Literature DB >> 25457520

Apparent diffusion coefficient (ADC) value to evaluate BI-RADS 4 breast lesions: correlation with pathological findings.

Yazmín Aseret Ramírez-Galván, Servando Cardona-Huerta, Elfa Ibarra-Fombona, Guillermo Elizondo-Riojas.   

Abstract

Diffusion-weighted imaging and apparent diffusion coefficient (ADC) of 36 breast lesions previously categorized as 4 according to the Breast Imaging Reporting and Data System (BI-RADS) were prospectively studied. The pathological results were 21 benign lesions and 15 malignant. The ADC of malignant lesions was significantly lower than that of the benign ones (0.87 ± 0.12 × 10(-3) mm(2)/s vs. 1.41 ± 0.22 × 10(-3) mm(2)/s, respectively) (P<.001). Using a threshold ADC value of 1.08 × 10(-3) mm(2)/s, a sensitivity of 95% and specificity of 100% were obtained.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  ADC; BI-RADS 4; Breast MRI; Breast biopsy; DWI

Mesh:

Year:  2014        PMID: 25457520     DOI: 10.1016/j.clinimag.2014.09.015

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  9 in total

1.  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

2.  Coronal diffusion-weighted magnetic resonance imaging of the kidney: agreement with axial diffusion-weighted magnetic imaging in terms of apparent diffusion coefficient values.

Authors:  Hai-Yi Wang; Jia Wang; Ye-Huan Tang; Hui-Yi Ye; Lin Ma
Journal:  Chin Med J (Engl)       Date:  2015-02-20       Impact factor: 2.628

3.  Diffusion-weighted imaging in relation to morphology on dynamic contrast enhancement MRI: the diagnostic value of characterizing non-puerperal mastitis.

Authors:  Lina Zhang; Jiani Hu; Nicholas Guys; Jinli Meng; Jianguo Chu; Weisheng Zhang; Ailian Liu; Shaowu Wang; Qingwei Song
Journal:  Eur Radiol       Date:  2017-09-27       Impact factor: 5.315

4.  A radiomic nomogram based on an apparent diffusion coefficient map for differential diagnosis of suspicious breast findings.

Authors:  Bin Hu; Ke Xu; Zheng Zhang; Ruimei Chai; Shu Li; Lina Zhang
Journal:  Chin J Cancer Res       Date:  2018-08       Impact factor: 5.087

5.  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

6.  A Comparative Assessment of MR BI-RADS 4 Breast Lesions With Kaiser Score and Apparent Diffusion Coefficient Value.

Authors:  Lingsong Meng; Xin Zhao; Lin Lu; Qingna Xing; Kaiyu Wang; Yafei Guo; Honglei Shang; Yan Chen; Mengyue Huang; Yongbing Sun; Xiaoan Zhang
Journal:  Front Oncol       Date:  2021-12-02       Impact factor: 6.244

7.  Apparent diffusion coefficient values in borderline breast lesions upgraded and not upgraded at definitive histopathological examination after surgical excision.

Authors:  Corrado Tagliati; Paola Piccinni; Paola Ercolani; Elisabetta Marconi; Barbara Franca Simonetti; Gian Marco Giuseppetti; Andrea Giovagnoni
Journal:  Pol J Radiol       Date:  2021-04-30

8.  Two Different Methods of Region-of-Interest Placement for Differentiation of Benign and Malignant Breast Lesions by Apparent Diffusion Coefficient Value

Authors:  Masoumeh Gity; Behnaz Moradi; Rasool Arami; Ali Arabkheradmand; Mohamad Ali Kazemi
Journal:  Asian Pac J Cancer Prev       Date:  2018-10-26

Review 9.  Gauging the Impact of Cancer Treatment Modalities on Circulating Tumor Cells (CTCs).

Authors:  Trevor J Mathias; Katarina T Chang; Stuart S Martin; Michele I Vitolo
Journal:  Cancers (Basel)       Date:  2020-03-21       Impact factor: 6.575

  9 in total

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