Suppr超能文献

利用纹理分析和因子分析检测甲状腺肿瘤细胞核染色质模式的潜在特征。

Detection of underlying characteristics of nuclear chromatin patterns of thyroid tumor cells using texture and factor analyses.

作者信息

Murata Shin-ichi, Mochizuki Kunio, Nakazawa Tadao, Kondo Tetsuo, Nakamura Nobuki, Yamashita Hiroto, Urata Yoji, Ashihara Tsukasa, Katoh Ryohei

机构信息

Department of Pathology, University of Yamanashi School of Medicine, Yamanashi, Japan.

出版信息

Cytometry. 2002 Nov 1;49(3):91-5. doi: 10.1002/cyto.10162.

Abstract

BACKGROUND

Aspiration biopsy cytology of thyroid tumors has been used more frequently in recent times to differentiate between malignant and benign lesions. Chromatin patterns of the tumor cell nuclei are one of most important factors for cytologic diagnosis. The interpretation of nuclear chromatin patterns is subjective and more difficult than that of nuclear size or shape. In the present report, we investigated how to detect underlying chromatin characteristics of benign and malignant thyroid tumor cells by means of texture and factor analyses.

METHODS

We employed a computer-aided system in which light microscopy was combined with an image processor and monochrome camera. Using this system, 100 randomly selected cells in a Papanicolaou stained, aspiration biopsy cytologic smear in each case of 39 benign and malignant thyroid tumor cases were digitized. We applied two-dimensional and higher texture analyses with the use of co-occurrence and run-length matrices to analyze the chromatin patterns. Factor analysis was used to determine whether a large number of independent variables actually measured one or more underlying common variables.

RESULTS

According to parameters with high factor-loading values, the morphologic chromatin characters were classified into three categories according to heterogeneity, contrast, and homogeneity of chromatin patterns. On the basis of analyses with these morphologic categories, nuclei of papillary carcinoma showed higher contrast of chromatin patterns than did those of the benign group. Moreover, there was a variety of contrasting chromatin patterns among cells in each papillary carcinoma case in comparison with the benign group. In contrast, follicular carcinomas showed a significant difference in the standard deviation of factor 3, which indicated more monotonous chromatin patterns among cells in each follicular carcinoma case than in each benign case.

CONCLUSION

We believe that this technique, using texture and factor analyses, is useful in the detection of underlying characteristics of nuclear chromatin patterns in aspiration biopsy cytology.

摘要

背景

近年来,甲状腺肿瘤的针吸活检细胞学检查越来越频繁地用于鉴别恶性和良性病变。肿瘤细胞核的染色质模式是细胞学诊断的最重要因素之一。核染色质模式的解读具有主观性,且比核大小或形状的解读更困难。在本报告中,我们研究了如何通过纹理分析和因子分析来检测良性和恶性甲状腺肿瘤细胞潜在的染色质特征。

方法

我们采用了一种计算机辅助系统,该系统将光学显微镜与图像处理器和单色相机相结合。使用该系统,对39例良性和恶性甲状腺肿瘤病例的每例巴氏染色针吸活检细胞学涂片随机选取100个细胞进行数字化处理。我们使用共生矩阵和游程长度矩阵进行二维及更高维度的纹理分析,以分析染色质模式。因子分析用于确定大量实际测量的自变量是否实际上测量了一个或多个潜在的共同变量。

结果

根据具有高因子载荷值的参数,形态学染色质特征根据染色质模式的异质性、对比度和同质性分为三类。基于这些形态学类别的分析,乳头状癌的细胞核染色质模式对比度高于良性组。此外,与良性组相比,每个乳头状癌病例的细胞之间存在多种对比鲜明的染色质模式。相比之下,滤泡状癌在因子3的标准差上有显著差异,这表明每个滤泡状癌病例的细胞之间的染色质模式比每个良性病例中的更单调。

结论

我们认为,这种使用纹理分析和因子分析的技术有助于在针吸活检细胞学检查中检测核染色质模式的潜在特征。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验