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.

Rationale: Metastatic prostate cancer in the castration-resistant (mCRPC) setting remains challenging to treat. Prostate-specific membrane antigen (PSMA)-targeted alpha therapy (TAT) is emerging as a promising option. We aimed to systematically review the efficacy and safety of PSMA-TAT in patients with prostate cancer.

Adult-type diffuse gliomas are treated with a multimodality treatment approach that includes radiotherapy both in the primary setting, and in the case of progressive or recurrent disease. Radiation necrosis represents a major complication of radiotherapy. Recurrent disease and treatment-related changes are often indistinguishable using conventional imaging methods. The present systematic review aims at assessing the diagnostic role of PET imaging using different radiopharmaceuticals in differentiating radiation necrosis and disease relapse in irradiated adult-type diffuse gliomas. We conducted a comprehensive literature search using the PubMed/MEDLINE and EMBASE databases for original research studies of interest. In total, 436 articles were assessed for eligibility. Ten original papers, published between 2014 and 2022, were selected. Four articles focused on [¹⁸F]FDG, seven on amino acid tracers ([¹⁸F]FET n = 3 and [¹¹C]MET n = 4), one on [¹¹C]CHO, and one on [⁶⁸Ga]Ga-PSMA. Visual assessment, semi-quantitative methods, and radiomics were applied for image analysis. Furthermore, 2/10 papers were comparative studies investigating different radiopharmaceuticals. The present review, the first one on the topic in light of the new 2021 CNS WHO classification, highlighted the usefulness of PET imaging in distinguishing radiation necrosis and tumour recurrence, but revealed high heterogeneity among studies.

The capability of Large Language Models (LLMs) to support and facilitate research activities has sparked growing interest in their integration into scientific workflows. This paper aims to evaluate and compare against human researchers the performance of 6 different LLMs in conducting the various tasks necessary to produce a systematic literature review. The evaluation of the 6 LLMs was split into 3 tasks: literature search, article screening and selection (task 1); data extraction and analysis (task 2); final paper drafting (task 3). Their results were compared with a human-produced systematic review on the same topic, serving as reference standard. The evaluation was repeated on two rounds to evaluate between-version changes and improvements of LLMs over time. Out of the 18 scientific articles to be extracted from the literature for task 1, the best LLM managed to identify 13. Data extraction and analysis for task 2 was only partially accurate and cumbersome. The full papers generated by LLMs for task 3 were short and uninspiring, often not fully adhering to the standard PRISMA 2020 template for a systematic review. Currently, LLMs are not capable of conducting a scientific systematic review in the medical domain without prompt-engineering strategies. However, their capabilities are advancing rapidly, and, with an appropriate supervision they can provide valuable support throughout the review process.