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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