PDF(Pubmed)
Abstract：
UNASSIGNED: To establish a hepatocellular carcinoma imaging database and structured imaging reports based on PACS, HIS, and repository.
UNASSIGNED: This study was approved by the Institutional Review Board. The steps of establishing the database are as follows: 1) According to the standards required for the intelligent diagnosis of HCC, it was attempted to design the corresponding functional modules after analyzing the requirements; 2) Based on client/server (C/S) mode, 3-tier architecture model was adopted. A user interface (UI) could receive data entered by users and show handled data. Business logic layer (BLL) could process the business logic of the data, and data access layer (DAL) could save the data in the database. The storage and management of HCC imaging data could be realized by the SQLSERVER database management software, and Delphi and VC++ programming languages were used.
UNASSIGNED: The test results showed that the proposed database could swiftly obtain the pathological, clinical, and imaging data of HCC from the picture archiving and communication system (PACS) and hospital information system (HIS), and perform data storage and visualization of structured imaging reports. According to the HCC imaging data, liver imaging reporting and data system (LI-RADS) assessment, standardized staging, and intelligent imaging analysis were carried out on the high-risk population to establish a one-stop imaging evaluation platform for HCC, strongly supporting clinicians in the diagnosis and treatment of HCC.
UNASSIGNED: The establishment of a HCC imaging database can not only provide a huge amount of imaging data for the basic and clinical research on HCC, but also facilitate the scientific management and quantitative assessment of HCC. Besides, a HCC imaging database is advantageous for personalized treatment and follow-up of HCC patients.
UNASSIGNED: This study was approved by the Institutional Review Board. The steps of establishing the database are as follows: 1) According to the standards required for the intelligent diagnosis of HCC, it was attempted to design the corresponding functional modules after analyzing the requirements; 2) Based on client/server (C/S) mode, 3-tier architecture model was adopted. A user interface (UI) could receive data entered by users and show handled data. Business logic layer (BLL) could process the business logic of the data, and data access layer (DAL) could save the data in the database. The storage and management of HCC imaging data could be realized by the SQLSERVER database management software, and Delphi and VC++ programming languages were used.
UNASSIGNED: The test results showed that the proposed database could swiftly obtain the pathological, clinical, and imaging data of HCC from the picture archiving and communication system (PACS) and hospital information system (HIS), and perform data storage and visualization of structured imaging reports. According to the HCC imaging data, liver imaging reporting and data system (LI-RADS) assessment, standardized staging, and intelligent imaging analysis were carried out on the high-risk population to establish a one-stop imaging evaluation platform for HCC, strongly supporting clinicians in the diagnosis and treatment of HCC.
UNASSIGNED: The establishment of a HCC imaging database can not only provide a huge amount of imaging data for the basic and clinical research on HCC, but also facilitate the scientific management and quantitative assessment of HCC. Besides, a HCC imaging database is advantageous for personalized treatment and follow-up of HCC patients.
摘要：
UNASSIGNED：建立基于PACS的肝细胞癌影像学数据库和结构化影像学报告，HIS,和存储库。
UNASSIGNED：本研究得到机构审查委员会的批准。建立数据库的步骤如下：1）根据HCC智能诊断所需的标准，在分析需求的基础上,尝试设计相应的功能模块;2)基于客户端/服务器(C/S)模式,采用3层体系结构模型。用户界面(UI)可以接收由用户输入的数据并显示处理的数据。业务逻辑层（BLL）可以处理数据的业务逻辑，数据访问层(DAL)可以将数据保存在数据库中。通过SQLSERVER数据库管理软件可以实现HCC影像数据的存储和管理,使用Delphi和VC++编程语言。
UNASSIGNED：测试结果表明，所提出的数据库可以迅速获得病理，临床,以及来自图片存档和通信系统（PACS）和医院信息系统（HIS）的HCC成像数据，并进行结构化成像报告的数据存储和可视化。根据HCC成像数据，肝脏影像报告和数据系统（LI-RADS）评估，标准化分期，并对高危人群进行智能影像分析,建立肝癌一站式影像评价平台,大力支持临床医生诊断和治疗肝癌。
UNASSIGNED：建立HCC影像数据库不仅可以为HCC的基础和临床研究提供大量的影像数据，同时也有利于HCC的科学管理和量化评估。此外,肝癌影像数据库有利于肝癌患者的个性化治疗和随访.
UNASSIGNED：本研究得到机构审查委员会的批准。建立数据库的步骤如下：1）根据HCC智能诊断所需的标准，在分析需求的基础上,尝试设计相应的功能模块;2)基于客户端/服务器(C/S)模式,采用3层体系结构模型。用户界面(UI)可以接收由用户输入的数据并显示处理的数据。业务逻辑层（BLL）可以处理数据的业务逻辑，数据访问层(DAL)可以将数据保存在数据库中。通过SQLSERVER数据库管理软件可以实现HCC影像数据的存储和管理,使用Delphi和VC++编程语言。
UNASSIGNED：测试结果表明，所提出的数据库可以迅速获得病理，临床,以及来自图片存档和通信系统（PACS）和医院信息系统（HIS）的HCC成像数据，并进行结构化成像报告的数据存储和可视化。根据HCC成像数据，肝脏影像报告和数据系统（LI-RADS）评估，标准化分期，并对高危人群进行智能影像分析,建立肝癌一站式影像评价平台,大力支持临床医生诊断和治疗肝癌。
UNASSIGNED：建立HCC影像数据库不仅可以为HCC的基础和临床研究提供大量的影像数据，同时也有利于HCC的科学管理和量化评估。此外,肝癌影像数据库有利于肝癌患者的个性化治疗和随访.
