ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2015
¹⁸F-DCFBC PET/CT for PSMA-Based Detection and Characterization of Primary Prostate Cancer.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 2 of them syntheses that pooled it.
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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
97 citing papers in PubMed, 2 syntheses or guidelines pooled it, 196 citations in OpenAlex.
- Head-to-head comparison of prostate-specific membrane antigen PET and multiparametric MRI in the diagnosis of pretreatment patients with prostate cancer: a meta-analysis.European radiology · 2024Pooled it
- Pooled it
- Detection of prostate cancer withWorld journal of urology · 2021Trial
- 18F-DCFBC Prostate-Specific Membrane Antigen-Targeted PET/CT Imaging in Localized Prostate Cancer: Correlation With Multiparametric MRI and Histopathology.Clinical nuclear medicine · 2017Trial
- PSMA-Based [(18)F]DCFPyL PET/CT Is Superior to Conventional Imaging for Lesion Detection in Patients with Metastatic Prostate Cancer.Molecular imaging and biology · 2016Trial
- Comparison of Prostate-Specific Membrane Antigen-Based 18F-DCFBC PET/CT to Conventional Imaging Modalities for Detection of Hormone-Naïve and Castration-Resistant Metastatic Prostate Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2016Trial
- Article
- Current Status of PSMA-Targeted Agents Based on Small Molecules for Prostate Cancer in Preclinical Studies.Nuclear medicine and molecular imaging · 2026Review
- Focusing on Prostate-Specific Membrane Antigen in Precision Diagnosis and Treatment of Prostate Cancer.Biomedicines · 2026Review
- Comparative Analysis ofAdvances in radiation oncology · 2025Article
- Revolutionizing Prostate Cancer Detection: The Role of Approved PSMA-PET Imaging Agents.Pharmaceuticals (Basel, Switzerland) · 2025Review
- A comparative study ofBMC medical imaging · 2024Article
- SyntheticRSC medicinal chemistry · 2024Review
- DNA-encoded chemical libraries enable the discovery of potent PSMA-ligands with substantially reduced affinity towards the GCPIII anti-target.Chemical science · 2024Article
- Medicinal (Radio) Chemistry: Building Radiopharmaceuticals for the Future.Current medicinal chemistry · 2024Review
- Article
- Improved [Quantitative imaging in medicine and surgery · 2023Article
- Article
- The future of PSMA PET and WB MRI as next-generation imaging tools in prostate cancer.Nature reviews. Urology · 2022Review
- Gross tumor volume delineation in primary prostate cancer onCancer imaging : the official publication of the International Cancer Imaging Society · 2022Article
37 more citing papers are in PubMed but not listed here.
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 1 institution in 1 country.
Funding
Abstract
unlabelledWe previously demonstrated the ability to detect metastatic prostate cancer using N-[N-[(S)-1,3-dicarboxypropyl]carbamoyl]-4-(18)F-fluorobenzyl-L-cysteine ((18)F-DCFBC), a low-molecular-weight radiotracer that targets the prostate-specific membrane antigen (PSMA). PSMA has been shown to be associated with higher Gleason grade and more aggressive disease. An imaging biomarker able to detect clinically significant high-grade primary prostate cancer reliably would address an unmet clinical need by allowing for risk-adapted patient management.
methodsWe enrolled 13 patients with primary prostate cancer who were imaged with (18)F-DCFBC PET before scheduled prostatectomy, with 12 of these patients also undergoing pelvic prostate MR imaging. Prostate (18)F-DCFBC PET was correlated with MR imaging and histologic and immunohistochemical analysis on a prostate-segment (12 regions) and dominant-lesion basis. There were no incidental extraprostatic findings on PET suggestive of metastatic disease.
resultsMR imaging was more sensitive than (18)F-DCFBC PET for detection of primary prostate cancer on a per-segment (sensitivities of up to 0.17 and 0.39 for PET and MR imaging, respectively) and per-dominant-lesion analysis (sensitivities of 0.46 and 0.92 for PET and MR imaging, respectively). However, (18)F-DCFBC PET was more specific than MR imaging by per-segment analysis (specificities of 0.96 and 0.89 for PET and MR imaging for corresponding sensitivity, respectively) and specific for detection of high-grade lesions (Gleason 8 and 9) greater than 1.0 mL in size (4/4 of these patients positive by PET). (18)F-DCFBC uptake in tumors was positively correlated with Gleason score (ρ = 0.64; PSMA expression, ρ = 0.47; and prostate-specific antigen, ρ = 0.52). There was significantly lower (18)F-DCFBC uptake in benign prostatic hypertrophy than primary tumors (median maximum standardized uptake value, 2.2 vs. 3.5; P = 0.004).
conclusionAlthough the sensitivity of (18)F-DCFBC for primary prostate cancer was less than MR imaging, (18)F-DCFBC PET was able to detect the more clinically significant high-grade and larger-volume tumors (Gleason score 8 and 9) with higher specificity than MR imaging. In particular, there was relatively low (18)F-DCFBC PET uptake in benign prostatic hypertrophy lesions, compared with cancer in the prostate, which may allow for more specific detection of primary prostate cancer by (18)F-DCFBC PET. This study demonstrates the utility of PSMA-based PET, which may be used in conjunction with MR imaging to identify clinically significant prostate cancer.
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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.