Literature DB >> 25148175

Breast cancer detection using double reading of unenhanced MRI including T1-weighted, T2-weighted STIR, and diffusion-weighted imaging: a proof of concept study.

Rubina M Trimboli1, Nicola Verardi, Francesco Cartia, Luca A Carbonaro, Francesco Sardanelli.   

Abstract

OBJECTIVE: The purpose of this study was to investigate the diagnostic performance of unenhanced MRI in detecting breast cancer and to assess the impact of double reading.
MATERIALS AND METHODS: A total of 116 breasts of 67 women who were 36-89 years old were studied at 1.5 T using an unenhanced protocol including axial T1-weighted gradient-echo, T2-weighted STIR, and echo-planar diffusion-weighted imaging (DWI). Two blinded readers (R1 and R2) independently evaluated unenhanced images using the BIRADS scale. A combination of pathology and negative follow-up served as the reference standard. McNemar and kappa statistics were used.
RESULTS: Per-breast cancer prevalence was 37 of 116 (32%): 30 of 37 (81%) invasive ductal carcinoma, five of 37 (13%) ductal carcinoma in situ, and two of 37 (6%) invasive lobular carcinoma. Per-breast sensitivity of unenhanced MRI was 29 of 37 (78%) for R1, 28 of 37 (76%) for R2, and 29 of 37 (78%) for double reading. Specificity was 71 of 79 (90%) for both R1 and R2 and 69 of 79 (87%) for double reading. Double reading did not provide a significant increase in sensitivity. Interobserver agreement was almost perfect (Cohen κ = 0.873).
CONCLUSION: An unenhanced breast MRI protocol composed of T1-weighted gradient echo, T2-weighted STIR, and echo-planar DWI enabled breast cancer detection with sensitivity of 76-78% and specificity of 90% without a gain in sensitivity from double reading.

Entities:  

Keywords:  MRI; breast cancer; diffusion-weighted imaging (DWI); double reading; sensitivity; specificity

Mesh:

Substances:

Year:  2014        PMID: 25148175     DOI: 10.2214/AJR.13.11816

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  30 in total

1.  Can unenhanced breast MRI be used to decrease negative biopsy rates?

Authors:  Sibel Kul; Şükrü Oğuz; İlker Eyüboğlu; Özlem Kömürcüoğlu
Journal:  Diagn Interv Radiol       Date:  2015 Jul-Aug       Impact factor: 2.630

2.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

3.  Diffusion-weighted breast imaging.

Authors:  K Deike-Hofmann; T Kuder; F König; D Paech; C Dreher; S Delorme; H-P Schlemmer; S Bickelhaupt
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

4.  Visibility of mammographically occult breast cancer on diffusion-weighted MRI versus ultrasound.

Authors:  Nita Amornsiripanitch; Habib Rahbar; Averi E Kitsch; Diana L Lam; Brett Weitzel; Savannah C Partridge
Journal:  Clin Imaging       Date:  2017-10-28       Impact factor: 1.605

Review 5.  Abbreviated MR Imaging for Breast Cancer.

Authors:  Laura Heacock; Alana A Lewin; Hildegard K Toth; Linda Moy; Beatriu Reig
Journal:  Radiol Clin North Am       Date:  2020-11-02       Impact factor: 2.303

6.  Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

Authors:  Nita Amornsiripanitch; Sebastian Bickelhaupt; Hee Jung Shin; Madeline Dang; Habib Rahbar; Katja Pinker; Savannah C Partridge
Journal:  Radiology       Date:  2019-10-08       Impact factor: 11.105

Review 7.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

8.  Independent value of image fusion in unenhanced breast MRI using diffusion-weighted and morphological T2-weighted images for lesion characterization in patients with recently detected BI-RADS 4/5 x-ray mammography findings.

Authors:  Sebastian Bickelhaupt; Jana Tesdorff; Frederik Bernd Laun; Tristan Anselm Kuder; Wolfgang Lederer; Susanne Teiner; Klaus Maier-Hein; Heidi Daniel; Anne Stieber; Stefan Delorme; Heinz-Peter Schlemmer
Journal:  Eur Radiol       Date:  2016-05-18       Impact factor: 5.315

9.  Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer.

Authors:  Juan Huang; Jianqun Yu; Yulan Peng
Journal:  Oncol Lett       Date:  2016-04-07       Impact factor: 2.967

10.  Potential of Noncontrast Magnetic Resonance Imaging With Diffusion-Weighted Imaging in Characterization of Breast Lesions: Intraindividual Comparison With Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Pascal A T Baltzer; Hubert Bickel; Claudio Spick; Georg Wengert; Ramona Woitek; Panagiotis Kapetas; Paola Clauser; Thomas H Helbich; Katja Pinker
Journal:  Invest Radiol       Date:  2018-04       Impact factor: 6.016

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