Literature DB >> 24099642

Comparison of the diagnostic performances of diffusion parameters in diffusion weighted imaging and diffusion tensor imaging of breast lesions.

Ozgur Cakir1, Arzu Arslan, Nagihan Inan, Yonca Anık, Tahsin Sarısoy, Sevtap Gumustas, Gur Akansel.   

Abstract

PURPOSE: To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast.
MATERIALS AND METHODS: The study included 52 women with 55 breast lesions (30 malignant, 25 benign). DTI and DWI were performed complementary to dynamic contrast MRI at 3T. Apparent diffusion coefficient (ADC) of DWI, mean diffusivity (MD) and fractional anisotropy (FA) values of DTI were measured for lesions and contralateral breast parenchyma in each patient. We used b factors of 0, 50, 850, 1000 and 1500 s/mm(2) for DWI and b 0 and 1000 s/mm(2) for DTI. ADC, MD and FA values were compared between malignant and benign lesions, and the normal parenchyma by univariate and multivariate analyses.
RESULTS: Diffusion parameters showed no difference according to menopausal status in the normal breast. ADC and MD values of the malignant lesions were significantly lower than benign lesions and normal parenchyma (p=0.001). The FA showed no statistical significance. With the cut-off values of ≤ 1.23 × 10(-3)mm(2)/s (b 0-1000 s/mm(2)) and ≤ 1.12 × 10(-3)mm(2)/s (b 0-1500 s/mm(2)), ADC showed 92.85% and 96.15% sensitivity; 72.22% and 73.52% PPV, respectively. With a cut-off value of ≤ 1.27 × 10(-3)mm(2)/s (b 1000 s/mm(2)), MD was 100% sensitive with a PPV of 65.90%. Comparing the diagnostic performance of the parameters in DTI with DWI, we obtained similar efficiency of ADC with b values of 0,1000 and 0,1500 s/mm(2) and MD with a b value of 0, 1000 s/mm(2) (AUC = 0.82 ± 0.07).
CONCLUSION: ADC of DWI and MD of DTI values provide significant discriminative factors for benign and malignant breast lesions. FA measurement was not discriminative. Supported with clinical and dynamic contrast MRI findings, DWI and DTI findings provide significant contribution to the final radiologic decision.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Diffusion tensor imaging, DTI, Apparent diffusion coefficient, ADC; Diffusion weighted imaging (DWI); Fractional anisotropy, FA; Mean diffusivity, MD

Mesh:

Year:  2013        PMID: 24099642     DOI: 10.1016/j.ejrad.2013.09.001

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  24 in total

1.  Test-retest reliability of diffusion tensor imaging of the liver at 3.0 T.

Authors:  Rossano Girometti; Marta Maieron; Giovanni Lissandrello; Massimo Bazzocchi; Chiara Zuiani
Journal:  Radiol Med       Date:  2014-11-25       Impact factor: 3.469

2.  Correlation between electrical conductivity and apparent diffusion coefficient in breast cancer: effect of necrosis on magnetic resonance imaging.

Authors:  Soo-Yeon Kim; Jaewook Shin; Dong-Hyun Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Jai Kyung You; Min Jung Kim
Journal:  Eur Radiol       Date:  2018-03-06       Impact factor: 5.315

3.  Monitoring In-Vivo the Mammary Gland Microstructure during Morphogenesis from Lactation to Post-Weaning Using Diffusion Tensor MRI.

Authors:  Noam Nissan; Edna Furman-Haran; Myra Shapiro-Feinberg; Dov Grobgeld; Hadassa Degani
Journal:  J Mammary Gland Biol Neoplasia       Date:  2017-07-13       Impact factor: 2.673

4.  Additional value of diffusion-weighted imaging to evaluate multifocal and multicentric breast cancer detected using pre-operative breast MRI.

Authors:  Sung Eun Song; Eun Kyung Park; Kyu Ran Cho; Bo Kyoung Seo; Ok Hee Woo; Seung Pil Jung; Sung Bum Cho
Journal:  Eur Radiol       Date:  2017-06-07       Impact factor: 5.315

5.  Diffusion tensor imaging of breast lesions: evaluation of apparent diffusion coefficient and fractional anisotropy and tissue cellularity.

Authors:  Ruisheng Jiang; Zhijun Ma; Haixia Dong; Shihang Sun; Xiangmin Zeng; Xiao Li
Journal:  Br J Radiol       Date:  2016-06-15       Impact factor: 3.039

6.  Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization-comparison between ADC value and ADC entropy.

Authors:  Haralambos Bougias; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Alexandra Christou
Journal:  Br J Radiol       Date:  2016-10-10       Impact factor: 3.039

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.  Diffusion tensor imaging in the normal breast: influences of fibroglandular tissue composition and background parenchymal enhancement.

Authors:  Michael Jonathan Plaza; Elizabeth A Morris; Sunitha B Thakur
Journal:  Clin Imaging       Date:  2015-12-08       Impact factor: 1.605

9.  Breast MRI during lactation: effects on tumor conspicuity using dynamic contrast-enhanced (DCE) in comparison with diffusion tensor imaging (DTI) parametric maps.

Authors:  Noam Nissan; Tanir Allweis; Tehillah Menes; Asia Brodsky; Shani Paluch-Shimon; Ilana Haas; Orit Golan; Yaheli Miller; Hani Barlev; Einat Carmon; Malka Brodsky; Debbie Anaby; Philip Lawson; Osnat Halshtok-Neiman; Anat Shalmon; Michael Gotlieb; Renata Faermann; Eli Konen; Miri Sklair-Levy
Journal:  Eur Radiol       Date:  2019-09-16       Impact factor: 5.315

10.  Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.

Authors:  Jin You Kim; Jin Joo Kim; Suk Kim; Ki Seok Choo; Ahrong Kim; Taewoo Kang; Heesung Park
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

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