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经会阴前列腺活检:一种统一核心采样模式的分析,该模式可得出阴性活检中肿瘤体积界限的数据。

Transperineal prostate biopsy: analysis of a uniform core sampling pattern that yields data on tumor volume limits in negative biopsies.

作者信息

Kepner Gordon R, Kepner Jeremy V

机构信息

Membrane Studies Project, Minneapolis, Minnesota, USA.

出版信息

Theor Biol Med Model. 2010 Jun 17;7:23. doi: 10.1186/1742-4682-7-23.

DOI:10.1186/1742-4682-7-23
PMID:20565775
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2894753/
Abstract

BACKGROUND

Analyze an approach to distributing transperineal prostate biopsy cores that yields data on the volume of a tumor that might be present when the biopsy is negative, and also increases detection efficiency.

METHODS

Basic principles of sampling and probability theory are employed to analyze a transperineal biopsy pattern that uses evenly-spaced parallel cores in order to extract quantitative data on the volume of a small spherical tumor that could potentially be present, even though the biopsy did not detect it, i.e., negative biopsy.

RESULTS

This approach to distributing biopsy cores provides data for the upper limit on the volume of a small, spherical tumor that might be present, and the probability of smaller volumes, when biopsies are negative and provides a quantitative basis for evaluating the effectiveness of different core spacing distances.

CONCLUSIONS

Distributing transperineal biopsy cores so they are evenly spaced provides a means to calculate the probability that a tumor of given volume could be present when the biopsy is negative, and can improve detection efficiency.

摘要

背景

分析一种经会阴前列腺穿刺活检组织芯的分布方法,该方法能得出活检结果为阴性时可能存在的肿瘤体积数据,同时提高检测效率。

方法

运用抽样和概率论的基本原理,分析一种经会阴活检模式,该模式使用等间距平行组织芯,以获取关于即使活检未检测到(即活检结果为阴性)但可能存在的小球形肿瘤体积的定量数据。

结果

这种活检组织芯分布方法提供了活检结果为阴性时可能存在的小球形肿瘤体积上限的数据以及较小体积肿瘤存在的概率,并为评估不同组织芯间距的有效性提供了定量依据。

结论

经会阴活检组织芯等间距分布提供了一种手段,可计算活检结果为阴性时给定体积肿瘤可能存在的概率,并能提高检测效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/880a6c44e537/1742-4682-7-23-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/55db7edaf471/1742-4682-7-23-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/7a769c2a7d20/1742-4682-7-23-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/27086b465b49/1742-4682-7-23-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/55b177611c6d/1742-4682-7-23-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/37c15b93f88c/1742-4682-7-23-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/880a6c44e537/1742-4682-7-23-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/55db7edaf471/1742-4682-7-23-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/7a769c2a7d20/1742-4682-7-23-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/27086b465b49/1742-4682-7-23-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/55b177611c6d/1742-4682-7-23-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/37c15b93f88c/1742-4682-7-23-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6079/2894753/880a6c44e537/1742-4682-7-23-6.jpg

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Pathology: the lottery of conventional prostate biopsy.
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