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Comparison of digital image analysis versus visual assessment to assess survivin expression as an independent predictor of survival for patients with clear cell renal cell carcinoma.

机译:数字图像分析与视觉评估的比较,以评估survivin表达作为透明细胞肾细胞癌患者生存的独立预测指标。

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We previously used quantitative digital image analysis to report that high immunohistochemical tumor expression levels of survivin independently predict poor outcome among patients with clear cell renal cell carcinoma. However, given the cumbersome and costly nature of digital image analysis, we evaluated simple visual assessment as an alternative to digital image analysis for assessing survivin as a predictor of clear cell renal cell carcinoma patient outcomes. We identified 310 patients treated surgically for unilateral, sporadic, clear cell renal cell carcinoma at our institution between 1990 and 1994. Survivin expression was quantified independently by digital image analysis and visual assessment in paraffin slides using a commercially available antibody. We examined the agreement between the 2 methods using the kappa statistic and then used Cox regression to compare the ability of the 2 methods to predict renal cell carcinoma death. The kappa statistic comparing high survivin expression determinedby digital image analysis versus visual assessment was .68, indicating substantial agreement between the 2 methods. Moreover, even after multivariate adjustment, the association of high survivin expression with risk of renal cell carcinoma death was similar for both visual assessment (risk ratio = 2.01; 95% confidence interval, 1.26-3.22) and digital image analysis (risk ratio = 1.75; 95% confidence interval, 1.10-2.80). Finally, among patients with "moderate risk" (Stage, Size, Grade, and Necrosis scores 3-6) and "high risk" (Stage, Size, Grade, and Necrosis scores 7 or greater) clear cell renal cell carcinoma, high survivin expression determined by visual assessment was significantly associated with poorer survival (P = .006 and P = .017, respectively). Herein, we demonstrate substantial agreement between survivin quantification by digital image analysis and visual assessment. We further confirm that high survivin expression assessed by visual assessment remains an independent predictor of aggressive clear cell renal cell carcinoma behavior. Thus, visual assessment represents an economical, widely available, and reliable method to assess survivin as a predictor of clear cell renal cell carcinoma patient outcomes.
机译:我们先前使用定量数字图像分析来报告,survivin的高免疫组织化学肿瘤表达水平独立地预测了透明细胞肾细胞癌患者的不良预后。然而,鉴于数字图像分析的麻烦和昂贵的性质,我们评估了简单的视觉评估,作为数字图像分析的替代方法,以评估存活蛋白作为透明细胞肾细胞癌患者预后的指标。我们在1990年至1994年间确定了310例在我们机构接受单侧,散发性透明细胞肾细胞癌手术治疗的患者。通过数字图像分析和目测评估,使用市售抗体对Survivin表达进行独立定量。我们使用kappa统计量检查了这两种方法之间的一致性,然后使用Cox回归比较了这两种方法预测肾细胞癌死亡的能力。通过数字图像分析与视觉评估确定的survivin高表达的kapp统计量为0.68,表明这两种方法之间基本吻合。此外,即使经过多变量调整,无论是视觉评估(风险比= 2.01; 95%置信区间为1.26-3.22)还是数字图像分析(风险比= 1.75),高存活蛋白表达与肾细胞癌死亡风险的相关性均相似。 ; 95%置信区间1.10-2.80)。最后,在“中度风险”(阶段,大小,等级和坏死评分为3-6)和“高风险”(阶段,大小,等级和坏死评分为7或更高)的患者中,透明细胞肾细胞癌,高生存素通过视觉评估确定的表达与较差的存活率显着相关(分别为P = .006和P = .017)。在这里,我们证明了通过数字图像分析和视觉评估survivin量化之间的实质一致性。我们进一步证实,通过视觉评估评估的高存活蛋白表达仍然是侵袭性透明细胞肾细胞癌行为的独立预测因子。因此,视觉评估代表一种经济,广泛且可靠的方法来评估生存素,作为预测透明细胞肾细胞癌患者预后的指标。

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