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Imaging and Pathology Correlations for Different Risk Stratification Models for Intermediate-risk Prostate Cancer
Timothy Ellis-Caleo1, John V Hegde1, Sukhjeet Batth2
1Department of Radiation Oncology, University of California, Los Angeles, CA, U.S.A.
Anticancer Research
|March 19, 2017
Summary
Risk stratification models for intermediate-risk prostate cancer correlate with adverse imaging and pathology findings. These models may help predict worse clinical outcomes in patients with prostate cancer.
Area of Science:
- Urology
- Oncology
- Radiology
Background:
- Intermediate-risk (IR) prostate cancer requires accurate risk stratification to predict outcomes.
- Existing models like Memorial Sloan Kettering Cancer (MSKCC) and Prostate Cancer Risk Stratification (ProCaRS) are used for risk assessment.
Purpose of the Study:
- To evaluate if sub-stratifying intermediate-risk prostate cancer using MSKCC or ProCaRS models predicts adverse imaging or pathologic features.
- To determine the correlation between risk stratification models and adverse findings in intermediate-risk prostate cancer patients.
Main Methods:
- A study of 56 consecutive intermediate-risk prostate cancer patients who underwent multi-parametric MRI (mpMRI) and radical prostatectomy (RP).
- Statistical analysis using 2-sample T-tests assuming unequal variance to correlate risk groups with adverse findings.
- Assessment of imaging (mpMRI) and pathologic features, including index lesion suspicion and maximum tumor diameter (MTD).
Main Results:
- On mpMRI, the MSKCC unfavorable group showed higher index lesion suspicion scores (p=0.044).
- The ProCaRS model identified a higher maximum tumor diameter (MTD) in its high-risk group (p=0.047).
- Pathologic MTD was significantly higher in unfavorable IR patients for both MSKCC (23.3 vs. 17.6 mm, p=0.005) and ProCaRS (26.6 vs. 19.3 mm, p=0.022) models.
Conclusions:
- Both MSKCC and ProCaRS risk stratification models correlate with higher maximum tumor diameter in unfavorable intermediate-risk prostate cancer patients.
- These findings suggest that these models may be valuable in predicting adverse pathologic features and potentially worse clinical outcomes.

