Academic literature on the topic 'Radiation therapy'

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Journal articles on the topic "Radiation therapy"

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Jingu, K., R. Umezawa, T. Yamamoto, Y. Ishikawa, N. Takahashi, K. Takeda, Y. Suzuki, S. Teramura, and S. Omata. "Radiation Therapy." Nihon Kikan Shokudoka Gakkai Kaiho 72, no. 2 (April 10, 2021): 84–87. http://dx.doi.org/10.2468/jbes.72.84.

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Article, Editorial. "RADIATION THERAPY." Diagnostic radiology and radiotherapy, no. 1 (April 26, 2018): 133–37. http://dx.doi.org/10.22328/2079-5343-2018-9-1-133-137.

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Strohl, Roberta Anne. "Radiation Therapy." Nursing Clinics of North America 25, no. 2 (June 1990): 309–29. http://dx.doi.org/10.1016/s0029-6465(22)02928-0.

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Haylock, Pamela J. "Radiation Therapy." American Journal of Nursing 87, no. 11 (November 1987): 1441. http://dx.doi.org/10.2307/3425900.

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Frassica, Deborah A., Sarah Thurman, and James Welsh. "RADIATION THERAPY." Orthopedic Clinics of North America 31, no. 4 (October 2000): 557–66. http://dx.doi.org/10.1016/s0030-5898(05)70175-9.

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Shipley, William U. "Radiation Therapy." Journal of Urology 147, no. 3 Part 2 (March 1992): 929–30. http://dx.doi.org/10.1016/s0022-5347(17)37425-6.

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Charkravarti, A., M. Wang, I. Robins, A. Guha, W. Curren, D. Brachman, C. Schultz, et al. "Radiation Therapy." Neuro-Oncology 12, Supplement 4 (October 21, 2010): iv105—iv112. http://dx.doi.org/10.1093/neuonc/noq116.s15.

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Behera, M. K., A. Sharma, S. Dutta, S. Sharma, P. K. Julka, G. K. Rath, W. J. Kil, et al. "RADIATION THERAPY." Neuro-Oncology 13, suppl 3 (October 21, 2011): iii127—iii133. http://dx.doi.org/10.1093/neuonc/nor160.

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Anwar, M., J. Lupo, A. Molinaro, J. Clarke, N. Butowski, M. Prados, S. Chang, et al. "RADIATION THERAPY." Neuro-Oncology 15, suppl 3 (November 1, 2013): iii178—iii188. http://dx.doi.org/10.1093/neuonc/not187.

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Jeremic, Branislav. "Radiation therapy." Hematology/Oncology Clinics of North America 18, no. 1 (February 2004): 1–12. http://dx.doi.org/10.1016/s0889-8588(03)00143-6.

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Dissertations / Theses on the topic "Radiation therapy"

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Crosbie, Jeffrey. "Synchrotron microbeam radiation therapy." Monash University. Faculty of Science. School of Physics, 2008. http://arrow.monash.edu.au/hdl/1959.1/64948.

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This thesis presents interdisciplinary, collaborative research in the field of synchrotron microbeam radiation therapy (MRT). Synchrotron MRT is an experimental radiotherapy technique under consideration for clinical use, following demonstration of efficacy in tumour-bearing rodent models with remarkable sparing of normal tissue. A high flux, X-ray beam from a synchrotron is segmented into micro-planar arrays of narrow beams, typically 25 μm wide and with peak-to-peak separations of 200 μm. The radiobiological effect of MRT and the underlying cellular mechanisms are poorly understood. The ratio between dose in the ‘peaks’of the microbeams to the dose in the ‘valleys’, between the microbeams, has strong biological significance. However, there are difficulties in accurately measuring the dose distribution for MRT. The aim of this thesis is to address elements of both the dosimetric and radiobiological gaps that exist in the field of synchrotron MRT. A method of film dosimetry and microdensitometry was adapted in order to measure the peak-to-valley dose ratios for synchrotron MRT. Two types of radiochromic film were irradiated in a phantom and also flush against a microbeam collimator on beamline BL28B2 at the SPring-8 synchrotron. The HD-810 and EBT varieties of radiochromic film were used to record peak dose and valley dose respectively. In other experiments, a dose build-up effect was investigated and the half value layer of the beam with and without the microbeam collimator was measured to investigate the effect of the collimator on the beam quality. The valley dose obtained for films placed flush against the collimator was approximately 0.25% of the peak dose. Within the water phantom, the valley dose had increased to between 0.7–1.8% of the peak dose, depending on the depth in the phantom. We also demonstrated, experimentally and by Monte Carlo simulation, that the dose is not maximal on the surface and that there is a dose build-up effect. The microbeam collimator did not make an appreciable difference to the beam quality. The measured values of peak-to-valley dose ratio were higher than those predicted by previously published Monte Carlo simulation papers. For the radiobiological studies, planar (560 Gy) or cross-planar (2 x 280 Gy or 2 x 560 Gy) irradiations were delivered to mice inoculated with mammary tumours in their leg, on beamline BL28B2 at the SPring-8 synchrotron. Immunohistochemical staining for DNA double strand breaks, proliferation and apoptosis was performed on irradiated tissue sections. The MRT response was compared to conventional radiotherapy at 11, 22 or 44 Gy. The results of the study provides the first evidence for a differential tissue response at a cellular level between normal and tumour tissues following synchrotron MRT. Within 24 hours of MRT to tumour, obvious cell migration had occurred into and out of irradiated zones. MRT-irradiated tumours showed significantly less proliferative capacity by 24 hours post-irradiation (P = 0.002). Median survival times for EMT-6.5 and 67NR tumour-bearing mice following MRT (2 x 560 Gy) and conventional radiotherapy (22 Gy) increased significantly compared to unirradiated controls (P < 0.0005). However, there was markedly less normal tissue damage from MRT than from conventional radiotherapy. MRT-treated normal skin mounts a more coordinated repair response than tumours. Cell-cell communication of death signals from directly irradiated, migrating cells, may explain why tumours are less resistant to high dose MRT than normal tissue.
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Skiöld, Sara. "Radiation induced biomarkers of individual sensitivity to radiation therapy." Doctoral thesis, Stockholms universitet, Institutionen för molekylär biovetenskap, Wenner-Grens institut, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-97123.

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Fifty percent of solid cancers are treated with radiation therapy (RT). The dose used in RT is adjusted to the most sensitive individuals so that not more than 5% of the patients will have severe adverse healthy tissue effects. As a consequence, the majority of the patients will receive a suboptimal dose, as they would have tolerated a higher total dose and received a better tumor control. Thus, if RT could be individualized based on radiation sensitivity (RS), more patients would be cured and the most severe adverse reactions could be avoided. At present the mechanisms behind RS are not known. The long term aim of this thesis was to develop diagnostic tools to assess the individual RS of breast cancer patients and to better understand the mechanisms behind the RS and radiation effects after low dose exposures. The approach was based on the hypothesis that biomarkers of individual RS, in terms of acute adverse skin reactions after breast cancer RT, can be found in whole blood that has been stressed by low doses of ionizing radiation (IR).  To reach this goal two different approaches to identify biomarkers of RS have been investigated. A protocol for the analysis of differential protein expression in response to low dose in vitro irradiated whole blood was developed (paper I). This protocol was then used to investigate the proteomic profile of radiation sensitive and normo-sensitive patients, using isotope-coded protein labeled proteomics (ICPL). The results from the ICPL study (paper III) show that the two patient groups have different protein expression profiles both at the basal level and after IR. In paper II the potential biomarker 8-oxo-dG was investigated in serum after IR. The relative levels of IR induced 8-oxo-dG from radiation sensitive patients differ significantly from normo-sensitive patients. This indicates that the sensitive patients differ in their cellular response to IR and that 8-oxo-dG is a potential biomarker for RS.

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 3: Manuscript.

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Bergh, Alphonsus Cornelis Maria van den. "Radiation therapy in pituitary adenomas." [S.l. : [Groningen : s.n.] ; University of Groningen] [Host], 2008. http://irs.ub.rug.nl/ppn/.

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Flejmer, Anna M. "Radiation burden from modern radiation therapy techniques including proton therapy for breast cancer treatment - clinical implications." Doctoral thesis, Linköpings universitet, Avdelningen för kliniska vetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-127370.

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The purpose of this thesis was to study the clinical implications of modern radiotherapy techniques for breast cancer treatment. This was investigated in several individual studies. Study I investigated the implications of using the analytical anisotropic algorithm (AAA) from the perspective of clinical recommendations for breast cancer radiotherapy. Pencil beam convolution plans of 40 breast cancer patients were recalculated with AAA. The latter plans had a significantly worse coverage of the planning target volume (PTV) with the 93% isodose, higher maximum dose in hotspots, higher volumes of the ipsilateral lung receiving doses below 25 Gy and smaller volumes with doses above 25 Gy. AAA also predicted lower doses to the heart. Study II investigated the implications of using the irregular surface compensator (ISC), an electronic compensation algorithm, in comparison to three‐dimensional conformal radiotherapy (3D‐CRT) for breast cancer treatment. Ten breast cancer patients were planned with both techniques. The ISC technique led to better coverage of the clinical target volume of the tumour bed (CTV‐T) and PTV in almost all patients with significant improvement in homogeneity. Study III investigated the feasibility of using scanning pencil beam proton therapy for regional and loco‐regional breast cancer with comparison of ISC photon planning. Ten patients were included in the study, all with dose heterogeneity in the target and/or hotspots in the normal tissues outside the PTV. The proton plans showed comparable or better CTV‐T and PTV coverage, with large reductions in the mean doses to the heart and the ipsilateral lung. Study IV investigated the added value of enhanced inspiration gating (EIG) for proton therapy. Twenty patients were planned on CT datasets acquired during EIG and freebreathing (FB) using photon 3D‐CRT and scanning proton therapy. Proton spot scanning has a high potential to reduce the irradiation of organs‐at‐risk for most patients, beyond what could be achieved with EIG and photon therapy, especially in terms of mean doses to the heart and the left anterior descending artery. Study V investigated the impact of physiological breathing motion during proton radiotherapy for breast cancer. Twelve thoracic patients were planned on CT datasets during breath‐hold at inhalation phase and breath‐hold at exhalation phase. Between inhalation and exhalation phase there were very small differences in dose delivered to the target and cardiovascular structures, with very small clinical implication. The results of these studies showed the potential of various radiotherapy techniques to improve the quality of life for breast cancer patients by limiting the dose burden for normal tissues.
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Fitzgerald, Rhys J. "A comparison of volumetric modulated arc therapy (VMAT), intensity modulated radiation therapy (IMRT) and 3-dimensional conformal radiation therapy (3DCRT) for stereotactic ablative radiation therapy (SABR) for early stage lung cancer." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/99826/4/Rhys_Fitzgerald_Thesis.pdf.

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This thesis is a comparative study looking at different radiation therapy treatment techniques for treating early stage lung cancer. It investigated three different techniques that had differing number of beams and treatment angles. Furthermore, it also look at beams that rotated, against beams that were stationary. It was discovered that multiple beams that continuously rotate around the patient provided optimal dose to the tumour, minimum dose to surrounding healthy tissues and had the quickest delivery time.
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Engelbeen, Céline. "The segmentation problem in radiation therapy." Doctoral thesis, Universite Libre de Bruxelles, 2010. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210107.

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The segmentation problem arises in the elaboration of a radiation therapy plan. After the cancer has been diagnosed and the radiation therapy sessions have been prescribed, the physician has to locate the tumor as well as the organs situated in the radiation field, called the organs at risk. The physician also has to determine the different dosage he wants to deliver in each of them and has to define a lower bound on the dosage for the tumor (which represents the minimum amount of radiation that is needed to have a sufficient control of the tumor) and an upper bound for each organ at risk (which represents the maximum amount of radiation that an organ can receive without damaging). Designing a radiation therapy plan that respects these different bounds of dosage is a complex optimization problem that is usually tackled in three steps. The segmentation problem is one of them.

Mathematically, the segmentation problem amounts to decomposing a given nonnegative integer matrix A into a nonnegative integer linear combination of some binary matrices. These matrices have to respect the consecutive ones property. In clinical applications several constraints may arise that reduce the set of binary matrices which respect the consecutive ones property that we can use. We study some of them, as the interleaf distance constraint, the interleaf motion constraint, the tongue-and-groove constraint and the minimum separation constraint.

We consider here different versions of the segmentation problem with different objective functions. Hence we deal with the beam-on time problem in order to minimize the total time during which the patient is irradiated. We study this problem under the interleaf distance and the interleaf motion constraints. We consider as well this last problem under the tongue-and-groove constraint in the binary case. We also take into account the cardinality and the lex-min problem. Finally, we present some results for the approximation problem.

/Le problème de segmentation intervient lors de l'élaboration d'un plan de radiothérapie. Après que le médecin ait localisé la tumeur ainsi que les organes se situant à proximité de celle-ci, il doit aussi déterminer les différents dosages qui devront être délivrés. Il détermine alors une borne inférieure sur le dosage que doit recevoir la tumeur afin d'en avoir un contrôle satisfaisant, et des bornes supérieures sur les dosages des différents organes situés dans le champ. Afin de respecter au mieux ces bornes, le plan de radiothérapie doit être préparé de manière minutieuse. Nous nous intéressons à l'une des étapes à réaliser lors de la détermination de ce plan: l'étape de segmentation.

Mathématiquement, cette étape consiste à décomposer une matrice entière et positive donnée en une combinaison positive entière linéaire de certaines matrices binaires. Ces matrices binaires doivent satisfaire la contrainte des uns consécutifs (cette contrainte impose que les uns de ces matrices soient regroupés en un seul bloc sur chaque ligne). Dans les applications cliniques, certaines contraintes supplémentaires peuvent restreindre l'ensemble des matrices binaires ayant les uns consécutifs (matrices 1C) que l'on peut utiliser. Nous en avons étudié certaines d'entre elles comme celle de la contrainte de chariots, la contrainte d'interdiciton de chevauchements, la contrainte tongue-and-groove et la contrainte de séparation minimum.

Le premier problème auquel nous nous intéressons est de trouver une décomposition de la matrice donnée qui minimise la somme des coefficients des matrices binaires. Nous avons développé des algorithmes polynomiaux qui résolvent ce problème sous la contrainte de chariots et/ou la contrainte d'interdiction de chevauchements. De plus, nous avons pu déterminer que, si la matrice donnée est une matrice binaire, on peut trouver en temps polynomial une telle décomposition sous la contrainte tongue-and-groove.

Afin de diminuer le temps de la séance de radiothérapie, il peut être désirable de minimiser le nombre de matrices 1C utilisées dans la décomposition (en ayant pris soin de préalablement minimiser la somme des coefficients ou non). Nous faisons une étude de ce problème dans différents cas particuliers (la matrice donnée n'est constituée que d'une colonne, ou d'une ligne, ou la plus grande entrée de celle-ci est bornée par une constante). Nous présentons de nouvelles bornes inférieures sur le nombre de matrices 1C ainsi que de nouvelles heuristiques.

Finalement, nous terminons par étudier le cas où l'ensemble des matrices 1C ne nous permet pas de décomposer exactement la matrice donnée. Le but est alors de touver une matrice décomposable qui soit aussi proche que possible de la matrice donnée. Après avoir examiné certains cas polynomiaux nous prouvons que le cas général est difficile à approximer avec une erreur additive de O(mn) où m et n représentent les dimensions de la matrice donnée.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished

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Chan, Kin Wa (Karl), University of Western Sydney, of Science Technology and Environment College, and School of Computing and Information Technology. "Lateral electron disequilibrium in radiation therapy." THESIS_CSTE_CIT_Chan_K.xml, 2002. http://handle.uws.edu.au:8081/1959.7/538.

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The radiation dose in radiation therapy is mainly measured by ion chamber. The ion chamber measurement will not be accurate if there is not enough phantom material surrounding the ion chamber to provide the electron equilibrium condition. The lack of electron equilibrium will cause a reduction of dose. This may introduce problems in treatment planning. Because some planning algorithms cannot predict the reduction, they over estimate the dose in the region. Electron disequilibrium will happen when the radiation field size is too small or the density of irradiated material is too low to provide sufficient electrons going into the dose volume. The amount of tissue required to provide electron equilibrium in a 6MV photon beam by three methods: direct calculation from Klein-Nisina equation, measurement in low density material phantom and a Monte Carlo simulation is done to compare with the measurement, an indirect method from a planning algorithm which does not provide an accurate result under lateral electron disequilibrium. When the error starts to happen in such planning algorithm, we know that the electron equilibrium conditions does not exist. Only the 6MV photon beam is investigated. This is because in most cases, a 6MV small fields are used for head and neck (larynx cavity) and 6MV fields are commonly used for lung to minimise uncertainity due to lateral electron at higher energies.
Master of Science (Hons)
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Chan, Kin Wa. "Lateral electron disequilibrium in radiation therapy /." View thesis, 2002. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20040507.164802/index.html.

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Thesis (M.Sc.) (Hons)-- University of Western Sydney, 2002.
"A thesis submitted in fulfillment of the requirements for the Degree of Master of Science (Honours) in Physics at the University of Western Sydney" "September 2002" "Kin Wa (Karl) Chan of Medical Physics Department of Westmead Hospital and the University of Western Sydney"-- t.p. Bibliography: leaves 100-105.
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Ranggård, Nina. "Optimizing Conformity inIntensity Modulated Radiation Therapy." Thesis, KTH, Fysik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147356.

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Chan, Timothy Ching-Yee. "Optimization under uncertainty in radiation therapy." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40302.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 175-182).
In the context of patient care for life-threatening illnesses, the presence of uncertainty may compromise the quality of a treatment. In this thesis, we investigate robust approaches to managing uncertainty in radiation therapy treatments for cancer. In the first part of the thesis, we study the effect of breathing motion uncertainty on intensity-modulated radiation therapy treatments of a lung tumor. We construct a robust framework that generalizes current mathematical programming formulations that account for motion. This framework gives insight into the trade-off between sparing the healthy tissues and ensuring that the tumor receives sufficient dose. With this trade-off in mind, we show that our robust solution outperforms a nominal (no uncertainty) solution and a margin (worst-case) solution on a clinical case. Next, we perform an in-depth study into the structure of different intensity maps that were witnessed in the first part of the thesis. We consider parameterized intensity maps and investigate their ability to deliver a sufficient dose to the tumor in the presence of motion that follows a Gaussian distribution. We characterize the structure of optimal intensity maps in terms of certain conditions on the problem parameters.
(cont.) Finally, in the last part of the thesis, we study intensity-modulated proton therapy under uncertainty in the location of maximum dose deposited by the beamlets of radiation. We provide a robust formulation for the optimization of proton-based treatments and show that it outperforms traditional formulations in the face of uncertainty. In our computational experiments, we see evidence that optimal robust solutions use the physical characteristics of the proton beam to create dose distributions that are far less sensitive to the underlying uncertainty.
by Timothy Ching-Yee Chan.
Ph.D.
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Books on the topic "Radiation therapy"

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Smith, Alfred R., ed. Radiation Therapy Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03107-0.

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Viswanathan, Akila N., Christian Kirisits, Beth E. Erickson, and Richard Pötter, eds. Gynecologic Radiation Therapy. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-68958-4.

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Sauer, Rolf, ed. Interventional Radiation Therapy. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84163-7.

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Bentel, Gunilla C. Radiation therapy planning. 2nd ed. New York, NY: McGraw-Hill, 1996.

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D, Altschuler M., and Smith Alfred R, eds. Radiation therapy physics. Berlin: Springer-Verlag, 1995.

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S, Ibbott Geoffrey, and Hendee Eric G, eds. Radiation therapy physics. 3rd ed. Hoboken, N.J: J. Wiley, 2005.

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S, Ibbott Geoffrey, ed. Radiation therapy physics. 2nd ed. St. Louis: Mosby, 1996.

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Bentel, Gunilla Carleson. Radiation therapy planning. 2nd ed. New York: McGraw-Hill, Health Professions Division, 1996.

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R, Dobelbower Ralph, and Abe Mitsuyuki 1932-, eds. Intraoperative radiation therapy. Boca Raton, Fla: CRC Press, 1989.

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Cukier, Daniel. Coping with radiation therapy. Los Angeles: Lowell House, 2001.

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Book chapters on the topic "Radiation therapy"

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Rimner, Andreas. "Radiation Therapy." In Caring for Patients with Mesothelioma: Principles and Guidelines, 47–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96244-3_4.

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Molina, Kristine M., Kristine M. Molina, Heather Honoré Goltz, Marc A. Kowalkouski, Stacey L. Hart, David Latini, J. Rick Turner, et al. "Radiation Therapy." In Encyclopedia of Behavioral Medicine, 1614. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_101431.

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Ito, Yoshinori. "Radiation Therapy." In Esophageal Squamous Cell Carcinoma, 227–49. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54977-2_13.

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Bush, R. S. "Radiation Therapy." In Ovarian Cancer, 74–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-69695-4_7.

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Barrett, A., and S. S. Donaldson. "Radiation Therapy." In Cancer in Children, 42–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84722-6_5.

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Robbins, Jared R., John Maclou Longo, and Michael Straza. "Radiation Therapy." In Cancer Regional Therapy, 461–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28891-4_37.

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Bahr, Benjamin, Boris Lemmer, and Rina Piccolo. "Radiation Therapy." In Quirky Quarks, 264–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49509-4_64.

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Bryant, Curtis, and William M. Mendenhall. "Radiation Therapy." In Juvenile Angiofibroma, 225–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45343-9_18.

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Goltra, Peter S. "Radiation Therapy." In Medcin, 690. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2286-6_85.

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Bambace, Santa, Giuseppe Bove, Stefania Carbone, Samantha Cornacchia, Angelo Errico, Maria Cristina Frassanito, Giovanna Lovino, Anna Maria Grazia Pastore, and Girolamo Spagnoletti. "Radiation Therapy." In Imaging Gliomas After Treatment, 23–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31210-7_3.

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Conference papers on the topic "Radiation therapy"

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Laissue, Jean A., Nadia Lyubimova, Hans-Peter Wagner, David W. Archer, Daniel N. Slatkin, Marco Di Michiel, Christian Nemoz, et al. "Microbeam radiation therapy." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by H. Bradford Barber and Hans Roehrig. SPIE, 1999. http://dx.doi.org/10.1117/12.368185.

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Mason, Suzie, Yiannis Roussakis, Rongxiao Zhang, Geoff Heyes, Gareth Webster, Stuart Green, Brian Pogue, and Hamid Dehghani. "Cherenkov Radiation Portal Imaging during Photon Radiotherapy." In Cancer Imaging and Therapy. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/cancer.2016.jm3a.41.

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"MODELING INTERNAL RADIATION THERAPY." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003172202280233.

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Chirkova, I. N., M. N. Petkevich, and T. S. Chikova. "MATRIX IONIZING RADIATION DETECTORS USED IN RADIATION THERAPY." In SAKHAROV READINGS 2022: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2022. http://dx.doi.org/10.46646/sakh-2022-2-230-233.

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Radiation therapy of malignant neoplasms can cause radiation reactions and complications from normal tissues in patients. The main requirement for radiation protection of patients is the maximum possible dose reduction in normal organs and tissues surrounding the target. Another requirement for the provision of high-quality medical services is the establishment of a quality assurance system for radiation therapy in clinics. The article provides an overview of modern matrix detectors of ionizing radiation used in radiation therapy. The principle of operation of matrix detectors, which have been widely used on modern medical linear electron accelerators, is considered. It is shown that an important stage of the radiation therapy quality control program is the use of matrix detectors to assess the dose distribution in the patient’s body, the patient’s position on the treatment table and when evaluating the dosimetric parameters of the radiotherapy apparatus.
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Garcia, J. F., K. Kaushal, and K. Melamed. "Hyperacute Radiation Recall Pneumonitis Induced by Radiation Therapy." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a5709.

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Parzyan, G. R., and A. V. Geinits. "Treatment of acute pancreatitis with mexidol and low-intensity laser radiation." In Low-Level Laser Therapy, edited by Tatiana I. Solovieva. SPIE, 2001. http://dx.doi.org/10.1117/12.425521.

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Suárez, Martín. "Conformal Radiation Therapy, Treatment Planning." In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2002. http://dx.doi.org/10.1063/1.1512036.

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Zhou, Jie, Chaohui Zhang, Dong Zhou, and Hui Zhang. "Multileaf collimator for radiation therapy." In International Conference on Medical Engineering and Bioinformatics. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/meb140521.

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Suárez, Martín, Luis Manuel Montaño Zentina, and Gerardo Herrera Corral. "Conformai Radiation Therapy, Treatment Planning." In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2011. http://dx.doi.org/10.1063/1.3682844.

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Maleki, T., and B. Ziaie. "Microsystems technology in radiation therapy." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5626340.

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Reports on the topic "Radiation therapy"

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Garsa, Adam, Julie K. Jang, Sangita Baxi, Christine Chen, Olamigoke Akinniranye, Owen Hall, Jody Larkin, Aneesa Motala, Sydne Newberry, and Susanne Hempel. Radiation Therapy for Brain Metasases. Agency for Healthcare Research and Quality (AHRQ), June 2021. http://dx.doi.org/10.23970/ahrqepccer242.

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Objective. This evidence report synthesizes the available evidence on radiation therapy for brain metastases. Data sources. We searched PubMed®, Embase®, Web of Science, Scopus, CINAHL®, clinicaltrials.gov, and published guidelines in July 2020; assessed independently submitted data; consulted with experts; and contacted authors. Review methods. The protocol was informed by Key Informants. The systematic review was supported by a Technical Expert Panel and is registered in PROSPERO (CRD42020168260). Two reviewers independently screened citations; data were abstracted by one reviewer and checked by an experienced reviewer. We included randomized controlled trials (RCTs) and large observational studies (for safety assessments), evaluating whole brain radiation therapy (WBRT) and stereotactic radiosurgery (SRS) alone or in combination, as initial or postoperative treatment, with or without systemic therapy for adults with brain metastases due to non-small cell lung cancer, breast cancer, or melanoma. Results. In total, 97 studies, reported in 190 publications, were identified, but the number of analyses was limited due to different intervention and comparator combinations as well as insufficient reporting of outcome data. Risk of bias varied; 25 trials were terminated early, predominantly due to poor accrual. Most studies evaluated WBRT, alone or in combination with SRS, as initial treatment; 10 RCTs reported on post-surgical interventions. The combination treatment SRS plus WBRT compared to SRS alone or WBRT alone showed no statistically significant difference in overall survival (hazard ratio [HR], 1.09; confidence interval [CI], 0.69 to 1.73; 4 RCTs; low strength of evidence [SoE]) or death due to brain metastases (relative risk [RR], 0.93; CI, 0.48 to 1.81; 3 RCTs; low SoE). Radiation therapy after surgery did not improve overall survival compared with surgery alone (HR, 0.98; CI, 0.76 to 1.26; 5 RCTs; moderate SoE). Data for quality of life, functional status, and cognitive effects were insufficient to determine effects of WBRT, SRS, or post-surgical interventions. We did not find systematic differences across interventions in serious adverse events radiation necrosis, fatigue, or seizures (all low or moderate SoE). WBRT plus systemic therapy (RR, 1.44; CI, 1.03 to 2.00; 14 studies; moderate SoE) was associated with increased risks for vomiting compared to WBRT alone. Conclusion. Despite the substantial research literature on radiation therapy, comparative effectiveness information is limited. There is a need for more data on patient-relevant outcomes such as quality of life, functional status, and cognitive effects.
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Macdonald, Dusten. Targeted Radiation Therapy for Cancer Initiative. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada612050.

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Halligan, John, Stephanie Ninneman, and Michael Brown. Targeted Radiation Therapy for Cancer Initiative. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada539130.

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MacDonald, Dusten, and Stephanie Ninneman. Targeted Radiation Therapy for Cancer Initiative. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada567268.

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Macdonald, Dusten, and Stephanie Ninneman. Targeted Radiation Therapy for Cancer Initiative. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada590464.

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MacDonald, Dusten. Targeted Radiation Therapy for Cancer Initiative. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada554234.

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Skelly, Andrea C., Eric Chang, Jessica Bordley, Erika D. Brodt, Shelley Selph, Rongwei Fu, Rebecca Holmes, et al. Radiation Therapy for Metastatic Bone Disease: Effectiveness and Harms. Agency for Healthcare Research and Quality (AHRQ), August 2023. http://dx.doi.org/10.23970/ahrqepccer265.

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Objectives. To evaluate the comparative effectiveness and harms of external beam radiation therapy (EBRT) for palliative treatment of metastatic bone disease (MBD). Data sources. Four electronic databases from 1985 to January 30, 2023; a targeted search for re-irradiation through January 30, 2023; reference lists; and a Federal Register notice. Review methods. Using predefined criteria and dual review, we selected randomized controlled trials (RCTs) and nonrandomized studies of interventions (NRSIs) comparing dose-fractionation schemes and EBRT delivery techniques (for initial radiation and re-irradiation, i.e., retreatment for recurrent or persistent pain) and EBRT alone versus in combination with other palliative treatments. Study risk of bias was assessed using predefined criteria. Strength of evidence (SOE) was assessed for the primary outcomes of pain, function, spinal cord compression relief, quality of life, and harms. Results. We included 53 RCTs and 31 NRSIs; most were fair quality. In patients receiving initial radiation for MBD there was a small increase in the likelihood of overall pain response (improved pain measures with stable or decreased analgesic use) for multiple fraction (MF) EBRT versus single fraction (SF) EBRT up to 4 weeks post-radiation therapy (SOE: moderate) and for higher dose (6 or 8 Gy) SF EBRT versus lower dose (4 Gy) SF EBRT up to 52 weeks post-radiation therapy (SOE: low). SF and MF EBRT did not differ at later followup (SOE: moderate) nor did comparisons of MF EBRT dose/fractions (SOE: moderate ≤12 weeks; low >12 weeks). Re-irradiation was more common with SF versus MF EBRT. Stereotactic body radiation therapy (SBRT) (SF or MF) was associated with a slightly higher (up to 20 weeks, SOE: low) and moderately higher (30 weeks; SOE: moderate) likelihood of overall pain response versus MF EBRT. For re-irradiation, SF and MF SBRT had a similar likelihood of overall pain response, as did SF versus MF EBRT (SOE: low for all). Harms may be similar across dose/fraction schemes and techniques; serious harms were rare. Comparative effectiveness evidence for EBRT was sparse. Conclusions. In patients with uncomplicated MBD receiving initial palliative radiotherapy, the likelihood of overall pain response for SF and MF EBRT is probably similar, particularly after 4 weeks; re-irradiation was more common with SF-EBRT. SF and MF SBRT may provide slightly greater likelihood of overall pain response versus MF EBRT; evidence is limited. SF and MF EBRT may have similar likelihoods of overall pain response in patients receiving re-irradiation. High-quality evidence comparing SBRT with EBRT is needed in populations with complicated and uncomplicated MBD, as is research on effectiveness of EBRT versus other treatments. Update: An addendum is located at the end of the main report, before the appendixes.
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Ipe, Nisy E. Neutron Measurements for Intensity Modulated Radiation Therapy. Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/763769.

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O'Brien, Robert. Radiation Therapy and Dosing Material Transport Methodology. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1755852.

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Skliar, Mikhail. Oxygenation-Enhanced Radiation Therapy of Breast Tumors. Fort Belvoir, VA: Defense Technical Information Center, November 2011. http://dx.doi.org/10.21236/ada558802.

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