Suppr超能文献

早期前列腺癌的分期:一种基于肿瘤体积的拟议预后指数。

Staging of early prostate cancer: a proposed tumor volume-based prognostic index.

作者信息

Bostwick D G, Graham S D, Napalkov P, Abrahamsson P A, di Sant'agnese P A, Algaba F, Hoisaeter P A, Lee F, Littrup P, Mostofi F K

机构信息

Mayo Clinic Department of Pathology, Rochester, Minnesota 55905.

出版信息

Urology. 1993 May;41(5):403-11. doi: 10.1016/0090-4295(93)90497-x.

Abstract

Current staging of early prostate cancer separates patients into two groups: those with palpable and non-palpable tumors. Such staging relies on digital rectal examination in making this separation, despite the low sensitivity, low specificity, and low positive predictive value of this method. As an alternative, tumor volume may be useful for staging because of its powerful prognostic ability and its potential to be assessed clinically due to recent advances in imaging techniques such as transrectal ultrasound. In this study, we evaluate the utility of tumor volume in predicting progression of early prostate cancer based on the composite published evidence from nine pathologic studies of serially-sectioned prostates. Logistic regression revealed that tumor volume was a good positive predictor of all measures of tumor progression. There was a 10 percent probability of capsular invasion in tumors measuring about 0.5 cm3; 10 percent probability of seminal vesicle invasion in tumors measuring about 4.0 cm3; and 10 percent probability of metastases in tumors measuring about 5.0 cm3. These composite results suggest that tumor volume is a significant predictor of cancer progression. A volume-based prognostic index is proposed as an adjunct to staging for early prostate cancer.

摘要

早期前列腺癌的现行分期将患者分为两组

可触及肿瘤患者和不可触及肿瘤患者。这种分期依靠直肠指检来进行区分,尽管该方法敏感性低、特异性低且阳性预测值低。作为一种替代方法,肿瘤体积可能有助于分期,因为它具有强大的预后能力,并且由于经直肠超声等成像技术的最新进展,有可能通过临床评估。在本研究中,我们基于对九个连续切片前列腺病理研究的综合已发表证据,评估肿瘤体积在预测早期前列腺癌进展方面的效用。逻辑回归显示,肿瘤体积是肿瘤进展所有指标的良好阳性预测因子。体积约为0.5 cm³的肿瘤有10%的包膜侵犯概率;体积约为4.0 cm³的肿瘤有10%的精囊侵犯概率;体积约为5.0 cm³的肿瘤有10%的转移概率。这些综合结果表明肿瘤体积是癌症进展的重要预测因子。提出了一种基于体积的预后指数作为早期前列腺癌分期的辅助手段。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验