Bartels P H, da Silva V D, Montironi R, Hamilton P W, Thompson D, Vaught L, Bartels H G
Optical Sciences Center, University of Arizona, Tucson 85721, USA.
Anal Quant Cytol Histol. 1998 Oct;20(5):407-16.
To characterize nuclei from prostatic lesions in a highly specific manner by developing a nuclear chromatin texture signature and to characterize lesions by means of their composition of nuclei with diverse degrees of deviation from normal.
High-resolution digitized imagery of nuclei from normal prostates, from prostatic neoplastic lesions of low and high grade and from histologically normal appearing regions of prostates with low and high grade prostatic intraepithelial neoplasia (PIN) lesions were recorded. A set of 65 features descriptive of the spatial and statistical distribution of nuclear chromatin was computed for each nucleus. These features were arranged and processed to form a distinctive signature. A distance metric from "normal" was defined and computed for each nucleus.
Profiles of feature values can, after suitable scaling, be presented as distinctive feature value signatures. For many practical applications, profiles based on a standardized distance from normal nuclei may be more useful. Such profiles allow the derivation of a progression curve, showing increasing distances for diagnostic groups with increasing lesion progression up to high grade PIN lesions. Within each diagnostic group different cases show distinctive distributions of nuclei with differing degrees of deviation from normal, allowing the derivation of a lesion signature.
Nuclear chromatin texture signatures may be of value for the characterization of both nuclei and lesions. They are based on a more comprehensive use of information offered by the nuclear chromatin pattern than that included in classification methods. While these signatures offer a more specific characterization of a clinical sample, they also are subject to more variability within a diagnostic category. This may not be due to randomness but may reflect some actual differences between lesions.
通过开发一种核染色质纹理特征，以高度特异性的方式对前列腺病变的细胞核进行特征描述，并根据其细胞核组成与正常情况的不同程度偏差来对病变进行特征描述。
记录了来自正常前列腺、低级别和高级别前列腺肿瘤性病变以及具有低级别和高级别前列腺上皮内瘤变（PIN）病变的前列腺组织学正常区域的细胞核的高分辨率数字化图像。为每个细胞核计算了一组描述核染色质空间和统计分布的65个特征。这些特征经过排列和处理以形成独特的特征。为每个细胞核定义并计算了与“正常”的距离度量。
经过适当缩放后，特征值轮廓可以呈现为独特的特征值特征。对于许多实际应用，基于与正常细胞核标准化距离的轮廓可能更有用。这样的轮廓允许推导进展曲线，显示随着病变进展至高级别PIN病变，诊断组的距离增加。在每个诊断组内，不同病例显示出与正常情况有不同程度偏差的细胞核的独特分布，从而允许推导病变特征。
核染色质纹理特征可能对细胞核和病变的特征描述有价值。它们基于比分类方法更全面地利用核染色质模式提供的信息。虽然这些特征为临床样本提供了更具体的特征描述，但它们在诊断类别内也存在更大的变异性。这可能不是由于随机性，而是可能反映了病变之间的一些实际差异。
