Department of Radiology, The University of Chicago, Chicago, Illinois, USA.
Department of Nuclear Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia; Faculty of Health and Medical Sciences, University of Western Australia Medical School, Australia.
Lung Cancer. 2019 Apr;130:108-114. doi: 10.1016/j.lungcan.2018.11.033. Epub 2018 Nov 28.
Mesothelioma patients rely on the information their clinical team obtains from medical imaging. Whether x-ray-based computed tomography (CT) or magnetic resonance imaging (MRI) based on local magnetic fields within a patient's tissues, different modalities generate images with uniquely different appearances and information content due to the physical differences of the image-acquisition process. Researchers are developing sophisticated ways to extract a greater amount of the information contained within these images. This paper summarizes the imaging-based research presented orally at the 2018 International Conference of the International Mesothelioma Interest Group (iMig) in Ottawa, Ontario, Canada, held May 2-5, 2018. Presented topics included advances in the imaging of preclinical mesothelioma models to inform clinical therapeutic strategies, optimization of the time delay between contrast administration and image acquisition for maximized enhancement of mesothelioma tumor on CT, an investigation of image-based criteria for clinical tumor and nodal staging of mesothelioma by contrast-enhanced CT, an investigation of methods for the extraction of mesothelioma tumor volume from MRI and the association of volume with patient survival, the use of deep learning for mesothelioma tumor segmentation in CT, and an evaluation of CT-based radiomics for the prognosis of mesothelioma patient survival.
间皮瘤患者依赖其临床团队从医学影像中获得的信息。无论是基于射线的计算机断层扫描 (CT) 还是基于患者组织内局部磁场的磁共振成像 (MRI),由于图像采集过程的物理差异,不同的模态会生成具有独特外观和信息内容的图像。研究人员正在开发从这些图像中提取更多信息的复杂方法。本文总结了在 2018 年 5 月 2 日至 5 日于加拿大安大略省渥太华举行的第 2018 届国际间皮瘤兴趣小组 (iMig) 国际会议上口头报告的基于成像的研究。报告的主题包括:为临床治疗策略提供信息的临床前间皮瘤模型成像进展、优化对比剂给药与 CT 图像采集之间的时间延迟以最大化增强间皮瘤肿瘤、基于对比增强 CT 的间皮瘤临床肿瘤和淋巴结分期的图像标准研究、从 MRI 中提取间皮瘤肿瘤体积的方法研究及其与患者生存的相关性、用于 CT 中间皮瘤肿瘤分割的深度学习、以及基于 CT 的放射组学对间皮瘤患者生存预后的评估。