SynthesisBMC cancer2022
Diagnostic performance of MRI, SPECT, and PET in detecting renal cell carcinoma: a systematic review and meta-analysis.
Synthesis in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 18 citations in OpenAlex.
- Diagnostic Role and Clinical Impact of Zr-Girentuximab PET-CT for the Diagnosis and Treatment of Clear-Cell Renal Cell Carcinoma.Diagnostics (Basel, Switzerland) · 2026Review
- Rare renal metastasis: Oligometastatic non-small cell lung cancer diagnosed with ultrasound guided renal biopsy.Radiology case reports · 2026Article
- Construction and validation of deep learning-based pathomics signature model for predicting postoperative recurrence of patients with clear cell renal cell carcinoma.American journal of cancer research · 2026Article
- Tertiary Lymphoid Structures Across Organs: Context, Composition, and Clinical Levers.Immunological reviews · 2025Review
- The pathogenesis and therapeutic implications of metabolic reprogramming in renal cell carcinoma.Cell death discovery · 2025Review
- Rare presentation of intraparenchymal renal artery aneurysm disguised as renal cell carcinoma: a case report and literature review.American journal of nuclear medicine and molecular imaging · 2025Article
- Incidence and survival patterns of clear cell renal cell carcinoma from 2000 to 2017: A SEER Database Analysis.Journal of Cancer · 2025Article
- Theranostics in Renal Cell Carcinoma-A Step Towards New Opportunities or a Dead End-A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Personalised PET imaging in oncology: an umbrella review of meta-analyses to guide the appropriate radiopharmaceutical choice and indication.European journal of nuclear medicine and molecular imaging · 2024Review
- Renal Cell Carcinoma: A Review.JAMA · 2024Review
- Immune analysis of urine and plasma samples from patients with clear cell renal cell carcinoma.Oncology letters · 2024Article
- Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRenal cell carcinoma (RCC) is one of the most common malignancies worldwide. Noninvasive imaging techniques, such as magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT), and positron emission tomography (PET), have been involved in increasing evolution to detect RCC. This meta-analysis aims to compare to compare the performance of MRI, SPECT, and PET in the detection of RCC in humans, and to provide evidence for decision-making in terms of further research and clinical settings.
methodsElectronic databases including PubMed, Web of Science, Embase, and Cochrane Library were systemically searched. The keywords such as "magnetic resonance imaging", "MRI", "single-photon emission computed tomography", "SPECT", "positron emission tomography", "PET", "renal cell carcinoma" were used for the search. Studies concerning MRI, SPECT, and PET for the detection of RCC were included. Pooled sensitivity, specificity, and the area under the summary receiver operating characteristic (SROC) curve (AUC), etc. were calculated.
resultsA total of 44 articles were finally detected for inclusion in this study. The pooled sensitivities of MRI,
conclusionOur study manifests that MRI and PET/CT present better diagnostic value for the detection of RCC in comparison with PET. MRI is superior in the diagnosis of primary RCC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.