References

Cancer statistics, 2022

10.3322/caac.21708 · 2022 · External reference

Bone metastasis: mechanisms and therapeutic opportunities

10.1038/nrendo.2010.227 · 2011 · External reference

Impact of the site of metastases on survival in patients with metastatic prostate cancer

10.1016/j.eururo.2014.07.020 · 2015 · External reference

Management of skeletal-related events in patients with advanced prostate cancer and bone metastases: incorporating new agents into clinical practice

10.5489/cuaj.12149 · 2012 · External reference

Prevention and early detection of prostate cancer

10.1016/s1470-2045(14)70211-6 · 2014 · External reference

Prostate volumes derived from MRI and volume-adjusted serum prostate-specific antigen: correlation with Gleason score of prostate cancer

10.2214/ajr.13.10591 · 2013 · External reference

Prostate-specific membrane antigen PET-CT in patients with high-risk prostate cancer before curative-intent surgery or radiotherapy (proPSMA): a prospective, randomised, multicentre study

10.1016/s0140-6736(20)30314-7 · 2020 · External reference

Multiparametric MRI in prostate cancer management

10.1038/nrclinonc.2014.69 · 2014 · External reference

Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model

10.21037/qims-22-115 · 2022 · External reference

A cascaded deep learning-based artificial intelligence algorithm for automated lesion detection and classification on biparametric prostate magnetic resonance imaging

10.1016/j.acra.2021.08.019 · 2022 · External reference

Interactive explainable deep learning model informs prostate cancer diagnosis at MRI

10.1148/radiol.222276 · 2023 · External reference

High-throughput precision MRI assessment with integrated stack-ensemble deep learning can enhance the preoperative prediction of prostate cancer Gleason grade

10.1038/s41416-022-02134-5 · 2023 · External reference

Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models

10.1007/s00330-024-10699-3 · 2024 · External reference

Value of machine learning-based transrectal multimodal ultrasound combined with PSA-related indicators in the diagnosis of clinically significant prostate cancer

10.3389/fendo.2023.1137322 · 2023 · External reference

Multimodal AI combining clinical and imaging inputs improves prostate cancer detection

10.1097/rli.0000000000001102 · 2024 · External reference

MRI-based texture analysis of the primary tumor for pre-treatment prediction of bone metastases in prostate cancer

10.1016/j.mri.2019.03.007 · 2019 · External reference

A radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients

10.1016/j.ejrad.2020.109020 · 2020 · External reference

Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer

10.1007/s00432-023-05574-5 · 2024 · External reference

Impact of peri-prostatic fat measurements using MRI on the prediction of prostate cancer with transrectal ultrasound-guided biopsy

10.1016/j.urolonc.2019.10.008 · 2020 · External reference

Peri-prostatic adipose tissue measurements using MRI predict prostate cancer aggressiveness in men undergoing radical prostatectomy

10.1007/s40618-020-01294-6 · 2021 · External reference

Comparison of morphological and functional MRI assessments of periprostatic fat for predicting prostate cancer aggressiveness

10.1590/s1677-5538.ibju.2024.0318 · 2025 · External reference

MRI-measured periprostatic to subcutaneous adipose tissue thickness ratio as an independent risk factor in prostate cancer patients undergoing radical prostatectomy

10.1038/s41598-024-71862-w · 2024 · External reference

The importance of periprostatic fat tissue thickness measured by preoperative multiparametric magnetic resonance imaging in upstage prediction after robot-assisted radical prostatectomy

10.4111/icu.20230215 · 2024 · External reference

A nomogram based on radiomic features from peri-prostatic adipose tissue for predicting bone metastasis in first-time diagnosed prostate cancer patients

10.1080/21623945.2025.2517583 · 2025 · External reference

Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine

10.1038/s41571-025-01067-1 · 2025 · External reference

Multi-sequence MRI-based radiomics model to preoperatively predict the WHO/ISUP grade of clear Cell Renal Cell Carcinoma: a two center study

10.1186/s12885-024-12930-2 · 2024 · External reference

Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

10.1007/s11571-020-09587-5 · 2020 · External reference

Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate- and high-risk prostate cancer patients

10.1177/0284185120905066 · 2020 · External reference

A novel imaging based nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI

10.1016/j.ebiom.2020.103163 · 2021 · External reference

Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer

10.1007/s11547-018-0966-4 · 2019 · External reference

Human periprostatic adipose tissue promotes prostate cancer aggressiveness in vitro

10.1186/1756-9966-31-32 · 2012 · External reference

Fatty acid profile in periprostatic adipose tissue and prostate cancer aggressiveness in African-Caribbean and Caucasian patients

10.1016/j.ejca.2017.12.017 · 2018 · External reference

The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell's metabolic crosstalk

10.1186/s12916-022-02457-3 · 2022 · External reference

Magnetic resonance imaging-based radiomics nomogram for the evaluation of therapeutic responses to neoadjuvant chemohormonal therapy in high-risk non-metastatic prostate cancer

10.1002/cam4.70001 · 2024 · External reference

Radiomics of periprostatic fat and tumor lesion based on MRI predicts the pathological upgrading of prostate cancer from biopsy to radical prostatectomy

10.1016/j.acra.2024.11.043 · 2025 · External reference

Can we use Ki67 expression to predict prostate cancer aggressiveness

10.1590/0100-6991e-20223200-en · 2022 · External reference

Preoperative histogram parameters of dynamic contrast-enhanced MRI as a potential imaging biomarker for assessing the expression of Ki-67 in prostate cancer

10.1002/cam4.3912 · 2021 · External reference

Incorporating prognostic biomarkers into risk assessment models and TNM staging for prostate cancer

10.3390/cells9092116 · 2020 · External reference

Risk factors of bone metastasis in patients with newly diagnosed prostate cancer

10.26355/eurrev_202201_27863 · 2022 · External reference

Retrospective analysis of risk factors for bone metastasis in newly diagnosed prostate cancer patients

10.26355/eurrev_202206_28950 · 2022 · External reference