Decision Support Systems for MAG3 Renography

MAG3 肾造影决策支持系统

• 批准号: 6927223
• 负责人: ANDREW Thompson TAYLOR
• 金额: $ 31.46万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2007-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6927223
• 关键词: bioimaging /biomedical imaging; clinical research; computer assisted diagnosis; computer assisted medical decision making; computer system design /evaluation; human data; informatics; interactive multimedia; kidney imaging /visualization; patient oriented research

DESCRIPTION (provided by applicant): The current health care system requires physicians to master an ever-expanding knowledge base while the hours available to master this knowledge base and apply it to specific tasks (e.g., image interpretation, seeing a new patient) are steadily shrinking. The convergence of an expanding knowledge base and escalating time constraints poses a serious problem that will inevitably lead to physician errors. Solutions to this problem require the development of new tools and processes to save physician time and facilitate the application of a broad and sophisticated knowledge base to speci5c clinical problems. Our long-term objective is to improve the care of nephrourology patients and we propose to meet this objective by developing new tools (Decision Support Systems) to (1) assist and educate physicians and trainees to appropriately perform and interpret Tc-99m mercaptoacetyltriglycine (MAG3) renography and (2) to process, check quality control and actually interpret MAG3 renograms. Specijkally, we hypothesize that we can develop Decision Support Systems to interpret adult MAG3 scans as well as a panel of experts. We have chosen to develop Decision Support Systems for MAG3 renography because (1) the vast majority of the estimated 400,000 radionuclide renal scans performed annually in the United States are interpreted by radiologists who lack the time to develop the needed expertise and (2) MAG3 is used in over 70% of studies. We propose to develop two separate Decision Support Systems using totally different approaches, a heuristic model (knowledge based expert system) and a predictive statistical system. These Systems will be developed from a database of 3500-4000 MAG3 studies and will be designed to acquire the study, generate images and curves from a dynamic radionuclide renogram, check for errors, extract the relevant quantitative data and then use these data to interpret the study. Moreover, the user will be able to query the Systems to obtain the supporting data and rules justifying a specific interpretation. The heuristic and predictive statistical approaches will clarify the relative merits of each approach and will provide a template for the development and application of similar diagnostic and educational aids in the future. Finally, the Decision Support Systems will allow us to calculate the incremental contribution each parameter makes to the diagnostic accuracy, delete superfluous measurements, minimize the time and effort required to acquire, process and interpret renal scans, provide an objective analysis of renogram data, facilitate wide dissemination of interpretative criteria, foster standardized interpretation, teach physicians and trainees to perform and interpret renal scans as competently as experts, encourage more appropriate utilization and, most of all, improve the accuracy of MAG3 scan interpretation and thereby enhance the care of nephro-urology patients.

描述（由申请人提供）：目前的医疗保健系统要求医生掌握不断扩大的知识库，而掌握这些知识库并将其应用于特定任务（例如，图像解释，看新病人）的时间正在稳步减少。不断扩大的知识库和不断升级的时间限制构成了一个严重的问题，这将不可避免地导致医生错误。

项目成果

Use of classification and regression trees in diuresis renography.

分类和回归树在利尿肾造影中的应用。

• DOI: 10.1016/j.acra.2006.12.013
• 发表时间: 2007
• 期刊: Academic radiology
• 影响因子: 4.8
• 作者: Binongo,JoséNiloG;Taylor,Andrew;Hill,AndrewN;Schmotzer,Brian;Halkar,Raghuveer;Folks,Russell;Dubovsky,Eva;Garcia,ErnestV;Manatunga,AmitaK
• 通讯作者: Manatunga,AmitaK

Development of a relational database to capture and merge clinical history with the quantitative results of radionuclide renography.

• DOI: 10.2967/jnmt.111.101477
• 发表时间: 2012-12
• 期刊: Journal of nuclear medicine technology
• 影响因子: 1.3
• 作者: Folks RD;Savir-Baruch B;Garcia EV;Verdes L;Taylor AT
• 通讯作者: Taylor AT

A software engine to justify the conclusions of an expert system for detecting renal obstruction on 99mTc-MAG3 scans.

一个软件引擎，用于证明用于在 99mTc-MAG3 扫描上检测肾梗阻的专家系统的结论。

• 发表时间: 2007
• 期刊: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
• 作者: Garcia,ErnestV;Taylor,Andrew;Manatunga,Daya;Folks,Russell
• 通讯作者: Folks,Russell

RENEX: an expert system for the interpretation of 99mTc-MAG3 scans to detect renal obstruction.

RENEX：用于解释 99mTc-MAG3 扫描以检测肾梗阻的专家系统。

• 发表时间: 2006
• 期刊: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
• 作者: Garcia,ErnestV;Taylor,Andrew;Halkar,Raghuveer;Folks,Russell;Krishnan,Meghna;Cooke,CDavid;Dubovsky,Eva
• 通讯作者: Dubovsky,Eva

Development and prospective evaluation of an automated software system for quality control of quantitative 99mTc-MAG3 renal studies.

• 发表时间: 2007-03
• 期刊: Journal of nuclear medicine technology
• 影响因子: 1.3
• 作者: R. Folks;Ernest V. Garcia;Andrew T. Taylor