Magnetic resonance imaging for the detection, localisation, and characterisation of prostate cancer: recommendations from a European consensus meeting.

By L. Dickinson, Hashim Uddin Ahmed, C. Allen, Jelle O. Barentsz, B. Carey, J. Futterer, S. Heijmink, P. Hoskin, A. Kirkham, Anwar R. Padhani and 8 more. European Urology, 2011

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ESUR prostate MR guidelines 2012 (2012, background): “Thus far optimal acquisition and evaluation have not been agreed [5], and as is often the case in clinical practice, it is not satisfactory to await conclusions from large scale imaging and oncological trials.”
Weakly-supervised convolutional neural networks for multimodal image registration (2018, methodology): “Multi-parametric MR imaging (Dickinson et al., 2011), including recent development of hyperpolarised imaging (Wilson and Kurhanewicz, 2014) and computational methods based on diffusion-weighted imaging (Panagiotaki et al.”
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge (2013, background): “In MRI images, the pixel/voxel intensities and therefore appearance characteristics of the prostate can greatly differ between acquisition protocols, ﬁeld strengths and scanners (Dickinson et al., 2011; Barentsz et al., 2012).”
Image-guided prostate biopsy using magnetic resonance imaging-derived targets: a systematic review. (2013, background): “MR reporting that incorporates a probabilistic clinometric scale (defining thresholds for the likelihood of clinically relevant disease) has been proposed [5,24] and recommended by a number of groups [25,26].”
Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature. (2015, methodology): “MR spectroscopy was used in one study [36].”