Radiogenomics in prostate cancer evaluation : Current Opinion in Urology

Radiogenomics in prostate cancer evaluation : Current Opinion in Urology

ARTIFICIAL INTELLIGENCE IN UROLOGY: Edited by Karim Bensalah and Benjamin Pradere

Radiogenomics in prostate cancer evaluation

Thenault, Ronana; Gasmi, Anisa; Khene, Zine-Edinea; Bensalah, Karima; Mathieu, Romaina,b

Author Information
doi: 10.1097/MOU.0000000000000902
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Abstract

Purpose of review 

Radiogenomics, fusion between radiomics and genomics, represents a new field of research to improve cancer comprehension and evaluation. In this review, we give an overview of radiogenomics and its most recent and relevant applications in prostate cancer management.

Recent findings 

Literature about radiogenomics in prostate cancer emerged last 5 years but remains scarce. Radiogenomics in prostate cancer mainly rely on MRI-based features. Several imaging biomarkers, mostly based on the identification of radiomic features from deep learning studies, have been studied for the prediction of genomic profiles, such as PTEN Decipher Oncotype DX or Prolaris expression. However, despite promising results, several limitations still preclude any integration of radiogenomics in daily practice.

Summary 

In the future, the emergence of artificial intelligence in urology, with an increasing use of radiomics and genomics data, may enable radiogenomics to assume a growing role in the evaluation of prostate cancer, with a noninvasive and personal approach in the field of personalized medicine. Further efforts are necessary for integration of this promising approach in prostate cancer decision-making

 

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