On a fractional order calculus model in diffusion weighted breast imaging to differentiate between malignant and benign breast lesions detected on X-ray screening mammography

Bickelhaupt S, Steudle F, Paech D, Mlynarska A, Kuder TA, Lederer W, Daniel H, Freitag M, Delorme S, Schlemmer HP, Laun FB (2017)

Publication Type: Journal article

Publication year: 2017

Journal

PLoS ONE Public Library of Science

Book Volume: 12

Pages Range: e0176077

Journal Issue: 4

DOI: 10.1371/journal.pone.0176077

Abstract

To evaluate a fractional order calculus (FROC) model in diffusion weighted imaging to differentiate between malignant and benign breast lesions in breast cancer screening work-up using recently introduced parameters (?FROC, DFROC and ?FROC).This retrospective analysis within a prospective IRB-approved study included 51 participants (mean 58.4 years) after written informed consent. All patients had suspicious screening mammograms and indication for biopsy. Prior to biopsy, full diagnostic contrast-enhanced MRI examination was acquired including diffusion-weighted-imaging (DWI, b = 0,100,750,1500 s/mm2). Conventional apparent diffusion coefficient Dapp and FROC parameters (?FROC, DFROC and ?FROC) as suggested further indicators of diffusivity components were measured in benign and malignant lesions. Receiver operating characteristics (ROC) were calculated to evaluate the diagnostic performance of the parameters.29/51 patients histopathologically revealed malignant lesions. The analysis revealed an AUC for Dapp of 0.89 (95% CI 0.80-0.98). For FROC derived parameters, AUC was 0.75 (0.60-0.89) for DFROC, 0.59 (0.43-0.75) for ?FROC and 0.59 (0.42-0.77) for ?FROC. Comparison of the AUC curves revealed a significantly higher AUC of Dapp compared to the FROC parameters DFROC (p = 0.009), ?FROC (p = 0.003) and ?FROC (p = 0.001).In contrast to recent description in brain tumors, the apparent diffusion coefficient Dapp showed a significantly higher AUC than the recently proposed FROC parameters ?FROC, DFROC and ?FROC for differentiating between malignant and benign breast lesions. This might be related to the intrinsic high heterogeneity within breast tissue or to the lower maximal b-value used in our study.

Authors with CRIS profile

Frederik Bernd Laun Professur für quantitative MR-Bildgebung

Involved external institutions

Deutsches Krebsforschungszentrum (DKFZ) DE Germany (DE) ATOS-Praxisklinik Heidelberg DE Germany (DE) RadiologieZentrum Mannheim DE Germany (DE)

How to cite

APA:

Bickelhaupt, S., Steudle, F., Paech, D., Mlynarska, A., Kuder, T.A., Lederer, W.,... Laun, F.B. (2017). On a fractional order calculus model in diffusion weighted breast imaging to differentiate between malignant and benign breast lesions detected on X-ray screening mammography. PLoS ONE, 12(4), e0176077. https://doi.org/10.1371/journal.pone.0176077

MLA:

Bickelhaupt, Sebastian, et al. "On a fractional order calculus model in diffusion weighted breast imaging to differentiate between malignant and benign breast lesions detected on X-ray screening mammography." PLoS ONE 12.4 (2017): e0176077.

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