Department of Pathology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Int J Gynecol Cancer. 2011 May;21(4):654-60. doi: 10.1097/IGC.0b013e31821454f1.
The current International Federation of Gynecology and Obstetrics (FIGO) grade in endometrial carcinomas requires the evaluation of histologic features with proven prognostic value but with questionable reproducibility. This study tests the prognostic power and reproducibility of a new binary grading system.
Specimens from 254 hysterectomies were graded according to the new 3- and 2-tiered FIGO grading systems described by Alkushi et al. The selected morphologic parameters for the new grading system included the presence of predominant solid or papillary architecture pattern, severe nuclear atypia, tumor necrosis, and vascular invasion. The Cox proportional hazards and κ statistics were used for comparisons.
On multivariate analysis, and looking at all tumor cell types, the 4 tested grading systems were independent predictors of survival, with the 3-tiered FIGO grading system being the most predictive (P = 0.005). In the subset of endometrioid tumors, the 3- and 2-tiered FIGO grading systems and the new grading system retained their statistical significance as predictors of survival (P = 0.004, P = 0.03, and P = 0.007, respectively), whereas the grading system of Alkushi et al did not (P = 0.1). In nonendometrioid tumors, the new grading system proved to be the best predictor of survival, reaching near statistical significance (P = 0.06). The new grading system had acceptable intraobserver and interobserver reproducibility assessment (κ = 0.87 and κ = 0.45, respectively).
The 3-tiered FIGO grading system retained its superior prognostic power. However, available binary grading systems remain an attractive option by being highly reproducible and by eliminating the clinical ambiguity of intermediate grades of disease.
目前国际妇产科联盟(FIGO)子宫内膜癌分级需要评估具有明确预后价值但可重复性存疑的组织学特征。本研究检验了一种新的二元分级系统的预后能力和可重复性。
根据 Alkushi 等人描述的新的 3 级和 2 级 FIGO 分级系统,对 254 例子宫切除术标本进行分级。新分级系统的选定形态学参数包括主要实性或乳头状结构模式、严重核异型性、肿瘤坏死和血管浸润的存在。使用 Cox 比例风险和κ统计进行比较。
在多变量分析中,考虑到所有肿瘤细胞类型,4 种测试的分级系统是生存的独立预测因素,3 级 FIGO 分级系统是最具预测性的(P = 0.005)。在内膜样肿瘤亚组中,3 级和 2 级 FIGO 分级系统和新分级系统仍然是生存的统计学显著预测因素(P = 0.004、P = 0.03 和 P = 0.007,分别),而 Alkushi 等人的分级系统则没有(P = 0.1)。在非内膜样肿瘤中,新分级系统被证明是生存的最佳预测因素,接近统计学意义(P = 0.06)。新分级系统具有可接受的观察者内和观察者间可重复性评估(κ = 0.87 和 κ = 0.45)。
3 级 FIGO 分级系统保留了其优越的预后能力。然而,现有的二元分级系统仍然是一种有吸引力的选择,因为它们具有高度的可重复性,并消除了疾病中间等级的临床模糊性。