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Abstract #0547

Diagnostic Modelling of Multi-Parametric MRI as a Radiological Tool to Predict Transition Zone Prostate Cancer

Nikolaos Dikaios1, Taiki Fujiwara2, Mohamed Abd Alazeez3, David Atkinson4, Shonit Punwani2

1Department of Medical Physics and Bioengineering, University College London, London, Greater London, United Kingdom; 2Department of Radiology, University College London Hospital; 3Department of Urology, University College London Hospital; 4Centre for Medical Imaging, University College London

Multi-parametric MRI has a reported sensitivity of 73% and specificity of 89% for detection of tumour within the peripheral zone of the prostate. However, benign prostatic hypertrophy as commonly found in the transition zone produces signal changes that make the radiologists detection of anterior gland tumour more difficult. Our study derived a predictive model for classification of suspected sites of anterior gland disease based on clinical (age, PSA, gland volume, PSA density), quantitative MRI parameters (ADC, contrast enhanced, T2 image signal) and textural features of MR images (entropy, contrast, co-occurance); and compared the performance of this model for detection of tumour against a consensus radiologist opinion.