ArticleAnnals of biomedical engineering2025
Image-Guided Adaptive Cryotherapy for Prostate Cancer Treatment.
Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Artificial intelligence in prostate cancer: navigating the new frontier of precision uro-oncology.American journal of clinical and experimental urology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
purposeFocal cryoablation is an effective treatment for localized and recurrent prostate cancer, offering reduced risks of side effects. However, treatment success depends on physician experience, as intraprocedural adjustments are required due to needle deflection. To determine whether an image-guided adaptive treatment strategy could reduce the required years of experience, we developed Image-guided Adaptive Cryotherapy (ImAC). We hypothesize that ImAC can be successfully implemented in MRI-guided cryotherapy to optimize needle placement. To test this hypothesis, we conducted a retrospective study comparing the performance of an experienced physician to that of ImAC.
methodsImAC was designed to calculate the best subsequent needle location while accounting for needle deflection and iceball formation. After development, its performance was evaluated by simulating 21 needle insertions.
resultsWe found that ImAC achieved a higher median minimum ablation margin than the physician (5.0 vs 3.4 mm) while maintaining similar needle placement adjustments (± 7.5 mm).
conclusionThese results suggest that ImAC has the potential to optimize needle placement and may reduce the years of experience required for effective cryoablation.
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Registered trials
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