SynthesisMedical principles and practice : international journal of the Kuwait University, Health Science Centre2020
Meta-Analysis of the Diagnostic Accuracy of Primary Bone and Soft Tissue Sarcomas by 18F-FDG-PET.
Synthesis in Medical principles and practice : international journal of the Kuwait University, Health Science Centre, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Diagnostic Performance of Artificial Intelligence in Detection of Primary Malignant Bone Tumors: a Meta-Analysis.Journal of imaging informatics in medicine · 2024Pooled it
- Quantitative detection of macrophage activation in osteosarcoma comparingScientific reports · 2026Article
- Integrated diagnostic evaluation of multiple malignant neoplasms viaOncology letters · 2026Article
- Advances inWorld journal of radiology · 2025Review
- Imaging of pediatric bone tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper.Pediatric blood & cancer · 2023Article
- Primary renal myxoid liposarcoma with pancreatic invasion onFrontiers in medicine · 2023Article
- Imaging Hallmarks of Sarcoma Progression Via X-ray Computed Tomography: Beholding the Flower of Evil.Cancers · 2022Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe goal of this meta-analysis was to assess the use of FDG-PET in the diagnosis of primary bone and soft tissue sarcomas. SUBJECTS AND
methodsSeveral databases, including PubMed, Embase, Cochrane Library, and Web of Science, were searched. In addition to sensitivity and specificity, the diagnostic accuracy region for detecting and grading sarcomas were pooled using bivariate and hierarchical summary receiver-operating characteristic (HSROC) models. Subgroup analysis included pooling soft tissue and bone sarcomas separately, and sensitivity analysis included high-quality studies. The quality of eligible studies was assessed using QUADAS-2.
resultsOf the 1,258 papers screened, 21 studies satisfied the inclusion criteria. The pooled sensitivity and specificity of FDG-PET combined with CT for the detection of sarcomas were 89.2 and 76.3%, respectively. These diagnostic accuracy measures were higher when combined with CT than those of PDG-PET alone. Diagnostic accuracy for bone and soft tissue lesions were comparable but slightly better for soft tissue tumors. Pooling only the high-quality studies with low risk of bias yielded a sensitivity of 88.5% and specificity reduced to 65.6%. There was no evidence for publication bias, but significant heterogeneity among the studies was apparent. This study also showed that FDG-PET can efficiently differentiate between benign and malignant tumors, with a mean standard uptake value of maximally 2.52 units in benign and 6.81 units in malignant tumors (89.2% sensitivity and 75.1% specificity).
conclusionOur findings indicate FDG-PET can efficiently differentiate between benign and malignant bone and soft tissue tumors. We also found that FDG-PET improves accuracy in diagnosing soft tissue sarcomas when combined with CT.
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