ArticleScientific reports2017
Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Adiposity and risk of prostate cancer death: a prospective analysis in UK Biobank and meta-analysis of published studies.BMC medicine · 2022Pooled it
- mpMRI-based clinic-radiomics-deep learning model integrating lesion and PPAT for predicting csPCa in PI-RADS category 3 lesions: a multicenter study.International urology and nephrology · 2026Article
- SARIFA and Lipid Metabolic Reprogramming in Prostate Cancer: Fundamental Mechanisms, Tumor Microenvironment, and Novel Biomarker Prospects.Life (Basel, Switzerland) · 2026Review
- Obesity-linked genes may promote prostate cancer among Asian and Hispanic immigrants to North America.Frontiers in public health · 2026Review
- Applications and prospects of spatial transcriptomics in prostate cancer research: A narrative review.Current urology · 2025Article
- A novel composite index of PSA and periprostatic adipose tissue quantification for enhancing high-grade prostate cancer prediction.BMC urology · 2025Article
- MRI-measured periprostatic to subcutaneous adipose tissue thickness ratio as an independent risk factor in prostate cancer patients undergoing radical prostatectomy.Scientific reports · 2024Article
- A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning.Heliyon · 2024Article
- Measurements of peri-prostatic adipose tissue by MRI predict bone metastasis in patients with newly diagnosed prostate cancer.Frontiers in oncology · 2024Article
- Periprostatic Adipose Tissue: A New Perspective for Diagnosing and Treating Prostate Cancer.Journal of Cancer · 2024Review
- Obesity-Related Cross-Talk between Prostate Cancer and Peripheral Fat: Potential Role of Exosomes.Cancers · 2022Review
- Interplay between Prostate Cancer and Adipose Microenvironment: A Complex and Flexible Scenario.International journal of molecular sciences · 2022Review
- Peri-Prostatic Adipocyte-Released TGFβ Enhances Prostate Cancer Cell Motility by Upregulation of Connective Tissue Growth Factor.Biomedicines · 2021Article
- Fatty Acid Metabolism Reprogramming in Advanced Prostate Cancer.Metabolites · 2021Review
- Periprostatic adipose tissue promotes prostate cancer resistance to docetaxel by paracrine IGF-1 upregulation of TUBB2B beta-tubulin isoform.The Prostate · 2021Article
- Skeletal Muscle-Adipose Tissue-Tumor Axis: Molecular Mechanisms Linking Exercise Training in Prostate Cancer.International journal of molecular sciences · 2021Review
- Mechanistic Insights into the Link between Obesity and Prostate Cancer.International journal of molecular sciences · 2021Review
- The Association of Periprostatic Fat and Grade Group Progression in Men with Localized Prostate Cancer on Active Surveillance.The Journal of urology · 2021Observational
- Pre-treatment ratio of periprostatic to subcutaneous fat thickness on MRI is an independent survival predictor in hormone-naïve men with advanced prostate cancer.International journal of clinical oncology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Periprostatic and pelvic fat have been shown to influence prostate cancer behaviour through the secretion of chemokines and growth factors, acting in a paracrine mode. We have measured periprostatic fat volume (PFV) with normalisation to prostate gland volume on pelvic magnetic resonance imaging (MRI) and have correlated this with grade (Gleason score; GS) and pathological staging (pT) of prostate cancer (PCa) following radical prostatectomy (RP). PFV was determined using a segmentation technique on contiguous T
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