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    • 1. 发明申请
    • Method for Predicting the State of the Gastric Mucosa
    • 预测胃粘膜状态的方法
    • US20080162101A1
    • 2008-07-03
    • US10598606
    • 2005-03-03
    • Seppo SarnaTapani TiusanenOsmo Suovaniemi
    • Seppo SarnaTapani TiusanenOsmo Suovaniemi
    • G06G7/60
    • G01N33/6893G01N2333/595G01N2333/96477G01N2800/062
    • The present invention is directed to a method for assessing or predicting the state of the gastric mucosa in a subject by determining, in said subject, the probability for the gastric mucosa belonging to at least one gastric mucosa class, the method comprising: measuring, from a sample of said subject, the pepsinogen I (PGI) and gastrin-17 (G-17) analyte concentrations, as well as determining the presence or concentration of a marker for Helicobacter pylori; entering the data so obtained in a data processing system comprising an operating system, a database and means for transceiving and processing data, the said data processing system being adapted to determine the probability for the gastric mucosa belonging to the at least one gastric mucosa class, based on the data entered as well as on predefined clinical data in the database, the information so generated being indicative of the state of the gastric mucosa in said subject.
    • 本发明涉及通过在所述受试者中确定属于至少一种胃粘膜类别的胃粘膜的概率来评估或预测受试者胃粘膜状态的方法,所述方法包括:从 所述受试者的样品,胃蛋白酶原I(PGI)和胃泌素-17(G-17)分析物浓度,以及确定幽门螺杆菌标记物的存在或浓度; 输入在包括操作系统,数据库和用于收发和处理数据的装置的数据处理系统中获得的数据,所述数据处理系统适于确定属于至少一个胃粘膜类的胃粘膜的概率, 基于输入的数据以及数据库中的预定临床数据,所生成的信息指示所述受试者中胃粘膜的状态。