The spatial distribution of positive cores predicts outcomes of active surveillance in very low risk prostate cancer patients

2017 ◽  
Vol 16 (3) ◽  
pp. e1375-e1377
Author(s):  
A. Erickson ◽  
H. Vasarainen ◽  
T. Mirtti ◽  
A. Rannikko
Keyword(s):  
Prostate Cancer ◽  
Spatial Distribution ◽  
Cancer Patients ◽  
Active Surveillance ◽  
Low Risk ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer

Careful Selection and Close Monitoring of Low-Risk Prostate Cancer Patients on Active Surveillance Minimizes the Need for Treatment

2010 ◽  
Vol 58 (6) ◽  
pp. 831-835 ◽  
Author(s):  
Mark S. Soloway ◽  
Cynthia T. Soloway ◽  
Ahmed Eldefrawy ◽  
Kristell Acosta ◽  
Bruce Kava ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Active Surveillance ◽  
Low Risk ◽  
Close Monitoring ◽  
Careful Selection ◽  
Need For Treatment ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer

scholarly journals Spatial distribution of positive cores improves the selection of patients with low-risk prostate cancer as candidates for active surveillance

2013 ◽  
Vol 112 (4) ◽  
pp. E234-E242 ◽  
Author(s):  
Firas Abdollah ◽  
Nazareno Suardi ◽  
Umberto Capitanio ◽  
Andrea Gallina ◽  
Maxine Sun ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Spatial Distribution ◽  
Active Surveillance ◽  
Low Risk ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer ◽  
Selection Of Patients ◽  
Selection Of

P025 Predictors of upgrading/upsizing in low-risk prostate cancer patients on active surveillance: Validation of a model

2014 ◽  
Vol 13 (5) ◽  
pp. 117-118
Author(s):  
T. Rancati ◽  
M.F. Alvisi ◽  
N. Nicolai ◽  
G. Conti ◽  
M. Gallucci ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Active Surveillance ◽  
Low Risk ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer
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