Literature DB >> 26071495

Significance of the ADC ratio in the differential diagnosis of breast lesions.

Jinli Zhao1, Haitao Guan2, Minda Li1, Hongmei Gu1, Jufeng Qin1, Xianhua Wu3.   

Abstract

BACKGROUND: Magnetic resonance imaging (MRI) has high sensitivity but low specificity for breast cancer, and consequently, new techniques to improve the specificity of breast MRI in diagnosing breast cancer are under development.
PURPOSE: To assess the ability of the apparent diffusion coefficient (ADC) compared with the ADC ratio (ADCr) to differentially diagnose benign compared with malignant breast lesions.
MATERIAL AND METHODS: Forty-eight women with breast lesions (average age, 45 years) underwent MRI scanning including T1-weighted dynamic contrast-enhanced (DCE) scanning and diffusion-weighted imaging (DWI). The average ADC and ADCr values for both lesions and pectoralis major muscles (ADCrmuscle and ADCrmuscle) were measured in patients with malignant (n = 25) and benign (n = 23) breast lesions. The ADCr of the contralateral breast (ADCr contralateral) was also evaluated. All histology was confirmed by pathological analysis of biopsied tissue. ADC and ADCr values were analyzed using receiver-operating characteristic (ROC) curves.
RESULTS: For benign lesions compared with malignant lesions, lesion-side ADC was 1.45 vs. 1.05, respectively (P < 0.001), normal-side ADC was 1.82 vs.1.64 (P = 0.002), ADCrmuscle was 1.35 vs. 0.9 (P < 0.001), and ADCrcontralateral was 0.79 vs. 0.64 (P = 0.001). ADCrmuscle showed higher sensitivity (82.61%) and specificity (96.00%) than ADCrcontralateral (60.87% and 92.00%, respectively) and ADC (69.57% and 96.00%) for discriminating malignant from benign lesions. The AUC using ADCrmuscle had higher discriminatory power (0.92, P < 0.001) for malignant versus benign breast lesions compared with either ADC (0.82, P < 0.001) or ADCrcontralateral (0.78, P = 0.001).
CONCLUSION: The ADCrmuscle value showed higher sensitivity and specificity and improved diagnostic accuracy compared with either ADC or ADCrcontralateral in differentiating benign from malignant breast lesions. © The Foundation Acta Radiologica 2015.

Entities:  

Keywords:  ADC ratio; breast; breast cancer; breast lesions; magnetic resonance imaging (MRI)

Mesh:

Substances:

Year:  2015        PMID: 26071495     DOI: 10.1177/0284185115590286

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  7 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.  Magnetic resonance imaging features of idiopathic granulomatous mastitis: is there any contribution of diffusion-weighted imaging in the differential diagnosis?

Authors:  Ravza Yilmaz; Ali Aslan Demir; Atilla Kaplan; Dilek Sahin; Enver Ozkurt; Memduh Dursun; Gulden Acunas
Journal:  Radiol Med       Date:  2016-07-12       Impact factor: 3.469

3.  Short tau inversion recovery in breast diffusion-weighted imaging: signal-to-noise ratio and apparent diffusion coefficients using a breast phantom in comparison with spectral attenuated inversion recovery.

Authors:  Tsukasa Yoshida; Atsushi Urikura; Kensei Shirata; Yoshihiro Nakaya; Masahiro Endo; Shingo Terashima; Yoichiro Hosokawa
Journal:  Radiol Med       Date:  2017-12-11       Impact factor: 3.469

4.  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

5.  Dual-Phase ADC Modelling of Breast Masses in Diffusion-Weighted Imaging: Comparison with Histopathologic Findings.

Authors:  Gökhan Ertaş; Can Onaygil; Onur Buğdaycı; Erkin Arıbal
Journal:  Eur J Breast Health       Date:  2018-04-01

6.  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

7.  Differentiation of breast tuberculosis and breast cancer using diffusion-weighted, T2-weighted and dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Dibuseng P Ramaema; Richard J Hift
Journal:  SA J Radiol       Date:  2018-10-25
  7 in total

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