Kip E. Guja MD PhD , Kristen N. Ganjoo MD , Andrei Iagaru MD
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引用次数: 0
Abstract
Soft tissue sarcomas are a rare and heterogenous group of tumors that account for 2% of all cancer-related deaths. Molecular imaging with FDG PET can offer valuable metabolic information to help inform clinical management of soft tissue sarcomas that is unique and complementary to conventional diagnostic imaging techniques. FDG PET imaging often correlates with tumor grade, can help guide biopsy, and frequently detects additional sites of disease compared to conventional imaging in patients being considered for definitive or salvage therapy. Traditional size-based evaluation of treatment response is often inadequate in soft tissue sarcoma and changes in metabolic activity can add significant value to interim and end of treatment imaging for high-grade sarcomas. FDG PET can be used for detection of recurrence or malignant transformation and thus play a vital role in surveillance. This article reviews the evolving role of FDG PET in initial diagnosis, staging, treatment response assessment, and restaging. Further studies on the use of FDG PET in soft sarcoma are needed, particularly for rare histopathologic subtypes.
软组织肉瘤是一种罕见的异质性肿瘤,占所有癌症相关死亡病例的 2%。利用 FDG PET 进行分子成像可提供有价值的代谢信息,为软组织肉瘤的临床治疗提供依据,这是传统诊断成像技术的独特之处和补充。FDG PET 成像通常与肿瘤分级相关,有助于指导活检,与传统成像技术相比,还能经常发现考虑接受确定性治疗或挽救性治疗的患者的其他疾病部位。在软组织肉瘤中,传统的基于肿瘤大小的治疗反应评估往往不够充分,而代谢活动的变化可为高级别肉瘤的中期和治疗末期成像增加重要价值。FDG PET 可用于检测复发或恶性转化,因此在监测中发挥着重要作用。本文回顾了 FDG PET 在初始诊断、分期、治疗反应评估和再分期中不断发展的作用。需要进一步研究 FDG PET 在软肉瘤中的应用,尤其是对罕见组织病理学亚型的应用。
期刊介绍:
Seminars in Nuclear Medicine is the leading review journal in nuclear medicine. Each issue brings you expert reviews and commentary on a single topic as selected by the Editors. The journal contains extensive coverage of the field of nuclear medicine, including PET, SPECT, and other molecular imaging studies, and related imaging studies. Full-color illustrations are used throughout to highlight important findings. Seminars is included in PubMed/Medline, Thomson/ISI, and other major scientific indexes.