A novel nomogram provides improved accuracy for predicting biochemical recurrence after radical pros

来源 :中华医学杂志英文版 | 被引量 : 0次 | 上传用户:ivanc1
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Background::Various prediction tools have been developed to predict biochemical recurrence (BCR) after radical prostatectomy (RP); however, few of the previous prediction tools used serum prostate-specific antigen (PSA) nadir after RP and maximum tumor diameter (MTD) at the same time. In this study, a nomogram incorporating MTD and PSA nadir was developed to predict BCR-free survival (BCRFS).Methods::A total of 337 patients who underwent RP between January 2010 and March 2017 were retrospectively enrolled in this study. The maximum diameter of the index lesion was measured on magnetic resonance imaging (MRI). Cox regression analysis was performed to evaluate independent predictors of BCR. A nomogram was subsequently developed for the prediction of BCRFS at 3 and 5 years after RP. Time-dependent receiver operating characteristic (ROC) curve and decision curve analyses were performed to identify the advantage of the new nomogram in comparison with the cancer of the prostate risk assessment post-surgical (CAPRA-S) score.Results::A novel nomogram was developed to predict BCR by including PSA nadir, MTD, Gleason score, surgical margin (SM), and seminal vesicle invasion (SVI), considering these variables were significantly associated with BCR in both univariate and multivariate analyses (n P < 0.05). In addition, a basic model including Gleason score, SM, and SVI was developed and used as a control to assess the incremental predictive power of the new model. The concordance index of our model was slightly higher than CAPRA-S model (0.76 n vs. 0.70, n P = 0.02) and it was significantly higher than that of the basic model (0.76 n vs. 0.66, n P = 0.001). Time-dependent ROC curve and decision curve analyses also demonstrated the advantages of the new nomogram.n Conclusions::PSA nadir after RP and MTD based on MRI before surgery are independent predictors of BCR. By incorporating PSA nadir and MTD into the conventional predictive model, our newly developed nomogram significantly improved the accuracy in predicting BCRFS after RP.“,”Background::Various prediction tools have been developed to predict biochemical recurrence (BCR) after radical prostatectomy (RP); however, few of the previous prediction tools used serum prostate-specific antigen (PSA) nadir after RP and maximum tumor diameter (MTD) at the same time. In this study, a nomogram incorporating MTD and PSA nadir was developed to predict BCR-free survival (BCRFS).Methods::A total of 337 patients who underwent RP between January 2010 and March 2017 were retrospectively enrolled in this study. The maximum diameter of the index lesion was measured on magnetic resonance imaging (MRI). Cox regression analysis was performed to evaluate independent predictors of BCR. A nomogram was subsequently developed for the prediction of BCRFS at 3 and 5 years after RP. Time-dependent receiver operating characteristic (ROC) curve and decision curve analyses were performed to identify the advantage of the new nomogram in comparison with the cancer of the prostate risk assessment post-surgical (CAPRA-S) score.Results::A novel nomogram was developed to predict BCR by including PSA nadir, MTD, Gleason score, surgical margin (SM), and seminal vesicle invasion (SVI), considering these variables were significantly associated with BCR in both univariate and multivariate analyses (n P < 0.05). In addition, a basic model including Gleason score, SM, and SVI was developed and used as a control to assess the incremental predictive power of the new model. The concordance index of our model was slightly higher than CAPRA-S model (0.76 n vs. 0.70, n P = 0.02) and it was significantly higher than that of the basic model (0.76 n vs. 0.66, n P = 0.001). Time-dependent ROC curve and decision curve analyses also demonstrated the advantages of the new nomogram.n Conclusions::PSA nadir after RP and MTD based on MRI before surgery are independent predictors of BCR. By incorporating PSA nadir and MTD into the conventional predictive model, our newly developed nomogram significantly improved the accuracy in predicting BCRFS after RP.
其他文献
以高铝粉煤灰碱石灰低钙干法烧结法得到的熟料为原料开展浸出工艺研究,考察了浸出温度、浸出时间、液固比以及碱液浓度等对熟料中铝酸钠浸出率的影响,探索氧化铝熟料中铝酸钠的浸出试验最佳工艺参数,通过XRD、SEM对浸出前后的氧化铝熟料进行物相表征,探讨氧化铝熟料中NaAlO2浸出的动力学。结果表明:在浸出温度65℃、浸出时间7 min、液固比5,碱液浓度0的条件下,铝酸钠的浸出率可以达到94%以上,相较于传统的铝土矿标准浸出中规定的温度(85±1)℃条件下浸出15 min,氧化铝熟料中铝酸钠
为进一步控制污染物排放和实现碳中和的目标,富氧燃烧技术作为一种清洁燃烧技术受到广泛关注,将其与基于循环流化床预热的新型燃烧技术结合后,有利于进一步降低NOx排放以及增强燃料的适应性。为探究不同燃料在预热富氧燃烧技术中NOx的迁移规律,基于循环流化床预热的O2/CO2燃烧技术,采用神木烟煤与半焦2种对比燃料,利用CHEMKIN反应动力学软件的完全搅拌反应器(PSR),以预热燃料为输入条件,通过生成速率分析法(ROP)和敏感性分析法(SA)2种分析方法对下行燃烧室内
以提升毫米波全息图像分辨率为目的,提出基于深度学习网络的毫米波全息成像图像重建方法。设计毫米波全息成像系统,通过信号划分与混频滤波放大处理等过程计算目标对像回波信号的相位和幅度,将获取的数据传输至全息图像成像程序,得到毫米波全息图像。利用基于深度学习网络的图像重建算法对毫米波全息图像实施重建:处理毫米波全息图像数据,构建外部图像库;构建深度学习网络中的卷积神经网络模型,通过训练获取低分辨率图像与高
沸石类CO2吸附剂具有操作能耗低、对设备的腐蚀性小、循环性能稳定等优点,但存在气体吸附容量相对较小的不足。为了获取高效的沸石CO2吸附剂,需要采用先进合成方法提高沸石类吸附剂的CO2捕集能力以克服其吸附容量低的劣势。采用水热法合成了NaY型沸石吸附剂,对比了其与13X、4A型沸石的CO2吸附特性,研究了压力、温度以及溴化钠改性对CO2吸附能力的影响。结果表明,3种吸附剂的CO2
脓毒症依然是危重症患者的主要死亡原因之一,而过度的炎症反应和长期的免疫抑制均可导致脓毒症患者死亡。白细胞介素17(IL-17)作为关键的促炎性细胞因子,在机体的炎症反应和免疫系统中发挥着重要的作用。信号转导是IL-17在维持机体健康及参与脓毒症疾病发生发展中的关键环节。本文重点归纳讨论IL-17的信号转导调控,及IL-17在脓毒症中的致病和保护作用。
目前尚未见野战训练环境中专用的烧伤部位快速降温装置,针对此问题,本研究团队设计了一款野战训练中烧伤用快速降温装置。该装置利用液氮快速降温的原理,通过温度监测仪监测创面温度以调节液氮的释放,以达到降低创面温度的目的。该装置设计简单、材料轻便、体积小,便于携带,可用于身体各个部位,且操作便捷,预计可对烧伤部位起到快速降温的效果,以避免热力向深层组织传导所致的继发性损伤。
期刊
模糊红外图像的本质是一类矩阵,这类矩阵混杂着待提取的目标元素和待处理的背景元素,其中每一个元素的像素数值十分接近,以像素数值大小作为提取标准的目标提取算法已无法满足需求。基于生物先天性免疫、适应性免疫与补体系统间相互作用的机理,提出了模糊红外图像的目标提取算法。对待提取元素进行希尔伯特变换,在泛函空间内对矩阵中每一个元素赋予新的特征,以目标元素和模糊区域的欧氏距离作为目标区域的判定依据,实现对模糊
粉煤灰是煤燃烧过程产生的重要固体废弃物,产量巨大,其排放不仅占用了大量土地资源,还引发了一系列环境问题.目前,粉煤灰的资源化利用方式主要为建筑材料,附加值较低.粉煤灰
随着国家对固定源颗粒物排放要求越来越严格,需对颗粒物在污染物控制系统中排放过程的物理、化学变化进行深入研究。基于半干法脱硫技术的某煤粉工业锅炉污染物控制系统,在系统沿程设置4个测点进行颗粒物等速采样,并通过称重、激光粒度仪、SEM-EDS及XRD等手段对颗粒物进行测试分析。结果表明,4个测点的颗粒物浓度分别为9.90 g/Nm3、793.50 g/Nm3、92.14 g/Nm3和26.72 mg/Nm3。烟气排放出口实