Academic literature on the topic 'Prostate – Cancer – Radiotherapy'
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Journal articles on the topic "Prostate – Cancer – Radiotherapy"
Catton, Charles N., Himu Lukka, and Jarad Martin. "Prostate Cancer Radiotherapy: An Evolving Paradigm." Journal of Clinical Oncology 36, no. 29 (October 10, 2018): 2909–13. http://dx.doi.org/10.1200/jco.2018.79.3257.
Full textPark, Won. "Radiotherapy for prostate cancer." Journal of the Korean Medical Association 58, no. 1 (2015): 21. http://dx.doi.org/10.5124/jkma.2015.58.1.21.
Full textKhoo, V. "Radiotherapy of prostate cancer." European Journal of Cancer 47 (September 2011): S298—S301. http://dx.doi.org/10.1016/s0959-8049(11)70178-2.
Full textNash, GF, KJ Turner, T. Hickish, J. Smith, M. Chand, and BJ Moran. "Interactions in the aetiology, presentation and management of synchronous and metachronous adenocarcinoma of the prostate and rectum." Annals of The Royal College of Surgeons of England 94, no. 7 (October 2012): 456–62. http://dx.doi.org/10.1308/003588412x13373405384611.
Full textStanić, Jelena, Vesna Stanković, and Marina Nikitović. "Radiation toxicity in prostate cancer patients." Medicinski podmladak 72, no. 2 (2021): 26–33. http://dx.doi.org/10.5937/mp72-32377.
Full textUlys, Albertas, Alvydas Vėželis, Andrius Ivanauskas, and Marius Snicorius. "Treatment methods of prostate cancer recurrence after radiotherapy. Current treatment alternatives and our clinical experience." Lietuvos chirurgija 12, no. 3 (January 1, 2013): 138–43. http://dx.doi.org/10.15388/lietchirur.2013.3.1840.
Full textChua, Melvin, Erle Holgersen, Veronica Sabelnykova, Adriana Salcedo, Alice Meng, Michael Fraser, Theodorus Van Der Kwast, Paul Christopher Boutros, and Robert G. Bristow. "Genomic architecture of radioresistant prostate cancer." Journal of Clinical Oncology 35, no. 6_suppl (February 20, 2017): 26. http://dx.doi.org/10.1200/jco.2017.35.6_suppl.26.
Full textGhadjar, Pirus, Stefan Höcht, and Thomas Wiegel. "Postoperative radiotherapy in prostate cancer." Lancet 397, no. 10285 (May 2021): 1623. http://dx.doi.org/10.1016/s0140-6736(21)00273-7.
Full textOhri, Nitin, Xinglei Shen, Robert B. Den, Adam P. Dicker, Edouard J. Trabulsi, and Timothy N. Showalter. "Salvage radiotherapy for prostate cancer." Cancer Biology & Therapy 13, no. 14 (December 6, 2012): 1449–53. http://dx.doi.org/10.4161/cbt.22006.
Full textBrenner, David J., and Eric J. Hall. "Hypofractionation in prostate cancer radiotherapy." Translational Cancer Research 7, S6 (July 2018): S632—S639. http://dx.doi.org/10.21037/tcr.2018.01.30.
Full textDissertations / Theses on the topic "Prostate – Cancer – Radiotherapy"
Rios, Patiño Richard. "Statistical modeling of bladder motion and deformation in prostate cancer radiotherapy." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S116/document.
Full textProstate cancer is the most common cancer amongst the male population in most developed countries. It is the most common cancer amongst the male population in France (73.609 cases in 2014) and in Colombia (9564 cases in 2014). It is also the third most common cause of cancer deaths in males in both countries (9.3% and 7.1% in France and in Colombia in 2014, respectively). One of the standard treatment methods is external radiotherapy, which involves delivering ionizing radiation to a clinical target, namely the prostate and seminal vesicles. Due to the uncertain location of organs during treatment, which involves around forty (40) radiation fractions delivering a total dose ranging from 70 to 80Gy, safety margins are defined around the tumor target upon treatment planning. This leads to portions of healthy organs neighboring the prostate or organs at risk — the bladder and rectum — to be included in the target volume, potentially resulting in adverse events affecting patients’ urinary (hematuria and cystitis, among others) or rectal (rectal bleeding, fecal incontinence, etc.) functions. The bladder is notorious for presenting the largest inter-fraction shape variations during treatment, caused by continuous changes in volume. These variations in shape introduce geometric uncertainties that render assessment of the actual dose delivered to the bladder during treatment difficult, thereby leading to dose uncertainties that limit the possibility of modeling dose-volume response for late genitourinary (GU) toxicity. The Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) project has stated that a similar dose-response to that of late gastrointestinal (GI) toxicity is far from being established. The dosimetric variables obtained from the planning CT prove to be very poor surrogates for the real delivered dose. As a result, it appears crucial to quantify uncertainties produced by inter-fraction bladder variations in order to determine dosimetric factors that affect late GU complications. The aim of this thesis was thus to characterize and predict uncertainties produced by geometric variations of the bladder between fractions, using solely the planning CT as input information. In clinical practice, a single CT scan is only available for a typical patient during the treatment planning while on-treatment CTs/CBCTs are seldom available. In this thesis, we thereby used a population approach to obtain enough data to learn the most important directions of bladder motion and deformation using principal components analysis (PCA). As in groundwork, these directions were then used to develop population-based models in order to predict and quantify geometrical uncertainties of the bladder. However, we use a longitudinal analysis in order to properly characterize both patient-specific variance and modes from the population. We proposed to use mixed-effects (ME) models and hierarchical PCA to separate intra and inter-patient variability to control confounding cohort effects. . Subsequently, we presented PCA models as a tool to quantify dose uncertainties produced by bladder motion and deformation between fractions
Knight, Kellie Ann. "Daily Image Guided Radiation Therapy for Prostate Cancer: An assessment of treatment plan reproducibility." Thesis, The University of Sydney, 2006. http://hdl.handle.net/2123/1628.
Full textKnight, Kellie Ann. "Daily Image Guided Radiation Therapy for Prostate Cancer: An assessment of treatment plan reproducibility." University of Sydney, 2006. http://hdl.handle.net/2123/1628.
Full textIt is well documented that for prostate cancer patients undergoing radiation therapy there is a correlation between target volume displacement and changes in bladder and rectal volumes. However, these studies have used a methodology that has captured only a subset of all treatment positions. This research used daily Computer Tomography (CT) imaging to comprehensively assess organ volumes, organ motion and their effect on dose, something that has never been performed previously, thus adding considerably to the understanding of the topic. Daily CT images were obtained using a Siemens Primus Linear Accelerator equipped with an in-room Somatom CT unit in the accelerator suite, marketed as ‘Primatom’, to accurately position the patient prior to treatment delivery. The internal structures of interest were contoured on the planning workstation by the investigator. The daily volume and location of the organs were derived from the computer to assess and analyse internal organ motion. The planned dose distribution was then imported onto the treatment CT datasets and used to compare the planned dose to i) the actual isocentre, where the isocentre was actually placed for that fraction, ii) the uncorrected isocentre, by un-doing any on-line corrections performed by the treatment staff prior to treatment delivery, and iii) the future isocentre, by placing the isocentre relative to internal organ motion on a daily basis. The results of this study did not confirm a statistically significant decrease in rectum volumes over time (hypothesis 1), however large fluctuations in bladder volume were confirmed (hypothesis 2). Internal organ motion for the rectum and bladder was demonstrated to be related to organ filling. Ideal planning volumes for these organs have been reported to minimise systematic and random uncertainty in the treatment volumes. An observed decrease in prostate volume over time, a systematic uncertainty in the location of the prostate at the time of the planning CT scan and a significant relationship between prostate centre of volume and rectum and bladder volumes has resulted in a recommendation that patients should be re-scanned during treatment to ensure appropriate clinical target volume coverage. A significant relationship between rectal and bladder volumes and the dose delivered to these organs was found (hypothesis 3). The dose delivered to the planning target volume was not related to the rectal or bladder volumes, although it was related to the motion of these organs. Despite these results only minimal effects on the dose delivered to any of the three isocentres occurred, indicating that the planned dose was accurately delivered using the methodology presented here (hypothesis 4). However the results do indicate that the patient preparation instructions need to be improved if margins are to be reduced in the future. It is unrealistic to assume that Image Guided Radiation Therapy will ever become routine practice due to infrastructure costs and time limitations. This research will inform radiation therapy centres of the variables associated with prostate cancer treatment on a daily basis, something that has never before been realistically achievable. As a result centres will be able to devise protocols to improve treatment outcomes.
Cheng, Kun. "Deformable models for adaptive radiotherapy planning." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22893.
Full textOspina, Arango Juan David. "Predictive models for side effects following radiotherapy for prostate cancer." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S046/document.
Full textExternal beam radiotherapy (EBRT) is one of the cornerstones of prostate cancer treatment. The objectives of radiotherapy are, firstly, to deliver a high dose of radiation to the tumor (prostate and seminal vesicles) in order to achieve a maximal local control and, secondly, to spare the neighboring organs (mainly the rectum and the bladder) to avoid normal tissue complications. Normal tissue complication probability (NTCP) models are then needed to assess the feasibility of the treatment and inform the patient about the risk of side effects, to derive dose-Volume constraints and to compare different treatments. In the context of EBRT, the objectives of this thesis were to find predictors of bladder and rectal complications following treatment; to develop new NTCP models that allow for the integration of both dosimetric and patient parameters; to compare the predictive capabilities of these new models to the classic NTCP models and to develop new methodologies to identify dose patterns correlated to normal complications following EBRT for prostate cancer treatment. A large cohort of patient treated by conformal EBRT for prostate caner under several prospective French clinical trials was used for the study. In a first step, the incidence of the main genitourinary and gastrointestinal symptoms have been described. With another classical approach, namely logistic regression, some predictors of genitourinary and gastrointestinal complications were identified. The logistic regression models were then graphically represented to obtain nomograms, a graphical tool that enables clinicians to rapidly assess the complication risks associated with a treatment and to inform patients. This information can be used by patients and clinicians to select a treatment among several options (e.g. EBRT or radical prostatectomy). In a second step, we proposed the use of random forest, a machine-Learning technique, to predict the risk of complications following EBRT for prostate cancer. The superiority of the random forest NTCP, assessed by the area under the curve (AUC) of the receiving operative characteristic (ROC) curve, was established. In a third step, the 3D dose distribution was studied. A 2D population value decomposition (PVD) technique was extended to a tensorial framework to be applied on 3D volume image analysis. Using this tensorial PVD, a population analysis was carried out to find a pattern of dose possibly correlated to a normal tissue complication following EBRT. Also in the context of 3D image population analysis, a spatio-Temporal nonparametric mixed-Effects model was developed. This model was applied to find an anatomical region where the dose could be correlated to a normal tissue complication following EBRT
Foo, Kerwyn Yi Min. "Methodological uncertainties in radiotherapy dose-effect analysis." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24421.
Full textRimmer, Yvonne Louise. "The Implementation and Optimisation of Image-Guided Radiotherapy in Prostate Cancer." Thesis, University of East Anglia, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521025.
Full textKhoo, Vincent. "A study of conformal radiotherapy methods for brain and prostate cancer." Thesis, Institute of Cancer Research (University Of London), 2000. http://publications.icr.ac.uk/9718/.
Full textMurray, Louise Janet. "Optimising treatment outcomes using Stereotactic Body Radiotherapy (SBRT) for prostate cancer." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/8666/.
Full textWirth, Manfred P., and Michael Fröhner. "Adjuvant Hormonal Treatment for Prostate Cancer: The Bicalutamide Early Prostate Cancer Program." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-133551.
Full textDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich
Books on the topic "Prostate – Cancer – Radiotherapy"
Carlo, Greco, and Zelefsky Michael, eds. Radiotherapy of prostate cancer. Australia: Harwood Academic, 2000.
Find full textGeinitz, Hans, Mack Roach III, and Nicholas van As, eds. Radiotherapy in Prostate Cancer. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-37099-1.
Full textVijayakumar, Srinivasan. Prostate cancer. New York: Demos Medical, 2011.
Find full textInnovative radiotherapy techniques for prostate cancer. Bremen: UNI-MED-Verl., 2012.
Find full textChen, Allen. Prostate cancer. New York: Demos Medical, 2011.
Find full textV, D'Amico Anthony, and Hanks Gerald E, eds. Advances in the radiotherapeutic management of carcinoma of the prostate. New York: Chapman & Hall, 1998.
Find full textWallner, Kent. Prostate cancer : a non-surgical perspective. Canaan, N.Y: SmartMedicine Press, 1996.
Find full text1955-, Klein Eric A., ed. Management of prostate cancer. 2nd ed. Totowa, N.J: Humana Press, 2004.
Find full text1955-, Klein Eric A., ed. Management of prostate cancer. 2nd ed. Totowa, N.J: Humana Press, 2004.
Find full textK, Valicenti Richard, Dicker Adam P, and Jaffray David A, eds. Prostate cancer: Image-guided radiation therapy. New York, USA: Informa Healthcare, 2008.
Find full textBook chapters on the topic "Prostate – Cancer – Radiotherapy"
Tsuji, Hiroshi, Hitoshi Ishikawa, and Takuma Nomiya. "Prostate Cancer." In Carbon-Ion Radiotherapy, 231–39. Tokyo: Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54457-9_27.
Full textHenderson, Daniel R., and Nicholas van As. "Prostate Cancer." In PET/CT in Radiotherapy Planning, 63–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54744-2_11.
Full textDonnelly, Ann E., and Robert Den. "Radiotherapy for Prostate Cancer." In Chemotherapy and Immunotherapy in Urologic Oncology, 55–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52021-2_6.
Full textPerna, Carla, Jennifer Uribe, Santiago Uribe-Lewis, and Stephen E. M. Langley. "Salvage Radiotherapy." In Salvage Therapy for Prostate Cancer, 115–20. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57181-8_10.
Full textKübler, Hubert, Tobias Maurer, Thomas Horn, and Jürgen E. Gschwend. "Salvage Prostatectomy After Radiotherapy." In Radiotherapy in Prostate Cancer, 253–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/174_2013_950.
Full textMason, Malcolm. "IMRT, Hypofractionated Radiotherapy and Stereotactic Radiotherapy: Technique, Indications, and Results." In Management of Prostate Cancer, 203–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42769-0_14.
Full textTendulkar, Rahul, and Kevin Stephans. "Contemporary External Beam Radiotherapy." In Management of Prostate Cancer, 243–61. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-60761-259-9_15.
Full textArcangeli, Giorgio, Stefano Arcangeli, and Lidia Strigari. "Hypofractionation and Stereotactic Treatment: Clinical Data." In Radiotherapy in Prostate Cancer, 163–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/174_2013_871.
Full textLangsenlehner, Tanja. "Biochemical Recurrence: A Valuable Endpoint?" In Radiotherapy in Prostate Cancer, 55–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/174_2013_904.
Full textRoach III, Mack. "Prophylactic Treatment of the Pelvic Lymphatics in Patients with High-Risk Prostate Cancer: Pro Radiation." In Radiotherapy in Prostate Cancer, 123–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/174_2013_906.
Full textConference papers on the topic "Prostate – Cancer – Radiotherapy"
Demeshko, P. D., A. N. Batyan, and E. V. Hancharova. "METHODS FOR EVALUATING LONG-TERM RESULTS OF RADIOTHERAPY FOR CANCER WITH HIGH AND LOW PROLIFERATION POTENTIAL." In SAKHAROV READINGS 2021: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute, 2021. http://dx.doi.org/10.46646/sakh-2021-1-249-252.
Full textOspina, J. D., A. Fargeas, G. Drean, A. Simon, O. Acosta, and R. de Crevoisier. "Recent advancements in toxicity prediction following prostate cancer radiotherapy." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319571.
Full textAzuddin, A. Yusof, I. Abdul Rahman, N. J. Siah, F. Mohamed, M. Saadc, and F. Ismail. "Radiation-induced complications in prostate cancer patients treated with radiotherapy." In THE 2014 UKM FST POSTGRADUATE COLLOQUIUM: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2014 Postgraduate Colloquium. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4895181.
Full textReddy, Joseph A., Melissa Nelson, LeCun Xu, Elaine Westrick, Marilynn Vetzel, Leroy Wheeler, Albert Felten, Hari Santhapuram, Iontcho Vlahov, and Christopher P. Leamon. "Abstract 852: Specificity of PSMA-617 radiotherapy for prostate cancer." In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-852.
Full textBruens, Serena T., Chiara Milanese, Nicole Verkaik, Pier Mastroberardino, Akos Gyenis, Jiang Chang, Kasper Derks, et al. "Abstract 1657: Mapping mechanisms of radiotherapy resistance in prostate cancer." In Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.am2016-1657.
Full textAcharya, Suryakanta. "Abstract PO-213: Financial implication of prostate cancer hypofractionated radiotherapy." In Abstracts: AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; October 6-8, 2021. American Association for Cancer Research, 2022. http://dx.doi.org/10.1158/1538-7755.disp21-po-213.
Full textKrishnan, Karthik, and Rex Cheung. "Evaluation of the accuracy of deformable registration of prostate MRI for targeted prostate cancer radiotherapy." In SPIE Medical Imaging, edited by Josien P. W. Pluim and Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.811697.
Full textSkalski, Andrzej, Tomasz Zieliński, Paweł Kukołowicz, and Piotr Kędzierawski. "Computed tomography-based radiotherapy planning on the example of prostate cancer." In the 4th International Symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2093698.2093840.
Full textGandhi, Vanita, Kuthpady Shrinivas, and Sarah Needleman. "37 Virtual reality: enhancing the prostate cancer patient’s experience of radiotherapy." In Leadership in Healthcare conference, 14th to 16th November 2018, Birmingham, UK. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/leader-2018-fmlm.37.
Full textChua, Melvin L. K., Erle Holgersen, Veronica Sabelnykova, Adriana Salcedo, Alice Meng, Michael Fraser, Theodorus van der Kwast, Paul C. Boutros, and Robert G. Bristow. "Abstract 5860: Genomic architecture of prostate cancer at recurrence following radiotherapy." In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-5860.
Full textReports on the topic "Prostate – Cancer – Radiotherapy"
Buchsbaum, Donald J. Genetic Radiotherapy of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada422767.
Full textLi, Chuan-Yuan. Enhancement of Prostate Cancer Radiotherapy by Immunogenetherapy. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada424647.
Full textSilvia S. Jurisson, PhD. Rhodium-105 Bombesin Analogs for Prostate Cancer Radiotherapy. Office of Scientific and Technical Information (OSTI), December 2005. http://dx.doi.org/10.2172/951630.
Full textRogers, Buck E. Enhanced Peptide Radiotherapy of Prostate Cancer Using Targeted Adenoviral Vectors. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada428235.
Full textChen, Lili. MR Imaging Based Treatment Planning for Radiotherapy of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada435143.
Full textPark, Jong Y. Genetic and Epigenetic Biomarkers for Recurrent Prostate Cancer After Radiotherapy. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada609389.
Full textPark, Jong. Genetic and Epigenetic Biomarkers for Recurrent Prostate Cancer After Radiotherapy. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada581491.
Full textRogers, Buck E. Enhanced Peptide Radiotherapy of Prostate Cancer Using Targeted Adenoviral Vectors. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada420846.
Full textChen, Lili. MR Imaging Based Treatment Planning for Radiotherapy of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, February 2007. http://dx.doi.org/10.21236/ada468037.
Full textFenton, Bruce M. Potentiation of Prostate Cancer Radiotherapy Using Antiangiogenic and Antitumor Therapies. Fort Belvoir, VA: Defense Technical Information Center, October 2007. http://dx.doi.org/10.21236/ada478113.
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