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Tc - 99m MIBI 와 Tl - 201 심근 SPECT에서 역재분포의 임상적 의의
김지열(Ji Yeul Kim),범희승(Hee Seung Bom),송호천(Ho Cheon Song),박주형(Joo Hyung Park),정명호(Myung Ho Jeong),조정관(Jeong Gwan Cho),박종춘(Jong Choon Park),강정채(Jung Chaee Kang),길광채(Kwang Chae Gill) 대한핵의학회 1996 핵의학 분자영상 Vol.30 No.1
N/A Reverse redistribution(RRD) refers to a perfusion defect that develops or becomes more evident on rest imaging compared with the stress imaging. This phenomenon was not uncommonly noted on myocardial perfusion single photon emission computed tomography(SPECT). However, the clinical significance and pathophysiological mechanism of RRD were unclear. The aim of this study was to evaluate the incidence and clinical significance of RRD on either dipyridamole T1-201 or Tc-99m MIBI myocardial perfusion SPECT. RRD was defined as≥10% decrease in relative T1-201 and Tc-99m MIBI uptakes on rest images compared to the stress images or as an appearance of new perfusion defects on rest images. It was observed in both T1-201 (44/463, 9.5%) and Tc-99m MIBI (124/999, 12.4%) myocardial SPECTs similarly, with an overall incidence of 11.5%(168/1462). Many apparently unrelated disease groups showed the finding: post-revascularization(53.9%), coronary artery disease(24.6%), myocardial infarction(l2.3%), and those with normal coronary arteries(9.2%). Clinical and angiographic characteristics of 65 consecutive patients who underwent coronary arteriography in 168 patients who had RRD on myocardial perfusion SPECT were reviewed. Tc-99m MIBI was used in 44 patients, and TI-201 was used in 21 patients. Of the 81 myocardial segments analyzed which showed RRD, 32 segments(39.5%) were in septum, 24(29.5%) in inferior wall, 12(14.8%) in anterior wall, 7(8.7%) in apex and 6(7.4%) in lateral wall. There was no clear association between RRD and coronary arterial stenosis or presence of collateral circulations. Ventriculographical wall motion was evaluated in 27 regions with RRD; it was normal in 12 regions, hypokinetic in 12 regions and dyskinetic in 3 regions. In 14 of 21 patients who showed RRD on T1-201 myocardial SPECT, T1-201 reinjection was performed immediately after the 3-4 hour redistribution studies. Ten of 14(71.4%) showed enhanced T1-201 activity(≥10% increased) after reinjection. We conclude that RPD is not related to mode of stre
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재배 작물 추천을 위한 셀프서비스 비즈니스 인텔리전스 시스템
김삼근(Sam-Keun Kim),김광채(Kwang-Chae Kim),김현우(Hyeon-Woo Kim),정우진(Woo-Jin Jeong),안재근(Jae-Geun Ahn) 한국산학기술학회 2021 한국산학기술학회논문지 Vol.22 No.3
전통적인 BI(Business Intelligence) 시스템은 제 시간에 더 나은 의사결정을 위한 도구로 널리 사용되어 왔다. 그러나 급증하는 데이터에 대한 효율적 분석을 위해 데이터 웨어하우스를 구축하는 일은 시간이 오래 걸리고 복잡하다. 특히, 데이터 웨어하우스 구축에 요구되는 ETL(Extract, Transform, Load) 프로세스는 BI 플랫폼이 클라우드 환경으로 전환되면서 훨씬 더 복잡해졌다. 이러한 ETL 이슈를 극복하기 위해 MongoDB와 같은 NoSQL 데이터베이스에 기반한 다양한 BI 솔루션들이 제안되었다. 한편, 의사 결정권자는 IT 부서나 BI 전문가의 도움 없이 데이터에 쉽게 접근할 수 있기를 원한다. 최근, 이러한 BI 이슈들을 해결하기 위한 방안으로 셀프서비스 BI가 등장하였다. 본 논문에서는 귀농귀촌인의 재배 작물 선택을 지원하기 위해 MongoDB 클라우드를 데이터 웨어하우스로 하는 농업 데이터 기반의 셀프서비스 BI 시스템을 제안한다. 제안 시스템은 의사 결정권자에게 통찰력을 제공하기 위해 MongoDB 차트를 이용한 데이터 시각화 기능, 고급 데이터 검색을 위한 리포팅 기능, 실시간 데이터 분석을 위한 모니터링 기능을 지원한다. 의사결정권자는 다양한 방식으로 데이터에 직접 접근할 수 있고, 제안 시스템의 기능들을 활용하여 셀프서비스 방식으로 데이터를 분석할 수 있다. Traditional business intelligence (BI) systems have been used widely as tools for better decision-making on time. On the other hand, building a data warehouse (DW) for the efficient analysis of rapidly growing data is time-consuming and complex. In particular, the ETL (Extract, Transform, and Load) process required to build a data warehouse has become much more complex as the BI platform moves to a cloud environment. Various BI solutions based on the NoSQL database, such as MongoDB, have been proposed to overcome these ETL issues. Decision-makers want easy access to data without the help of IT departments or BI experts. Recently, self-service BI (SSBI) has emerged as a way to solve these BI issues. This paper proposes a self-service BI system with farming data using the MongoDB cloud as DW to support the selection of new crops by return-farmers. The proposed system includes functions to provide insights to decision-makers, including data visualization using MongoDB charts, reporting for advanced data search, and monitoring for real-time data analysis. Decision makers can access data directly in various ways and can analyze data in a self-service method using the functions of the proposed system.
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