Literature DB >> 26899149

MRI in the differential diagnosis of primary architectural distortion detected by mammography.

Lifang Si1, Renyou Zhai, Xiaojuan Liu, Kaiyan Yang, Li Wang, Tao Jiang.   

Abstract

PURPOSE: We aimed to evaluate the diagnostic accuracy of a combination of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and apparent diffusion coefficient (ADC) values in lesions that manifest with architectural distortion (AD) on mammography.
METHODS: All full-field digital mammography (FFDM) images obtained between August 2010 and January 2013 were reviewed retrospectively, and 57 lesions showing AD were included in the study. Two independent radiologists reviewed all mammograms and MRI data and recorded lesion characteristics according to the BI-RADS lexicon. The gold standard was histopathologic results from biopsies or surgical excisions and results of the two-year follow-up. Receiver operating characteristic curve analysis was carried out to define the most effective threshold ADC value to differentiate malignant from benign breast lesions. We investigated the sensitivity and specificity of FFDM, DCE-MRI, FFDM+DCE-MRI, and DCE-MRI+ADC.
RESULTS: Of the 57 lesions analyzed, 28 were malignant and 29 were benign. The most effective threshold for the normalized ADC (nADC) was 0.61 with 93.1% sensitivity and 75.0% specificity. The sensitivity and specificity of DCE-MRI combined with nADC was 92.9% and 79.3%, respectively. DCE-MRI combined with nADC showed the highest specificity and equal sensitivity compared with other modalities, independent of the presentation of calcification.
CONCLUSION: DCE-MRI combined with nADC values was more reliable than mammography in differentiating the nature of disease manifesting as primary AD on mammography.

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Year:  2016        PMID: 26899149      PMCID: PMC4790065          DOI: 10.5152/dir.2016.15017

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  42 in total

1.  False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study.

Authors:  Pascal A T Baltzer; Matthias Benndorf; Matthias Dietzel; Mieczyslaw Gajda; Ingo B Runnebaum; Werner A Kaiser
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

2.  Meta-analysis of MR imaging in the diagnosis of breast lesions.

Authors:  Nicky H G M Peters; Inne H M Borel Rinkes; Nicolaas P A Zuithoff; Willem P T M Mali; Karel G M Moons; Petra H M Peeters
Journal:  Radiology       Date:  2007-11-16       Impact factor: 11.105

3.  Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values.

Authors:  Fernanda Philadelpho Arantes Pereira; Gabriela Martins; Eduardo Figueiredo; Marisa Nassar Aidar Domingues; Romeu Cortes Domingues; Lea Mirian Barbosa da Fonseca; Emerson Leandro Gasparetto
Journal:  AJR Am J Roentgenol       Date:  2009-10       Impact factor: 3.959

4.  Differential diagnosis of mammographically and clinically occult breast lesions on diffusion-weighted MRI.

Authors:  Savannah C Partridge; Wendy B Demartini; Brenda F Kurland; Peter R Eby; Steven W White; Constance D Lehman
Journal:  J Magn Reson Imaging       Date:  2010-03       Impact factor: 4.813

5.  The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma.

Authors:  Zhang Yili; Huang Xiaoyan; Du Hongwen; Zhang Yun; Chen Xin; Wang Peng; Guo Youmin
Journal:  BMC Cancer       Date:  2009-01-14       Impact factor: 4.430

6.  Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3 T.

Authors:  Gladys G Lo; Victor Ai; John K F Chan; K W Li; Polly S Y Cheung; T T Wong; Micheal Ma; Raymond Lee; Daisy Chien
Journal:  J Comput Assist Tomogr       Date:  2009 Jan-Feb       Impact factor: 1.826

Review 7.  Magnetic resonance (MR) differential diagnosis of breast tumors using apparent diffusion coefficient (ADC) on 1.5-T.

Authors:  Yoshito Tsushima; Ayako Takahashi-Taketomi; Keigo Endo
Journal:  J Magn Reson Imaging       Date:  2009-08       Impact factor: 4.813

8.  Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.

Authors:  Sung Hun Kim; Eun Suk Cha; Hyeon Sook Kim; Bong Joo Kang; Jae Jeong Choi; Ji Han Jung; Yong Gyu Park; Young Jin Suh
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

9.  Pure ductal carcinoma in situ: kinetic and morphologic MR characteristics compared with mammographic appearance and nuclear grade.

Authors:  Sanaz A Jansen; Gillian M Newstead; Hiroyuki Abe; Akiko Shimauchi; Robert A Schmidt; Gregory S Karczmar
Journal:  Radiology       Date:  2007-12       Impact factor: 11.105

10.  Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.

Authors:  Hidetake Yabuuchi; Yoshio Matsuo; Takashi Okafuji; Takeshi Kamitani; Hiroyasu Soeda; Taro Setoguchi; Shuji Sakai; Masamitsu Hatakenaka; Makoto Kubo; Noriaki Sadanaga; Hidetaka Yamamoto; Hiroshi Honda
Journal:  J Magn Reson Imaging       Date:  2008-11       Impact factor: 4.813

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  2 in total

Review 1.  Diagnostic Performance of Breast Magnetic Resonance Imaging in Non-Calcified Equivocal Breast Findings: Results from a Systematic Review and Meta-Analysis.

Authors:  Barbara Bennani-Baiti; Nabila Bennani-Baiti; Pascal A Baltzer
Journal:  PLoS One       Date:  2016-08-02       Impact factor: 3.240

2.  Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors.

Authors:  Bin Zhang; Lirong Song; Jiandong Yin
Journal:  Front Oncol       Date:  2021-07-08       Impact factor: 6.244

  2 in total

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