Optimizing lung cancer diagnostic and staging pathways through the innovative use of thoracic imaging

通过胸部影像的创新使用优化肺癌诊断和分期途径

• 批准号: nhmrc : GNT1130985
• 负责人: Dr Rajesh Thomas
• 金额: $ 18.94万
• 依托单位国家: 澳大利亚
• 项目类别: Early Career Fellowships
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 无数据
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/optimizing-lung-cancer-thoracic-imaging/1347825
• 关键词: Optimizing; lung; cancer; diagnostic; staging

This research aims to simplify the initial work-up for lung cancer diagnosis. Currently most patients undergo complex investigations and multiple biopsies. Common imaging technology e.g. ultrasound, PET and CT scans may help choose the best and least invasive biopsy procedure. My research will explore this through three complementary studies. If positive, >10000 Australians with lung cancer will benefit each year, and the majority of them will only have to undergo one biopsy procedure.

本研究旨在简化肺癌诊断的初始检查。目前，大多数患者接受复杂的检查和多次活检。常见的成像技术，如超声、PET和CT扫描，可以帮助选择最好的、侵入性最小的活检程序。我的研究将通过三个互补的研究来探讨这个问题。如果检测呈阳性，每年将有1万名澳大利亚肺癌患者受益，其中大多数人只需要进行一次活组织检查。