Predicting extracapsular involvement in prostate cancer through the tumor contact length and the apparent diffusion...

Area of Science:

• Radiology
• Oncology
• Medical Imaging

Background:

• Accurate staging of prostate cancer is crucial for treatment planning.
• Microscopic extracapsular extension (ECE) is a key factor influencing treatment decisions.
• Multiparametric MRI (mpMRI) is increasingly used in prostate cancer assessment.

Purpose of the Study:

• To evaluate the diagnostic performance of the apparent diffusion coefficient (ADC) map and tumor contact length (LTC) in predicting microscopic ECE.
• To assess the combined diagnostic utility of ADC and LTC for microscopic ECE detection.
• To determine the accuracy of these quantitative MRI measures in patients undergoing radical prostatectomy.

Main Methods:

• Retrospective analysis of 92 moderate-to-high risk prostate cancer patients.
• Utilized receiver operating characteristic (ROC) curves to assess diagnostic performance.
• Evaluated ADC map values and LTC measurements as predictors of microscopic ECE.

Main Results:

• The ADC map showed an area under the ROC curve (AUC) of 72% (sensitivity 83%, specificity 61%).
• The LTC demonstrated an AUC of 74% (sensitivity 91%, specificity 57%).
• Combining ADC and LTC improved AUC to 77% (sensitivity 77%, specificity 61%). A logistic regression model achieved an AUC of 82%.

Conclusions:

• Quantitative measures like ADC and LTC enhance diagnostic accuracy in prostate cancer staging.
• Both ADC values and LTC are significant predictors of microscopic ECE.
• The combination of ADC and LTC provides the best diagnostic performance for predicting microscopic ECE.