ArticleEuropean radiology2023
Combined forced diuresis and late acquisition on [
Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Detection rate of [Frontiers in medicine · 2026Pooled it
- The Homunculus of unspecific bone uptakes associated with PSMA-targeted tracers: a systematic review-based definition.European journal of nuclear medicine and molecular imaging · 2024Pooled it
- Diagnostic Value of Routine Delayed Pelvic Imaging for Patients with Biochemical Recurrence of Prostate Cancer UndergoingJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Head-to-head comparison ofEJNMMI research · 2026Article
- PSMA PET in Lymph Node Staging of Prostate Cancer: From Diagnostic Accuracy to Clinical Decision-Making.Cancers · 2026Review
- Enhancing reader confidence through dual-time imaging and alternative reconstruction algorithms with [EJNMMI research · 2026Article
- Biphasic contrast-enhanced [EJNMMI research · 2025Article
- Impact of delayed pelvic imaging on the staging of biochemical recurrence in prostate cancer patients using [EJNMMI reports · 2025Article
- Composite Prediction Score to Interpret Bone Focal Uptake in Hormone-Sensitive Prostate Cancer Patients Imaged with [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Prostate-Specific Membrane Antigen Positron Emission Tomography Oncological Applications beyond Prostate Cancer in Comparison to Other Radiopharmaceuticals.Diagnostics (Basel, Switzerland) · 2024Review
- Diagnostic value of two-time point [Scientific reports · 2023Article
- The current status of prostate cancer treatment and PSMA theranostics.Therapeutic advances in medical oncology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesIncreased detection of prostate cancer (PCa) recurrences using [
methodsOne hundred prospectively recruited biochemical recurrent PCa patients were restaged with dual-phase [
resultsForced diuresis late-phase imaging increased the reader's confidence category for local and nodal restaging (both p < 0.0001), and the interobserver agreement in identifying nodal recurrences (from moderate to substantial, p < 0.01). However, it significantly increased diagnostic accuracy exclusively for local uptakes rated by low-experienced readers (from 76.5 to 84%, p = 0.05) and for nodal uptakes rated as uncertain at standard imaging (from 68.1 to 78.5%, p < 0.05). In this framework, SUVmax kinetics resulted in an independent predictor of PCa recurrence compared to standard metrics, potentially guiding the dual-phase PET/CT interpretation.
conclusionsThe present results do not support the systematic combination of forced diuresis and late-phase imaging in the clinical setting, but allow the identification of patients-, lesions-, and reader-based scenarios that might benefit from it. KEY POINTS: • Increased detection of prostate cancer recurrences has been reported by adding diuretics administration or an additional late abdominopelvic scan to the standard [
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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.