Evaluating the Quality of Local Programs for Early Detection of Significant Prostate Cancer
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.A new quality control method using the area under the curve (AUC) can identify centers needing to improve prostate cancer detection. This ensures reliable screening for significant prostate cancer (sPCa) using Prostate Imaging-Reporting and Data System (PI-RADS) assessments.
Area Of Science
- Radiology
- Oncology
- Medical Diagnostics
Background
- Quality control is crucial for effective prostate cancer screening programs.
- Standardized Prostate Imaging-Reporting and Data System (PI-RADS) assessments are key for detecting significant prostate cancer (sPCa).
- Evaluating the performance of participating centers is essential for maintaining program integrity.
Purpose Of The Study
- To assess the quality control of early detection programs for significant prostate cancer (sPCa).
- To evaluate the utility of the Barcelona magnetic resonance imaging (MRI) predictive model's area under the receiver operating characteristic curve (AUC) for screening center quality.
- To establish a criterion for suboptimal quality in sPCa detection centers.
Main Methods
- Utilized the AUC of the Barcelona MRI predictive model to screen ten centers in an sPCa early detection program.
- Defined suboptimal quality as an AUC < 0.8.
- Assessed quality by correlating actual sPCa detection rates with reference 95% confidence intervals (CIs) for PI-RADS categories.
- Analyzed data from 2624 men undergoing multiparametric MRI and biopsies.
Main Results
- AUC values across centers ranged from 0.527 to 0.914.
- Four centers (40%) exhibited suboptimal quality with AUC < 0.8.
- Concordance between detection rates and 95% CIs improved with higher AUC values (1-2 PI-RADS categories for AUC < 0.8, 3-4 categories for AUC ≥ 0.8).
Conclusions
- The AUC-based method effectively screens quality control for prostate cancer detection centers.
- Centers with suboptimal quality (AUC < 0.8) require a review of their sPCa detection procedures.
- This quality control approach supports the reliability of opportunistic early detection programs for significant prostate cancer.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.