ArticleDiagnostics (Basel, Switzerland)2020
Can Computed Tomography Perfusion Predict Treatment Response After Prostate Artery Embolization: A Feasibility Study.
Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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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Who cites it
3 citing papers in PubMed.
- Current considerations in prostate artery embolisation.CVIR endovascular · 2026Article
- Personalized peripheral vascular interventional embolization for tumor: tailoring treatment to improve outcomes.Frontiers in medicine · 2025Review
- New Trends in Vascular Imaging.Diagnostics (Basel, Switzerland) · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
Prostate artery embolization (PAE) is an emerging therapy for benign prostatic hyperplasia (BPH). Optimal patient selection is an important step when introducing new treatments and several characteristics associated with a good clinical outcome has previously been proposed. However, no prognostic tool is yet available for PAE. Computed tomography perfusion is an imaging technique that provides hemodynamic parameters making it possible to estimate the prostatic blood flow (PBF). This study investigated the relationship between PBF and the response to PAE. A post hoc analysis including prostate-specific antigen (PSA) measurements before and 24-h after embolization from two prospective studies on sixteen patients undergoing PAE with BPH or prostate cancer were performed. The primary outcome was the correlation between baseline PBF and the change in PSA as a surrogate measure of treatment response. Prostate volume strongly correlated with treatment response and the response was greater with incremental amounts of injected embolic material. PBF was not associated with elevation in PSA and added no information that could guide patient selection.
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