Difference between prostate cancer patients'Gleason scores from preoperative biopsy and those from postoperative pathology
10.13263/j.cnki.nja.2023.05.002
- VernacularTitle:前列腺癌穿刺活检组织与根治术后病理标本Gleason评分的差异性分析
- Author:
Xiao-Dong ZHAO
1
;
You-Huang LIU
;
Jun HU
;
Zu-Heng WANG
;
Xiao-Xu JIN
;
Meng-Fei MA
;
Yu-Lin ZHOU
;
Yu-Hao CHEN
;
Jie CAO
;
Jie DONG
;
Song XU
Author Information
1. 南京医科大学金陵临床医学院,江苏南京 210002
- Keywords:
prostate cancer;
puncture biopsy;
postoperative pathology;
Gleason score;
predictive model
- From:
National Journal of Andrology
2023;29(5):393-401
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the consistency of the Gleason scores of PCa patients based on preoperative biopsy with those from postoperative pathology,identify the possible factors influencing results of scoring,and construct a risk scoring model.Meth-ods:We collected the demographic and clinical data on the patients with PCa confirmed by preoperative prostate biopsy or postoperative pathology and treated by radical prostatectomy within 6 months after diagnosis.Using paired sample t-test,we identified the difference between the Gleason scores based on preoperative biopsy and those from postoperative pathology,analyzed the demographic and clinical data on the patients for relevant factors affecting the consistency of the Gleason scores,and calculated and visualized the relative risk values of the factors through Poisson regression.From the continuous variables with statistical significance,we screened independent risk factors for the difference in the Gleason scores by Lasso regression analysis,established a risk scoring model,generated risk coeffi-cients,and evaluated the predictive ability of the model using the ROC curve.Based on the results of imaging examination with statisti-cally significant differences,we constructed a column chart by logistic regression and evaluated the predictive validity of the chart using calibration curves,decision curves and ROC curves.Results:The results of paired sample t-test for 210 PCa patients showed statisti-cally significant differences between the Gleason scores from preoperative biopsy and those from postoperative pathology(P＜0.001).There were significant differences in the body weight,BMI and PSA level as well as in all other factors but prostate calcification be-tween the patients with consistent and those with inconsistent Gleason scores(all P＜0.05).An 8-factor prediction model was suc-cessfully constructed,which could predict the consistency of Gleason scores,with a better predicting performance than the single indi-cator within the model.The nomogram exhibited a C-index value of 0.85,with the calibration curve similar to the standard one,the threshold of the decision curve 0.10-0.92,and the area under the ROC curve higher than other predictive indicators.Conclusion:Based on the demographic and clinical data on PCa patients,a risk prediction model and a column chart were successfully constructed,which could effectively predict the difference between the Gleason scores from preoperative prostate biopsy and those from postoperative pathology.
