肝胆胰恶性肿瘤放射组学研究现状

Mahip Grewal, Taha Ahmed, Ammar Asrar Javed
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引用次数: 0

摘要

肝胆胰(HPB)癌的发病率不断上升,但其长期存活率仍然很低。肝胆胰癌的总体预后不佳反映了大多数患者在确诊时已处于晚期。这些疾病通常无症状,而且缺乏筛查方法,因此诊断较晚。此外,标准成像模式无法提供有关特定肿瘤特征的准确而详细的信息,而这些信息可以更好地为手术规划和全身治疗排序提供依据。因此,精确的治疗计划必须推迟到切除时进行组织病理学检查。鉴于目前 HPB 癌症治疗中存在的不足,许多非侵入性生物标志物的研究正在进行中,包括循环肿瘤细胞和 DNA、蛋白质组学、免疫组学和放射组学。放射组学包括定量成像特征的提取和分析。除了总结放射组学的总体框架外,本综述还综合了放射组学在人类乳头状瘤癌症中的应用现状,概述了放射组学在管理的各个方面所起的作用、目前的局限性以及未来在临床整合中的应用。目前的文献强调了放射组学在人类乳头瘤病毒癌症的早期检测、肿瘤特征描述、治疗选择和预后判断方面的作用。由于放射组学文献大多是单中心的小型研究,因此在放射组学工作流程的各个步骤(如分割或在扫描中划定感兴趣区)方面存在相当大的差异。尽管如此,放射组学质量评分(RQS)的引入表明,在放射组学这一年轻的领域,向更高的标准化和可重复性迈出了一步。总之,在人工智能算法不断改进的背景下,放射组学代表了一种前景广阔的生物标志物途径,可促进对人乳头瘤病毒癌症的强化和定制化管理,并有可能改善患者的长期预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current state of radiomics in hepatobiliary and pancreatic malignancies
Rising in incidence, hepatobiliary and pancreatic (HPB) cancers continue to exhibit dismal long-term survival. The overall poor prognosis of HPB cancers is reflective of the advanced stage at which most patients are diagnosed. Late diagnosis is driven by the often-asymptomatic nature of these diseases, as well as a dearth of screening modalities. Additionally, standard imaging modalities fall short of providing accurate and detailed information regarding specific tumor characteristics, which can better inform surgical planning and sequencing of systemic therapy. Therefore, precise therapeutic planning must be delayed until histopathological examination is performed at the time of resection. Given the current shortcomings in the management of HPB cancers, investigations of numerous noninvasive biomarkers, including circulating tumor cells and DNA, proteomics, immunolomics, and radiomics, are underway. Radiomics encompasses the extraction and analysis of quantitative imaging features. Along with summarizing the general framework of radiomics, this review synthesizes the state of radiomics in HPB cancers, outlining its role in various aspects of management, present limitations, and future applications for clinical integration. Current literature underscores the utility of radiomics in early detection, tumor characterization, therapeutic selection, and prognostication for HPB cancers. Seeing as single-center, small studies constitute the majority of radiomics literature, there is considerable heterogeneity with respect to steps of the radiomics workflow such as segmentation, or delineation of the region of interest on a scan. Nonetheless, the introduction of the radiomics quality score (RQS) demonstrates a step towards greater standardization and reproducibility in the young field of radiomics. Altogether, in the setting of continually improving artificial intelligence algorithms, radiomics represents a promising biomarker avenue for promoting enhanced and tailored management of HPB cancers, with the potential to improve long-term outcomes for patients.
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