Greenberg S D, Spjut H J, Estrada R G, Hunter N R, Grenia C
Anal Quant Cytol Histol. 1987 Mar;9(1):49-54.
A review is presented of the Baylor College of Medicine/NASA/Lyndon Johnson Space Center high-resolution image analysis system for the detection of preneoplastic lesions of the lung in sputum specimens. For each specimen, 200 cells are graded as to their Atypia Status Index (ASI), a numerical classification based on a weighted composite of morphometric markers identified in the digitized images. The ASI values, which place individual cells within categories ranging from squamous metaplastic to carcinomatous, form the basis of the Cell Atypia Profile (CAP), which reflects the overall status of the patient's bronchial epithelium and can be used to diagnose and monitor epithelial atypias. Initial studies have shown the ASI and CAP to be accurate indices, whose application in the studies of sputum of individuals at high risk for the development of lung cancer (cigarette smokers over 45 years of age and industrially exposed workers) could lead to the early detection of preneoplastic lung lesions and to effective early clinical intervention, including the cessation of smoking or the application of beta-carotone or retinoids, which reportedly arrest the progression of bronchial epithelial atypias. Computer-assisted cell image analysis of morphometric markers in cells in sputum specimens appears to be uniquely applicable for surveillance of individuals at risk for carcinoma of the lung.
本文介绍了贝勒医学院/美国国家航空航天局/林登·约翰逊航天中心用于检测痰标本中肺肿瘤前病变的高分辨率图像分析系统。对于每个标本,200个细胞根据其异型性状态指数(ASI)进行分级,ASI是一种基于数字化图像中识别出的形态计量标记加权综合的数值分类。ASI值将单个细胞置于从鳞状化生到癌的类别中,构成了细胞异型性图谱(CAP)的基础,CAP反映了患者支气管上皮的整体状态,可用于诊断和监测上皮异型性。初步研究表明,ASI和CAP是准确的指标,其在肺癌高危个体(45岁以上吸烟者和职业暴露工人)痰液研究中的应用可能导致肿瘤前肺病变的早期检测和有效的早期临床干预,包括戒烟或应用β-胡萝卜素或类视黄醇,据报道这些可阻止支气管上皮异型性的进展。痰标本中细胞形态计量标记的计算机辅助细胞图像分析似乎特别适用于肺癌高危个体的监测。