Personalised PET imaging in oncology: an umbrella review of meta-analyses to guide the appropriate radiopharmaceutical choice and indication

IF 8.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Margarita Kirienko, Fabrizia Gelardi, Francesco Fiz, Matteo Bauckneht, Gaia Ninatti, Cristiano Pini, Alberto Briganti, Massimo Falconi, Wim J. G. Oyen, Winette T. A. van der Graaf, Martina Sollini
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引用次数: 0

Abstract

Purpose

For several years, oncological positron emission tomography (PET) has developed beyond 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG). This umbrella review of meta-analyses aims to provide up-to-date, comprehensive, high-level evidence to support appropriate referral for a specific radiopharmaceutical PET/computed tomography (CT) or PET/magnetic resonance (MR) in the diagnosis and staging of solid cancers other than brain malignancies.

Methods

We performed a systematic literature search on the PubMed/MEDLINE and EMBASE databases for meta-analyses assessing the accuracy of PET/CT and/or PET/MRI with [18F]FDG, somatostatin- receptor-targeting 68Ga-DOTA-peptides, 18F-labelled dihydroxyphenylalanine ([18F]DOPA), prostate-specific membrane antigen (PSMA)-targeted radioligands, and fibroblast activation protein inhibitors (FAPI) in the diagnosis/disease characterisation and staging of solid cancers other than brain tumours.

Results

The literature search yielded 449 scientific articles. After screening titles and abstracts and applying inclusion and exclusion criteria, we selected 173 meta-analyses to assess the strength of evidence. One article was selected from references. Sixty-four meta-analyses were finally considered. The current evidence corroborates the role of [18F]FDG as the main player in molecular imaging; PSMA tracers are useful in staging and re-staging prostate cancer; somatostatin-targeting peptides (e.g. [68Ga]Ga- DOTA-TOC and -TATE) or [18F]DOPA are valuable in neuroendocrine tumours (NETs). FAPI has emerged in gastric cancer assessment. According to search and selection criteria, no satisfactory meta-analysis was selected for the diagnosis/detection of oesophageal cancer, the diagnosis/detection and N staging of small cell lung cancer and hepatic cell carcinoma, the diagnosis/detection and M staging of melanoma and Merkel cell carcinoma, cervical, vulvar and penis cancers, the N and M staging of lung and gastroenteropancreatic NET, testicular cancer, and chondrosarcoma, and the M staging of differentiated thyroid, bladder and anal cancers.

Conclusion

The comprehensive high-level evidence synthesised in the present umbrella review serves as a guiding compass for clinicians and imagers, aiding them in navigating the increasingly intricate seascape of PET examinations.

Abstract Image

肿瘤学中的个性化 PET 成像:指导适当放射性药物选择和适应症的荟萃分析综述
目的 几年来,肿瘤正电子发射断层扫描(PET)的发展已超越了 2-脱氧-2-[18F]氟-D-葡萄糖([18F]FDG)。本荟萃分析综述旨在提供最新、全面、高水平的证据,以支持在脑恶性肿瘤以外的实体瘤诊断和分期中适当转诊特定放射性药物 PET/计算机断层扫描(CT)或 PET/磁共振(MR)。方法我们在 PubMed/MEDLINE 和 EMBASE 数据库中进行了一项系统性文献检索,以寻找评估 PET/CT 和/或 PET/MRI 与[18F]FDG、体生长抑素受体靶向 68Ga-DOTA 肽的准确性的荟萃分析、18F标记的二羟基苯丙氨酸([18F]DOPA)、前列腺特异性膜抗原(PSMA)靶向放射性配体和成纤维细胞活化蛋白抑制剂(FAPI)在脑瘤以外的实体瘤诊断/疾病特征描述和分期中的准确性。结果文献检索共获得 449 篇科学文章。在筛选标题和摘要并应用纳入和排除标准后,我们选择了 173 篇荟萃分析文章来评估证据的强度。从参考文献中筛选出一篇文章。最终考虑了 64 项荟萃分析。目前的证据证实了[18F]FDG在分子成像中的主要作用;PSMA示踪剂可用于前列腺癌的分期和再分期;体生长激素靶向肽(如[68Ga]Ga- DOTA-TOC和-TATE)或[18F]DOPA对神经内分泌肿瘤(NET)很有价值。FAPI 已出现在胃癌评估中。根据搜索和筛选标准,没有筛选出关于食道癌诊断/检测、小细胞肺癌和肝细胞癌诊断/检测和 N 分期的令人满意的荟萃分析、黑色素瘤和梅克尔细胞癌、宫颈癌、外阴癌和阴茎癌的诊断/检测和M分期,肺癌和胃肠胰NET、睾丸癌和软骨肉瘤的N和M分期,以及分化型甲状腺癌、膀胱癌和肛门癌的M分期。结论本综述中综合的高水平证据可作为临床医生和成像人员的指南针,帮助他们在 PET 检查日益错综复杂的海景中航行。
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来源期刊
CiteScore
15.60
自引率
9.90%
发文量
392
审稿时长
3 months
期刊介绍: The European Journal of Nuclear Medicine and Molecular Imaging serves as a platform for the exchange of clinical and scientific information within nuclear medicine and related professions. It welcomes international submissions from professionals involved in the functional, metabolic, and molecular investigation of diseases. The journal's coverage spans physics, dosimetry, radiation biology, radiochemistry, and pharmacy, providing high-quality peer review by experts in the field. Known for highly cited and downloaded articles, it ensures global visibility for research work and is part of the EJNMMI journal family.
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