Literature DB >> 24273096

Intravoxel incoherent motion diffusion-weighted MRI at 3.0 T differentiates malignant breast lesions from benign lesions and breast parenchyma.

Louisa Bokacheva1, Jennifer B Kaplan, Dilip D Giri, Sujata Patil, Merlin Gnanasigamani, C Gregory Nyman, Joseph O Deasy, Elizabeth A Morris, Sunitha B Thakur.   

Abstract

PURPOSE: To study the differentiation of malignant breast lesions from benign lesions and fibroglandular tissue (FGT) using apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) parameters.
MATERIALS AND METHODS: This retrospective study included 26 malignant and 14 benign breast lesions in 35 patients who underwent diffusion-weighted MRI at 3.0T and nine b-values (0-1000 s/mm(2) ). ADC and IVIM parameters (perfusion fraction fp , pseudodiffusion coefficient Dp , and true diffusion coefficient Dd ) were determined in lesions and FGT. For comparison, IVIM was also measured in 16 high-risk normal patients. A predictive model was constructed using linear discriminant analysis. Lesion discrimination based on ADC and IVIM parameters was assessed using receiver operating characteristic (ROC) and area under the ROC curve (AUC).
RESULTS: In FGT of normal subjects, fp was 1.1 ± 1.1%. In malignant lesions, fp (6.4 ± 3.1%) was significantly higher than in benign lesions (3.1 ± 3.3%, P = 0.0025) or FGT (1.5 ± 1.2%, P < 0.001), and Dd ((1.29 ± 0.28) × 10(-3) mm(2) /s) was lower than in benign lesions ((1.56 ± 0.28) × 10(-3) mm(2) /s, P = 0.011) or FGT ((1.86 ± 0.34) × 10(-3) mm(2) /s, P < 0.001). A combination of Dd and fp provided higher AUC for discrimination between malignant and benign lesions (0.84) or FGT (0.97) than ADC (0.72 and 0.86, respectively).
CONCLUSION: The IVIM parameters provide accurate identification of malignant lesions.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  benign breast lesions; breast cancer; diffusion-weighted imaging; intravoxel incoherent motion

Mesh:

Year:  2013        PMID: 24273096      PMCID: PMC4786009          DOI: 10.1002/jmri.24462

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


  36 in total

1.  An in vivo verification of the intravoxel incoherent motion effect in diffusion-weighted imaging of the abdomen.

Authors:  Andreas Lemke; Frederik B Laun; Dirk Simon; Bram Stieltjes; Lothar R Schad
Journal:  Magn Reson Med       Date:  2010-07-27       Impact factor: 4.668

2.  Functional evaluation of transplanted kidneys with diffusion-weighted and BOLD MR imaging: initial experience.

Authors:  Harriet C Thoeny; Dominik Zumstein; Sonja Simon-Zoula; Ute Eisenberger; Frederik De Keyzer; Lucie Hofmann; Peter Vock; Chris Boesch; Felix J Frey; Peter Vermathen
Journal:  Radiology       Date:  2006-12       Impact factor: 11.105

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.  DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement?

Authors:  Sanaz A Jansen; Xiaobing Fan; Gregory S Karczmar; Hiroyuki Abe; Robert A Schmidt; Maryellen Giger; Gillian M Newstead
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

5.  Diffusion-weighted imaging of normal fibroglandular breast tissue: influence of microperfusion and fat suppression technique on the apparent diffusion coefficient.

Authors:  Paul Baron; Monique D Dorrius; Peter Kappert; Matthijs Oudkerk; Paul E Sijens
Journal:  NMR Biomed       Date:  2010-02-03       Impact factor: 4.044

6.  Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging.

Authors:  I Yamada; W Aung; Y Himeno; T Nakagawa; H Shibuya
Journal:  Radiology       Date:  1999-03       Impact factor: 11.105

7.  Breast lesions: correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis.

Authors:  L D Buadu; J Murakami; S Murayama; N Hashiguchi; S Sakai; K Masuda; S Toyoshima; S Kuroki; S Ohno
Journal:  Radiology       Date:  1996-09       Impact factor: 11.105

8.  ADC mapping of benign and malignant breast tumors.

Authors:  Reiko Woodhams; Keiji Matsunaga; Shinichi Kan; Hirofumi Hata; Masanori Ozaki; Keiichi Iwabuchi; Masaru Kuranami; Masahiko Watanabe; Kazushige Hayakawa
Journal:  Magn Reson Med Sci       Date:  2005       Impact factor: 2.471

9.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.

Authors:  Anwar R Padhani; Guoying Liu; Dow Mu Koh; Thomas L Chenevert; Harriet C Thoeny; Taro Takahara; Andrew Dzik-Jurasz; Brian D Ross; Marc Van Cauteren; David Collins; Dima A Hammoud; Gordon J S Rustin; Bachir Taouli; Peter L Choyke
Journal:  Neoplasia       Date:  2009-02       Impact factor: 5.715

10.  Liver cirrhosis: intravoxel incoherent motion MR imaging--pilot study.

Authors:  Alain Luciani; Alexandre Vignaud; Madeleine Cavet; Jeanne Tran Van Nhieu; Ariane Mallat; Lucile Ruel; Alexis Laurent; Jean-François Deux; Pierre Brugieres; Alain Rahmouni
Journal:  Radiology       Date:  2008-12       Impact factor: 11.105

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  39 in total

1.  Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging of focal vertebral bone marrow lesions: initial experience of the differentiation of nodular hyperplastic hematopoietic bone marrow from malignant lesions.

Authors:  Sunghoon Park; Kyu-Sung Kwack; Nam-Su Chung; Jinwoo Hwang; Hyun Young Lee; Jae Ho Kim
Journal:  Skeletal Radiol       Date:  2017-03-06       Impact factor: 2.199

2.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

3.  Whole-body intravoxel incoherent motion imaging.

Authors:  Lukas Filli; Moritz C Wurnig; Roger Luechinger; Christian Eberhardt; Roman Guggenberger; Andreas Boss
Journal:  Eur Radiol       Date:  2015-01-10       Impact factor: 5.315

4.  A preliminary exploration of the intravoxel incoherent motion applied in the preoperative evaluation of mediastinal lymph node metastasis of lung cancer.

Authors:  Xin Ye; Shuo Chen; Yaru Tian; Bin You; Wenqian Zhang; Yan Zhao; Tao Jiang; Bin Hu; Hui Li
Journal:  J Thorac Dis       Date:  2017-04       Impact factor: 2.895

5.  A comparison of fitting algorithms for diffusion-weighted MRI data analysis using an intravoxel incoherent motion model.

Authors:  Roberta Fusco; Mario Sansone; Antonella Petrillo
Journal:  MAGMA       Date:  2016-09-26       Impact factor: 2.310

6.  Statistical assessment of bi-exponential diffusion weighted imaging signal characteristics induced by intravoxel incoherent motion in malignant breast tumors.

Authors:  Jing Yuan; Oi Lei Wong; Gladys G Lo; Helen H L Chan; Ting Ting Wong; Polly S Y Cheung
Journal:  Quant Imaging Med Surg       Date:  2016-08

Review 7.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

8.  Intravoxel incoherent motion diffusion-weighted MR imaging of breast cancer: association with histopathological features and subtypes.

Authors:  Yunju Kim; Kyounglan Ko; Daehong Kim; Changki Min; Sungheon G Kim; Jungnam Joo; Boram Park
Journal:  Br J Radiol       Date:  2016-05-20       Impact factor: 3.039

9.  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

Review 10.  Multiparametric MR Imaging of Breast Cancer.

Authors:  Habib Rahbar; Savannah C Partridge
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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