[Predictive effect of the dual-parametric MRI modified maximum diameter of the lesions with PI-RADS 4 and 5 on the clinically significant prostate cancer].

Q3 Medicine
北京大学学报(医学版) Pub Date : 2024-08-18
Yuxuan Tian, Mingjian Ruan, Yi Liu, Derun Li, Jingyun Wu, Qi Shen, Yu Fan, Jie Jin
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引用次数: 0

Abstract

Objective: To assess the rationality of the maximum lesion diameter of 15 mm in prostate imaging reporting and data system (PI-RADS) as a criterion for upgrading a lesion from category 4 to 5 and improve it to enhance the prediction of clinically significant prostate cancer (csPCa).

Methods: In this study, the patients who underwent prostate magnetic resonance imaging (MRI) and prostate biopsy at Peking University First Hospital from 2019 to 2022 as a development cohort, and the patients in 2023 as a validation cohort were reviewed. The localization and maximum diameter of the lesion were fully evaluated. The area under the curve (AUC) and the cut-off value of the maximum diameter of the lesion to predict the detection of csPCa were calculated from the receiver operating characteristics (ROC) curve. Confounding factors were reduced by propensity score matching (PSM). Diagnostic efficacy was compared in the validation cohort.

Results: Of the 589 patients in the development cohort, 358 (60.8%) lesions were located in the peripheral zone and 231 (39.2%) were located in the transition zone, and 496 (84.2%) patients detected csPCa. The median diameter of the lesions in the peripheral zone was smaller than that in the transition zone (14 mm vs. 19 mm, P < 0.001). In the ROC analysis of the maximal diameter on the csPCa prediction, there was no statistically significant difference between the peri-pheral zone (AUC=0.709) and the transition zone (AUC=0.673, P=0.585), and the cut-off values were calculated to be 11.5 mm for the peripheral zone and 16.5 mm for the migrating zone. By calcula-ting the Youden index for the cut-off values in the validation cohort, we found that the categorisation by lesion location led to better predictive results. Finally, the net reclassification index (NRI) was 0.170.

Conclusion: 15 mm as a criterion for upgrading the PI-RADS score from 4 to 5 is reasonable but too general. The cut-off value for peripheral zone lesions is smaller than that in transitional zone. In the future consideration could be given to setting separate cut-off values for lesions in different locations.

[PI-RADS4和PI-RADS5双参数磁共振成像修改病灶最大直径对有临床意义的前列腺癌的预测作用]。
目的评估前列腺影像报告和数据系统(PI-RADS)中将病变最大直径15 mm作为病变从4类升至5类的标准的合理性,并加以改进,以提高对有临床意义的前列腺癌(csPCa)的预测能力:本研究以2019年至2022年在北京大学第一医院接受前列腺磁共振成像(MRI)和前列腺活检的患者为发展队列,以2023年的患者为验证队列。对病灶的定位和最大直径进行了全面评估。根据接收者操作特征曲线(ROC)计算了预测 csPCa 检测的曲线下面积(AUC)和病灶最大直径的临界值。通过倾向评分匹配(PSM)减少了混杂因素。在验证队列中比较了诊断效果:在 589 例开发队列患者中,358 例(60.8%)病变位于外周区,231 例(39.2%)位于过渡区,496 例(84.2%)患者检测出 csPCa。外周区病灶的中位直径小于过渡区(14 毫米对 19 毫米,P<0.001)。在最大直径对 csPCa 预测的 ROC 分析中,外周区(AUC=0.709)和过渡区(AUC=0.673,P=0.585)之间的差异无统计学意义,计算得出外周区的临界值为 11.5 毫米,移行区为 16.5 毫米。通过计算验证队列中截断值的尤登指数,我们发现按病变位置分类的预测结果更好。最后,净再分类指数(NRI)为 0.170。结论:将 15 毫米作为将 PI-RADS 评分从 4 级提升至 5 级的标准是合理的,但过于笼统。外周区病变的临界值小于过渡区病变的临界值。今后可考虑为不同部位的病变设定不同的临界值。
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来源期刊
北京大学学报(医学版)
北京大学学报(医学版) Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
9815
期刊介绍: Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases. The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.
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