FORECASTING THE BURDENED COURSE OF SURGERIES AND EARLY POSTOPERATIVE PERIOD IN PATIENTS WITH PULMONARY TUBERCULOSIS ON THE BASIS OF DENSITOMETRIC ANALYSIS OF PREOPERATIVE COMPUTER TOMOGRAPHY OF CHEST ORGANS

Author:

Kalabukha Ihor,Maietnyi Ievgen

Abstract

Topicality – the success of the use of densitotometry in computed tomography of the lungs to assess the condition of the lungs prompted to determine the possibility of predicting the course of the disease in the surgical treatment of patients with pulmonary tuberculosis. The aim – to determine densitometric criteria for prognosis of burdened intra- and postoperative course in patients operated on for pulmonary tuberculosis. Methods – the analysis of preoperative densitometry indices in CT of the lungs in the upper and lower pulmonary fields on the side of the operation in 40 patients operated on for chemoresistant pulmonary tuberculosis with a burdened intra- and postoperative period and the effect of densitometric abnormalities on intra-operative period. Results – in all examined patients the deviation of values of densitometry from conditional norm was revealed. In most patients with high parenchymal density there was obliteration of the pleural cavity and between the lobular fissures, fibrous changes in the root of the lung, with low density in most cases there was bleeding and insufficient tightness of the parenchymal suture, which together aggravates the early postoperative period. Conclusions – the relationship between deviations in the density of the lung parenchyma before surgery and the possibility of aggravating factors in the process of surgical treatment of patients with pulmonary tuberculosis was discovered; it was determined that predicting the occurrence of certain aggravating factors in the process of surgical treatment of patients with pulmonary tuberculosis can help prevent complications of the operation or significantly reduce their manifestations.

Publisher

OU Scientific Route

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3