Cronin KA, Lake AJ, Scott S, Sherman RL, Noone A-M, Howlader N et al (2018) Annual report to the nation on the status of cancer, part I: national cancer statistics. Cancer 124(13):2785–2800

Article  PubMed  Google Scholar 

Mottet N, Bellmunt J, Bolla M, Briers E, Cumberbatch MG, De Santis M et al (2017) EAU-ESTRO-SIOG guidelines on prostate cancer part 1: screening diagnosis and local treatment with curative intent. Eur Urol [Internet] 71(4):618–629

Article  PubMed  Google Scholar 

Beckendorf V, Guerif S, Le Prisé E, Cosset JM, Bougnoux A, Chauvet B et al (2011) 70 Gy versus 80 Gy in localized prostate cancer: 5-year results of GETUG 06 randomized trial. Int J Radiat Oncol Biol Phys [Internet] 80(4):1056–1063

Article  PubMed  Google Scholar 

Zumsteg ZS, Spratt DE, Romesser PB, Pei X, Zhang Z, Kollmeier M et al (2015) Anatomical patterns of recurrence following biochemical relapse in the dose escalation era of external beam radiotherapy for prostate cancer. J Urol [Internet] 194(6):1624–1630

Article  PubMed  Google Scholar 

Jones CU, Hunt D, McGowan DG, Amin MB, Chetner MP, Bruner DW et al (2011) Radiotherapy and short-term androgen deprivation for localized prostate cancer. N Engl J Med 365(2):107–118

Article  CAS  PubMed  Google Scholar 

Turaka A, Buyyounouski MK, Hanlon AL, Horwitz EM, Greenberg RE, Movsas B (2012) Hypoxic prostate/muscle Po2 ratio predicts for outcome in patients with localized prostate cancer: long-term results. Int J Radiat Oncol 82(3):e433–e439

Article  Google Scholar 

Lalonde E, Ishkanian AS, Sykes J, Fraser M, Ross-Adams H, Erho N et al (2014) Tumour genomic and microenvironmental heterogeneity for integrated prediction of 5-year biochemical recurrence of prostate cancer: a retrospective cohort study. Lancet Oncol 15(13):1521–1532

Article  PubMed  Google Scholar 

Milosevic M, Warde P, Ménard C, Chung P, Toi A, Ishkanian A et al (2012) Tumor hypoxia predicts biochemical failure following radiotherapy for clinically localized prostate cancer. Clin Cancer Res 18(7):2108–2114

Article  CAS  PubMed  Google Scholar 

Ragnum HB, Vlatkovic L, Lie AK, Axcrona K, Julin CH, Frikstad KM et al (2015) The tumour hypoxia marker pimonidazole reflects a transcriptional programme associated with aggressive prostate cancer. Br J Cancer 112(2):382–390

Article  CAS  PubMed  Google Scholar 

Hoskin PJ, Carnell DM, Taylor NJ, Smith RE, Stirling JJ, Daley FM et al (2007) Hypoxia in prostate cancer: correlation of BOLD-MRI with pimonidazole immunohistochemistry-initial observations. Int J Radiat Oncol Biol Phys [Internet] 68(4):1065–1071

Article  CAS  PubMed  Google Scholar 

Lambin P, Leijenaar RTH, Deist TM, Peerlings J, De Jong EEC, Van Timmeren J et al (2017) Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol [Internet] 4(12):749–762

Article  Google Scholar 

Bodalal Z, Trebeschi S, Nguyen-Kim TDL, Schats W, Beets-Tan R (2019) Radiogenomics: bridging imaging and genomics. Abdom Radiol 44(6):1960–1984

Article  Google Scholar 

Hectors SJ, Chen C, Chen J, Wang J, Gordon S, Yu M et al (2021) Magnetic resonance imaging radiomics-based machine learning prediction of clinically significant prostate cancer in equivocal <scp>PI-RADS</scp> 3 lesions. J Magn Reson Imaging 54(5):1466–1473

Article  PubMed  Google Scholar 

Binder ZA, Thorne AH, Bakas S, Wileyto EP, Bilello M, Akbari H et al (2018) Epidermal growth factor receptor extracellular domain mutations in glioblastoma present opportunities for clinical imaging and therapeutic development. Cancer Cell 34(1):163-177.e7

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kirienko M, Sollini M, Corbetta M, Voulaz E, Gozzi N, Interlenghi M et al (2021) Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer. Eur J Nucl Med Mol Imaging 48(11):3643–3655

Article  CAS  PubMed  PubMed Central  Google Scholar 

Fjeldbo CS, Hompland T, Hillestad T, Aarnes E-K, Günther C-C, Kristensen GB et al (2020) Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity. EBioMedicine 57:102841

Article  PubMed  PubMed Central  Google Scholar 

Fan M, Xia P, Clarke R, Wang Y, Li L (2020) Radiogenomic signatures reveal multiscale intratumour heterogeneity associated with biological functions and survival in breast cancer. Nat Commun 11(1):4861

Article  CAS  PubMed  PubMed Central  Google Scholar 

Yang L, Roberts D, Takhar M, Erho N, Bibby BAS, Thiruthaneeswaran N et al (2018) Development and validation of a 28-gene hypoxia-related prognostic signature for localized prostate cancer. EBioMedicine [Internet] 31:182–189

Article  PubMed  Google Scholar 

Mongan J, Moy L, Kahn CE (2020) Checklist for artificial intelligence in medical imaging (CLAIM): a guide for authors and reviewers. Radiol Artif Intell 2(2):e200029

Article  PubMed  PubMed Central  Google Scholar 

van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V et al (2017) Computational radiomics system to decode the radiographic phenotype. Cancer Res 77(21):e104–e107

Article  PubMed  PubMed Central  Google Scholar 

Carré A, Klausner G, Edjlali M, Lerousseau M, Briend-Diop J, Sun R et al (2020) Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. Sci Rep 10(1):12340

Article  PubMed  PubMed Central  Google Scholar 

Nyul LG, Udupa JK, Zhang X (2000) New variants of a method of MRI scale standardization. IEEE Trans Med Imaging 19(2):143–150

Article  CAS  PubMed  Google Scholar 

Zwanenburg A, Vallières M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A et al (2020) The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology 295(2):328–338

Article  PubMed  Google Scholar 

Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J (2011) Scikit-learn: Machine Learning in Python. J Mach Learn Res [Internet] 12:2825–2830

Google Scholar 

DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845

Article  CAS  PubMed  Google Scholar 

Poon DMC, Yuan J, Yang B, Kerkmeijer LGW, Kishan AU, Murthy V et al (2022) Magnetic Resonance Imaging–guided Focal Boost to Intraprostatic Lesions Using External Beam Radiotherapy for Localized Prostate Cancer: A Systematic Review and Meta-analysis. Eur Urol Oncol 6(2):116–127

Article  Google Scholar 

Bristow R, Berlin A, Dal Pra A (2014) An arranged marriage for precision medicine: hypoxia and genomic assays in localized prostate cancer radiotherapy. Br J Radiol 87(1035):20130753

Article  CAS  PubMed  PubMed Central  Google Scholar 

Amaro A, Esposito AI, Gallina A, Nees M, Angelini G, Albini A et al (2014) Validation of proposed prostate cancer biomarkers with gene expression data: a long road to travel. Cancer Metastasis Rev 33(2–3):657–671

Article  CAS  PubMed  PubMed Central  Google Scholar 

Stamey TA, Yang N, Hay AR, McNeal JE, Freiha FS, Redwine E (1987) Prostate-Specific Antigen as a Serum Marker for Adenocarcinoma of the Prostate. N Engl J Med 317(15):909–916

Article  CAS  PubMed  Google Scholar 

Tomaszewski MR, Gillies RJ (2021) The biological meaning of radiomic features. Radiology 298(3):505–516

Article  PubMed  Google Scholar 

Gao J, Ye F, Han F, Wang X, Jiang H, Zhang J. 2021 A Novel Radiogenomics Biomarker Based on Hypoxic-Gene Subset: Accurate Survival and Prognostic Prediction of Renal Clear Cell Carcinoma. Front Oncol, 11

Beig N, Bera K, Prasanna P, Antunes J, Correa R, Singh S et al (2020) Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma. Clin Cancer Res [Internet] 26(8):1866–1876

Article  CAS  PubMed  Google Scholar 

Ferro M, de Cobelli O, Vartolomei MD, Lucarelli G, Crocetto F, Barone B et al (2021) Prostate cancer radiogenomics—from imaging to molecular characterization. Int J Mol Sci 22(18):9971

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sun Y, Williams S, Byrne D, Keam S, Reynolds HM, Mitchell C et al (2019) Association analysis between quantitative MRI features and hypoxia-related genetic profiles in prostate cancer: a pilot study. Br J Radiol 92(1104):20190373

Article  PubMed  PubMed Central  Google Scholar 

O’Connor JPB, Aboagye EO, Adams JE, Aerts HJWL, Barrington SF, Beer AJ et al (2017) Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol 14(3):169–186

Article  PubMed  Google Scholar 

Leech M, Leijenaar RTH, Hompland T, Gaffney J, Lyng H, Marignol L (2023) Exploring hypoxia in prostate cancer with T2-weighted magnetic resonance imaging radiomics and pimonidazole scoring. Anticancer Res 43(1):351–357

Article  CAS  PubMed  Google Scholar 

Stoyanova R, Takhar M, Tschudi Y, Ford JC, Solórzano G, Erho N et al (2016) Prostate cancer radiomics and the promise of radiogenomics. Transl Cancer Res [Internet] 5(4):432–447

Article  PubMed  Google Scholar 

Hanczar B, Bourgeais V, Zehraoui F (2022) Assessment of deep learning and transfer learning for cancer prediction based on gene expression data. BMC Bioinformatics 23(1):262