Готові списки джерел за темами / Cancer Radiotherapy Planning

Добірка наукової літератури з теми "Cancer Radiotherapy Planning"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Cancer Radiotherapy Planning"

1

Khan, Yasmin. "Radiotherapy planning for breast cancer." South Asian Journal of Cancer 03, no. 01 (January 2014): 096. http://dx.doi.org/10.4103/2278-330x.126581.

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2

KILIC, Diclehan. "Radiotherapy planning at rectal cancer." Turkish Journal of Oncology 28, no. 2 (2013): 91–99. http://dx.doi.org/10.5505/tjoncol.2013.950.

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3

Shirai, Katsuyuki, Akiko Nakagawa, Takanori Abe, Masahiro Kawahara, Jun-ichi Saitoh, Tatsuya Ohno, and Takashi Nakano. "Use of FDG-PET in Radiation Treatment Planning for Thoracic Cancers." International Journal of Molecular Imaging 2012 (May 14, 2012): 1–9. http://dx.doi.org/10.1155/2012/609545.

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Radiotherapy plays an important role in the treatment for thoracic cancers. Accurate diagnosis is essential to correctly perform curative radiotherapy. Tumor delineation is also important to prevent geographic misses in radiotherapy planning. Currently, planning is based on computed tomography (CT) imaging when radiation oncologists manually contour the tumor, and this practice often induces interobserver variability. F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) has been reported to enable accurate staging and detect tumor extension in several thoracic cancers, such as lung cancer and esophageal cancer. FDG-PET imaging has many potential advantages in radiotherapy planning for these cancers, because it can add biological information to conventional anatomical images and decrease the inter-observer variability. FDG-PET improves radiotherapy volume and enables dose escalation without causing severe side effects, especially in lung cancer patients. The main advantage of FDG-PET for esophageal cancer patients is the detection of unrecognized lymph node or distal metastases. However, automatic delineation by FDG-PET is still controversial in these tumors, despite the initial expectations. We will review the role of FDG-PET in radiotherapy for thoracic cancers, including lung cancer and esophageal cancer.
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4

Harmer, C., M. Bidmead, S. Shepherd, A. Sharpe, and L. Vini. "Radiotherapy planning techniques for thyroid cancer." British Journal of Radiology 71, no. 850 (October 1998): 1069–75. http://dx.doi.org/10.1259/bjr.71.850.10211068.

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5

Windisch, Paul, Daniel R. Zwahlen, Stefan A. Koerber, Frederik L. Giesel, Jürgen Debus, Uwe Haberkorn, and Sebastian Adeberg. "Clinical Results of Fibroblast Activation Protein (FAP) Specific PET and Implications for Radiotherapy Planning: Systematic Review." Cancers 12, no. 9 (September 15, 2020): 2629. http://dx.doi.org/10.3390/cancers12092629.

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Small molecules targeting fibroblast activation protein (FAP) have emerged as a new group of tracers for positron emission tomography (PET) in 2018. The purpose of this systematic review is therefore to summarize the evidence that has been gathered to date in patients and to discuss its possible implications for radiotherapy planning. The MEDLINE database was searched for the use of FAP-specific PET in cancer patients and the records were screened according to PRISMA guidelines. Nineteen studies were included. While dedicated analyses of FAP-specific PET for radiotherapy planning were available for glioblastoma, head and neck cancers, lung cancer, and tumors of the lower gastrointestinal tract, there is still very limited data for several epidemiologically significant cancers. In conclusion, FAP-specific PET represents a promising imaging modality for radiotherapy planning that warrants further research.
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6

Moore, Kevin L. "Automated Radiotherapy Treatment Planning." Seminars in Radiation Oncology 29, no. 3 (July 2019): 209–18. http://dx.doi.org/10.1016/j.semradonc.2019.02.003.

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7

Keall, P. J., S. Joshi, G. Tracton, V. Kini, S. Vedam, and R. Mohan. "4-Dimensional radiotherapy planning." International Journal of Radiation Oncology*Biology*Physics 57, no. 2 (October 2003): S233. http://dx.doi.org/10.1016/s0360-3016(03)01056-3.

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8

Filice, Angelina, Massimiliano Casali, Patrizia Ciammella, Marco Galaverni, Federica Fioroni, Cinzia Iotti, and Annibale Versari. "Radiotherapy Planning and Molecular Imaging in Lung Cancer." Current Radiopharmaceuticals 13, no. 3 (November 30, 2020): 204–17. http://dx.doi.org/10.2174/1874471013666200318144154.

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Introduction: In patients suitable for radical chemoradiotherapy for lung cancer, 18F-FDGPET/ CT is a proposed management to improve the accuracy of high dose radiotherapy. However, there is a high rate of locoregional failure in patients with locally advanced non-small cell lung cancer (NSCLC), probably due to the fact that standard dosing may not be effective in all patients. The aim of the present review was to address some criticisms associated with the radiotherapy image-guided in NSCLC. Materials and Methods: A systematic literature search was conducted. Only published articles that met the following criteria were included: articles, only original papers, radiopharmaceutical ([18F]FDG and any tracer other than [18F]FDG), target, only specific for lung cancer radiotherapy planning, and experimental design (eventually “in vitro” studies were excluded). Peer-reviewed indexed journals, regardless of publication status (published, ahead of print, in press, etc.) were included. Reviews, case reports, abstracts, editorials, poster presentations, and publications in languages other than English were excluded. The decision to include or exclude an article was made by consensus and any disagreement was resolved through discussion. Results: Hundred eligible full-text articles were assessed. Diverse information is now available in the literature about the role of FDG and new alternative radiopharmaceuticals for the planning of radiotherapy in NSCLC. In particular, the role of alternative technologies for the segmentation of FDG uptake is essential, although indeterminate for RT planning. The pros and cons of the available techniques have been extensively reported. : Conclusion: PET/CT has a central place in the planning of radiotherapy for lung cancer and, in particular, for NSCLC assuming a substantial role in the delineation of tumor volume. The development of new radiopharmaceuticals can help overcome the problems related to the disadvantage of FDG to accumulate also in activated inflammatory cells, thus improving tumor characterization and providing new prognostic biomarkers.
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9

Barley, Victor. "Treatment of cancer." Clinical Risk 13, no. 5 (September 1, 2007): 196–99. http://dx.doi.org/10.1258/135626207781572756.

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The second in a series of three articles. This article describes the management of cancer by surgery, radiotherapy and drugs. The beneficial and harmful effects of radiation are described, and the planning and delivery of radiotherapy are outlined. Potential errors such as incorrect or delayed diagnosis, failure to obtain informed consent, errors in planning, identification, or dose of radiation given are discussed. Chemotherapy and its side effects are explained and the potential harm from error in prescription or delivery is described.
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10

Benayun, M., Z. Symon, S. L. Galper, D. Ilinsky, I. Indikt, S. Sasson-Naimi, J. Kraitman, and O. Kaidar-Person. "Implementation of an Automatic-Planning System for Breast Cancer Radiotherapy Planning." International Journal of Radiation Oncology*Biology*Physics 108, no. 3 (November 2020): e316. http://dx.doi.org/10.1016/j.ijrobp.2020.07.755.

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Дисертації з теми "Cancer Radiotherapy Planning"

1

Cheng, Kun. "Deformable models for adaptive radiotherapy planning." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22893.

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Radiotherapy is the most widely used treatment for cancer, with 4 out of 10 cancer patients receiving radiotherapy as part of their treatment. The delineation of gross tumour volume (GTV) is crucial in the treatment of radiotherapy. An automatic contouring system would be beneficial in radiotherapy planning in order to generate objective, accurate and reproducible GTV contours. Image guided radiotherapy (IGRT) acquires patient images just before treatment delivery to allow any necessary positional correction. Consequently, real-time contouring system provides an opportunity to adopt radiotherapy on the treatment day. In this thesis, freely deformable models (FDM) and shape constrained deformable models (SCDMs) were used to automatically delineate the GTV for brain cancer and prostate cancer. Level set method (LSM) is a typical FDM which was used to contour glioma on brain MRI. A series of low level image segmentation methodologies are cascaded to form a case-wise fully automatic initialisation pipeline for the level set function. Dice similarity coefficients (DSCs) were used to evaluate the contours. Results shown a good agreement between clinical contours and LSM contours, in 93% of cases the DSCs was found to be between 60% and 80%. The second significant contribution is a novel development to the active shape model (ASM), a profile feature was selected from pre-computed texture features by minimising the Mahalanobis distance (MD) to obtain the most distinct feature for each landmark, instead of conventional image intensity. A new group-wise registration scheme was applied to solve the correspondence definition within the training data. This ASM model was used to delineated prostate GTV on CT. DSCs for this case was found between 0.75 and 0.91 with the mean DSC 0.81. The last contribution is a fully automatic active appearance model (AAM) which captures image appearance near the GTV boundary. The image appearance of inner GTV was discarded to spare the potential disruption caused by brachytherapy seeds or gold markers. This model outperforms conventional AAM at the prostate base and apex region by involving surround organs. The overall mean DSC for this case is 0.85.
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2

Gozbasi, Halil Ozan. "Optimization approaches for planning external beam radiotherapy." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34726.

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External beam radiotherapy is delivered from outside the body aimed at cancer cells to damage their DNA making them unable to divide and reproduce. The beams travel through the body and may damage nearby healthy tissues unless carefully planned. Therefore, the goal of treatment plan optimization is to find the best system configuration to deliver sufficient dose to target structures while avoiding damage to healthy tissues. This thesis investigates optimization approaches for two external beam radiation therapy techniques: Intensity-Modulated Radiation Therapy (IMRT) and Volumetric-Modulated Arc Therapy (VMAT). We develop an automated treatment planning technology for IMRT which generates several high-quality treatment plans satisfying the provided requirements in a single invocation and without human guidance. Our approach is based on an existing linear programming-based fluence map optimization model that approximates dose-volume requirements using conditional value-at-risk (C-VaR) constraints. We show how the parameters of the C-VaR constraints can be used to control various metrics of treatment plan quality. A novel bi-criteria scoring based beam selection algorithm is developed which finds the best beam configuration at least ten times faster for real-life brain, prostate, and head and neck cases as compared to an exact mixed integer programming model. Patient anatomy changes due to breathing during the treatment of lung cancer need to be considered in treatment planning. To date, a single phase of the breathing cycle is typically selected for treatment and radiation is shut-off in other phases. We investigate optimization technology that finds optimal fluence maps for each phase of the breathing cycle by considering the overall dose delivered to a patient using image registration algorithms to track target structures and organs at risk. Because the optimization exploits the opportunities provided in each phase, better treatment plans are obtained. The improvements are shown on a real-life lung case. VMAT is a recent radiation treatment technology which has the potential to provide treatments in less time compared to other delivery techniques. This enhances patient comfort and allows for the treatment of more patients. We build a large-scale mixed-integer programming model for VMAT treatment plan optimization. The solution of this model is computationally prohibitive. Therefore, we develop an iterative MIP-based heuristic algorithm which solves the model multiple times on a reduced set of decision variables. We introduce valid inequalities that decrease solution times, and, more importantly, that identify higher quality integer solutions within specified time limits. Computational studies on a spinal tumor and a prostate tumor case produce clinically acceptable results.
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3

Baustert, Isabelle Catherine. "Quantitative MR imaging in planning and assessing novel cancer treatments." Thesis, Institute of Cancer Research (University Of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248446.

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4

Brown, Elizabeth M. "Biologically guided adaptive radiotherapy treatment planning for virally-mediated head and neck cancer." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/98899/1/Elizabeth_Brown_Thesis.pdf.

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This thesis developed predictive models and risk profiles for pre-treatment identification of suitable adaptive radiotherapy candidates, from a cohort of oropharyngeal and nasopharyngeal cancer patients. This unique prospective approach could facilitate effective implementation of head and neck cancer adaptive radiotherapy into radiotherapy departments in Australia and internationally, through forward planning and appropriate resource allocation. Predicting those patients more likely to need adaptive radiotherapy in an efficient and judicious manner provides numerous benefits to radiotherapy departments across the world and ultimately, the patients under our care.
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5

Wu, Wing-cheung Vincent, and 胡永祥. "Inverse planning in three-dimensional conformal and intensity modulated radiotherapy." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31246163.

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6

Wilson, Elena McNaught. "Three dimensional conformal radiotherapy treatment planning for non-small cell lung cancer." Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404897.

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7

Jagannathan, Rupa. "A case-based reasoning system for radiotherapy treatment planning for brain cancer." Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/29318/.

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In this thesis, a novel case-based reasoning (CBR) approach to radiotherapy treatment planning for brain cancer patients is presented. In radiotherapy, tumour cells are destroyed using ionizing radiation. For each patient, a treatment plan is generated that describes how the radiation should be applied in order to deliver a tumouricidal radiation dose while avoiding irradiation of healthy tissue and organs at risk in the vicinity of the tumour. The traditional, manual trial and error approach is a time-consuming process that depends on the experience and intuitive knowledge of medical physicists. CBR is an artificial intelligence methodology, which attempts to solve new problems based on the solutions of previously solved similar problems. In this research work, CBR is used to generate the parameters of a treatment plan by capturing the subjective and intuitive knowledge of expert medical physicists stored intrinsically in the treatment plans of similar patients treated in the past. This work focusses on the retrieval stage of the CBR system, in which given a new patient case, the most similar case in the archived case base is retrieved along with its treatment plan. A number of research issues that arise from using CBR for radiotherapy treatment planning for brain cancer are addressed. Different approaches to similarity calculation between cases are investigated and compared, in particular, the weighted nearest neighbour similarity measure and a novel non-linear, fuzzy similarity measure designed for our CBR system. A local case attribute weighting scheme has been developed that uses rules to assign attribute weights based on the values of the attributes in the new case and is compared to global attribute weighting, where the attribute weights remain constant for all target cases. A multi-phase case retrieval approach is introduced in which each phase considers one part of the solution. In addition, a framework developed for the imputation of missing values in the case base is described. The research was carried out in collaboration with medical physicists at the Nottingham University Hospitals NHS Trust, City Hospital Campus, UK. The performance of the developed methodologies was tested using brain cancer patient cases obtained from the City Hospital. The results obtained show that the success rate of the retrieval mechanism provides a good starting point for adaptation, the next phase in development for the CBR system. The developed automated CBR system will assist medical physicists in quickly generating treatment plans and can also serve as a teaching and training aid for junior, inexperienced medical physicists. In addition, the developed methods are generic in nature and can be adapted to be used in other CBR or intelligent decision support systems for other complex, real world, problem domains that highly depend on subjective and intuitive knowledge.
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8

Neal, Anthony James. "Optimisation of radiotherapy treatment planning for tumours of the breast, prostate and brain." Thesis, King's College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306922.

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9

Johansson, Jonas. "Comparative Treatment Planning in Radiotherapy and Clinical Impact of Proton Relative Biological Effectiveness." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6593.

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10

Zizzari, Angelo. "Methods on tumor recognition and planning target prediction for the radiotherapy of cancer /." Aachen : Shaker Verlag, 2004. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=013333167&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Книги з теми "Cancer Radiotherapy Planning"

1

Dobbs, Jane. Practical radiotherapy planning. 3rd ed. London: Edward Arnold, 1999.

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2

Kamada, Tadashi, Hirohiko Tsujii, Kumiko Karasawa, Kōji Noda, and Tsuji Hiroshi. Carbon-ion radiotherapy: Principles, practices, and treatment planning. Japan: Springer, 2014.

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3

Haas, Olivier Cyrille Louis. Radiotherapy Treatment Planning: New System Approaches. London: Springer London, 1999.

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4

1925-, Vaeth Jerome M., and Meyer John 1949-, eds. Treatment planning in the radiation therapy of cancer. Basel: Karger, 1987.

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5

Haas, Olivier C. L. Radiotherapy treatment planning: New system approaches. London: Springer, 1999.

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6

E, Nelson Charles, and Noell K. Thomas, eds. Treatment planning & dose calculation in radiation oncology. 4th ed. New York: Pergamon Press, 1989.

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7

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

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8

E, Nelson Charles, and Noell K. Thomas, eds. Treatment planning & dose calculation in radiation oncology. 4th ed. New York: McGraw-Hill, 1989.

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9

Treatment planning in radiation oncology. 3rd ed. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health, 2011.

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10

Alfred, Breit, and Heuck Andreas, eds. Tumor response monitoring and treatment planning. Berlin: Springer-Verlag, 1992.

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Частини книг з теми "Cancer Radiotherapy Planning"

1

Henderson, 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.

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2

O’Connor, Angus, and Helen M. Betts. "Lung Cancer." In PET/CT in Radiotherapy Planning, 45–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54744-2_8.

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3

Mukherji, Ashutosh. "Radiotherapy in Cancer Care." In Basics of Planning and Management of Patients during Radiation Therapy, 23–27. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6659-7_3.

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4

Harmer, Clive, and Margaret Bidmead. "Three-dimensional planning and conformal radiotherapy." In Cancer Treatment and Research, 129–41. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6121-7_9.

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5

Lichter, A. S., B. A. Fraass, D. L. McShan, R. F. Diaz, R. K. TenHaken, C. Perez-Tamayo, and K. Weeks. "Radiotherapy Treatment Planning: Past, Present, and Future." In New Directions in Cancer Treatment, 53–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83405-9_3.

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6

Aldehaim, Mohamed, and Jack Phan. "Proposal for Establishing a New Radiotherapy Facility." In The Comprehensive Cancer Center, 41–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82052-7_6.

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AbstractCancer is a growing burden globally. Radiotherapy has proven to be a critical and cost-effective treatment modality for a cure in greater than 50% of cancer patients. There are numerous obstacles and challenges in establishing new radiotherapy facilities and programs, especially in low- and middle-income countries. It is known that the clinical aspect, as well as procedure related to the physical and technical aspect of patient treatment, needs to be subjected to careful planning in order to ensure safe and high-quality radiotherapy. This process required the engagement of various professionals from different backgrounds.This chapter aims to define radiotherapy value, assessing a radiation facility’s clinical, infrastructure, and resources need to establish a new radiotherapy facility.
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7

Buzurovic, Ivan, Gil'ad Cohen, Judith H. Mott, Jose Perez-Catalayud, and Anysja Zuchora. "Medical Physics and Planning in Skin Radiotherapy and Brachytherapy." In Non-melanoma Skin Cancer, 195–224. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003226017-15.

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8

Horst, Kathleen C., Nataliya Kovalchuk, and Carol Marquez. "Postmastectomy Radiotherapy with and Without Reconstruction." In Radiation Therapy Techniques and Treatment Planning for Breast Cancer, 17–27. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40392-2_2.

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9

Koylu, Murat, Nezahat Olacak, and Ayfer Haydaroglu. "Three-Dimensional Planning Techniques." In Principles and Practice of Modern Radiotherapy Techniques in Breast Cancer, 183–204. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5116-7_16.

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10

Chang, Stephanie T., Karyn A. Goodman, George P. Yang, and Albert C. Koong. "Stereotactic Body Radiotherapy for Unresectable Pancreatic Cancer." In IMRT, IGRT, SBRT - Advances in the Treatment Planning and Delivery of Radiotherapy, 386–94. Basel: KARGER, 2007. http://dx.doi.org/10.1159/000106048.

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Тези доповідей конференцій з теми "Cancer Radiotherapy Planning"

1

Sebaaly, Anthony, Corinne Bassile, Tamara Akl, Georges Farha, Jad El Barouky, Fares Azoury, and Sandy Rihana. "Radiotherapy Treatment Planning System Simulation Lung Cancer Application." In 2018 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET). IEEE, 2018. http://dx.doi.org/10.1109/imcet.2018.8603054.

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2

Miladinović, Tatjana, Aleksandar Miladinović, Nina Pavlović, Dragoslav Nikezić, and Dragana Krstić. "DOSIMETRIC COMPARISON OF VMAT AND 3D CONFORMAL RADIOTHERAPY IN PREOPERATIVE RECTAL CANCER." In 1st INTERNATIONAL Conference on Chemo and BioInformatics. Institute for Information Technologies, University of Kragujevac, 2021. http://dx.doi.org/10.46793/iccbi21.181m.

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The standard procedure in treating rectum cancer is surgical intervention, but presurgical chemotherapy and radiotherapy lead to a lower rate of localized recidives. Our study compared the results obtained by two techniques of radiation treatment planning (RTP) in radiotherapy, which patients received in the preoperative course of rectum cancer treatment, Volumetric Modulated Arc Therapy (VMAT) and field-in-field three-dimensional conformal radiotherapy (FIF 3D-CRT). We analyzed better coverage of the planning target volume (PTV) and better protection of organs from risk (OAR): bladder, bowel, left femoral head, and right femoral head results and monitor unit (MU). Also, we analyzed the target volume coverage indicators included homogeneity index (HI), and conformity index (CI). Selected five patients were treated in University Clinical Center Kragujevac during 2020. The two types of techniques for making radiotherapy plans, mentioned above, were designed for each patient using the same CT scans. All plans were done on the treatment planning system ECLIPSE- Version 15.6 (Varian). The prescribed dose for all patients was 50 Gy in 25 fractions. The first arc was planned in the clockwise direction and the second in the counter clockwise direction. FIF 3D-CRT plans were obtained by using fields from four different directions with the same isocenter. It was obtained that VMAT plans, compared to the FIF 3D-CRT, achieved better coverage of the PTV (D95%), better heterogeneity, and conformity. Protection for OAR such as the bladder, femoral heads, and small bowel is much better than that given by FIF 3D-CRT plans. However, the number of MU calculated by FIF 3D-CRT is almost twice lower compared to VMAT.
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Skalski, 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.

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4

Makarava, N. I., and M. N. Piatkevich. "TREATMENT PLANNING PROTOCOLS FOR HEAD AND NECK TUMORS IRRADIATION." In SAKHAROV READINGS 2021: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2021. http://dx.doi.org/10.46646/sakh-2021-2-66-69.

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In order to provide high-quality radiation therapy at the National Cancer Center of Belarus, a group of medical physicists developed the first local protocol in Belarus for radiotherapy treatment planning of head and neck tumors patients. The protocol contains grounded practice-oriented recommendations based on the long-term clinical experience of qualified medical physicists in treating patients with head and neck tumors for irradiation using modern linear accelerators.
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5

Wodzinski, Marek, Andrzej Skalski, Piotr Kedzierawski, and Tomasz Kuszewski. "Application of B-splines FFD image registration in breast cancer radiotherapy planning." In 2017 International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 2017. http://dx.doi.org/10.1109/iwssip.2017.7965578.

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6

Nailon, William H., Anthony T. Redpath, and Duncan B. McLaren. "Texture analysis of 3D bladder cancer CT images for improving radiotherapy planning." In 2008 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008). IEEE, 2008. http://dx.doi.org/10.1109/isbi.2008.4541080.

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Christensen, Gary E., Jeffrey F. Williamson, K. S. C. Chao, Michael I. Miller, F. B. So, and Michael W. Vannier. "Deformable anatomical templates for brachytherapy treatment planning in radiotherapy of cervical cancer." In Optical Science, Engineering and Instrumentation '97, edited by Robert A. Melter, Angela Y. Wu, and Longin J. Latecki. SPIE, 1997. http://dx.doi.org/10.1117/12.292779.

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Koksal, Canan, Nazmiye Donmez Kesen, and Nergiz Dagoglu Sakin. "IMPACT OF INTERMEDIATE DOSE CALCULATION MODULE ON THORACIC ESOPHAGUS CANCER RADIOTHERAPY PLANNING." In RAP Conference. Sievert Association, 2021. http://dx.doi.org/10.37392/rapproc.2021.21.

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John, Subhashini. "High precision radiotherapy for vulvar cancer in post renal transplantation: Dosimetric challenges." In 16th Annual International Conference RGCON. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0039-1685369.

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Background: Patients with renal transplant have a higher incidence of various malignancies. Delivery of adequate radiation dose to the pelvic target in such patients sparing the transplanted kidney is a dosimetric ordeal. Due to lack of sufficient data in the literature regarding the dose constraint of the transplanted pelvic kidney, plan evaluation becomes extremely challenging in this situation. Here we present comparative dosimetric plan evaluation data of treating a patient with carcinoma of the vulva with transplanted kidney. Methods: We compared 3D conformal radiotherapy (3DCRT) and Intensity Modulated Radiotherapy (IMRT) plans for a patient diagnosed to have carcinoma of the vulva with a transplanted kidney. Total dose of radiotherapy (63 Gy) was delivered in two phases (45 Gy in 25 fractions and 18 Gy in 10 fractions respectively). We compared dose to planning target volume (PTV), and dose to organs at risk including the transplanted kidney in these two techniques. The volumes encompassed by different isodoses (50%, 20%, 10%, 5%) were also compared. Weekly renal function test was monitored. Results: The dose received by 95% of the planning target volume in 3DCRT was 43.3 Gy (phase 1), 17.7 Gy (phase 2) and in IMRT was 43.74 Gy (phase 1), 17.3 Gy (phase 2). The mean doses received by kidney in Phase 1 3DCRT, Phase 1 IMRT, phase 2 3DCRT and phase 2 IMRT were 0.98 Gy, 3.05 Gy, 0.74 Gy, 0.13 Gy respectively. The volumes covered by 50%, 20%, 10%, 5% were higher with IMRT plan when compared with 3DCRT plans. The creatinine values remained stable through the treatment. Conclusion: Radiotherapy in renal transplanted patients can be done with high precision radiotherapy techniques with strict dosimetric and image guided set up verification.
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Diniz, João Otávio Bandeira, Aristófanes Corrêa Silva, and Anselmo Cardoso de Paiva. "Methods for segmentation of spinal cord and esophagus in radiotherapy planning computed tomography." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sibgrapi.est.2021.20009.

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Organs at Risk (OARs) are healthy tissues around cancer that must be preserved in radiotherapy (RT). The spinal cord and esophagus are crucial OARs. In this work, we proposed methods for the segmentation of these OARs from the CT using image processing techniques and deep convolutional neural network (CNN). For spinal cord segmentation, two methods are proposed, the first using techniques such as template matching, superpixel, and CNN. The second method, use adaptive template matching and CNN. In the esophagus segmentation, we proposed a method composed of registration techniques, atlas, pre-processing, U-Net, and post-processing. The methods were applied to 36 planning CT images provided by The Cancer Imaging Archive. The first method for spinal cord segmentation obtained 78.20% Dice. The second method for spinal cord segmentation obtained 81.69% Dice. The esophagus segmentation method obtained an accuracy of 82.15% Dice.
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Звіти організацій з теми "Cancer Radiotherapy Planning"

1

Chen, 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.

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2

Chen, 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.

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