Literature DB >> 20099346

Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors.

Savannah C Partridge1, Ali Ziadloo, Revathi Murthy, Steven W White, Sue Peacock, Peter R Eby, Wendy B DeMartini, Constance D Lehman.   

Abstract

PURPOSE: To investigate whether diffusion tensor imaging (DTI) measures of anisotropy in breast tumors are different from normal breast tissue and can improve the discrimination between benign and malignant lesions.
MATERIALS AND METHODS: The study included 81 women with 105 breast lesions (76 malignant, 29 benign). DTI was performed during breast MRI examinations, and fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values were measured for breast lesions and normal tissue in each subject. FA and ADC were compared between cancers, benign lesions, and normal tissue by univariate and multivariate analyses.
RESULTS: The FA of carcinomas (mean +/- SD: 0.24 +/- 0.07) was significantly lower than normal breast tissue in the same subjects (0.29 +/- 0.07; P < 0.0001). Multiple logistic regression showed that FA and ADC were each independent discriminators of malignancy (P < 0.0001), and that FA improved discrimination between cancer and normal tissue over ADC alone. However, there was no difference in FA between malignant and benign lesions (P = 0.98).
CONCLUSION: Diffusion anisotropy is significantly lower in breast cancers than normal tissue, which may reflect alterations in tissue organization. Our preliminary results suggest that FA adds incremental value over ADC alone for discriminating malignant from normal tissue but does not help with distinguishing benign from malignant lesions.

Entities:  

Mesh:

Year:  2010        PMID: 20099346     DOI: 10.1002/jmri.22045

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


  46 in total

1.  Diffusion tensor magnetic resonance imaging of the breast: a pilot study.

Authors:  Pascal A T Baltzer; Anja Schäfer; Matthias Dietzel; David Grässel; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2010-07-29       Impact factor: 5.315

2.  Magnetic resonance imaging of mean cell size in human breast tumors.

Authors:  Junzhong Xu; Xiaoyu Jiang; Hua Li; Lori R Arlinghaus; Eliot T McKinley; Sean P Devan; Benjamin M Hardy; Jingping Xie; Hakmook Kang; A Bapsi Chakravarthy; John C Gore
Journal:  Magn Reson Med       Date:  2019-11-25       Impact factor: 4.668

3.  Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

Authors:  Raphael Richard; Isabelle Thomassin; Marion Chapellier; Aurélie Scemama; Patricia de Cremoux; Mariana Varna; Sylvie Giacchetti; Marc Espié; Eric de Kerviler; Cedric de Bazelaire
Journal:  Eur Radiol       Date:  2013-05-08       Impact factor: 5.315

4.  Diffusion-tensor imaging as an adjunct to dynamic contrast-enhanced MRI for improved accuracy of differential diagnosis between breast ductal carcinoma in situ and invasive breast carcinoma.

Authors:  Yuan Wang; Xiaopeng Zhang; Kun Cao; Yanling Li; Xiaoting Li; Liping Qi; Lei Tang; Zhilong Wang; Shunyu Gao
Journal:  Chin J Cancer Res       Date:  2015-04       Impact factor: 5.087

5.  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

Review 6.  Clinical role of breast MRI now and going forward.

Authors:  D Leithner; G J Wengert; T H Helbich; S Thakur; R E Ochoa-Albiztegui; E A Morris; K Pinker
Journal:  Clin Radiol       Date:  2017-12-09       Impact factor: 2.350

7.  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

Review 8.  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

Review 9.  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

Review 10.  [Multiparametric and molecular imaging of breast tumors with MRI and PET/MRI].

Authors:  K Pinker; M A Marino; A Dr Meyer-Baese; T H Helbich
Journal:  Radiologe       Date:  2016-07       Impact factor: 0.635

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