ArticleJournal of applied clinical medical physics2026
Developing an automatic decision-assistance tool to choose proton/photon radiotherapy for patients with prostate cancer.
Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Developing an automatic decision-assistance tool to choose proton/photon radiotherapy for patients with prostate cancer.Journal of applied clinical medical physics · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
purposeIt is important to guide staff in choosing appropriately between photon and proton radiotherapy. This study develops an automatic decision method to select the most clinically beneficial radiotherapy technique (proton or photon) for patients with prostate cancer. An automatic decision method was developed to help staff in choosing appropriately between photon and proton radiotherapy for patients with prostate cancer. MATERIALS AND
methodsForty-eight patients with prostate cancer were enrolled. First, photon and proton dose prediction models (M
resultsThe deep learning (DL) model showed a mean absolute error (MAE) of 4.60 ± 1.80 for the rectum wall in the photon group and 3.64 ± 1.27 in the proton group. There was no statistically significant difference in V
conclusionThe proposed automatic decision method matches dose distributions, accurately calculates NTCPs, and supports precise radiotherapy technique selection, enhancing the clinical efficiency.
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