1. Diffusion kurtosis imaging does not improve differentiation performance of breast lesions in a short clinical protocol
- Author
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Maxim Zaitsev, Bernhard Hensel, Frederik Bernd Laun, Michael Uder, Elisabeth Weiland, Mark E. Ladd, Sabine Ohlmeyer, Sebastian Bickelhaupt, Evelyn Wenkel, Theresa Palm, and Rolf Janka
- Subjects
Normal Distribution ,Biomedical Engineering ,Biophysics ,Breast Neoplasms ,Therapy planning ,Sensitivity and Specificity ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Clinical Protocols ,Image Interpretation, Computer-Assisted ,Medical imaging ,Humans ,Effective diffusion coefficient ,Medicine ,Radiology, Nuclear Medicine and imaging ,Breast ,Diffusion Kurtosis Imaging ,business.industry ,Reproducibility of Results ,Total measurement ,Diffusion-Weighted Magnetic Resonance Imaging ,body regions ,Diffusion Magnetic Resonance Imaging ,ROC Curve ,Area Under Curve ,Female ,Neoplasm Grading ,Nuclear medicine ,business ,Algorithms ,030217 neurology & neurosurgery - Abstract
Background Diffusion weighted magnetic resonance imaging (DWI) is known to differentiate between malignant and benign lesions via the apparent diffusion coefficient (ADC). Here, the value of diffusion kurtosis imaging (DKI) for differentiation and further characterization of benign and malignant breast lesions and their subtypes in a clinically feasible protocol is investigated. Material and methods This study included 85 patients (with 68 malignant and 73 benign lesions) who underwent 3 T breast DWI using three b values (50, 750, 1500 s/mm2), with a total measurement time Results ADC, DK and K showed significant differences between malignant and benign lesions (p Conclusion DKI parameters and conventional ADC can differentiate between malignant and benign lesions. Differentiation performance was best for ADC. Different tumor grades were significantly different in ADC and DK, which may have an impact on therapy planning and monitoring. In our study, K did not add value to the diagnostic performance of DWI in a clinical setting.
- Published
- 2019