A review of prognostic pathologic features and algorithms for patients treated surgically for renal cell carcinoma

被引：64

作者：

Lohse, CM

Cheville, JC

机构：

[1] Mayo Clin, Dept Lab Med & Pathol, Rochester, MN 55905 USA

[2] Mayo Clin, Div Biostat, Rochester, MN 55905 USA

来源：

CLINICS IN LABORATORY MEDICINE | 2005年 / 25卷 / 02期

关键词：

D O I：

10.1016/j.cll.2005.01.013

中图分类号：

R446 [实验室诊断]; R-33 [实验医学、医学实验];

学科分类号：

1001 ;

摘要：

Pathologic features that are important in outcome prediction for patients who are treated surgically for renal cell carcinoma are reviewed, including histologic subtype, sarcomatoid differentiation, the TNM classification, primary tumor size, nuclear grade, and histologic tumor necrosis. How these pathologic features have been incorporated into prognostic algorithms that were developed by Memorial Sloan-Kettering Cancer Center, University of California Los Angeles, and Mayo Clinic are examined.

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页码：433 / +

页数：33

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