Multicenter External Validation of a Nomogram for Predicting Positive Prostate-specific Membrane Antigen/Positron Emission Tomography Scan in Patients with Prostate Cancer Recurrence

列线图 医学 前列腺癌 前列腺切除术 前列腺特异性抗原 正电子发射断层摄影术 生化复发 人口 逻辑回归 谷氨酸羧肽酶Ⅱ 核医学 内科学 肿瘤科 放射科 泌尿科 癌症 环境卫生
作者
Lorenzo Bianchi,Paolo Castellucci,Andrea Farolfi,Matteo Droghetti,Carlos Artigas,José Alberto Dias Leite,P. Corona,Qaid Ahmed Shagera,Renata Moreira,C.J. González,Marcelo A. Queiroz,Felipe de Galiza Barbosa,Riccardo Schiavina,Désirèe Deandreis,Stefano Fanti,Francesco Ceci
出处
期刊:European Urology Oncology [Elsevier BV]
卷期号:6 (1): 41-48 被引量:30
标识
DOI:10.1016/j.euo.2021.12.002
摘要

A nomogram has recently been developed to predict 68Ga-labeled prostate-specific membrane antigen (PSMA)-11 positron emission tomography (PET)/computed tomography (PSMA-PET) results in recurrent prostate cancer (PCa) patients. To perform external validation of the original nomogram in a multicentric setting. A total of 1639 patients who underwent PSMA-PET for prostate-specific antigen (PSA) relapse after radical therapy were retrospectively included from six high-volume PET centers. The external cohort was stratified according to clinical setting categories: group 1: first-time biochemical recurrence (n = 774); group 2: PSA relapse after salvage therapy (n = 499); group-3: biochemical persistence after radical prostatectomy (n = 210); and group-4: advanced-stage PCa before second-line systemic therapies (n = 124). PSMA-PET in recurrent PCa. PSMA-PET detection rate was assessed in the overall population and in each subgroup. A multivariable logistic regression model was produced to evaluate the predictors of a positive scan. The performance characteristics of the model were assessed by quantifying the predictive accuracy (PA) according to model calibration. The Youden’s index was used to find the best nomogram’s cutoff. Decision curve analysis (DCA) was implemented to quantify the nomogram’s clinical net benefit. In the external cohort, the overall detection rate was 53.8% versus 51.2% in the original population. At multivariate analysis, International Society of Urological Pathology grade group, PSA, PSA doubling time, and clinical setting were independent predictors of a positive scan (all p ≤ 0.02). The PA of the nomogram was identical to the original model (82.0%); the model showed an optimal calibration curve. The best nomogram’s cutoff was 55%. In the DCA, the nomogram revealed clinical net benefit when the threshold nomogram probabilities were ≥20%. The retrospective design is a major limitation. The original nomogram exhibited excellent characteristics on external validation. The incidence of a false negative scan can be reduced if PSMA-PET is performed when the predicted probability is ≥20%. A nomogram has been developed to predict prostate-specific membrane antigen/positron emission tomography (PSMA-PET) results for recurrent prostate cancer (PCa). The nomogram represents an easy tool in the decision-making process of recurrent PCa.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
我爱科研完成签到,获得积分10
刚刚
星辰大海应助slsdy采纳,获得10
刚刚
星辰大海应助Silvia采纳,获得10
刚刚
科研通AI6.3应助调皮的鱼采纳,获得10
1秒前
唯有完成签到,获得积分10
1秒前
1秒前
CAYLEE发布了新的文献求助10
1秒前
核动力驴发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
悦耳怜南完成签到,获得积分10
2秒前
Hello应助Mencanta采纳,获得10
3秒前
慕青应助顺利汉堡采纳,获得30
3秒前
4秒前
Hello应助小心爱吃肉采纳,获得10
4秒前
高高悒发布了新的文献求助10
4秒前
mi完成签到,获得积分10
4秒前
4秒前
唯有发布了新的文献求助10
4秒前
小苍星发布了新的文献求助10
5秒前
酷酷珠完成签到,获得积分10
5秒前
5秒前
5秒前
美好南蕾应助科研通管家采纳,获得10
5秒前
淇淇应助科研通管家采纳,获得10
6秒前
FashionBoy应助科研通管家采纳,获得10
6秒前
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
nawfub323应助lcsw采纳,获得10
6秒前
prigogin应助科研通管家采纳,获得10
6秒前
6秒前
Akim应助科研通管家采纳,获得10
6秒前
愉快的真发布了新的文献求助10
7秒前
完美世界应助科研通管家采纳,获得10
7秒前
天天快乐应助科研通管家采纳,获得10
7秒前
顾矜应助科研通管家采纳,获得10
7秒前
Ava应助华仔采纳,获得10
7秒前
咸鱼小武发布了新的文献求助10
8秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7509520
求助须知:如何正确求助?哪些是违规求助? 9098139
关于积分的说明 19416792
捐赠科研通 7116457
什么是DOI,文献DOI怎么找? 3252595
关于科研通互助平台的介绍 2421553
邀请新用户注册赠送积分活动 2238878