Literature DB >> 27192501

Diffusion-Weighted Breast Magnetic Resonance Imaging: A Semiautomated Voxel Selection Technique Improves Interreader Reproducibility of Apparent Diffusion Coefficient Measurements.

Habib Rahbar1, Brenda F Kurland, Matthew L Olson, Averi E Kitsch, John R Scheel, Xiaoyu Chai, Joshua Usoro, Constance D Lehman, Savannah C Partridge.   

Abstract

OBJECTIVE: To determine whether a semiautomated voxel selection technique improves interreader reproducibility for breast apparent diffusion coefficient (ADC) measurements.
METHODS: Three readers retrospectively performed ADC measurements of 31 breast lesions (16 malignant, 15 benign) and contralateral normal tissue in 26 women both unassisted (manual method) and assisted by a semiautomated software tool that excludes voxels below a dynamically specified signal intensity threshold. Reproducibility between readers for each technique was assessed by Bland-Altman analysis and concordance correlation coefficients (CCCs).
RESULTS: Differences between readers' measured ADCs of lesions were smaller with the semiautomated tool vs the manual method. Concordance correlation coefficients for each reader pair were greater with the semiautomated tool for lesions (mean CCC difference, 0.11; 95% confidence interval, 0.04-0.26). For normal tissue, reader agreement was lower than for lesions and did not differ based on software tools (mean CCC difference, 0.00; 95% confidence interval, -0.14 to 0.13).
CONCLUSIONS: A semiautomated voxel selection tool can improve interreader reproducibility of breast lesion ADC measures.

Entities:  

Mesh:

Year:  2016        PMID: 27192501      PMCID: PMC4874523          DOI: 10.1097/RCT.0000000000000372

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  20 in total

1.  Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Authors:  Savannah C Partridge; Wendy B DeMartini; Brenda F Kurland; Peter R Eby; Steven W White; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2009-12       Impact factor: 3.959

2.  Characterization of ductal carcinoma in situ on diffusion weighted breast MRI.

Authors:  Habib Rahbar; Savannah C Partridge; Peter R Eby; Wendy B Demartini; Robert L Gutierrez; Sue Peacock; Constance D Lehman
Journal:  Eur Radiol       Date:  2011-05-12       Impact factor: 5.315

3.  Diffusion-weighted MRI: association between patient characteristics and apparent diffusion coefficients of normal breast fibroglandular tissue at 3 T.

Authors:  Elizabeth S McDonald; Jennifer G Schopp; Sue Peacock; Wendy B DeMartini; Wendy D DeMartini; Habib Rahbar; Constance D Lehman; Savannah C Partridge
Journal:  AJR Am J Roentgenol       Date:  2014-05       Impact factor: 3.959

4.  Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size.

Authors:  Savannah C Partridge; Christiane D Mullins; Brenda F Kurland; Michael D Allain; Wendy B DeMartini; Peter R Eby; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

5.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

6.  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

7.  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

8.  Diffusion tensor magnetic resonance imaging of the normal breast: reproducibility of DTI-derived fractional anisotropy and apparent diffusion coefficient at 3.0 T.

Authors:  A Tagliafico; G Rescinito; F Monetti; A Villa; F Chiesa; E Fisci; D Pace; M Calabrese
Journal:  Radiol Med       Date:  2012-05-14       Impact factor: 3.469

9.  Positive predictive value of BI-RADS MR imaging.

Authors:  Mary C Mahoney; Constantine Gatsonis; Lucy Hanna; Wendy B DeMartini; Constance Lehman
Journal:  Radiology       Date:  2012-05-15       Impact factor: 11.105

10.  Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain.

Authors:  Ullamari Hakulinen; Antti Brander; Pertti Ryymin; Juha Öhman; Seppo Soimakallio; Mika Helminen; Prasun Dastidar; Hannu Eskola
Journal:  BMC Med Imaging       Date:  2012-10-11       Impact factor: 1.930

View more
  10 in total

1.  Apparent diffusion coefficient values may help predict which MRI-detected high-risk breast lesions will upgrade at surgical excision.

Authors:  Safia Cheeney; Habib Rahbar; Brian N Dontchos; Sara H Javid; Mara H Rendi; Savannah C Partridge
Journal:  J Magn Reson Imaging       Date:  2017-02-09       Impact factor: 4.813

2.  Diffusion-weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2- breast cancers.

Authors:  Nita Amornsiripanitch; Vicky T Nguyen; Habib Rahbar; Daniel S Hippe; Vijayakrishna K Gadi; Mara H Rendi; Savannah C Partridge
Journal:  J Magn Reson Imaging       Date:  2017-11-27       Impact factor: 4.813

3.  Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Authors:  Habib Rahbar; Zheng Zhang; Thomas L Chenevert; Justin Romanoff; Averi E Kitsch; Lucy G Hanna; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Karen Y Oh; Colleen H Neal; Elizabeth S McDonald; Mitchell D Schnall; Constance D Lehman; Christopher E Comstock; Savannah C Partridge
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

4.  DWI in the Assessment of Breast Lesions.

Authors:  Savannah C Partridge; Nita Amornsiripanitch
Journal:  Top Magn Reson Imaging       Date:  2017-10

5.  Factors Affecting Image Quality and Lesion Evaluability in Breast Diffusion-weighted MRI: Observations from the ECOG-ACRIN Cancer Research Group Multisite Trial (A6702).

Authors:  Jennifer G Whisenant; Justin Romanoff; Habib Rahbar; Averi E Kitsch; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak E Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Lisa J Wilmes; Nola M Hylton; Karen Y Oh; Luminita A Tudorica; Colleen H Neal; Dariya I Malyarenko; Elizabeth S McDonald; Christopher E Comstock; Thomas E Yankeelov; Thomas L Chenevert; Savannah C Partridge
Journal:  J Breast Imaging       Date:  2020-12-24

6.  Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial.

Authors:  Savannah C Partridge; Zheng Zhang; David C Newitt; Jessica E Gibbs; Thomas L Chenevert; Mark A Rosen; Patrick J Bolan; Helga S Marques; Justin Romanoff; Lisa Cimino; Bonnie N Joe; Heidi R Umphrey; Haydee Ojeda-Fournier; Basak Dogan; Karen Oh; Hiroyuki Abe; Jennifer S Drukteinis; Laura J Esserman; Nola M Hylton
Journal:  Radiology       Date:  2018-09-04       Impact factor: 29.146

7.  Diffusion tensor imaging for characterizing tumor microstructure and improving diagnostic performance on breast MRI: a prospective observational study.

Authors:  Jing Luo; Daniel S Hippe; Habib Rahbar; Sana Parsian; Mara H Rendi; Savannah C Partridge
Journal:  Breast Cancer Res       Date:  2019-09-04       Impact factor: 6.466

Review 8.  Diffusion Breast MRI: Current Standard and Emerging Techniques.

Authors:  Ashley M Mendez; Lauren K Fang; Claire H Meriwether; Summer J Batasin; Stéphane Loubrie; Ana E Rodríguez-Soto; Rebecca A Rakow-Penner
Journal:  Front Oncol       Date:  2022-07-08       Impact factor: 5.738

9.  Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial.

Authors:  Elizabeth S McDonald; Justin Romanoff; Habib Rahbar; Averi E Kitsch; Sara M Harvey; Jennifer G Whisenant; Thomas E Yankeelov; Linda Moy; Wendy B DeMartini; Basak E Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Lisa J Wilmes; Nola M Hylton; Karen Y Oh; Luminita A Tudorica; Colleen H Neal; Dariya I Malyarenko; Christopher E Comstock; Mitchell D Schnall; Thomas L Chenevert; Savannah C Partridge
Journal:  Radiology       Date:  2020-11-17       Impact factor: 11.105

Review 10.  Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role.

Authors:  Julia Camps-Herrero
Journal:  BJR Open       Date:  2019-03-08
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.