Fafin-Lefevre Mélanie, Morlais Fabrice, Guittet Lydia, Clin Bénédicte, Launoy Guy, Galateau-Sallé Françoise, Plancoulaine Benoît, Herlin Paulette, Letourneux Marc
National Institute of Health and Medical Research (INSERM) ERI3 Cancers and Populations Team, Caen University Hospital, Caen, France.
Anal Quant Cytol Histol. 2011 Aug;33(4):183-95.
To identify which morphologic or densitometric parameters are modified in cell nuclei from bronchopulmonary cancer based on 18 parameters involving shape, intensity, chromatin, texture, and DNA content and develop a bronchopulmonary cancer screening method relying on analysis of sputum sample cell nuclei.
A total of 25 sputum samples from controls and 22 bronchial aspiration samples from patients presenting with bronchopulmonary cancer who were professionally exposed to cancer were used. After Feulgen staining, 18 morphologic and DNA content parameters were measured on cell nuclei, via image cytom- etry. A method was developed for analyzing distribution quantiles, compared with simply interpreting mean values, to characterize morphologic modifications in cell nuclei.
Distribution analysis of parameters enabled us to distinguish 13 of 18 parameters that demonstrated significant differences between controls and cancer cases. These parameters, used alone, enabled us to distinguish two population types, with both sensitivity and specificity > 70%. Three parameters offered 100% sensitivity and specificity. When mean values offered high sensitivity and specificity, comparable or higher sensitivity and specificity values were observed for at least one of the corresponding quantiles.
Analysis of modification in morphologic parameters via distribution analysis proved promising for screening bronchopulmonary cancer from sputum.
基于涉及形状、强度、染色质、纹理和DNA含量的18项参数，确定支气管肺癌细胞核中哪些形态学或密度测定参数发生了改变，并开发一种依靠痰液样本细胞核分析的支气管肺癌筛查方法。
使用了25份来自对照组的痰液样本和22份来自职业性接触癌症的支气管肺癌患者的支气管抽吸样本。经福尔根染色后，通过图像细胞术对细胞核测量18项形态学和DNA含量参数。开发了一种分析分布分位数的方法，与简单解释平均值相比，用于表征细胞核中的形态学改变。
参数的分布分析使我们能够区分18项参数中的13项，这些参数在对照组和癌症病例之间显示出显著差异。单独使用这些参数，使我们能够区分两种人群类型，敏感性和特异性均>70%。三项参数的敏感性和特异性均为100%。当平均值具有高敏感性和特异性时，至少一个相应分位数的敏感性和特异性值与之相当或更高。
通过分布分析对形态学参数的改变进行分析，对于从痰液中筛查支气管肺癌具有前景。
