A comprehensive computational framework for facilitating the radiological and surgical management of breast cancer

促进乳腺癌放射学和手术治疗的综合计算框架

• 批准号: RGPIN-2017-05025
• 负责人: Michailovich, Oleg
• 金额: $ 1.75万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637002
• 关键词: comprehensive; computational; framework; facilitating; radiological

Diagnosis and treatment have always been the two defining pillars of medicine, with the fidelity of the former being essential to the success of the latter. In particular, in cancer research, diagnosing the disease at its early stages is often associated with better prognosis and prolonged survival. For this reason, considerable efforts have been extended over the last few decades to develop accurate means of early diagnosis of oncological disorders. Among such methods and tools, medical imaging has evolved into a key component of modern health care upon which diagnosis of solid cancers is currently based. That being the case, the main focus of the present research program is to develop advanced, problem-tailored methods of medical image processing that enable clinicians to manage oncological disorders in a more effective way. The fundamental idea of the program stems from the fact that, from a clinical perspective, diagnosis and treatment of solid cancers are two intimately interwoven processes, which involve mutual decision making supported by the same objective information, such as that provided by medical imaging. Consequently, instead of devising separate solutions catering to the needs of either radiology or therapeutics, this program aims at developing a joint computational and visualization platform, which can be shared by both sides to facilitate their interaction towards improved health outcomes.

诊断和治疗一直是医学的两大支柱，前者的忠诚度对于后者的成功至关重要。特别是在癌症研究中，在早期诊断疾病通常与更好的预后和延长生存期有关。出于这个原因，在过去的几十年中，已经做出了相当大的努力来开发肿瘤疾病早期诊断的准确方法。在这些方法和工具中，医学成像已经发展成为现代医疗保健的关键组成部分，目前固体癌症的诊断基于该组成部分。在这种情况下，本研究计划的主要重点是开发先进的，针对问题的医学图像处理方法，使临床医生能够以更有效的方式管理肿瘤疾病。该计划的基本思想源于这样一个事实，即从临床角度来看，固体癌症的诊断和治疗是两个密切交织的过程，涉及由相同的客观信息支持的相互决策，例如医学成像提供的信息。因此，该计划旨在开发一个联合计算和可视化平台，而不是设计单独的解决方案来满足放射学或治疗学的需求，该平台可以由双方共享，以促进他们的互动，从而改善健康结果。