Intensity modulated radiation therapy :a clinical overview /

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Intensity modulated radiation therapy :a clinical overview /

Das, Indra Jeet, - Personal Name; Institute of Physics (Great Britain), - Personal Name; Sanfilippo, Nicholas J., - Personal Name; Fogliata, Antonella, - Personal Name; Cozzi, Luca, - Personal Name;

"Version: 20201201"--Title page verso.Includes bibliographical references.1. Introduction -- 2. Beam modulation -- 2.1. Forward planning -- 2.2. Paradigm shift -- 2.3. Simulated annealing3. Definitions and terminology -- 3.1. Pixel -- 3.2. Voxel -- 3.3. Bixel (beamlet) -- 3.4. Intensity level -- 3.5. Segment -- 3.6. Concept of dose painting4. IMRT devices -- 4.1. Intensity modulation filter/compensator -- 4.2. Dynamic Jaw -- 4.3. MLC based -- 4.4. Direct aperture optimization (DAO) -- 4.5. Systems for IMRT5. IMRT, IMAT and VMAT -- 5.1. IMRT -- 5.2. IMAT -- 5.3. Volumetric, modulated arc therapy, VMAT -- 5.4. Outlook6. Intensity modulated planning process -- 6.1. IMRT planning process -- 6.2. Imaging -- 6.3. Target volume -- 6.4. DVH constraints -- 6.5. Inverse planning -- 6.6. MLC sequencing -- 6.7. Transfer and treatment sequencing -- 6.8. Phantom plan -- 6.9. IMRT PSQA -- 6.10. Treatment verification -- 6.11. Record and verification7. Contouring -- 7.1. Contouring for intensity modulation inverse planning -- 7.2. Margins -- 7.3. Motion and contouring -- 7.4. Auto-segmentation8. Treatment planning -- 8.1. Beam (and arc) geometry -- 8.2. The collimator rotation -- 8.3. Non-coplanarity -- 8.4. Flattened and unflattened beams -- 8.5. Modulation degrees and delivery accuracy -- 8.6. The feathering : large field splitting and multi-isocentric setup -- 8.7. Artifact handling -- 8.8. The interplay effect -- 8.9. The neutron production and the whole body dose : beam quality -- 8.10. Conclusions on treatment planning9. Optimization -- 9.1. The inverse planning concept -- 9.2. The goals and the cost function -- 9.3. The optimization objectives -- 9.4. The optimization algorithms -- 9.5. The direct aperture optimization -- 9.6. The biological optimization -- 9.7. Benefit and deficiencies in biological optimization -- 9.8. Robust optimization10. Dose calculation -- 10.1. Required accuracy in dose calculation -- 10.2. Dose calculation algorithms and classification -- 10.3. Type 'a', 'b', 'c' algorithm classification -- 10.4. Dose-to-medium or dose-to-water? -- 10.5. Dose calculation accuracy in various TPS implementations -- 10.6. Fluence to dose and MLC parameters : another source of uncertainty -- 10.7. The out-of-field dose -- 10.8. Dose calculation with metallic objects -- 10.9. Other elements influencing the dose calculation accuracy11. Plan variability -- 11.1. Dosimetric variation : the intra- and inter-planner and planning system sources -- 11.2. Knowledge-based planning -- 11.3. Protocol-based automation -- 11.4. Multi-criteria optimization -- 11.5. MCO, a posteriori -- 11.6. MCO, a priori -- 11.7. Plan variability conclusion12. Quality assurance and verification -- 12.1. Theory of comparison -- 12.2. Silico method -- 12.3. Measurements -- 12.4. Log-file approach -- 12.5. Artificial intelligence -- 12.6. Outlook13. IMRT dose prescription and recording -- 13.1. Planning variability -- 13.2. ICRU-83 guidelines -- 13.3. State of compliance -- 13.4. Essentiality in IMRT14. Tumors of the central nervous system -- 14.1. Epidemiology -- 14.2. Anatomic considerations -- 14.3. Clinical and diagnostic evaluation -- 14.4. Intensity modulated radiation therapy : biologic considerations -- 14.5. Intensity modulated radiation therapy : technical considerations -- 14.6. IMRT for CNS tumors : general considerations -- 14.7. Clinical experience of IMRT in brain tumors -- 14.8. Clinical experience of IMRT in spinal and paraspinal tumors -- 14.9. IMRT for craniospinal irradiation15. Head and neck cancer -- 15.1. Epidemiology -- 15.2. Anatomy -- 15.3. Nasopharyngeal carcinoma : general considerations -- 15.4. IMRT for nasopharyngeal carcinoma -- 15.5. Oropharyngeal carcinoma : general considerations -- 15.6. IMRT for oropharyngeal carcinoma -- 15.7. Carcinoma of the oral cavity : general considerations -- 15.8. IMRT for oral cavity carcinoma -- 15.9. Cancer of the larynx and hypopharynx : general considerations16. Lung cancer -- 16.1. Epidemiology -- 16.2. Anatomy -- 16.3. Lung cancer : general considerations -- 16.4. IMRT for lung cancer17. Breast cancer -- 17.1. Epidemiology -- 17.2. Anatomy -- 17.3. Breast cancer : general considerations -- 17.4. IMRT for breast cancer18. Prostate cancer -- 18.1. Epidemiology -- 18.2. Anatomy -- 18.3. Prostate cancer : general considerations -- 18.4. Prostate cancer IMRT19. Cervical cancer -- 19.1. Epidemiology -- 19.2. Cervical cancer : general considerations -- 19.3. IMRT for cervical cancer20. Summary and outlook -- 20.1. Plan automation, adaptive therapy and artificial intelligence : a glance into the crystal ball -- 20.2. Decision-making artificial intelligence (AI) guided radiotherapy.Intensity modulated radiation therapy (IMRT) has become standard of care for most cancer sites that are managed by radiation therapy. This book documents the evolution of this technology over 35 years to the current level of volumetric arc modulated therapy (VMAT). It covers every aspect of this radiation treatment technology, including the fundamentals of IMRT/VMAT, basic principles and advanced processes for implementation. The physics of IMRT is followed by the clinical application in major disease sites such as central nervous system, head and neck, breast, lung, prostate and cervix. It also provides updated references on each component of IMRT/VMAT. This book is written by leading experts in the field with extensive clinical experience in the practice and implementation of this technology. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.Dosimetrists, physicists, radiation oncologists and researchers.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Indra J Das is currently Vice Chair, Professor and Director of Medical Physics at Northwestern University Feinberg School of Medicine in Chicago. He is serving or served on several journal editorial boards including, International Journal of Radiation Oncology, Biology, Physics, Medical Physics, British Journal of Radiology, and Journal of Radiation Research. Nicholas J Sanfilippo is a radiation oncologist with special interest in treatment of head and neck, thoracic, cutaneous, and genitourinary malignancies. He joined Weill Cornell Medicine in 2018 as Vice Chairman of the Department of Radiation Oncology, Residency Program Director, and Director of Quality Assurance. Antonella Fogliata is a research scientist at the Humanitas Research Hospital in Milan-Rozzano. She teaches many courses covering radiotherapy advanced technologies for medical physicists and clinicians. She serves as associate editor on a number of journals, including Physica Medica. Luca Cozzi was the head of the physics unit at the Oncology Institute of Southern Switzerland and a research scientist at the Humanitas Research Hospital. He has acted also as a Privat Docent at the University of Lausanne, Adjunct Professor at the Humanitas University, and president of the Swiss Society of Radiobiology and Medical Physics.Title from PDF title page (viewed on January 14, 2021).

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Series Title: -
Call Number: -
Publisher: : .,
Collation: 1 online resource (various pagings) :illustrations (some color).
Language: English
ISBN/ISSN: 9780750313353
Classification: 615.849
Content Type: -
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Carrier Type: -
Edition: -
Subject(s): Radiology.
Radiotherapy.
Radiotherapy, Intensity-Modulated.
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Statement of Responsibility: Indra J. Das, Nicholas J. Sanfilippo, Antonella Fogliata, Luca Cozzi.

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