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Susceptibility-weighted images are an additional tool in clinical practice for determining the correct diagnosis. The differentiation between glioblastomas and lymphomas and the certainty of the determined diagnosis are better. Therefore, we recommend adding susceptibility-weighted imaging to the clinical MR tumor protocol.

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For datasets achieved with an SVP and an optimized RTP, this experimental approach showed comparable accuracy, reproducibility, and interobserver variability to allow for sufficient volumetric analysis of pulmonary lesions.

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