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巴雷特食管的临床决策可以通过对与增殖和分化相关特征的计算机免疫定量分析和形态测量来辅助。

Clinical decision making in Barrett's oesophagus can be supported by computerized immunoquantitation and morphometry of features associated with proliferation and differentiation.

作者信息

Polkowski W, Baak J P, van Lanschot J J, Meijer G A, Schuurmans L T, Ten Kate F J, Obertop H, Offerhaus G J

机构信息

Second Department of General Surgery, Medical Academy, Lublin, Poland.

出版信息

J Pathol. 1998 Feb;184(2):161-8. doi: 10.1002/(SICI)1096-9896(199802)184:2<161::AID-PATH971>3.0.CO;2-2.

Abstract

Grading of dysplasia in Barrett's oesophagus has a therapeutic impact, but subjective grading is associated with substantial observer variation. Quantitative pathological methods could help to achieve a more accurate and reproducible diagnosis. In the present study, the immunoquantitation of p53 and Ki67 and the morphometric analysis of features associated with proliferation and differentiation were evaluated for this purpose. In slides of 35 oesophagectomy specimens, 73 areas that displayed either no dysplasia (ND), low-grade dysplasia (LGD), high-grade dysplasia (HGD), or intramucosal carcinoma (ImCa) were initially considered. Agreement on double blind examination by two experienced pathologists was reached in 58 areas, which were used as the 'learning set'. The 15 areas of disagreement were used as a second set. In the univariate analysis, the most significant differences in the learning set were found for Ki67, p53, stratification index (SI), mean nuclear area, and volume. Further multivariate analysis showed that for discrimination between ND and LGD, the combination of Ki67 and SI resulted in 94 per cent correctly classified areas. Likewise, for the discrimination between LGD and HGD, Ki67 and SI were the most powerful combination (again, 94 per cent of areas classified correctly). The discrimination between HGD and ImCa with any combination of the quantitative parameters never exceeded 80 per cent correct classification. The addition of p53 was of no value in improving the discrimination of ND vs. LGD, or of LGD vs. HGD. In the 15 original disagreement areas of the initial set of 73, three of the five ND/LGD areas could be uniquely classified as either ND or LGD by Ki67 and SI. Moreover, three of the four LGD/HGD disagreement areas could be uniquely classified with the combination of Ki67 and SI as either LGD or HGD. We conclude that the quantitative assessment of cytometric and morphometric features associated with proliferation and differentiation (especially Ki67 and SI) can be a valuable adjunct tool for clinical decision making in Barrett's oesophagus.

摘要

巴雷特食管发育异常的分级具有治疗意义,但主观分级存在显著的观察者差异。定量病理学方法有助于实现更准确、可重复的诊断。在本研究中,为此评估了p53和Ki67的免疫定量以及与增殖和分化相关特征的形态计量分析。在35例食管切除标本的切片中,最初考虑了73个区域,这些区域分别显示无发育异常(ND)、低级别发育异常(LGD)、高级别发育异常(HGD)或黏膜内癌(ImCa)。两位经验丰富的病理学家对58个区域进行双盲检查达成了一致意见,这些区域用作“学习集”。15个存在分歧的区域用作第二组。在单变量分析中,学习集中Ki67、p53、分层指数(SI)、平均核面积和体积的差异最为显著。进一步的多变量分析表明,对于区分ND和LGD,Ki67和SI的组合使94%的区域分类正确。同样,对于区分LGD和HGD,Ki67和SI是最有效的组合(同样,94%的区域分类正确)。使用任何定量参数组合区分HGD和ImCa的正确分类率从未超过80%。添加p53对改善区分ND与LGD或LGD与HGD没有价值。在最初73个区域中的15个原始分歧区域中,5个ND/LGD区域中的3个可以通过Ki67和SI唯一地分类为ND或LGD。此外,4个LGD/HGD分歧区域中的3个可以通过Ki67和SI的组合唯一地分类为LGD或HGD。我们得出结论,对与增殖和分化相关的细胞计量和形态计量特征(尤其是Ki67和SI)进行定量评估,可为巴雷特食管的临床决策提供有价值的辅助工具。

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