Literature DB >> 27742437

Intravoxel incoherent motion diffusion-weighted imaging as an adjunct to dynamic contrast-enhanced MRI to improve accuracy of the differential diagnosis of benign and malignant breast lesions.

Dejing Ma1, Feng Lu2, Xuexue Zou3, Hu Zhang3, Yangyang Li4, Lin Zhang3, Liang Chen3, Dongjing Qin3, Bin Wang5.   

Abstract

PURPOSE: To investigate the value of use of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) as an adjunct to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to distinguish benign from malignant breast lesions.
MATERIALS AND METHODS: Retrospective analysis of data pertaining to 117 patients with breast lesions who underwent DCE-MRI and IVIM-DWI examination with 3.0T MRI was conducted. A total of 128 lesions were pathologically confirmed (47 benign and 81 malignant). Between-group differences in DCE-MRI parameters (Morphology, enhancement pattern, maximum slope of increase (MSI) and time-signal curve (TIC) type) and IVIM-DWI parameters (f value, D value and D* value) were assessed. Multivariate logistic regression was performed to identify variables that distinguished benign from malignant breast lesions. The diagnostic performance of DCE-MRI and DCE-MRI plus IVIM-DWI, to distinguish benign from malignant breast lesions, was evaluated using pathology results as the gold standard.
RESULTS: Lesion morphology, MSI, and TIC type (P<0.05), but not the enhancement pattern (P>0.05), were significantly different between the benign and malignant groups. The f (8.53±2.14) and D* (7.64±2.07) values in the malignant group were significantly higher than those in the benign group (7.68±1.97 and 6.83±2.13, respectively), while the D value (0.99±0.22) was significantly lower than that (1.34±0.17) in the benign group (P<0.05 for all). On logistic regression analysis, the sensitivity, specificity and accuracy of DCE-MRI were 90.1%, 70.2% and 82.8% respectively; the corresponding figures for the combination of IVIM-DWI and DCE-MRI were 88.8%, 85.1%, and 87.5%respectively.
CONCLUSION: IVIM-DWI method as an adjunct to DCE-MRI can improve the specificity and accuracy in differential diagnosis of benign and malignant lesions of breast.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast lesions; Diffusion-weighted imaging; Dynamic contrast-enhanced magnetic resonance imaging; Intravoxel incoherent motion

Mesh:

Substances:

Year:  2016        PMID: 27742437     DOI: 10.1016/j.mri.2016.10.005

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  14 in total

1.  Optimization of intravoxel incoherent motion (IVIM): variability of parameters measurements using a reduced distribution of b values for breast tumors analysis.

Authors:  Natacha Raissa Doudou; Yajie Liu; Sylvanus Kampo; Kai Zhang; Yue Dai; Shaowu Wang
Journal:  MAGMA       Date:  2019-09-30       Impact factor: 2.310

2.  Differentiation between phyllodes tumours and fibroadenomas using intravoxel incoherent motion magnetic resonance imaging: comparison with conventional diffusion-weighted imaging.

Authors:  Hiroko Kawashima; Tosiaki Miyati; Naoki Ohno; Masako Ohno; Masafumi Inokuchi; Hiroko Ikeda; Toshifumi Gabata
Journal:  Br J Radiol       Date:  2018-01-31       Impact factor: 3.039

3.  A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging.

Authors:  Liuquan Cheng; Xiru Li; Yuting Zhong; Menglu Li; Jingjin Zhu; Boya Zhang; Mei Liu; Zhili Wang; Jiandong Wang; Yiqiong Zheng
Journal:  Quant Imaging Med Surg       Date:  2022-07

4.  Simultaneous whole-body and breast 18F-FDG PET/MRI examinations in patients with breast cancer: a comparison of apparent diffusion coefficients and maximum standardized uptake values.

Authors:  Michiro Sasaki; Mitsuhiro Tozaki; Kazunori Kubota; Wakana Murakami; Daisuke Yotsumoto; Yasuaki Sagara; Yasuyo Ohi; Shunichi Oosako; Yoshiaki Sagara
Journal:  Jpn J Radiol       Date:  2017-11-20       Impact factor: 2.374

5.  Optimization of intra-voxel incoherent motion measurement in diffusion-weighted imaging of breast cancer.

Authors:  Wenjing Chen; Juan Zhang; Dan Long; Zhenchang Wang; Jian-Ming Zhu
Journal:  J Appl Clin Med Phys       Date:  2017-03-27       Impact factor: 2.102

6.  Combination of DCE-MRI and DWI in Predicting the Treatment Effect of Concurrent Chemoradiotherapy in Esophageal Carcinoma.

Authors:  Changmin Liu; Roger Sun; Jing Wang; Fangling Ning; Zhenbo Wang; Judong Luo; Shaoshui Chen; Shuanghu Yuan
Journal:  Biomed Res Int       Date:  2020-06-16       Impact factor: 3.411

7.  Quantitative evaluation of intravoxel incoherent motion diffusion-weighted imaging (IVIM) for differential diagnosis and grading prediction of benign and malignant breast lesions.

Authors:  Xijin Mao; Xuexue Zou; Ning Yu; Xingyu Jiang; Jing Du
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

8.  Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients.

Authors:  Gene Y Cho; Lucas Gennaro; Elizabeth J Sutton; Emily C Zabor; Zhigang Zhang; Dilip Giri; Linda Moy; Daniel K Sodickson; Elizabeth A Morris; Eric E Sigmund; Sunitha B Thakur
Journal:  Eur J Radiol Open       Date:  2017-08-18

9.  Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study.

Authors:  Kurt Li; Archana Machireddy; Alina Tudorica; Brendan Moloney; Karen Y Oh; Neda Jafarian; Savannah C Partridge; Xin Li; Wei Huang
Journal:  Tomography       Date:  2020-06

10.  Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Quantitative Differentiation of Breast Tumors: A Meta-Analysis.

Authors:  Jianye Liang; Sihui Zeng; Zhipeng Li; Yanan Kong; Tiebao Meng; Chunyan Zhou; Jieting Chen; YaoPan Wu; Ni He
Journal:  Front Oncol       Date:  2020-10-20       Impact factor: 6.244

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.