Abstract #1617

Computer aided diagnosis of prostate cancer in central gland using GOIA-sLASER 1H MRS

Neda Gholizadeh¹, Peter B Greer^1,2, John Simpson^1,2, Peter Lau^2,3, Arend Heerschap⁴, and Saadallah Ramadan^1,3

¹The University of Newcastle, Newcastle, Australia, ²Calvary Mater Newcastle, Newcastle, Australia, ³Hunter Medical Research Institute (HMRI), Newcastle, Australia, ⁴Radboud University Medical Center, Nijmegen, Nijmegen, Netherlands

The aim of the work described in this paper is twofold. First, evaluate the efficacy of the GOIA-sLASER magnetic resonance spectroscopic imaging (MRSI) using a 3T MRI scanner in detecting central gland prostate cancer with an external phased-array coil. Second, to develop risk predictor tools using a non-linear support vector machine (SVM) classification algorithm to analyse MRSI data. This research revealed a relatively high accuracy, sensitivity and specificity for pathological discrimination between normal vs cancer, low risk vs high risk cancer and low risk vs intermediate risk cancer using high quality prostate GOIA-sLASER MRSI.

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