Dr. Marc Bjurlin on Predictive Models for Prostate Cancer Risk

Marc Bjurlin, DO
Published: Tuesday, Jun 28, 2016



Marc Bjurlin, DO, clinical assistant professor, department of urology, New York University (NYU) Langone Medical Center, discusses predictive models for prostate cancer risk.
 
One of the controversies in prostate cancer is which men require a prostate biopsy and of those men, which have a risk of having clinically significant cancer that warrants treatment, explained Bjurlin.
 
Bjurlin’s team built predictive models that can determine the likelihood of having cancer and of having high-risk disease. They did this using several different clinical parameters, including a multiparametric MRI of the prostate. This is used in conjunction with PSA and family history to determine if patients should get a biopsy and their likelihood of having clinically significant prostate cancer.
 


Marc Bjurlin, DO, clinical assistant professor, department of urology, New York University (NYU) Langone Medical Center, discusses predictive models for prostate cancer risk.
 
One of the controversies in prostate cancer is which men require a prostate biopsy and of those men, which have a risk of having clinically significant cancer that warrants treatment, explained Bjurlin.
 
Bjurlin’s team built predictive models that can determine the likelihood of having cancer and of having high-risk disease. They did this using several different clinical parameters, including a multiparametric MRI of the prostate. This is used in conjunction with PSA and family history to determine if patients should get a biopsy and their likelihood of having clinically significant prostate cancer.
 

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Clinical Vignette Series: 34th Annual Chemotherapy Foundation Symposium: Innovative Cancer Therapy for Tomorrow®Feb 28, 20182.0
Community Practice Connections™: Personalized Sequencing in Castration-Resistant Prostate Cancer: Bridging the Latest Evidence to the Bedside in Clinical ManagementAug 25, 20181.5
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