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使用三维计算机算法对潜伏性前列腺癌进行形态学分析和分类:肿瘤体积、分级、肿瘤倍增时间和预期寿命分析

Morphological analysis and classification of latent prostate cancer using a 3-dimensional computer algorithm: analysis of tumor volume, grade, tumor doubling time and life expectancy.

作者信息

Hirano D, Werahera P N, Crawford E D, Lucia M S, DeAntoni E P, Miller G J

机构信息

Department of Pathology, University of Colorado Health Sciences Center, Denver, USA.

出版信息

J Urol. 1998 Apr;159(4):1265-9.

PMID:9507849
Abstract

PURPOSE

We estimate the potential clinical significance of prostate cancers found at autopsy provided the individual had lived to the projected lifespan based on life expectancy tables.

MATERIALS AND METHODS

We used 3-dimensional computer models of 59 autopsy prostates that contained clinically undetected carcinoma to determine tumor volumes. Using doubling times of 2, 3, 4 and 6 years, carcinoma volumes at autopsy were extrapolated through patient projected lifespans. The carcinomas were then classified as clinically insignificant or significant according to Mayo Clinic criteria.

RESULTS

In 13 patients less than 60 years old, using doubling times of 2, 3, 4 and 6 years, clinically significant tumors were identified in 13 (100%), 10 (77%), 7 (54%) and 7 (54%), respectively. In 46 patients 60 years old or greater significant tumors were identified in 32 (70%), 22 (48%), 21 (46%) and 18 (39%), respectively. A statistical difference (p <0.0001) was found between the mean tumor volume (0.20 +/- 0.10 cc) of 43 organ confined carcinomas and the mean tumor volume (3.26 +/- 3.58 cc) of 16 extracapsular tumors. No capsule perforation was found in tumors with Gleason sums of 4 or less. However, capsule perforation was present in 8 of 31 tumors (25.8%) with Gleason sums of 5 or 6, and 8 of 11 tumors (72.7%) with Gleason scores of 7 or 8.

CONCLUSIONS

Prostatic carcinomas that remain clinically insignificant throughout life are likely to have doubling times greater than 4 years. The subset of carcinomas that emerge as clinically significant are likely to have doubling times less than 3 years. Therefore, an accurate method to measure doubling time at diagnosis could, provide an objective indicator to guide clinical management.

摘要

目的

我们基于寿命预期表,估计若个体活到预期寿命,尸检时发现的前列腺癌的潜在临床意义。

材料与方法

我们使用了59个含有临床未检测到的癌的尸检前列腺的三维计算机模型来确定肿瘤体积。利用2年、3年、4年和6年的倍增时间,通过患者预期寿命外推尸检时的癌体积。然后根据梅奥诊所标准将这些癌分类为临床意义不显著或显著。

结果

在13名年龄小于60岁的患者中,使用2年、3年、4年和6年的倍增时间,分别有13例(100%)、10例(77%)、7例(54%)和7例(54%)被鉴定为具有临床意义的肿瘤。在46名60岁及以上的患者中,分别有32例(70%)、22例(48%)、21例(46%)和18例(39%)被鉴定为具有临床意义的肿瘤。43例器官局限性癌的平均肿瘤体积(0.20±0.10立方厘米)与16例包膜外肿瘤的平均肿瘤体积(3.26±3.58立方厘米)之间存在统计学差异(p<0.0001)。Gleason评分4分及以下的肿瘤未发现包膜穿孔。然而,Gleason评分为5或6的31例肿瘤中有8例(25.8%)存在包膜穿孔,Gleason评分为7或8的11例肿瘤中有8例(72.7%)存在包膜穿孔。

结论

终生临床意义不显著的前列腺癌其倍增时间可能大于4年。出现临床意义显著的癌亚组其倍增时间可能小于3年。因此,一种准确测量诊断时倍增时间的方法可以提供一个客观指标来指导临床管理。

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Morphological analysis and classification of latent prostate cancer using a 3-dimensional computer algorithm: analysis of tumor volume, grade, tumor doubling time and life expectancy.使用三维计算机算法对潜伏性前列腺癌进行形态学分析和分类:肿瘤体积、分级、肿瘤倍增时间和预期寿命分析
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Methods for volume assessment of prostate cancer.
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