Software Engineering, Treatment Planning, and QA

软件工程、治疗计划和质量保证

基本信息

批准号：
8256665
负责人：
JEFFREY F WILLIAMSON
金额：
$ 50.13万
依托单位：
VIRGINIA COMMONWEALTH UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-04-16 至 2013-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8256665
关键词：
Address Algorithms Benchmarking Brachytherapy Clinical Clinical Trials Code Complex Complication Computer software Conduct Clinical Trials Coupled Data Data Analyses Data Set Databases Development Development Plans Documentation Dose Effectiveness Ensure Environment Evaluation Four-dimensional Functional Imaging Goals Human Image Institution Intensity-Modulated Radiotherapy Intervention Investigation Language Libraries Manuals Mechanics Medical Methodology Methods Modality Monitor Normal tissue morphology Pathway interactions Patients Principal Investigator Probability Procedures Process Production Productivity Protocols documentation Radiation Oncology Radiation therapy Regimen Research Research Infrastructure Research Personnel Research Support Resources Sampling Scheme Software Engineering Software Tools Source Source Code Standardization Statistical Models Structure System Techniques Testing Time Translations Universities Validation Variant Virginia Vision Work base clinical application data management density design experience graphical user interface image processing image registration imaging modality improved information gathering meetings novel programs quality assurance simulation simulation software software development statistics tool treatment duration treatment planning treatment site tumor verification and validation virtual

项目摘要

The overall goal of Core A is to develop a unique and enhanced software engineering, IMRT planning and quality assurance infrastructure, that addresses the unique data management needs, error pathways, and logistical constraints posed by image guided adaptive radiation therapy (IGART). IGART confronts radiation oncology with new and unfamiliar demands: a high volume of imaging data drawn from many different modalities, new clinical tools such as deformable image registration which must perform reliably in a real- time automated mode, the need for real-time IMRT planning codes that deliver optimal plans with little or no intervention, and integration of complex software tools and functions drawn from the other projects and cores into an integrated structure. These functions include the comprehensive management and manipulation of multiple imaging data sets from diverse imaging modalities, IGART IMRT planning incorporating probabilistic models, maintaining a plan database, and acquiring statistics derived from the quantitative plan evaluation tools such as equivalent uniform dose (EUD), normal tissue complication probability (NTCP), tumor control probability (TCP), and biologically equivalent dose (BED) to accommodate variations in fraction size and to allow summation of brachytherapy and external beam dose distributions. Core A will provide the following functions to meet the overall goals of this PPG of which develops, investigates, optimizes, and implements a system to study the potential clinical advantages of IGART via coupled virtual clinical trials (VCTs) and clinical trials (ACTs). Core Function 1 will develop a novel layered software engineering and data management infrastructure, based upon a shared set of user-program data structures, common tools, and simulation scripting languages, that isolates software developers from the mechanics of storing and retrieving data and converting imaging studies from a variety of native formats to a common format for performing virtual clinical trials (VCTs) conducted by Projects 1-4. Core Function 2 will interface new tools as they are developed in Projects 1-4 into the software infrastructure, which will form the VCD IGART system. Core Function 3 will generate automated IMRT re-optimizations and treatment plans, and data analysis utilizing the VCU IGART system. Core Function 4 will focus on developing a comprehensive set of QA tools and techniques to facilitate the safe and efficient clinical implementation of IGART.

核心 A 的总体目标是开发独特且增强的软件工程、IMRT 规划和质量保证基础设施，解决独特的数据管理需求、错误路径和图像引导适应性放射治疗（IGART）带来的后勤限制。 IGART 对抗辐射肿瘤学具有新的和不熟悉的需求：从许多不同的领域提取的大量成像数据模式，新的临床工具，例如变形图像配准，必须在真实的环境中可靠地执行时间自动化模式，需要实时 IMRT 计划代码，以很少或根本不需要提供最佳计划干预以及集成来自其他项目和核心的复杂软件工具和功能成一个一体化的结构。这些功能包括综合管理和操纵来自不同成像模式的多个成像数据集，IGART IMRT 规划结合概率模型、维护计划数据库并获取从定量计划评估中得出的统计数据等效均匀剂量 (EUD)、正常组织并发症概率 (NTCP)、肿瘤控制等工具概率（TCP）和生物等效剂量（BED）以适应分数大小的变化并允许近距离放射治疗和外束剂量分布的求和。核心A将提供以下内容旨在实现本 PPG 的总体目标，其中开发、调查、优化和实施通过耦合虚拟临床试验（VCT）研究 IGART 潜在临床优势的系统临床试验（ACT）。核心功能 1 将开发一种新颖的分层软件工程和数据管理基础设施，基于一组共享的用户程序数据结构、通用工具和模拟脚本语言，将软件开发人员与存储和存储机制隔离开来检索数据并将成像研究从各种本机格式转换为通用格式执行项目 1-4 进行的虚拟临床试验 (VCT)。核心功能 2 将连接新工具因为它们在项目 1-4 中被开发成软件基础设施，这将形成 VCD IGART 系统。核心功能 3 将生成自动 IMRT 重新优化和治疗计划以及数据利用 VCU IGART 系统进行分析。核心功能 4 将重点开发一套全面的促进 IGART 安全高效临床实施的 QA 工具和技术。