Literature DB >> 25564776

The diagnostic value of diffusion-weighted imaging and the apparent diffusion coefficient values in the differentiation of benign and malignant breast lesions.

Gonca Çabuk1, Meltem Nass Duce, Anıl Özgür, Feramuz Demir Apaydın, Ayşe Polat, Gülhan Orekici.   

Abstract

INTRODUCTION: The goal of our study was to evaluate the diagnostic efficacy of diffusion-weighted imaging (DWI) in the differentiation of benign and malignant breast lesions.
METHODS: Between June 2012 and March 2013, 60 patients with 63 lesions (age range 29-70 years, mean age 48.6 years) were included in our study. All lesions, except complicated cysts and intra-mammary lymph nodes, were confirmed histopathologically. The patients were evaluated with a 1.5 Tesla MR scanner using dedicated bilateral breast coil. DWI images were obtained by echo planar imaging sequence and 'b' values were selected as 200, 600 and 1000 s/mm(2). Apparent diffusion coefficient (ADC) values of both breast lesions and the normal fibroglandular tissue of the contralateral breast were calculated and statistically compared using Shapiro-Wilk test, Student's t-test, Mann-Whitney U test, chi-square test and the receiver operating curve.
RESULTS: Of 63 lesions, 22 were malignant and 41 were benign. In malignant lesions, the mean ADC values were 1.40 ± 0.41 × 10(-3) mm(2)/s for b = 200, 1.05 ± 0.28 × 10(-3) mm(2)/s for b = 600 and 0.91 ± 0.20 × 10(-3) mm(2)/s for b = 1000 and in benign lesions, the mean ADC values were 2.13 ± 0.85 × 10(-3) mm(2)/s for b = 200, 1.64 ± 0.47 × 10(-3) mm(2)/s for b = 600 and 1.40 ± 0.43 × 10(-3) mm(2)/s for b = 1000. The success of ADC values in differentiation of benign and malignant lesions was statistically significant (P = 0.0001). The threshold values were determined to be 1.50 × 10(-3) mm(2)/s for b = 200, 1.22 × 10(-3) mm(2)/s for b = 600 and 0.98 × 10(-3) mm(2)/s for b = 1000 (P < 0.05).
CONCLUSION: DWI can be an effective radiological method in the differentiation of benign and malignant breast lesions.
© 2015 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  apparent diffusion coefficient; breast imaging; diffusion-weighted imaging; magnetic resonance imaging; malignant breast lesion

Mesh:

Year:  2015        PMID: 25564776     DOI: 10.1111/1754-9485.12273

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  5 in total

1.  Correlation between minimum apparent diffusion coefficient values and the histological grade of breast invasive ductal carcinoma.

Authors:  Suhong Zhao; Weihua Guo; Ru Tan; Peipei Chen; Zhaohua Li; Fengguo Sun; Guangrui Shao
Journal:  Oncol Lett       Date:  2018-03-23       Impact factor: 2.967

2.  Is the necrosis/wall ADC ratio useful for the differentiation of benign and malignant breast lesions?

Authors:  Irmak Durur-Subasi; Afak Durur-Karakaya; Adem Karaman; Mehmet Seker; Elif Demirci; Fatih Alper
Journal:  Br J Radiol       Date:  2017-03-24       Impact factor: 3.039

3.  Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-10-15       Impact factor: 4.430

4.  Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI.

Authors:  Ming Ni; Xiaoming Zhou; Jingwei Liu; Haiyang Yu; Yuanxiang Gao; Xuexi Zhang; Zhiming Li
Journal:  BMC Cancer       Date:  2020-11-09       Impact factor: 4.430

5.  Apparent Diffusion Coefficient to Subdivide Breast Imaging Reporting and Data System Magnetic Resonance Imaging (BI-RADS-MRI) Category 4 Lesions.

Authors:  Dandan Liu; Zhaogui Ba; Xiaoli Ni; Linhong Wang; Dexin Yu; Xiangxing Ma
Journal:  Med Sci Monit       Date:  2018-04-12
  5 in total

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