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References from Dual-region deep learning model integrating prostate and peri-prostatic adipose tissue MRI features for bone metastasis prediction in prostate cancer. Local targets link to admitted publications; unresolved targets remain external evidence.
The epidemiology of prostate cancer
10.1101/cshperspect.a030361 · 2018 · External reference
Bone metastases: an overview
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Management of patients with advanced prostate cancer: report of the advanced prostate cancer consensus conference 2019
10.1016/j.eururo.2020.01.012 · 2020 · External reference
EAU-EANM-ESTRO-ESUR-ISUP-SIOG guidelines on prostate cancer. Part II-2024 update: treatment of relapsing and metastatic prostate cancer
10.1016/j.eururo.2024.04.010 · 2024 · External reference
Bone metastasis in prostate cancer: bone scan versus PET imaging
10.1053/j.semnuclmed.2023.07.004 · 2024 · External reference
Comparison of choline-PET/CT, MRI, SPECT, and bone scintigraphy in the diagnosis of bone metastases in patients with prostate cancer: a meta-analysis
10.1007/s00256-014-1903-9 · 2014 · External reference
Biomarkers for prostate cancer bone metastasis detection and prediction
10.3390/jpm13050705 · 2023 · External reference
Tumor microenvironment mechanisms and bone metastatic disease progression of prostate cancer
10.1016/j.canlet.2022.01.015 · 2022 · External reference
The seed and soil hypothesis: vascularisation and brain metastases
10.1016/s1470-2045(01)00622-2 · 2002 · External reference
Interplay between prostate cancer and adipose microenvironment: a complex and flexible scenario
10.3390/ijms231810762 · 2022 · External reference
Periprostatic adipocytes act as a driving force for prostate cancer progression in obesity
10.1038/ncomms10230 · 2016 · External reference
Periprostatic adipose inflammation is associated with high-grade prostate cancer
10.1038/pcan.2017.31 · 2017 · External reference
Peri-prostatic fat volume measurement as a predictive tool for castration resistance in advanced prostate cancer
10.1016/j.coemr.2020.02.007 · 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
Biparametric MRI of the prostate radiomics model for prediction of pelvic lymph node metastasis in prostate cancers: a two-centre study
10.1186/s12880-024-01372-8 · 2024 · External reference
MRI radiomics predicts progression-free survival in prostate cancer
10.3389/fonc.2022.974257 · 2022 · 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
Measurements of peri-prostatic adipose tissue by MRI predict bone metastasis in patients with newly diagnosed prostate cancer
10.3389/fonc.2024.1393650 · 2024 · External reference
Bone metastases and health in prostate cancer: from pathophysiology to clinical implications
10.3390/cancers15051518 · 2023 · External reference
A radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients
10.1016/j.ejrad.2020.109020 · 2020 · 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
Multifocal prostate cancer: biologic, prognostic, and therapeutic implications
10.1016/j.humpath.2010.02.011 · 2010 · External reference
Intra- and interreader reproducibility of PI-RADSv2: a multireader study
10.1002/jmri.26555 · 2019 · External reference
The potential of prostate gland radiomic features in identifying the Gleason score
10.1016/j.compbiomed.2022.105318 · 2022 · External reference
Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas
10.1148/radiol.2018180910 · 2019 · External reference
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: a multicenter study
10.1002/mp.14767 · 2021 · External reference
Lipid metabolism in prostate cancer
2014 · External reference
Alteration of lipid metabolism in prostate cancer: multifaceted oncologic implications
10.3390/ijms24021391 · 2023 · External reference
Periprostatic adipose tissue as a modulator of prostate cancer aggressiveness
10.1016/j.juro.2009.06.015 · 2009 · External reference
Influence of adipocytokines in periprostatic adipose tissue on prostate cancer aggressiveness
10.1016/j.cyto.2016.06.019 · 2016 · External reference
Periprostatic fat adipokine expression is correlated with prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localized disease
10.1111/bju.14469 · 2019 · External reference
Extraprostatic extension into periprostatic fat is a more important determinant of prostate cancer recurrence than an invasive phenotype
10.1016/j.juro.2013.06.050 · 2013 · External reference
Periprostatic adipose tissue MRI radiomics-derived features associated with clinically significant prostate cancer
10.1089/end.2023.0215 · 2023 · External reference
Lymph node involvement prediction using machine learning: analysis of prostatic nodule, prostatic gland, and periprostatic adipose tissue (PPAT)
10.3390/app15105426 · 2025 · External reference
Artificial intelligence in radiology
10.1038/s41568-018-0016-5 · 2018 · External reference
Classification of cancer at prostate MRI: deep learning versus clinical PI-RADS assessment
10.1148/radiol.2019190938 · 2019 · External reference
Prediction of bone metastasis of prostate cancer based on intratumoral and peritumoral radiomics of MRI T2WI combined with ADC images
10.3389/fonc.2025.1555315 · 2025 · External reference
A semi-automatic deep learning model based on biparametric MRI scanning strategy to predict bone metastases in newly diagnosed prostate cancer patients
10.3389/fonc.2024.1298516 · 2024 · 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