Changepoint Modeling of Longitudinal PSA as a Biomarker for Prostate Cancer

Changepoint Modeling of Longitudinal PSA as a Biomarker for Prostate Cancer
复制标题

纵向 PSA 作为前列腺癌生物标志物的变点模型

DOI:
--
复制
发表时间:
1997
期刊:
影响因子:
--
通讯作者:
K. Cronin
K. Cronin
中科院分区:
--
文献类型:
--
作者:
E. Slate;K. Cronin

文献摘要

参考文献

被引文献

相似文献

前列腺特异性抗原(PSA)是诊断前列腺疾病的重要指标。当前列腺体积增大时,如出现癌症时,血液中的PSA水平也会增加。我们的工作重点是使用PSA水平作为前列腺癌复发的生物标志物,这些患者以前曾被诊断并接受放射治疗。我们将完全贝叶斯分层变点模型应用于纵向PSA读数。我们的目标有两个;更好地了解完成治疗的患者PSA水平的自然历史,并使用该模型识别指示复发的个体变化点。为了准确地早期发现复发,我们进行了前瞻性的序贯分析,以比较几种诊断规则,包括基于单个变化点的后验分布的规则。
Prostate-specific antigen (PSA) is an important indicator of the presence of prostate disease. When the volume of the prostate increases, as when cancer is present, the levels of PSA in the blood also increase. Our work focuses on using PSA levels as a biomarker for the recurrence of prostate cancer in patients that have been previously diagnosed and treated by radiotherapy. We fit a fully Bayesian hierarchical changepoint model to longitudinal PSA readings. Our objective is twofold; to better understand the natural history of PSA levels in patients who have completed treatment, and to use the model to identify individual changepoints that are indicative of recurrence. With the goal of accurate early detection of recurrence, we perform a prospective sequential analysis to compare several diagnostic rules, including a rule based on the posterior distribution of individual changepoints.
DOI: 10.1001/jama.1992.03480160073037
发表时间: 1992-04
期刊: JAMA
影响因子: --
作者:
H. Carter;J. Pearson;E. Metter;L. Brant;L. Brant;Daniel W. Chan;Reubin Andres;Reubin Andres;J. Fozard;P. Walsh
通讯作者: H. Carter;J. Pearson;E. Metter;L. Brant;L. Brant;Daniel W. Chan;Reubin Andres;Reubin Andres;J. Fozard;P. Walsh