免疫治疗中高级别胶质瘤疾病监测的影像学技术进展

Timothy Y. Kim, D. Mathios, S. Srivastava, M. Lim
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引用次数: 0

摘要

一般来说,高级别胶质瘤预后不佳。然而,最近在疾病分类、手术治疗和辅助治疗方面的进展提高了该患者群体的总生存率。虽然大量的资源被用于改善高级别胶质瘤的治疗,但在对这些治疗方式的反应进行准确的非侵入性评估方面,技术发展几乎没有进步。新的治疗方式的出现,特别是越来越多的高级别胶质瘤的免疫治疗临床试验,需要开发新的方法来准确和及时地评估脑肿瘤的治疗反应。传统的MRI对免疫治疗反应的评估不足以指导治疗,导致大量的外科手术进行最终评估。在这篇综述中,我们概述了成像标准的演变,以及成像技术和计算分析的进步,以解决在免疫治疗高级别胶质瘤的背景下疾病监测的挑战。我们特别强调放射组学,这是图像分析的一个新领域,它通过算法评估大量成像特征以进行准确诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in Imaging Techniques for Disease Monitoring of High Grade Gliomas during Immunotherapy
In general, high grade gliomas have a dismal prognosis. However, recent advances in disease classification, surgical treatment, and adjuvant therapy have increased the overall survival of this patient population. While a significant number of resources is used to improve treatment for high grade gliomas, there are few advancements in technology development towards an accurate non-invasive assessment of response to these therapeutic modalities. The advent of new treatment modalities and especially the increasing number of immunotherapy clinical trials for high grade gliomas necessitate the development of new approaches for accurate and timely assessment of treatment response in brain tumors. Conventional MRI assessment of response to immunotherapy is inadequate to guide treatment leading to a high number of surgical procedures for definitive assessment. In this review, we are outlining the evolution of imaging criteria as well as the advancements in imaging technology and computational analysis to address the challenges of disease monitoring in the setting of immunotherapy for high grade gliomas. We give particular emphasis on radiomics, a new field on image analysis that algorithmically assesses a large number of imaging features for an accurate diagnosis.
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