INFORMAZIONI SU QUESTO ARTICOLO

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Mottet N, van den Bergh RCN, Briers E, van den Broeck T, Cumberbatch MG, de Santis M, et al. EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol 2021; 79: 243–62. doi: 10.1016/j.eururo.2020.09.042 MottetN van den BerghRCN BriersE van den BroeckT CumberbatchMG de SantisM EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: screening, diagnosis, and local treatment with curative intent Eur Urol 2021 79 243 62 10.1016/j.eururo.2020.09.042 Open DOISearch in Google Scholar

Pathmanathan AU, McNair HA, Schmidt MA, Brand DH, Delacroix L, Eccles CL, et al. Comparison of prostate delineation on multimodality imaging for MR-guided radiotherapy. Br J Radiol 2019; 92: 20180948. doi: 10.1259/bjr.20180948 PathmanathanAU McNairHA SchmidtMA BrandDH DelacroixL EcclesCL Comparison of prostate delineation on multimodality imaging for MR-guided radiotherapy Br J Radiol 2019 92 20180948 10.1259/bjr.20180948 Open DOISearch in Google Scholar

Dunlop A, Mitchell A, Tree A, Barnes H, Bower L, Chick J, et al. Daily adaptive radiotherapy for patients with prostate cancer using a high field MR-linac: initial clinical experiences and assessment of delivered doses compared to a C-arm linac. Clin Transl Radiat Oncol 2020; 23: 35–42. doi: 10.1016/j.ctro.2020.04.011 DunlopA MitchellA TreeA BarnesH BowerL ChickJ Daily adaptive radiotherapy for patients with prostate cancer using a high field MR-linac: initial clinical experiences and assessment of delivered doses compared to a C-arm linac Clin Transl Radiat Oncol 2020 23 35 42 10.1016/j.ctro.2020.04.011 Open DOISearch in Google Scholar

Wegener D, Thome A, Paulsen F, Gani C, Boldt J, Butzer S, et al. First experience and prospective evaluation on feasibility and acute toxicity of online adaptive radiotherapy of the prostate bed as salvage treatment in patients with biochemically recurrent prostate cancer on a 1.5 T MR-linac. J Clin Med 2022; 11: 4651. doi: 10.3390/jcm11164651 WegenerD ThomeA PaulsenF GaniC BoldtJ ButzerS First experience and prospective evaluation on feasibility and acute toxicity of online adaptive radiotherapy of the prostate bed as salvage treatment in patients with biochemically recurrent prostate cancer on a 1.5 T MR-linac J Clin Med 2022 11 4651 10.3390/jcm11164651 Open DOISearch in Google Scholar

Grégoire V, Guckenberger M, Haustermans K, Lagendijk JJW, Ménard C, Pötter R, et al. Image-guidance in radiation therapy for better cure of cancer. Mol Oncol 2020; 14: 1470–91. doi: 10.1002/1878-0261.12751 GrégoireV GuckenbergerM HaustermansK LagendijkJJW MénardC PötterR Image-guidance in radiation therapy for better cure of cancer Mol Oncol 2020 14 1470 91 10.1002/1878-0261.12751 Open DOISearch in Google Scholar

Decker G, Mürtz P, Gieseke J, Träber F, Block W, Sprinkart AM, et al. Intensity-modulated radiotherapy of the prostate: dynamic ADC monitoring by DWI at 3.0T. Radiother Oncol 2014; 113: 115–20. doi: 10.1016/j.radonc.2014.07.016 DeckerG MürtzP GiesekeJ TräberF BlockW SprinkartAM Intensity-modulated radiotherapy of the prostate: dynamic ADC monitoring by DWI at 3.0T Radiother Oncol 2014 113 115 20 10.1016/j.radonc.2014.07.016 Open DOISearch in Google Scholar

Thorwarth D, Ege M, Nachbar M, Mönnich D, Gani C, Zips D, et al. Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation. Phys Imaging Radiat Oncol 2020; 16: 69–73. doi: 10.1016/j.phro.2020.09.007 ThorwarthD EgeM NachbarM MönnichD GaniC ZipsD Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation Phys Imaging Radiat Oncol 2020 16 69 73 10.1016/j.phro.2020.09.007 Open DOISearch in Google Scholar

Almansour H, Afat S, Fritz V, Schick F, Nachbar M, Thorwarth D, et al. Prospective image quality and lesion assessment in the setting of MR-guided radiation therapy of prostate cancer on an MR-linac at 1.5 T: a comparison to a standard 3 T MRI. Cancers 2021; 13: 1533. doi: 10.3390/cancers13071533 AlmansourH AfatS FritzV SchickF NachbarM ThorwarthD Prospective image quality and lesion assessment in the setting of MR-guided radiation therapy of prostate cancer on an MR-linac at 1.5 T: a comparison to a standard 3 T MRI Cancers 2021 13 1533 10.3390/cancers13071533 Open DOISearch in Google Scholar

Wegener D, Zips D, Thorwarth D, Weiß J, Othman AE, Grosse U, et al. Precision of T2 TSE MRI-CT-image fusions based on gold fiducials and repetitive T2 TSE MRI-MRI-fusions for adaptive IGRT of prostate cancer by using phantom and patient data. Acta Oncologica 2019; 58: 88–94. doi: 10.1080/0284186X.2018.1518594 WegenerD ZipsD ThorwarthD WeißJ OthmanAE GrosseU Precision of T2 TSE MRI-CT-image fusions based on gold fiducials and repetitive T2 TSE MRI-MRI-fusions for adaptive IGRT of prostate cancer by using phantom and patient data Acta Oncologica 2019 58 88 94 10.1080/0284186X.2018.1518594 Open DOISearch in Google Scholar

Winkel D, Bol GH, Kroon PS, van Asselen B, Hackett SS, Werensteijn-Honingh AM, et al. Adaptive radiotherapy: The Elekta Unity MR-linac concept. Clin Transl Radiat Oncol 2019; 18: 54–9. doi: 10.1016/j.ctro.2019.04.001 WinkelD BolGH KroonPS van AsselenB HackettSS Werensteijn-HoninghAM Adaptive radiotherapy: The Elekta Unity MR-linac concept Clin Transl Radiat Oncol 2019 18 54 9 10.1016/j.ctro.2019.04.001 Open DOISearch in Google Scholar

[Guideline program oncology. Interdisciplinary guideline of quality S3 for early detection, diagnosis and therapy of the various stages of prostate carcinoma.] [German]. Deutsche Krebsgesellschaft, D.K., AWMF. 2019; Long version 5.1: 345. [Guideline program oncology. Interdisciplinary guideline of quality S3 for early detection, diagnosis and therapy of the various stages of prostate carcinoma.] [German] Deutsche Krebsgesellschaft, D.K., AWMF 2019 Long version 5.1: 345 Search in Google Scholar

Hallgren KA. Computing inter-rater reliability for observational data: an overview and tutorial. Tutor Quant Methods Psychol 2012; 8: 23–34. doi: 10.20982/tqmp.08.1.p023 HallgrenKA Computing inter-rater reliability for observational data: an overview and tutorial Tutor Quant Methods Psychol 2012 8 23 34 10.20982/tqmp.08.1.p023 Open DOISearch in Google Scholar

Tamada T, Sone T, Jo Y, Toshimitsu S, Yamashita T, Yamamoto A, et al. Apparent diffusion coefficient values in peripheral and transition zones of the prostate: Comparison between normal and malignant prostatic tissues and correlation with histologic grade. J Magn Reson Imaging 2008; 28: 720–6. doi: 10.1002/jmri.21503 TamadaT SoneT JoY ToshimitsuS YamashitaT YamamotoA Apparent diffusion coefficient values in peripheral and transition zones of the prostate: Comparison between normal and malignant prostatic tissues and correlation with histologic grade J Magn Reson Imaging 2008 28 720 6 10.1002/jmri.21503 Open DOISearch in Google Scholar

van Schie MA, van Houdt PJ, Ghobadi G, Pos FJ, Walraven I, de Boer HCJ, et al. Quantitative MRI changes during weekly ultra-hypofractionated prostate cancer radiotherapy with integrated boost. Front Oncol 2019; 9: 1264. doi: 10.3389/fonc.2019.01264 van SchieMA van HoudtPJ GhobadiG PosFJ WalravenI de BoerHCJ Quantitative MRI changes during weekly ultra-hypofractionated prostate cancer radiotherapy with integrated boost Front Oncol 2019 9 1264 10.3389/fonc.2019.01264 Open DOISearch in Google Scholar

Wu S, Jiao Y, Zhang Y, Ren X, Li P, Yu Q, et al. Imaging-based individualized response prediction of carbon ion radiotherapy for prostate cancer patients. Cancer Manag Res 2019; 11: 9121–31. doi: 10.2147/CMAR.S214020 WuS JiaoY ZhangY RenX LiP YuQ Imaging-based individualized response prediction of carbon ion radiotherapy for prostate cancer patients Cancer Manag Res 2019 11 9121 31 10.2147/CMAR.S214020 Open DOISearch in Google Scholar

Abdollahi H, Mofid B, Shiri I, Razzaghdoust A, Saadipoor A, Mahdavi A, et al. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer. Radiol Med 2019; 124: 555–67. doi: 10.1007/s11547-018-0966-4 AbdollahiH MofidB ShiriI RazzaghdoustA SaadipoorA MahdaviA Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer Radiol Med 2019 124 555 67 10.1007/s11547-018-0966-4 Open DOISearch in Google Scholar

Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ, et al. PI-RADS prostate imaging – reporting and data system: 2015, version 2. Eur Urol 2016; 69: 16–40. doi: 10.1016/j.eururo.2015.08.052 WeinrebJC BarentszJO ChoykePL CornudF HaiderMA MacuraKJ PI-RADS prostate imaging – reporting and data system: 2015, version 2 Eur Urol 2016 69 16 40 10.1016/j.eururo.2015.08.052 Open DOISearch in Google Scholar

Thorwarth D, Low DA. Technical challenges of real-time adaptive MR-guided radiotherapy. Front Oncol 2021; 11: 634507. doi: 10.3389/fonc.2021.634507 ThorwarthD LowDA Technical challenges of real-time adaptive MR-guided radiotherapy Front Oncol 2021 11 634507 10.3389/fonc.2021.634507 Open DOISearch in Google Scholar

Boeke S, Mönnich D, van Timmeren JE, Balermpas P. MR-guided radiotherapy for head and neck cancer: current developments, perspectives, and challenges. Front Oncol 2021; 11: 616156. doi: 10.3389/fonc.2021.616156 BoekeS MönnichD van TimmerenJE BalermpasP MR-guided radiotherapy for head and neck cancer: current developments, perspectives, and challenges Front Oncol 2021 11 616156 10.3389/fonc.2021.616156 Open DOISearch in Google Scholar

Boldrini L, Intven M, Bassetti M, Valentini V, Gani C. MR-guided radiotherapy for rectal cancer: current perspective on organ preservation. Front Oncol 2021; 11: 619852. doi: 10.3389/fonc.2021.619852 BoldriniL IntvenM BassettiM ValentiniV GaniC MR-guided radiotherapy for rectal cancer: current perspective on organ preservation Front Oncol 2021 11 619852 10.3389/fonc.2021.619852 Open DOISearch in Google Scholar

Yang Y, Cao M, Sheng K, Gao Y, Chen A, Kamrava M, et al. Longitudinal diffusion MRI for treatment response assessment: preliminary experience using an MRI-guided tri-cobalt 60 radiotherapy system. Med Phys 2016; 43: 1369–73. doi: 10.1118/1.4942381 YangY CaoM ShengK GaoY ChenA KamravaM Longitudinal diffusion MRI for treatment response assessment: preliminary experience using an MRI-guided tri-cobalt 60 radiotherapy system Med Phys 2016 43 1369 73 10.1118/1.4942381 Open DOISearch in Google Scholar

Shaverdian N, Yang Y, Hu P, Hart S, Sheng K, Lamb J, et al. Feasibility evaluation of diffusion-weighted imaging using an integrated MRI-radiotherapy system for response assessment to neoadjuvant therapy in rectal cancer. Br J Radiol 2017; 90: 20160739. doi: 10.1259/bjr.20160739 ShaverdianN YangY HuP HartS ShengK LambJ Feasibility evaluation of diffusion-weighted imaging using an integrated MRI-radiotherapy system for response assessment to neoadjuvant therapy in rectal cancer Br J Radiol 2017 90 20160739 10.1259/bjr.20160739 Open DOISearch in Google Scholar

Lawrence LSP, Chan RW, Chen H, Keller B, Stewart J, Ruschin M, et al. Accuracy and precision of apparent diffusion coefficient measurements on a 1.5 T MR-Linac in central nervous system tumour patients. Radiother Oncol 2021; 164: 155–62. doi: 10.1016/j.radonc.2021.09.020 LawrenceLSP ChanRW ChenH KellerB StewartJ RuschinM Accuracy and precision of apparent diffusion coefficient measurements on a 1.5 T MR-Linac in central nervous system tumour patients Radiother Oncol 2021 164 155 62 10.1016/j.radonc.2021.09.020 Open DOISearch in Google Scholar

Habrich J, Boeke S, Nachbar M, Nikolaou K, Schick F, Gani C, et al. Repeatability of diffusion-weighted magnetic resonance imaging in head and neck cancer at a 1.5 T MR-Linac. Radiother Oncol 2022; 174: 141–8. doi: 10.1016/j.radonc.2022.07.020 HabrichJ BoekeS NachbarM NikolaouK SchickF GaniC Repeatability of diffusion-weighted magnetic resonance imaging in head and neck cancer at a 1.5 T MR-Linac Radiother Oncol 2022 174 141 8 10.1016/j.radonc.2022.07.020 Open DOISearch in Google Scholar

Habrich J, Boeke S, Nachbar M, Nikolaou K, Schick F, Gani C, et al. Longitudinal correlations between intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced (DCE) MRI during radiotherapy in prostate cancer patients. Front Oncol 2022; 12: 897130. doi: 10.3389/fonc.2022.897130 HabrichJ BoekeS NachbarM NikolaouK SchickF GaniC Longitudinal correlations between intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced (DCE) MRI during radiotherapy in prostate cancer patients Front Oncol 2022 12 897130 10.3389/fonc.2022.897130 Open DOISearch in Google Scholar

van der Heide UA, Houweling AC, Groenendaal G, Beets-Tan RG, Lambin P. Functional MRI for radiotherapy dose painting. Magn Reson Imaging 2012; 30: 1216–23. doi: 10.1016/j.mri.2012.04.010 van der HeideUA HouwelingAC GroenendaalG Beets-TanRG LambinP Functional MRI for radiotherapy dose painting Magn Reson Imaging 2012 30 1216 23 10.1016/j.mri.2012.04.010 Open DOISearch in Google Scholar

Kooreman ES, van Houdt PJ, Keesman R, Pos FJ, van Pelt VWJ, Nowee ME, et al. ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium. Radiother Oncol 2020; 153: 106–13. doi: 10.1016/j.radonc.2020.09.046 KooremanES van HoudtPJ KeesmanR PosFJ van PeltVWJ NoweeME ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium Radiother Oncol 2020 153 106 13 10.1016/j.radonc.2020.09.046 Open DOISearch in Google Scholar

eISSN:
1581-3207
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Medicine, Clinical Medicine, Internal Medicine, Haematology, Oncology, Radiology