医学
正电子发射断层摄影术
肺癌
表皮生长因子受体
梅德林
科克伦图书馆
肿瘤科
系统回顾
医学物理学
内科学
癌症
荟萃分析
核医学
政治学
法学
作者
Marko Magdi Abdou Sidrak,Maria Silvia De Feo,Viviana Frantellizzi,Andrea Marongiu,S Caponnetto,Luca Filippi,Susanna Nuvoli,Angela Spanu,Orazio Schillaci,Giuseppe De Vincentis
出处
期刊:Cancer Biotherapy and Radiopharmaceuticals
[Mary Ann Liebert]
日期:2023-05-01
卷期号:38 (4): 232-245
被引量:1
标识
DOI:10.1089/cbr.2022.0049
摘要
Introduction: Lung cancer (LC) is a leading cause of death among men and women, with non-small cell LC (NSCLC) accounting for a substantial portion of the histopathological spectrum and epidermal growth factor receptor (EGFR) mutations being correlated with its manifestation and evolution. Positron emission tomography (PET)/computed tomography has been the most widely used instrument to assess and monitor LC in a noninvasive way, including EGFR-mutated NSCLC, and its course during therapy, indicating to the referring physician the response to ongoing treatment or the lack of it. This systematic review aims to evaluate the feasibility and safety of radiolabeled EGFR tyrosine kinase inhibitors (TKis) in PET in clinical practice. Materials and Methods: From 1999 to April 2022 a Medline search was conducted on four different databases such as PubMed, Cochrane Library, Scopus, and Web of Sciences. Clinical studies were assessed by Quality Assessment of Diagnostic accuracy Studies-2 (QUADAS-2) and preclinical studies were also reported in this review. Results: Nine clinical studies were QUADAS-2 assessed and risk-of-bias assessment, and it turned out acceptable as two out of eight studies had low risk of bias in all four domains for risk-of-bias assessment, and the other four studies had three low-risk domains. The overall assessment for applicability risks was low. Conclusions: Radiolabeled EGFR-TKis in PET are a valid tool in identifying patients who may benefit from TKi therapy and who may not as a means to start an effective treatment. Although the number of clinical studies conducted so far is meager, these new PET tracers are already proving to be very useful in clinical settings as patient prognosis can be better assessed.
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