Applicability and discriminative value of a semiautomatic three-dimensional spherical volume for the assessment of the apparent diffusion coefficient in suspicious breast lesions: feasibility study

To evaluate the feasibility and accuracy of a semiautomatic, three-dimensional volume of interest (3D sphere) for measuring the apparent diffusion coefficient (ADC) in suspicious breast lesions compared to conventional single-slice two-dimensional regions of interest (2D ROIs). This institutional-re...

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Hauptverfasser: Hering, Jan (VerfasserIn) , Stieber, Anne (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 30 August 2016
In: Clinical imaging
Year: 2016, Jahrgang: 40, Heft: 6, Pages: 1280-1285
ISSN:1873-4499
DOI:10.1016/j.clinimag.2016.08.022
Online-Zugang:Verlag, Volltext: http://dx.doi.org/10.1016/j.clinimag.2016.08.022
Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0899707116301176
Volltext
Verfasserangaben:Jan Hering, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Anne Stieber, Stefan Delorme, Klaus H. Maier-Hein, Heinz-Peter Schlemmer, Sebastian Bickelhaupt

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520 |a To evaluate the feasibility and accuracy of a semiautomatic, three-dimensional volume of interest (3D sphere) for measuring the apparent diffusion coefficient (ADC) in suspicious breast lesions compared to conventional single-slice two-dimensional regions of interest (2D ROIs). This institutional-review-board-approved study included 56 participants with Breast Imaging Reporting and Data System 4/5 lesion. All received diffusion-weighted imaging magnetic resonance imaging prior to biopsy (b=0-1500 s/mm2). ADC values were measured in the lesions with both methods. Reproducibility and accuracies were compared. Area under the curve was 0.93 [95% confidence interval (CI) 0.86-0.99] for the 3D sphere and 0.91 (95% CI 0.84-0.98) for the 2D ROIs without significantly differing reproducibility (P=.45). A semiautomatic 3D sphere could reliably estimate ADC values in suspicious breast lesions without significant difference compared to conventional 2D ROIs. 
650 4 |a Automatic lesion analysis 
650 4 |a Breast cancer 
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650 4 |a Diffusion-weighted imaging (DWI) 
650 4 |a Spherical metrics 
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