Literature DB >> 29667880

Motion artifacts, lesion type, and parenchymal enhancement in breast MRI: what does really influence diagnostic accuracy?

Paola Clauser1, Matthias Dietzel2, Michael Weber1, Clemens G Kaiser3, Pascal At Baltzer1.   

Abstract

BACKGROUND: Motion artifacts can reduce image quality of breast magnetic resonance imaging (MRI). There is a lack of data regarding their effect on diagnostic estimates.
PURPOSE: To evaluate factors that potentially influence readers' diagnostic estimates in breast MRI: motion artifacts; amount of fibroglandular tissue; background parenchymal enhancement; lesion size; and lesion type.
MATERIAL AND METHODS: This Institutional Review Board-approved, retrospective, cross-sectional, single-center study included 320 patients (mean age = 55.1 years) with 334 histologically verified breast lesions (139 benign, 195 malignant) who underwent breast MRI. Two expert breast radiologists evaluated the images considering: motion artifacts (1 = minimal to 4 = marked); fibroglandular tissue (BI-RADS FGT); background parenchymal enhancement (BI-RADS BPE); lesion size; lesion type; and BI-RADS score. Univariate (Chi-square) and multivariate (Generalized Estimation Equations [GEE]) statistics were used to identify factors influencing sensitivity, specificity, and accuracy.
RESULTS: Lesions were: 230 mass (68.9%) and 59 non-mass (17.7%), no foci. Forty-five lesions (13.5%) did not enhance in MRI but were suspicious or unclear in conventional imaging. Sensitivity, specificity, and accuracy were 93.8%, 83.4%, and 89.8% for Reader 1 and 95.4%, 87.8%, and 91.9% for Reader 2. Lower sensitivity was observed in case of increased motion artifacts ( P = 0.007), non-mass lesions ( P < 0.001), and small lesions ≤ 10 mm ( P < 0.021). No further factors (e.g. BPE, FGT) significantly influenced diagnostic estimates. At multivariate analysis, lesion type and size were retained as independent factors influencing the diagnostic performance ( P < 0.033).
CONCLUSION: Motion artifacts can impair lesion characterization with breast MRI, but lesion type and small size have the strongest influence on diagnostic estimates.

Entities:  

Keywords:  Breast; artifacts; cross-sectional studies; magnetic resonance imaging; sensitivity; specificity

Mesh:

Year:  2018        PMID: 29667880     DOI: 10.1177/0284185118770918

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


  4 in total

1.  A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging.

Authors:  Liuquan Cheng; Xiru Li; Yuting Zhong; Menglu Li; Jingjin Zhu; Boya Zhang; Mei Liu; Zhili Wang; Jiandong Wang; Yiqiong Zheng
Journal:  Quant Imaging Med Surg       Date:  2022-07

2.  Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy.

Authors:  Paola Clauser; Barbara Krug; Hubert Bickel; Matthias Dietzel; Katja Pinker; Victor-Frederic Neuhaus; Maria Adele Marino; Marco Moschetta; Nicoletta Troiano; Thomas H Helbich; Pascal A T Baltzer
Journal:  Clin Cancer Res       Date:  2021-01-14       Impact factor: 12.531

3.  Breast MRI in the era of diffusion weighted imaging: do we still need signal-intensity time curves?

Authors:  Matthias Dietzel; Stephan Ellmann; Rüdiger Schulz-Wendtland; Paola Clauser; Evelyn Wenkel; Michael Uder; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2019-07-29       Impact factor: 5.315

4.  Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast.

Authors:  Lorenz A Kapsner; Sabine Ohlmeyer; Lukas Folle; Frederik B Laun; Armin M Nagel; Andrzej Liebert; Hannes Schreiter; Matthias W Beckmann; Michael Uder; Evelyn Wenkel; Sebastian Bickelhaupt
Journal:  Eur Radiol       Date:  2022-04-02       Impact factor: 7.034

  4 in total

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