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Abstract #2488

Textural analysis of multiparametric MRI detects transition zone prostate cancer

Harbir Singh Sidhu1, Salvatore Benigno1, Balaji Ganeshan2, Nikos Dikaios1, Edward William Johnston1, Clare Allen3, Alex Kirkham3, Ashley M Groves2, Hashim Uddin Ahmed4, Mark Emberton4, Stuart A Taylor1, Steve Halligan1, and Shonit Punwani1

1Centre for Medical Imaging, University College London, London, United Kingdom, 2Institute of Nuclear Medicine, University College London, London, United Kingdom, 3Radiology, University College London Hospital, London, United Kingdom, 4Research Department of Urology, University College London, London, United Kingdom

Transition zone (TZ) prostatic tumors are more difficult for radiologists to detect on multiparametric MRI compared with peripheral zone tumors and are systematically undersampled by conventional transrectal ultrasound biopsy.

Assessment of whole TZ heterogeneity by spatially filtered textural analysis of routinely acquired multiparametric MRI images can discriminate significant tumor without the need to predefine tumors and at no additional burden to patients. TZ containing significant tumors show reduced entropy on coarsely filtered early post contrast T1 and T2 weighted images and reduced kurtosis unfiltered ADC values.

In the future, this could augment radiological interpretation and facilitate computer-aided diagnosis.

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