MORPHOMETRIC MEASUREMENT OF TUMOR VOLUME AND PERCENT OF GLAND INVOLVEMENT AS PREDICTORS OF PATHOLOGICAL STAGE IN CLINICAL STAGE-B PROSTATE-CANCER
MORPHOMETRIC MEASUREMENT OF TUMOR VOLUME AND PERCENT OF GLAND INVOLVEMENT AS PREDICTORS OF PATHOLOGICAL STAGE IN CLINICAL STAGE-B PROSTATE-CANCER
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DOI：
10.1016/s0022-5347(17)40761-0
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发表时间：
1989-02-01
影响因子：
6.6
通讯作者：
WALSH, PC
中科院分区：
文献类型：
--
作者：
PARTIN, AW;EPSTEIN, JI;WALSH, PC
虽然肿瘤体积是预测前列腺癌预后的一个重要因素，但由于肿瘤并不总是可触及(A期)，而且当可触及时，很难从三维上估计肿瘤体积，因此直接准确地估计肿瘤体积在临床上是不现实的。为此，目前前列腺癌的临床分期是基于对肿瘤累及的腺体百分比的估计：在A期，根据肿瘤累及组织的百分比进行分期；在13期，通过指诊(不到1叶、1叶和2叶)进行分期。在A期前列腺癌中，肿瘤标本的百分比和肿瘤的体积已被证明与肿瘤的进展有关。我们的研究旨在确定这两个形态测量因素中的一个或两个是否可以很好地预测B期前列腺癌的病理分期。我们分析了56例前列腺癌根治术标本：28例无包膜穿透，15例仅包膜穿透，13例精囊受累。腺体受累百分率、肿瘤累及百分率(相关系数0.67，P<0.001)和肿瘤体积(相关系数0.55，P<0.001)与病理分期密切相关。逐步线性回归分析显示，腺体受累百分率与Gleason分级相结合是预测病理分期的最佳指标。
Although tumor volume is an important factor in predicting prognosis in carcinoma of the prostate, direct and accurate estimation of tumor volume is not practical clinically at present because the tumor may not always be palpable (stage A) and when palpable it is difficult to estimate volume in 3 dimensions. For this reason the clinical staging of prostate cancer currently is based on estimations of the per cent of gland involved with tumor: in stage A by per cent of tissue involved with cancer and in stage 13 by digital palpation (less than 1 lobe, 1 lobe and 2 lobes). In stage A prostate cancer the per cent of the specimen involved with tumor and the volume of tumor have been shown to correlate with tumor progression. Our study was designed to determine if either or both of these morphometric factors would be good predictors of pathological stage in stage B prostate cancer. We analyzed 56 step-sectioned radical prostatectomy specimens: 28 without capsular penetration, 15 with capsular penetration only and 13 with seminal vesicle involvement. The per cent of gland involved, with tumor (correlation coefficient 0.67, p less than 0.001) and tumor volume (correlation coefficient 0.55, p less than 0.001) correlated well with pathological stage. Stepwise linear regression showed that the combination of the per cent of gland involved with tumor and the total Gleason grade was statistically the best predictor of pathological stage.