MIRDCalc – A Community Tool for Deriving and Reporting Patient Organ Doses in Nuclear Medicine, Computed Tomography, and Hybrid Imaging

MIRDCalc — 用于导出和报告核医学、计算机断层扫描和混合成像中患者器官剂量的社区工具

• 批准号: 10456116
• 负责人: WESLEY E BOLCH
• 金额: $ 62.22万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-13 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10456116
• 关键词: Address; Adoption; Animals; Architecture; Archives; Back; Benefits and Risks; Big Data; Biodistribution; Biomedical Research; Childhood; Clinical; Clinical Research; Code; Communities; Complex; Computed Tomography Scanners; Computer software; Costs and Benefits; Data; Databases; Derivation procedure; Detection; Development; Diagnostic; Diagnostic Imaging; Diagnostic radiologic examination; Digital Imaging and Communications in Medicine; Discipline of Nuclear Medicine; Disease; Documentation; Dose; Evidence Based Medicine; FDA approved; Feedback; Florida; Future; Generations; Growth; Health; Healthcare; Hybrids; Image; Imaging Techniques; Infrastructure; Institution; Isotopes; Libraries; Low Dose Radiation; Malignant Neoplasms; Medical; Medical Imaging; Modality; Modeling; Modernization; Monte Carlo Method; Nuclear; Online Systems; Organ; Outcome; Patient Care; Patients; Penetration; Physics; Play; Population; Positron-Emission Tomography; Procedures; Protocols documentation; Radiation; Radiation Dose Unit; Radiation therapy; Radioisotopes; Radiology Specialty; Radiopharmaceuticals; Reporting; Reproducibility; Research; Resources; Risk Assessment; Roentgen Rays; Role; Series; Site; Software Design; Software Tools; Source; Standardization; System; Techniques; Testing; Therapeutic; Therapy trial; Time; Uncertainty; Universities; Update; X-Ray Computed Tomography; base; cancer therapy; clinical decision-making; cost; design; dosimetry; epidemiology study; image archival system; improved; innovation; molecular imaging; molecular targeted therapies; multidisciplinary; nuclear imaging; patient population; personalized medicine; response; risk minimization; simulation; single photon emission computed tomography; tool; treatment optimization; tumor

Project Summary The assessment of radiation organ absorbed dose to patients plays a critical role in both the development and clinical use of radiopharmaceuticals for both diagnostic imaging (cancer/disease detection) and radiation therapy (cancer treatment). Dosimetry also provides the basis of imaging/treatment optimization, and its accessibility and maturation will help define personalized medicine as applied to medical imaging and nuclear therapies in the coming decades. A variety of software codes exist for patient dosimetry in nuclear medicine, but they tend to reside within two extremes of functionality. At one end are more simplistic NM dosimetry tools that merge animal- derived or personalized biodistribution data with standard (population-averaged) models, a technique that has proved valuable historically but has seen minimal technological advancement. At the other end are complex NM dosimetry codes that import patient-specific CT/PET/SPECT images and allow for accurate, but computationally intensive, Monte Carlo simulation-based dosimetry. The issue with these higher-end codes is that they are much more nuanced, resource intensive, and tend to only reside within research-based medical institutions with expert support staff. In this Biomedical Research Partnership between MSK and UF, a new generation of nuclear medicine patient dosimetry code will be developed and released at no cost to the imaging and clinical community. The code – MIRDcalc – is built upon the universally available Microsoft Excel platform and can be used with an easy interactive interface or automated DOS command line. The database powering MIRDcalc stores all necessary information for implementing biodistribution-to-dosimetry calculations using the MIRD schema. The current generation of MIRDcalc thus will not include acquisition and derivation of the input time-activity data, which is beyond the scope of the current application, but will be incorporated into future versions of this code. It includes radionuclide S values for 333 radioisotopes, associated with 12 modern ICRP reference phantoms each with 58 source organs and 44 target organs and is readily expandable to accommodate additional isotopes and phantoms. The MIRDcalc software will be a free tool providing dosimetry that meets current standards, and a platform for further innovations as well as a central framework for supporting a dosimetry user community. Our planned innovations address issues of personalization, uncertainty calculation, documentation, and other key considerations. Of note, and a key feature of this partnership, is the addition of CT organ dosimetry to MIRDcalc, which presently does not exist in any current nuclear medicine software code despite the universal adoption of combination PET-CT and the ever-increasing penetration of SPECT-CT scanners in diagnostic radiology and nuclear medicine.

项目概要 患者辐射器官吸收剂量的评估在疾病的发生和发展中都起着至关重要的作用。 放射性药物在诊断成像（癌症/疾病检测）和放射治疗中的临床应用 （癌症治疗）。剂量测定还提供成像/治疗优化的基础，及其可访问性和 成熟将有助于定义个性化医疗，应用于医学成像和核治疗 未来几十年。核医学中存在多种用于患者剂量测定的软件代码，但它们往往 存在于两个极端的功能中。一方面是更简单的 NM 剂量测定工具，将动物- 使用标准（群体平均）模型导出或个性化的生物分布数据，该技术具有 历史证明它很有价值，但技术进步却微乎其微。另一端是复杂的NM 剂量测定代码可导入患者特定的 CT/PET/SPECT 图像并允许准确但可计算的 基于蒙特卡罗模拟的密集剂量测定。这些高端代码的问题在于它们太多了 更加细致、资源密集，并且往往只存在于拥有专家的研究型医疗机构内 支持人员。 在 MSK 斯隆和佛罗里达大学之间的生物医学研究合作中，新一代核医学患者 剂量测定代码将免费开发并发布给成像和临床界。代码—— MIRDcalc – 基于通用的 Microsoft Excel 平台构建，可以通过简单的方式使用 交互式界面或自动 DOS 命令行。为 MIRDcalc 提供支持的数据库存储了所有必需的内容 使用 MIRD 模式实施生物分布到剂量测定计算的信息。目前的 因此，MIRDcalc 的生成将不包括输入时间活动数据的采集和推导，即 超出了当前应用程序的范围，但将合并到此代码的未来版本中。它包括 333 种放射性同位素的放射性核素 S 值，与 12 个现代 ICRP 参考模型相关，每个模型有 58 个 源器官和 44 个目标器官，并且易于扩展以容纳额外的同位素和 幻影。 MIRDcalc 软件将是一款免费工具，提供符合当前标准的剂量测定，并且是一个平台 进一步的创新以及支持剂量测定用户社区的中央框架。我们计划的 创新解决了个性化、不确定性计算、文档和其他关键问题 考虑因素。值得注意的是，此次合作的一个关键特点是在 MIRDcalc 中增加了 CT 器官剂量测定， 尽管普遍采用 PET-CT 组合以及 SPECT-CT 扫描仪在诊断放射学和诊断领域的不断普及 核医学。