1.Diagnostic value of Likert and EPE grade scoring for extracapsular extension in prostate cancer
Junguang WANG ; Junbo CHEN ; Li HUANG ; Peipei HE ; Bintian HUANG
Journal of Practical Radiology 2024;40(4):602-605
Objective To explore the diagnostic value of Likert score and EPE grade score based on multiparameter magnetic resonance imaging(mpMRI)for extracapsular extension in prostate cancer(PCa).Methods The MR imaging and histopathology data from 272 PCa patients were analyzed retrospectively.All patients underwent mpMRI examination within 2 months before radical prostatectomy.Two radiologists with over 10 years of experience assessed the mpMRI images according to the Likert score and EPE grade score,respectively,and compared with pathological findings.The consistency between the two radiologists was evaluated by weighted Kappa test.The statistical analysis was performed using MedCalc 20.0 software.The sensitivity,specificity and other indicators were calculated to analyze the optimal cut-off value of Likert score and EPE grade score for diagnosing extracapsular extension in PCa.The area under the curve(AUC)was used to compare the diagnostic performance of the two scoring systems for extracapsular extension in PCa.Results Among 272 PCa patients,there were 45 cases with extracapsular extension and 227 cases without extracapsular extension.The weighted Kappa coefficients were 0.730 and 0.820 for Likert score and EPE grade score,respectively,indicating good consistency.The optimal cut-off values for diagnosing extracapsular extension in PCa were Likert score 3 and EPE grade score 2.The sensitivity and specificity were 68.8%and 77.5%for Likert score 3,and 64.4%and 84.5%for EPE grade score 2,respectively.Both Likert score(AUC=0.780)and EPE grade score(AUC=0.797)had high accuracy in predicting extracapsular extension in PCa,with no significant difference(P>0.05).Conclusion Both Likert score and EPE grade score have good diagnostic performance in detecting extracapsular extension in PCa,which provides important diagnostic basis for clinical staging of PCa.