Evaluation of motion correction effect and image quality with the periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) (BLADE) and parallel imaging acquisition technique in the upper abdomen

PURPOSE: To evaluate motion correction effect and image quality in the upper abdomen with the periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) (BLADE) and parallel imaging acquisition technique. MATERIALS AND METHODS: A total of 50 consecutive patients underwent abdominal MR imaging. Fat-saturated T2-weighted turbo spin-echo sequences were obtained by respiratory triggering. The subjects were examined with three different conditions of echo train length (ETL), blade width, and percent k-space coverage in the same scanning time: 19/30/100%, 30/30/100%, and 30/52/175%, which were designated as L/C(1), L/C(2), and L/C(3), respectively. The parallel imaging acquisition technique was used to either reduce ETL from 30 to 19 in L/C(1) or increase k-space coverage from 100% to 175% in L/C(3) compared with L/C(2). Motion and streak artifacts, and overall image quality were evaluated visually by two radiologists, independently. RESULTS: Motion and streak artifacts were mostly reduced in L/C(3) condition. The L/C(3) image also gave the best overall image quality compared with other conditions (P < 0.001). The inter-rater reliability for each evaluation agreed well. CONCLUSION: In upper abdominal BLADE MRI, it was possible to reduce image artifacts and obtain better image quality by increasing the k-space coverage with parallel imaging in the same scanning time.     

基于动态自然语言建模的ETL工具设计

目前各个医院存在的各种系统如HIS、LIS和PACS等,由于厂商缺乏统一的标准,它们之间的数据结构都不相同。这给数据整合共享带来了很大的困难。设计了一种基于动态自然语言建模的ETL工具,由动态自然语言建模来建立统一的医疗模型,并通过该ETL工具来整合清洗异构医疗数据,最后建立一个统一规范的数据中心。该工具已在实际项目中成功运用。     

基于HIS的中成药不良反应监测系统设计与思考

目的:为中成药不良反应监测系统的建设提供科学有效的解决方案.方法:通过对中成药不良反应监测系统的特点和问题进行分析,从设计思路、体系架构、业务流程和功能等几个方面对基于HIS的中成药不良反应监测系统的建设进行了示范性的研究与设计.结果:建立了基于HIS的中成药不良反应监测系统的原型系统.结论:建立的原型系统具有自身的优点,可以作为国家监测平台的有益补充,并为进一步的研究指明了方向.     

Whole-genome analysis and HLA genotyping of enteropathy-type T-cell lymphoma reveals 2 distinct lymphoma subtypes

BACKGROUND & AIMS: Enteropathy-type T-cell lymphoma (ETL) is an aggressive extranodal T-cell non-Hodgkin lymphoma assumed to arise in the setting of celiac disease. METHODS: To precisely define the genetic alterations underlying the pathogenesis of ETL, 30 ETL samples were profiled for genetic copy number alterations using high-resolution whole-genome tiling path array comparative genomic hybridization. To investigate the potential association of genetic alterations in ETL with celiac disease, HLA-DQB1 genotyping was performed. RESULTS: By array comparative genomic hybridization, 13 novel recurrent minimal regions of chromosomal alteration were identified on multiple chromosome arms. ETL is characterized by frequent complex gains of 9q31.3-qter (70% of cases), or by an almost mutually exclusive 2.5-megabase loss of 16q12.1 (23% of cases). Two distinct groups of ETL could be delineated morphologically and genetically: type 1 ETL is characterized by nonmonomorphic cytomorphology, CD56 negativity, and chromosomal gains of 1q and 5q. Type 1 ETL also appears to be linked pathogenetically to celiac disease, sharing genetic alterations and HLA-DQB1 genotype patterns with (refractory) celiac disease. Type 2 ETL shows monomorphic small- to medium-sized tumor cell morphology, frequently shows CD56 expression, MYC oncogene locus gain, and rare gains of chromosomes 1q and 5q. In contrast to type 1 ETL, type 2 ETL shows a HLA-DQB1 genotype pattern more resembling that of the normal Caucasian population. CONCLUSIONS: Contrary to current clinical classification, ETL comprises 2 morphologically, clinically, and genetically distinct lymphoma entities. In addition, type 2 ETL may not be associated with celiac disease.     

REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap

ObjectiveA memory clinic at an academic medical center has relied on several ad hoc data capture systems including Microsoft Access and Excel for cognitive assessments over the last several years. However these solutions are challenging to maintain and limit the potential of hypothesis-driven or longitudinal research. REDCap, a secure web application based on PHP and MySQL, is a practical solution for improving data capture and organization. Here, we present a workflow and toolset to facilitate legacy data migration and real-time clinical research data collection into REDCap as well as challenges encountered.Materials and methodsLegacy data consisted of neuropsychological tests stored in over 4000 Excel workbooks. Functions for data extraction, norm scoring, converting to REDCap-compatible formats, accessing the REDCap API, and clinical report generation were developed and executed in Python.ResultsOver 400 unique data points for each workbook were migrated and integrated into our REDCap database. Moving forward, our REDCap-based system replaces the Excel-based data collection method as well as eases the integration into the standard clinical research workflow and Electronic Health Record.ConclusionIn the age of growing data, efficient organization and storage of clinical and research data is critical for advancing research and providing efficient patient care. We believe that the workflow and tools described in this work to promote legacy data integration as well as real time data collection into REDCap ultimately facilitate these goals.     

基于商业智能决策系统的区域卫生信息共享云平台设计方法

目的：尝试设计基于商业智能决策系统的区域卫生信息共享云平台,以节约社会资金投入,统一管理医疗资源。方法：从现有的区域卫生信息平台架构出发,把握政策导向,分析问题。结果：设计了基于商业智能决策系统的区域卫生信息共享云平台,并介绍了云平台架构涉及的四类应用工具。结论：基于商业智能决策系统的区域卫生信息共享云平台建设,将开创“医院提供原始数据,区域提供数据分析服务”的合作新模式。     

临床数据发布中心集成与开发

以北京怀柔医院为例,介绍临床数据发布中心集成与开发,具体阐述平台的关键技术、体系结构、功能设计、应用效果,指出该平台有助于改善患者就医体验,提高医疗效率与质量。     

中药上市后再评价HIS"真实世界"集成数据仓库的设计方法探讨

目的:探讨利用医院信息系统数据的集成构建涵盖广泛的用于药物上市后再评价的大型数据库系统的可行性和必要性,为中药上市后再评价HIS(hospital information system)集成数据仓库的构建提供总体设计思路和方法.方法:通过对国内外利用电子信息系统开展基于真实世界的临床试验设计的分析和对比,结合我国医院信息系统的特性,从设计思路、设计特点、存在问题和解决办法等几个方面对总体构架进行设计和探讨.结果:提出了中药上市后再评价HIS集成数据仓库的设计方案,指明了建设的途径和方法.结论:提出的中药上市后再评价HIS集成数据仓库的设计方案具有高内聚低耦合、安全、通用、高效、可维护性好的特点,可以有效解决多家医院HIS数据集成过程中的问题和挑战,具有实用价值.     

中药上市后再评价HIS"真实世界"集成数据仓库的构建与实现

目的:构建中药上市后再评价HIS(hospital information system)集成数据仓库,为以中药适应症、剂量疗程、联合用药、合并疾病以及不良反应等为主要内容的中药上市后临床再评价关键技术研究提供数据支撑,为上市后中成药的安全性、有效性和经济性的回顾研究提供数据,同时也为前瞻性研究提供基础.方法:上市中药HIS集成数据仓库利用信息采集系统和数据仓库技术,将多家医院HIS系统的数据进行清洗和有机整合,形成结构标准化、数据规范化的统一的数据仓库,在此基础上开展上市中药再评价关键技术研究.结果:构建了围绕患者住院主记录、患者住院医嘱、患者疾病诊断以及检验指标和经济指标几个主题的包含海量数据的数据仓库和多个可供研究的子数据仓库.结论:建立的数据仓库和子数据仓库可以为中药上市后临床再评价课题提供研究数据并具有临床使用价值,同时也为进一步的研究指明了方向.