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通过自动图像分析进行细胞核测量。在癌前病变中的应用。

Karyometry by automated image analysis. Application to precancerous lesions.

作者信息

Rigaut J P, Reith A, el Kebir F Z

出版信息

Pathol Res Pract. 1984 Nov;179(2):216-9. doi: 10.1016/S0344-0338(84)80132-6.

DOI:10.1016/S0344-0338(84)80132-6
PMID:6522331
Abstract

Many works have shown a high frequency of increased nuclear DNA contents in various precancerous lesions. The true nuclear sizes, which are known to be well correlated with DNA values, may be stereologically estimated from nuclear profile data on tissue sections. Therefore, karyometry, which may be effected very efficiently by automated image analysis, offers an attractive choice when studying sections, in which photometric DNA evaluations are often unreliable. Prerequisites are Feulgen-stained slides and a stringent standardization of all histological procedures. Very few karyometric studies have been done on precancerous lesions. Automated image analysis has seldom been used for nuclear profile data gathering on sections. Suitable stereological models are necessary. The best-known are those for spherical nuclei, which allow an estimation of the size-distribution ('unfolding'). A specific model for parallel-oriented spheroids is particularly suitable for epithelial nuclei. It yields many stereological parameter estimations but does not yet allow a size-shape unfolding. We have used the model for parallel spheroids on nasal epithelial biopsies from nickel workers. The nuclear dimensions are usually clearly increased in metaplasia and dysplasia. Some rare dysplastic zones, however, present a major contribution of normal-sized nuclei, and this may have a prognostic significance. Our model may be applied to other epithelia. A new sphere unfolding model has been used on liver sections from Farber-protocol-treated rats. Compared to normal livers, where tetraploid nuclei predominate over diploid ones, transitional cell zones show an overwhelming predominance of diploid nuclei, and hyperplastic precancerous nodules have various degrees of non-modal and high-value ploidies. Karyometry may help to determine which lesions should be considered as possible premalignancies.

摘要

许多研究表明,各种癌前病变中核DNA含量增加的频率很高。已知与DNA值密切相关的真实核大小,可以通过组织切片上的核轮廓数据进行体视学估计。因此,通过自动图像分析可以非常有效地进行的核测量,在研究光度法DNA评估往往不可靠的切片时提供了一个有吸引力的选择。前提条件是福尔根染色的玻片和所有组织学程序的严格标准化。对癌前病变进行的核测量研究非常少。自动图像分析很少用于收集切片上的核轮廓数据。需要合适的体视学模型。最著名的是用于球形核的模型,它可以估计大小分布(“展开”)。一种适用于平行排列球体的特定模型特别适合上皮细胞核。它产生许多体视学参数估计,但还不允许大小-形状展开。我们已经将平行球体模型用于镍工人的鼻上皮活检。化生和发育异常时核尺寸通常明显增加。然而,一些罕见的发育异常区域有大量正常大小的核,这可能具有预后意义。我们的模型可以应用于其他上皮组织。一种新的球体展开模型已用于法伯方案处理大鼠的肝脏切片。与正常肝脏相比,正常肝脏中四倍体核占主导地位,而过渡细胞区显示二倍体核占压倒性优势,增生性癌前结节有不同程度的非模式和高值倍体。核测量可能有助于确定哪些病变应被视为可能的癌前病变。

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Karyometry by automated image analysis. Application to precancerous lesions.通过自动图像分析进行细胞核测量。在癌前病变中的应用。
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