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首页> 外文期刊>American Journal of Surgical Pathology >Objective quantification of the ki67 proliferative index in neuroendocrine tumors of the gastroenteropancreatic system: A comparison of digital image analysis with manual methods
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Objective quantification of the ki67 proliferative index in neuroendocrine tumors of the gastroenteropancreatic system: A comparison of digital image analysis with manual methods

机译:胃肠道胰腺系统神经内分泌肿瘤中ki67增殖指数的客观定量:数字图像分析与手动方法的比较

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摘要

Pathologic grading for prognostic stratification of neuroendocrine tumors (NETs) is critical but presents a challenging interpretive dilemma. Tumor cell proliferative rate is an important factor in the determination of prognosis, and immunohistochemical analysis with Ki67 is becoming more widely used to quantify the proliferative rate. However, Ki67 assessment has limitations due to lack of uniformity and consistency in quantification. These limitations are accentuated in well-differentiated NETs, as differences in the range of 1% to 5% can alter tumor grade, with potential implications for treatment. We therefore performed a concordance study to assess different Ki67 quantification techniques including: (a) digital image analysis (DIA); (b) manual counting (MC) of >2000 cells; and (c) "eyeballed" estimate (EE) of labeling percentage by pathologists (n=18), including individuals experienced in evaluating Ki67 labeling as well as others who had little prior experience assessing Ki67 percentages. Forty-five Ki67 images were selected and analyzed using the 3 methods. On the basis of the recommendations of the World health Organization (WHO) for grading NETs, MC of 2000 cells was used as the "gold standard" reference against which the other techniques were compared. Three images were presented twice, the second being inverted, to assess intraobserver consistency. Statistical analyses were performed to evaluate: (a) the concordance between methods; (b) intraobserver and interobserver consistency; and (c) correlation of NET grades on the basis of Ki67 scores by EE versus the gold standard. Agreement between scores was assessed by intraclass correlation (ICC). DIA and MC were highly concordant (ICC=0.98). The ICC between DIA and the mean EE of all observers was 0.88. However, there was discordance among individual observers on all cases quantified by EE (ICC=0.13). The ICC for intraobserver consistency was 0.39±0.26. With Ki67 in the ranges of <1%, 2% to 3%, and >20%, the mean of Ki67 by EE was, respectively, 93%±2%, 55%±7%, and 55%±15% correct against the gold standard. The κ statistics for EE exhibited low agreement (κ=0.24; 95% confidence interval, 0.23-0.25) for all WHO NET grades. Incorrect assessment by EE resulted in upgrading of all WHO G1 group tumors (n=14); in the WHO G2 group, downgrading of 41% cases occurred (n=11) when Ki67 was <5% (by DIA or MC), and upgrading of 59% cases occurred (n=16) when Ki67 was >5%. We conclude that DIA and MC are the acceptable standards for Ki67 assessment. Given the inherent discordance in determining the grade, the use of an approximate EE of the Ki67-labeling index requires critical reevaluation, especially for NETs with a labeling index straddling the cut-points between grades. Consequently, determination of therapeutic strategies should be guided by an amalgamation of clinicopathologic characteristics, including but not limited to the Ki67 index.
机译:神经内分泌肿瘤(NETs)的预后分层的病理分级至关重要,但存在解释性难题。肿瘤细胞增殖率是决定预后的重要因素,而Ki67免疫组织化学分析正越来越广泛地用于量化增殖率。但是,由于缺乏统一性和定量一致性,Ki67评估存在局限性。这些限制在分化良好的NETs中更加突出,因为1%到5%范围内的差异会改变肿瘤的分级,可能会对治疗产生影响。因此,我们进行了一项一致性研究,以评估不同的Ki67量化技术,包括:(a)数字图像分析(DIA); (b)> 2000个单元格的手动计数(MC); (c)病理学家(n = 18)对标签百分比的“眼球”估计(EE),包括评估Ki67标签的经验丰富的人员以及以前很少评估Ki67百分比的经验的人员。使用3种方法选择和分析了45张Ki67图像。根据世界卫生组织(WHO)对NET进行分级的建议,将2000个细胞的MC用作“金标准”参考,并与其他技术进行了比较。两次呈现三张图像,第二张倒置,以评估观察者内部的一致性。进行统计分析以评估:(a)方法之间的一致性; (b)观察者内部和观察者之间的一致性; (c)基于EE的Ki67得分与金标准的NET等级的相关性。评分之间的一致性通过类内相关性(ICC)进行评估。 DIA和MC高度一致(ICC = 0.98)。 DIA和所有观察者的平均EE之间的ICC为0.88。但是,在由EE量化的所有案例中,个别观察者之间存在分歧(ICC = 0.13)。观察者内一致性的ICC为0.39±0.26。当Ki67的范围在<1%,2%至3%和> 20%时,EE的Ki67平均值分别为93%±2%,55%±7%和55%±15%正确违反黄金标准。对于所有WHO NET等级,EE的κ统计数据均显示出较低的一致性(κ= 0.24; 95%置信区间为0.23-0.25)。 EE评估不正确导致所有WHO G1组肿瘤升级(n = 14);在WHO G2组中,当Ki67 <5%(通过DIA或MC)时发生41%的病例降级(n = 11)(当DIA或MC),而当Ki67> 5%时发生59%的病例降级(n = 16)。我们得出结论,DIA和MC是Ki67评估可接受的标准。鉴于确定等级的内在矛盾,使用Ki67标签指数的近似EE需要重新评估,尤其是对于标签指数跨越等级之间切点的NET。因此,治疗策略的确定应以临床病理特征的合并为指导,包括但不限于Ki67指数。

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