Trial reportAnnals of nuclear medicine2015
Imaging of metastatic clear cell renal cell carcinoma with PSMA-targeted ¹⁸F-DCFPyL PET/CT.
Trial report in Annals of nuclear medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 5 of them syntheses 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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
91 citing papers in PubMed, 5 syntheses or guidelines pooled it, 171 citations in OpenAlex.
- PSMA-targeted PET imaging for brain metastases from non-prostatic solid tumors: a systematic review.Frontiers in oncology · 2025Pooled it
- Utility of PSMA PET/CT in Staging and Restaging of Renal Cell Carcinoma: A Systematic Review and Metaanalysis.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Pooled it
- Role of PSMA-targeted PET-CT in renal cell carcinoma: a systematic review and meta-analysis.Annals of nuclear medicine · 2024Pooled it
- Prostate-Specific Membrane Antigen as Target for Neuroimaging of Central Nervous System Tumors.Molecular imaging · 2022Pooled it
- PSMA-Targeting Positron Emission Agents for Imaging Solid Tumors Other Than Non-Prostate Carcinoma: A Systematic Review.International journal of molecular sciences · 2019Pooled it
- Safety, Biodistribution, and Radiation Dosimetry ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021Trial
- Prospective Evaluation of PSMA-TargetedJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020Trial
- Improved identification of patients with oligometastatic clear cell renal cell carcinoma with PSMA-targetedAnnals of nuclear medicine · 2019Trial
- Inconsistent Detection of Sites of Metastatic Non-Clear Cell Renal Cell Carcinoma with PSMA-Targeted [Molecular imaging and biology · 2019Trial
- Molecular imaging of renal cell carcinomas: ready for prime time.Nature reviews. Urology · 2025Review
- Metastatic Merkel Cell Carcinoma Incidentally Detected on PSMA PET/CT in a Patient With Metastatic Prostate Cancer.Case reports in radiology · 2025Article
- PSMA PET/CT Incidental Detection of Tumor Thrombus From Unsuspected Renal Cell Carcinoma and Comparison with FDG PET/CT.Case reports in radiology · 2025Article
- Theranostics in Renal Cell Carcinoma-A Step Towards New Opportunities or a Dead End-A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Gastrin-releasing peptide receptor (GRPR) as a novel biomarker and therapeutic target in prostate cancer.Annals of medicine · 2024Review
- Cinematic rendering ofBJUI compass · 2024Article
- SABR for oligometastatic renal cell carcinoma.Clinical and translational radiation oncology · 2024Article
- Detection of Testicular Metastasis from Renal Cell Carcinoma on PSMA-PET Scan.Journal of kidney cancer and VHL · 2024Article
- Performance of PSMA-targeted radiotheranostics in an experimental model of renal cell carcinoma.Frontiers in oncology · 2024Article
- Distribution of prostate specific membrane antigen (PSMA) on PET-MRI in patients with and without ovarian cancer.Abdominal radiology (New York) · 2023Article
- Article
31 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveMolecular imaging with positron emission tomography (PET) provides a powerful means of identifying and characterizing cancerous processes, as well as providing a quantitative framework within which response to therapy can be ascertained. Unfortunately, the most commonly used PET radiotracer, ¹⁸F-fluorodeoxyglucose (FDG), has not demonstrated a definitive role in determining response to therapy in metastatic renal cell carcinoma (RCC). As a result, new radiotracers able to reliably image RCC could be of tremendous value for this purpose.
methodsFive patients with known metastatic RCC were imaged with the low-molecular weight radiotracer ¹⁸F-DCFPyL, an inhibitor of the prostate-specific membrane antigen at 60 min post injection. ¹⁸F-DCFPyL PET/CT and conventional images (either contrast-enhanced computed tomography or magnetic resonance imaging) were centrally reviewed for suspected sites of disease.
resultsIn all five patients imaged, sites of putative metastatic disease were readily identifiable by abnormal ¹⁸F-DCFPyL uptake, with overall more lesions detected than on conventional imaging. These PET-detected sites included lymph nodes, pancreatic parenchymal lesions, lung parenchymal lesions, a brain parenchymal lesion, and other soft tissue sites. ¹⁸F-DCFPyL uptake ranged from subtle to intense with maximum standardized uptake values (SUVmax) for the identified lesions of 1.6-19.3. Based upon this small patient series, limited pathology and imaging follow-up of these patients suggests a higher sensitivity for ¹⁸F-DCFPyL compared to conventional imaging in the detection of metastatic RCC (94.7 versus 78.9%).
conclusionsPSMA expression in the tumor neovasculature of RCC has been previously established and is believed to provide the basis for the imaging findings presented here. PSMA-based PET/CT with radiotracers such as ¹⁸F-DCFPyL may allow more accurate staging of patients with RCC and conceivably the ability to predict and follow therapy in patients treated with agents targeting the neovasculature.
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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.