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Abstract #3661

Assessment the Preponderant Diagnostic Performances of Oligometastatic Prostate Cancer Using Diffusion Kurtosis Imaging

Suhong Qin1, Ailian Liu1, SHUANG MENG1, Lihua Chen1, Qinhe Zhang1, Qingwei Song1, and Yunsong Liu1
1The First Affiliated Hospital of Dalian Medical University, Dalian, China

It remains a challenge to diagnose the oligometastatic prostate cancer (PCa) due to the ambiguous definition of oligometastatic PCa. Previous studies had shown that diffusion kurtosis imaging (DKI) is a non-gaussian diffusion weighted imaging (DWI) method that yields more accurate results on the microstructural complexity of prostate cancer tissue structure. This study indicated that performances of DKI cannot differentiate between oligometastatic and widely metastatic PCa, however it has the potential to assess tumor load and aggressiveness in metastatic PCa.

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