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Published on: February 6, 2019
A comparison of the single and double factor high-risk models for risk assignment of prostate cancer treated with 3D
Derek B Chism1, Alexandra L Hanlon, Eric M Horwitz
1Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA 19111-2497, USA.
Purpose:
Two models for stratification of prostate cancer aggressiveness predominate for the purposes of daily treatment decision making. This study investigates the relationships between these two clinically popular models.
Methods:
Both risk stratification models use the same definition for low risk: Gleason score (GS)
Results:
The 5-year actuarial FFBF rate for the low-risk group was 83%. The SF model resulted in FFBF rates of 76% and 47% for IR and HR patients respectively. The DF model resulted in FFBF rates of 70% and 52% for IR and HR patients, respectively. The FFBF rate for patients defined as IR and HR by both models was 76% and 40%, respectively. Those classified as IR by the DF model and then further subdivided into IR and HR by the SF model had a 76% and 52% 5-year FFBF rate (p = 0.0004). Those classified as HR by the DF model and then further subdivided into IR and HR by the SF model had a 71% and 40% 5-year FFBF (p = 0.0014).
Conclusions:
The SF model created prognostic groups with a greater internal consistency than the DF model. The SF was also better at identifying patients with high-risk prostate cancer who may benefit from a more aggressive approach.
