Literature DB >> 29570895

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

Anna G Sorace1,2,3, Chengyue Wu3, Stephanie L Barnes3,4, Angela M Jarrett4, Sarah Avery5, Debra Patt6, Boone Goodgame7,8, Jeffery J Luci3,9, Hakmook Kang10, Richard G Abramson11, Thomas E Yankeelov1,2,3,4, John Virostko1,2.   

Abstract

BACKGROUND: Quantitative diffusion-weighted MRI (DW-MRI) and dynamic contrast-enhanced MRI (DCE-MRI) have the potential to impact patient care by providing noninvasive biological information in breast cancer. PURPOSE/HYPOTHESIS: To quantify the repeatability, reproducibility, and accuracy of apparent diffusion coefficient (ADC) and T1 -mapping of the breast in community radiology practices. STUDY TYPE: Prospective. SUBJECTS/PHANTOM: Ice-water DW-MRI and T1 gel phantoms were used to assess accuracy. Normal subjects (n = 3) and phantoms across three sites (one academic, two community) were used to assess reproducibility. Test-retest analysis at one site in normal subjects (n = 12) was used to assess repeatability. FIELD STRENGTH/SEQUENCE: 3T Siemens Skyra MRI quantitative DW-MRI and T1 -mapping. ASSESSMENT: Quantitative DW-MRI and T1 -mapping parametric maps of phantoms and fibroglandular and adipose tissue of the breast. STATISTICAL TESTS: Average values of breast tissue were quantified and Bland-Altman analysis was performed to assess the repeatability of the MRI techniques, while the Friedman test assessed reproducibility.
RESULTS: ADC measurements were reproducible across sites, with an average difference of 1.6% in an ice-water phantom and 7.0% in breast fibroglandular tissue. T1 measurements in gel phantoms had an average difference of 2.8% across three sites, whereas breast fibroglandular and adipose tissue had 8.4% and 7.5% average differences, respectively. In the repeatability study, we found no bias between first and second scanning sessions (P = 0.1). The difference between repeated measurements was independent of the mean for each MRI metric (P = 0.156, P = 0.862, P = 0.197 for ADC, T1 of fibroglandular tissue, and T1 of adipose tissue, respectively). DATA
CONCLUSION: Community radiology practices can perform repeatable, reproducible, and accurate quantitative T1 -mapping and DW-MRI. This has the potential to dramatically expand the number of sites that can participate in multisite clinical trials and increase clinical translation of quantitative MRI techniques for cancer response assessment. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  T1-mapping; breast cancer; diffusion-weighted MRI; dynamic contrast-enhanced MRI

Year:  2018        PMID: 29570895      PMCID: PMC6151298          DOI: 10.1002/jmri.26011

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  37 in total

Review 1.  Measuring agreement in method comparison studies.

Authors:  J M Bland; D G Altman
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

2.  Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results.

Authors:  Thomas E Yankeelov; Martin Lepage; Anuradha Chakravarthy; Elizabeth E Broome; Kenneth J Niermann; Mark C Kelley; Ingrid Meszoely; Ingrid A Mayer; Cheryl R Herman; Kevin McManus; Ronald R Price; John C Gore
Journal:  Magn Reson Imaging       Date:  2006-11-21       Impact factor: 2.546

3.  Differences in measured mammographic density in the menstrual cycle.

Authors:  Gayane Hovhannisyan; Lorraine Chow; Alexandra Schlosser; Martin J Yaffe; Norman F Boyd; Lisa J Martin
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-06-30       Impact factor: 4.254

4.  Diffusion coefficient measurement using a temperature-controlled fluid for quality control in multicenter studies.

Authors:  Thomas L Chenevert; Craig J Galbán; Marko K Ivancevic; Susan E Rohrer; Frank J Londy; Thomas C Kwee; Charles R Meyer; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross
Journal:  J Magn Reson Imaging       Date:  2011-10       Impact factor: 4.813

5.  Magnetic resonance imaging (MRI) of hormone-induced breast changes in young premenopausal women.

Authors:  Tess V Clendenen; Sungheon Kim; Linda Moy; Livia Wan; Henry Rusinek; Frank Z Stanczyk; Malcolm C Pike; Anne Zeleniuch-Jacquotte
Journal:  Magn Reson Imaging       Date:  2012-08-13       Impact factor: 2.546

6.  Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer.

Authors:  Jennifer G Whisenant; Gregory D Ayers; Mary E Loveless; Stephanie L Barnes; Daniel C Colvin; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2013-12-14       Impact factor: 2.546

7.  Apparent diffusion coefficient of breast cancer and normal fibroglandular tissue in diffusion-weighted imaging: the effects of menstrual cycle and menopausal status.

Authors:  Jin You Kim; Hie Bum Suh; Hyun Jung Kang; Jong Ki Shin; Ki Seok Choo; Kyung Jin Nam; Seok Won Lee; Young Lae Jung; Young Tae Bae
Journal:  Breast Cancer Res Treat       Date:  2016-04-18       Impact factor: 4.872

Review 8.  Quantitative Imaging in Cancer Clinical Trials.

Authors:  Thomas E Yankeelov; David A Mankoff; Lawrence H Schwartz; Frank S Lieberman; John M Buatti; James M Mountz; Bradley J Erickson; Fiona M M Fennessy; Wei Huang; Jayashree Kalpathy-Cramer; Richard L Wahl; Hannah M Linden; Paul E Kinahan; Binsheng Zhao; Nola M Hylton; Robert J Gillies; Laurence Clarke; Robert Nordstrom; Daniel L Rubin
Journal:  Clin Cancer Res       Date:  2016-01-15       Impact factor: 12.531

9.  Beyond bar and line graphs: time for a new data presentation paradigm.

Authors:  Tracey L Weissgerber; Natasa M Milic; Stacey J Winham; Vesna D Garovic
Journal:  PLoS Biol       Date:  2015-04-22       Impact factor: 8.029

10.  Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI.

Authors:  Alina Tudorica; Karen Y Oh; Stephen Y-C Chui; Nicole Roy; Megan L Troxell; Arpana Naik; Kathleen A Kemmer; Yiyi Chen; Megan L Holtorf; Aneela Afzal; Charles S Springer; Xin Li; Wei Huang
Journal:  Transl Oncol       Date:  2016-01-23       Impact factor: 4.243

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  22 in total

Review 1.  Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data.

Authors:  David A Hormuth; Angela M Jarrett; Ernesto A B F Lima; Matthew T McKenna; David T Fuentes; Thomas E Yankeelov
Journal:  JCO Clin Cancer Inform       Date:  2019-02

2.  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

3.  MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.

Authors:  Chengyue Wu; Angela M Jarrett; Zijian Zhou; Nabil Elshafeey; Beatriz E Adrada; Rosalind P Candelaria; Rania M M Mohamed; Medine Boge; Lei Huo; Jason B White; Debu Tripathy; Vicente Valero; Jennifer K Litton; Clinton Yam; Jong Bum Son; Jingfei Ma; Gaiane M Rauch; Thomas E Yankeelov
Journal:  Cancer Res       Date:  2022-09-16       Impact factor: 13.312

Review 4.  Challenges in ensuring the generalizability of image quantitation methods for MRI.

Authors:  Kathryn E Keenan; Jana G Delfino; Kalina V Jordanova; Megan E Poorman; Prathyush Chirra; Akshay S Chaudhari; Bettina Baessler; Jessica Winfield; Satish E Viswanath; Nandita M deSouza
Journal:  Med Phys       Date:  2021-09-29       Impact factor: 4.506

5.  Repeatability and Reproducibility Assessment of the Apparent Diffusion Coefficient in the Prostate: A Trial of the ECOG-ACRIN Research Group (ACRIN 6701).

Authors:  Michael A Boss; Bradley S Snyder; Eunhee Kim; Dena Flamini; Sarah Englander; Karthik M Sundaram; Naveen Gumpeni; Suzanne L Palmer; Haesun Choi; Adam T Froemming; Thorsten Persigehl; Matthew S Davenport; Dariya Malyarenko; Thomas L Chenevert; Mark A Rosen
Journal:  J Magn Reson Imaging       Date:  2022-02-10       Impact factor: 5.119

6.  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

Review 7.  Imaging for Response Assessment in Cancer Clinical Trials.

Authors:  Anna G Sorace; Asser A Elkassem; Samuel J Galgano; Suzanne E Lapi; Benjamin M Larimer; Savannah C Partridge; C Chad Quarles; Kirsten Reeves; Tiara S Napier; Patrick N Song; Thomas E Yankeelov; Stefanie Woodard; Andrew D Smith
Journal:  Semin Nucl Med       Date:  2020-06-10       Impact factor: 4.446

8.  Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics.

Authors:  Chengyue Wu; David A Hormuth; Todd A Oliver; Federico Pineda; Guillermo Lorenzo; Gregory S Karczmar; Robert D Moser; Thomas E Yankeelov
Journal:  IEEE Trans Med Imaging       Date:  2020-02-20       Impact factor: 10.048

9.  Multiparametric Analysis of Longitudinal Quantitative MRI data to Identify Distinct Tumor Habitats in Preclinical Models of Breast Cancer.

Authors:  Anum K Syed; Jennifer G Whisenant; Stephanie L Barnes; Anna G Sorace; Thomas E Yankeelov
Journal:  Cancers (Basel)       Date:  2020-06-24       Impact factor: 6.639

Review 10.  Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Authors:  Amita Shukla-Dave; Nancy A Obuchowski; Thomas L Chenevert; Sachin Jambawalikar; Lawrence H Schwartz; Dariya Malyarenko; Wei Huang; Susan M Noworolski; Robert J Young; Mark S Shiroishi; Harrison Kim; Catherine Coolens; Hendrik Laue; Caroline Chung; Mark Rosen; Michael Boss; Edward F Jackson
Journal:  J Magn Reson Imaging       Date:  2018-11-19       Impact factor: 5.119

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