MRI Extraprostatic Extension Grade: Accuracy and Clinical Incremental Value in the Assessment of Extraprostatic...

Area of Science:

• Urology
• Radiology
• Oncology

Background:

• Accurate prediction of extraprostatic extension (EPE) in prostate cancer is crucial for treatment planning.
• Magnetic resonance imaging (MRI) is increasingly used to assess EPE before radical prostatectomy.

Purpose of the Study:

• To compare the accuracy of MRI-derived EPE grade in predicting pathological EPE against established models like Partin tables and Memorial Sloan Kettering Cancer Center nomogram (MSKCCn).
• To evaluate the clinical incremental value of incorporating EPE grade into these predictive models.

Main Methods:

• Retrospective analysis of 105 prostate cancer patients undergoing radical prostatectomy.
• Evaluation of EPE grade using established criteria and calculation of predictive probabilities using Partin tables and MSKCCn.
• Development of combined models: EPE grade + Partin tables and EPE grade + MSKCCn.
• Comparison of diagnostic efficacy using Area Under the Curve (AUC), sensitivity, and specificity.
• Analysis of clinical utility using decision curves.

Main Results:

• The AUC for EPE grade was 0.79, MSKCCn was 0.78, and the combined EPE grade + MSKCCn model was 0.83.
• Combining EPE grade with Partin tables and MSKCCn significantly improved diagnostic efficiency (P < 0.05).
• The combined model demonstrated good calibration and significantly increased clinical net income compared to individual models.

Conclusions:

• MRI-derived EPE grade is a highly accurate predictor of pathological EPE in prostate cancer.
• Integration of EPE grade with clinical models substantially enhances diagnostic performance and clinical benefit.
• The combined EPE grade + MSKCCn model shows particular promise for improving preoperative risk stratification.