Literature DB >> 21254208

Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics.

S C Partridge1, H Rahbar, R Murthy, X Chai, B F Kurland, W B DeMartini, C D Lehman.   

Abstract

This study investigated the relationship between apparent diffusion coefficient (ADC) measures and dynamic contrast-enhanced magnetic resonance imaging (MRI) kinetics in breast lesions and evaluated the relative diagnostic value of each quantitative parameter. Seventy-seven women with 100 breast lesions (27 malignant and 73 benign) underwent both dynamic contrast-enhanced MRI and diffusion weighted MRI. Dynamic contrast-enhanced MRI kinetic parameters included peak initial enhancement, predominant delayed kinetic curve type (persistent, plateau, or washout), and worst delayed kinetic curve type (washout > plateau > persistent). Associations between ADC and dynamic contrast-enhanced MRI kinetic parameters and predictions of malignancy were evaluated. Results showed that ADC was significantly associated with predominant curve type (ADC was higher for lesions exhibiting predominantly persistent enhancement compared with those exhibiting predominantly washout or plateau, P = 0.006), but was not significantly associated with peak initial enhancement or worst curve type (P > 0.05). Univariate analysis showed significant differences between benign and malignant lesions in both ADC (P < 0.001) and worst curve (P = 0.003). In multivariate analysis, worst curve type and ADC were significant independent predictors of benign versus malignant outcome and in combination produced the highest area under the receiver operating characteristic curve (0.85 and 0.78 with 5-fold cross validation).
Copyright © 2011 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21254208      PMCID: PMC3201817          DOI: 10.1002/mrm.22762

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  37 in total

1.  Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

Authors:  C K Kuhl; P Mielcareck; S Klaschik; C Leutner; E Wardelmann; J Gieseke; H H Schild
Journal:  Radiology       Date:  1999-04       Impact factor: 11.105

2.  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

3.  Quantitative diffusion imaging in breast cancer: a clinical prospective study.

Authors:  Erika Rubesova; Anne-Sophie Grell; Viviane De Maertelaer; Thierry Metens; Shih-Li Chao; Marc Lemort
Journal:  J Magn Reson Imaging       Date:  2006-08       Impact factor: 4.813

4.  MRI detection of distinct incidental cancer in women with primary breast cancer studied in IBMC 6883.

Authors:  Mitchell D Schnall; Jeffery Blume; David A Bluemke; Gia A Deangelis; Nanette Debruhl; Steven Harms; Sylvia H Heywang-Köbrunner; Nola Hylton; Christiane K Kuhl; Etta D Pisano; Petrina Causer; Stuart J Schnitt; Stanley F Smazal; Carol B Stelling; Constance Lehman; Paul T Weatherall; Constantine A Gatsonis
Journal:  J Surg Oncol       Date:  2005-10-01       Impact factor: 3.454

5.  Pathophysiologic basis of contrast enhancement in breast tumors.

Authors:  M V Knopp; E Weiss; H P Sinn; J Mattern; H Junkermann; J Radeleff; A Magener; G Brix; S Delorme; I Zuna; G van Kaick
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

6.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

7.  Contrast-Enhanced Magnetic Resonance Imaging to Assess Tumor Histopathology and Angiogenesis in Breast Carcinoma.

Authors:  Laura Esserman; Nola Hylton; Tracy George; Noel Weidner
Journal:  Breast J       Date:  1999-01       Impact factor: 2.431

8.  MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer.

Authors:  Constance D Lehman; Constantine Gatsonis; Christiane K Kuhl; R Edward Hendrick; Etta D Pisano; Lucy Hanna; Sue Peacock; Stanley F Smazal; Daniel D Maki; Thomas B Julian; Elizabeth R DePeri; David A Bluemke; Mitchell D Schnall
Journal:  N Engl J Med       Date:  2007-03-28       Impact factor: 91.245

9.  Reading protocol for dynamic contrast-enhanced MR images of the breast: sensitivity and specificity analysis.

Authors:  Ruth M L Warren; Linda Pointon; Deborah Thompson; Rebecca Hoff; Fiona J Gilbert; Anwar Padhani; Doug Easton; Sunil R Lakhani; Martin O Leach
Journal:  Radiology       Date:  2005-09       Impact factor: 11.105

10.  Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion.

Authors:  C Marini; C Iacconi; M Giannelli; A Cilotti; M Moretti; C Bartolozzi
Journal:  Eur Radiol       Date:  2007-03-14       Impact factor: 7.034

View more
  41 in total

1.  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

2.  Distortion correction in diffusion-weighted imaging of the breast: Performance assessment of prospective, retrospective, and combined (prospective + retrospective) approaches.

Authors:  Ileana Hancu; Seung-Kyun Lee; Keith Hulsey; Robert Lenkinski; Dominic Holland; Jonathan I Sperl; Ek T Tan
Journal:  Magn Reson Med       Date:  2016-07-12       Impact factor: 4.668

3.  Diffusion-weighted imaging: determination of the best pair of b-values to discriminate breast lesions.

Authors:  L Nogueira; S Brandão; E Matos; R G Nunes; J Loureiro; H A Ferreira; I Ramos
Journal:  Br J Radiol       Date:  2014-05-16       Impact factor: 3.039

4.  MRI in the differential diagnosis of primary architectural distortion detected by mammography.

Authors:  Lifang Si; Renyou Zhai; Xiaojuan Liu; Kaiyan Yang; Li Wang; Tao Jiang
Journal:  Diagn Interv Radiol       Date:  2016 Mar-Apr       Impact factor: 2.630

5.  Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial.

Authors:  David C Newitt; Ek T Tan; Lisa J Wilmes; Thomas L Chenevert; John Kornak; Luca Marinelli; Nola Hylton
Journal:  J Magn Reson Imaging       Date:  2015-03-11       Impact factor: 4.813

6.  Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.

Authors:  Sana Parsian; Habib Rahbar; Kimberly H Allison; Wendy B Demartini; Matthew L Olson; Constance D Lehman; Savannah C Partridge
Journal:  Radiology       Date:  2012-10-02       Impact factor: 11.105

7.  Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values.

Authors:  Hubert Bickel; Katja Pinker; Stephan Polanec; Heinrich Magometschnigg; Georg Wengert; Claudio Spick; Wolfgang Bogner; Zsuzsanna Bago-Horvath; Thomas H Helbich; Pascal Baltzer
Journal:  Eur Radiol       Date:  2016-08-30       Impact factor: 5.315

8.  Suspicious axillary lymph nodes identified on clinical breast MRI in patients newly diagnosed with breast cancer: can quantitative features improve discrimination of malignant from benign?

Authors:  Habib Rahbar; Jane L Conlin; Sana Parsian; Wendy B DeMartini; Sue Peacock; Constance D Lehman; Savannah C Partridge
Journal:  Acad Radiol       Date:  2014-12-06       Impact factor: 3.173

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

Authors:  Habib Rahbar; Brenda F Kurland; Matthew L Olson; Averi E Kitsch; John R Scheel; Xiaoyu Chai; Joshua Usoro; Constance D Lehman; Savannah C Partridge
Journal:  J Comput Assist Tomogr       Date:  2016 May-Jun       Impact factor: 1.826

10.  Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors.

Authors:  Gene Young Cho; Linda Moy; Sungheon G Kim; Steven H Baete; Melanie Moccaldi; James S Babb; Daniel K Sodickson; Eric E Sigmund
Journal:  Eur Radiol       Date:  2015-11-28       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.