morris; Lambertus W Bartels; Kenneth G A Gilhuijs
Journal:  J Magn Reson Imaging       Date:  2020-06-03       Impact factor: 4.813

7.  Comparison of Dixon Sequences for Estimation of Percent Breast Fibroglandular Tissue.

Authors:  Araminta E W Ledger; Erica D Scurr; Julie Hughes; Alison Macdonald; Toni Wallace; Karen Thomas; Robin Wilson; Martin O Leach; Maria A Schmidt
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

8.  Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network.

Authors:  David C Newitt; Dariya Malyarenko; Thomas L Chenevert; C Chad Quarles; Laura Bell; Andriy Fedorov; Fiona Fennessy; Michael A Jacobs; Meiyappan Solaiyappan; Stefanie Hectors; Bachir Taouli; Mark Muzi; Paul E Kinahan; Kathleen M Schmainda; Melissa A Prah; Erin N Taber; Christopher Kroenke; Wei Huang; Lori R Arlinghaus; Thomas E Yankeelov; Yue Cao; Madhava Aryal; Yi-Fen Yen; Jayashree Kalpathy-Cramer; Amita Shukla-Dave; Maggie Fung; Jiachao Liang; Michael Boss; Nola Hylton
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-10

9.  Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial.

Authors:  David C Newitt; Ghoncheh Amouzandeh; Savannah C Partridge; Helga S Marques; Benjamin A Herman; Brian D Ross; Nola M Hylton; Thomas L Chenevert; Dariya I Malyarenko
Journal:  Tomography       Date:  2020-06
  9 in total

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