The express-diagnostic of mammary diseases and forecasting the breast cancer development

Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369) Pub Date : 2000-02-28 DOI:10.1109/SPCMTT.2000.896127

V.V. Baydaeva

{"title":"The express-diagnostic of mammary diseases and forecasting the breast cancer development","authors":"V.V. Baydaeva","doi":"10.1109/SPCMTT.2000.896127","DOIUrl":null,"url":null,"abstract":"The purpose of the present study is the development of methods for the express diagnosis of mammary diseases and for forecasting breast cancer development. This is based on the results of the estimation of autonomic nervous system condition, the immunity system and also intersystem interactions. The immune status and heart rate variability of each patient were examined. Immune status results included the following parameters: a T-system (CD-markers: CD3, CD4, CD8, CD 16, CD4/CD8), B-system: IgG, IgF6, IgA, monocytic phapocytosis (NST-test spontaneous, stimulus, phagocyte's reserve, reaction intensity), complement system and CIC. The heart rate variability was studied by 256 RR-intervals which were obtained in rest, during a tilt-test and during recovery. For the statistical characterisation of the heart rhythm the authors used Baevski's pressure index (IN), index of autonomic balance (IVR), autonomic parameter of the rhythm (VPR), parameter of adequacy of regulative process (PAPR). Summary parameters were determined of the relation of the basic parameters of variational pulsometry: mode (Mo), amplitude of the mode (AMo), variation scope (dX). The spectral analysis of the cardiorhythm was studied.","PeriodicalId":421846,"journal":{"name":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPCMTT.2000.896127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

The purpose of the present study is the development of methods for the express diagnosis of mammary diseases and for forecasting breast cancer development. This is based on the results of the estimation of autonomic nervous system condition, the immunity system and also intersystem interactions. The immune status and heart rate variability of each patient were examined. Immune status results included the following parameters: a T-system (CD-markers: CD3, CD4, CD8, CD 16, CD4/CD8), B-system: IgG, IgF6, IgA, monocytic phapocytosis (NST-test spontaneous, stimulus, phagocyte's reserve, reaction intensity), complement system and CIC. The heart rate variability was studied by 256 RR-intervals which were obtained in rest, during a tilt-test and during recovery. For the statistical characterisation of the heart rhythm the authors used Baevski's pressure index (IN), index of autonomic balance (IVR), autonomic parameter of the rhythm (VPR), parameter of adequacy of regulative process (PAPR). Summary parameters were determined of the relation of the basic parameters of variational pulsometry: mode (Mo), amplitude of the mode (AMo), variation scope (dX). The spectral analysis of the cardiorhythm was studied.

查看原文本刊更多论文

乳腺疾病的表达诊断及乳腺癌发展的预测

本研究的目的是发展乳腺疾病的快速诊断和预测乳腺癌发展的方法。这是基于对自主神经系统状况、免疫系统和系统间相互作用的估计结果。检查每位患者的免疫状态和心率变异性。免疫状态结果包括以下参数:t系统(CD-标志物:CD3、CD4、CD8、cd16、CD4/CD8)， b系统:IgG、IgF6、IgA，单核细胞吞噬(nst检测自发、刺激、吞噬细胞储备、反应强度)，补体系统和CIC。在休息、倾斜试验和恢复期间，通过256个rr间隔来研究心率变异性。对于心律的统计特征，作者使用Baevski的压力指数(IN)，自主平衡指数(IVR)，节律的自主参数(VPR)，调节过程的充分性参数(PAPR)。根据变分脉搏基本参数:模态(Mo)、模态振幅(AMo)、变化范围(dX)之间的关系确定总结参数。研究了心律的频谱分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)

自引率

0.00%

发文量