ArticleAnnals of surgical oncology2025
Integrating Magnetic Resonance Chemical Shift Imaging for Localized Prostate Cancer Risk Stratification on the Basis of the Impact of Periprostatic Brown Adipocytes Within Tumor Microenvironment.
Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- Development and internal validation of a noninvasive predictive model based on iron and fat measurements for pathologic risk stratification in prostate cancer.Translational andrology and urology · 2026Article
- ASO Author Reflections: Imaging the Metabolic Signature of Periprostatic Fat: Advancing Risk Stratification in Prostate Cancer.Annals of surgical oncology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe sought to characterize periprostatic adipose tissue (PPAT) with magnetic resonance imaging (MRI) featuring water-to-oil ratio (R PATIENTS AND
methodsBetween November 2021 and September 2023, 21 localized patients with prostate cancer were studied, categorized as low (n = 4), intermediate (n = 4), and high risk (n = 13). We utilized MRI to analyze the water-only signal and fat-only signal. R
resultsWe found significantly higher periprostatic adipose tissue R
conclusionsIn the study, the chemical shift image of MRI in 21 localized patients with prostate cancer revealed higher periprostatic adipose tissue water-to-oil ratio among patients with high-risk prostate cancer. Adipokines within the tumor-microenvironment attribute to the cancer aggressiveness, and targeting the fat fraction signal in MRI could improve the current risk stratification strategy.
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