Investigating the distribution of prostate cancer using three-dimensional computer simulation
Investigating the distribution of prostate cancer using three-dimensional computer simulation
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DOI：
10.1038/sj.pcan.4500577
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发表时间：
2002-01-01
影响因子：
4.8
通讯作者：
Lynch, JH
中科院分区：
文献类型：
--
作者：
Opell, MB;Zeng, J;Lynch, JH
这项工作的目的是调查前列腺癌的分布，使用三维（3-D）计算机模拟。从根治性前列腺切除术标本中构建了281个前列腺计算机三维模型。开发了一种划分每个模型的算法。分成24个对称的区域，然后在单个区域内检测肿瘤的存在。在所有281个前列腺模型的每个区域内评估前列腺癌的分布率，并使用Mantel-Haenszel方法对比率之间的差异进行统计学分析。与前半部分（40.5%; P=0.001）相比，后半部分（57.2%）的癌症分布率在统计学上显著更高。底部区域（36.8%）的分布率在统计学上显著低于中部区域（56.3%; P=0.001）或顶部区域（53.5%; P=0.001）。中部区域的分布率在统计学上显著高于顶部区域（P=0.032）。左半部分的分布率（48.5%）与右半部分的分布率（49.2%; P=0.494）之间无统计学显著差异。可以使用3-D计算机前列腺模型来分析前列腺癌的空间分布。结果表明，前列腺癌最不常见的是位于前列腺的前半部分和基部区域。通过分析前列腺癌的空间分布，我们相信可以开发新的最佳活检策略和技术。
The objective of this work was to investigate the distribution of prostate cancer using three-dimensional (3-D) computer simulation. Two hundred and eighty-one 3-D computer prostate models were constructed from radical prostatectomy specimens. An algorithm was developed which divided each model. into 24 symmetrical regions, and it then detected the presence of tumor within an individual region. The distribution rate of prostate cancer was assessed within each region of all 281 prostate models, and the difference between the rates was statistically analyzed using Mantel-Haenszel methodology. There was a statistically significant higher distribution rate of cancer in the posterior half (57.2%) compared to the anterior half ( 40.5%; P=0.001). The base regions (36.8%) had a statistically significant lower distribution rate than either the mid regions (56.3%; P=0.001) or the apical regions (53.5%; P=0.001). The mid regions did have a statistically significant higher distribution rate compared to the apical regions (P=0.032). There was no statistically significant difference between the distribution rate on the left half (48.5%) compared to that on the right half (49.2%; P=0.494). The spatial distribution of prostate cancer can be analyzed using 3-D computer prostate models. The results illustrate that prostate cancer is least commonly located in the anterior half and base regions of the prostate. Through an analysis of the spatial distribution of prostate cancer, we believe that new optimal biopsy strategies and techniques can be developed.