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Bickelhaupt S, Steudle F, Paech D, Mlynarska A, Kuder TA, Lederer W, Daniel H, Freitag M, Delorme S, Schlemmer HP, Laun FB. 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 2017; 12:e0176077. [PMID: 28453516 PMCID: PMC5409173 DOI: 10.1371/journal.pone.0176077] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 04/05/2017] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE 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 (βFROC, DFROC and μFROC). MATERIALS AND METHODS 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 (βFROC, DFROC and μFROC) 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. RESULTS 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 βFROC and 0.59 (0.42-0.77) for μFROC. Comparison of the AUC curves revealed a significantly higher AUC of Dapp compared to the FROC parameters DFROC (p = 0.009), βFROC (p = 0.003) and μFROC (p = 0.001). CONCLUSION In contrast to recent description in brain tumors, the apparent diffusion coefficient Dapp showed a significantly higher AUC than the recently proposed FROC parameters βFROC, DFROC and μFROC 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.
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Affiliation(s)
- Sebastian Bickelhaupt
- German Cancer Research Center (dkfz), Department of Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Franziska Steudle
- German Cancer Research Center (dkfz), Department of Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Daniel Paech
- German Cancer Research Center (dkfz), Department of Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Anna Mlynarska
- German Cancer Research Center (dkfz), Medical Physics in Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Tristan Anselm Kuder
- German Cancer Research Center (dkfz), Medical Physics in Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Wolfgang Lederer
- Radiological Clinic at the ATOS Clinic Heidelberg, Heidelberg, Bismarckplatz 9–15, Heidelberg, Germany
| | - Heidi Daniel
- Radiology Center Mannheim (RZM), Mannheim, Rosengartenplatz 7, Mannheim, Germany
| | - Martin Freitag
- German Cancer Research Center (dkfz), Department of Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Stefan Delorme
- German Cancer Research Center (dkfz), Department of Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Heinz-Peter Schlemmer
- German Cancer Research Center (dkfz), Department of Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Frederik Bernd Laun
- German Cancer Research Center (dkfz), Medical Physics in Radiology, Heidelberg, Im Neuenheimer Feld 280, Heidelberg, Germany
- University Hospital Erlangen, Department of Radiology, Maximiliansplatz 3, Erlangen, Germany
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