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Journal articles on the topic 'Bestralingstherapie. Planning. Magnetic Resonance Imaging'

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Published: 4 June 2021
Last updated: 19 February 2022

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1

Moerland, Marinus A. "Magnetic resonance imaging in radiotherapy treatment planning." Medical Physics 24, no. 2 (1997): 336. http://dx.doi.org/10.1118/1.598085.

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2

Andrews, David E. "Site planning for nuclear magnetic resonance imaging." Cardiovascular and Interventional Radiology 8, no. 5-6 (1986): 390–93. http://dx.doi.org/10.1007/bf02552376.

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3

Hemingway, Maureen, and Marguerite Kilfoyle. "Safety Planning for Intraoperative Magnetic Resonance Imaging." AORN Journal 98, no. 5 (2013): 508–24. http://dx.doi.org/10.1016/j.aorn.2013.09.002.

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4

Sefrova, Jana, Karel Odrazka, Petr Paluska, et al. "Magnetic Resonance Imaging in Postprostatectomy Radiotherapy Planning." International Journal of Radiation Oncology*Biology*Physics 82, no. 2 (2012): 911–18. http://dx.doi.org/10.1016/j.ijrobp.2010.11.004.

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5

Beriwal, S., H. Kim, D. Coon, et al. "Single Magnetic Resonance Imaging vs Magnetic Resonance Imaging/Computed Tomography Planning in Cervical Cancer Brachytherapy." Clinical Oncology 21, no. 6 (2009): 483–87. http://dx.doi.org/10.1016/j.clon.2009.03.007.

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6

Villeirs, GM, and GO De Meerleer. "Magnetic resonance imaging anatomy of the prostate and application of magnetic resonance imaging in radiotherapy planning." Clinical Imaging 32, no. 2 (2008): 162. http://dx.doi.org/10.1016/j.clinimag.2008.01.015.

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7

Liney, Gary P., and Marinus A. Moerland. "Magnetic Resonance Imaging Acquisition Techniques for Radiotherapy Planning." Seminars in Radiation Oncology 24, no. 3 (2014): 160–68. http://dx.doi.org/10.1016/j.semradonc.2014.02.014.

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8

Schulder, Michael, Jose Vega, Venkat Narra, et al. "Functional Magnetic Resonance Imaging and Radiosurgical Dose Planning." Stereotactic and Functional Neurosurgery 73, no. 1-4 (1999): 38–44. http://dx.doi.org/10.1159/000029749.

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9

Neschis, David G., and Ronald M. Fairman. "Magnetic resonance imaging for planning aortic endograft procedures." Seminars in Vascular Surgery 17, no. 2 (2004): 135–43. http://dx.doi.org/10.1053/j.semvascsurg.2004.03.006.

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10

Liu, Wen-Ching, Michael Schulder, Venkat Narra, et al. "Functional magnetic resonance imaging aided radiation treatment planning." Medical Physics 27, no. 7 (2000): 1563–72. http://dx.doi.org/10.1118/1.599022.

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11

Lombardi, Pamela, James C. Carr, Bradley D. Allen, and Robert R. Edelman. "Updates in Magnetic Resonance Venous Imaging." Seminars in Interventional Radiology 38, no. 02 (2021): 202–8. http://dx.doi.org/10.1055/s-0041-1729152.

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AbstractFor years, magnetic resonance angiography (MRA) has been a leading imaging modality in the assessment of venous disease involving the pelvis and lower extremities. Current advancement in noncontrast MRA techniques enables imaging of a larger subset of patients previously excluded due to allergy or renal insufficiency, allowing for preintervention assessment and planning. In this article, the current status of MR venography, with a focus on current advancements, will be presented. Protocols and parameters for MR venographic imaging of the pelvis and lower extremities, including contrast
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12

KASHIMURA, Hiroshi, Kuniaki OGASAWARA, Hiroshi ARAI, et al. "Fusion of Magnetic Resonance Angiography and Magnetic Resonance Imaging for Surgical Planning for Meningioma." Neurologia medico-chirurgica 48, no. 9 (2008): 418–22. http://dx.doi.org/10.2176/nmc.48.418.

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13

Dirix, Piet, Karin Haustermans, and Vincent Vandecaveye. "The Value of Magnetic Resonance Imaging for Radiotherapy Planning." Seminars in Radiation Oncology 24, no. 3 (2014): 151–59. http://dx.doi.org/10.1016/j.semradonc.2014.02.003.

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14

Arriaga, Moises, David Carrier, Phyllis Chapel, and Richard Kluznick. "MAGNETIC RESONANCE IMAGING IN SURGICAL PLANNING FOR COCHLEAR IMPLANTATION." Southern Medical Journal 86, Supplement (1993): 90. http://dx.doi.org/10.1097/00007611-199309001-00241.

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15

Vlieger, Erik-Jan, Charles B. Majoie, Sieger Leenstra, and Gerard J. den Heeten. "Functional magnetic resonance imaging for neurosurgical planning in neurooncology." European Radiology 14, no. 7 (2004): 1143–53. http://dx.doi.org/10.1007/s00330-004-2328-y.

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16

Albert, Jeffrey M., David A. Swanson, Thomas J. Pugh, et al. "Magnetic resonance imaging-based treatment planning for prostate brachytherapy." Brachytherapy 12, no. 1 (2013): 30–37. http://dx.doi.org/10.1016/j.brachy.2012.03.009.

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17

Freedman, Joshua N., David J. Collins, Hannah Bainbridge, et al. "T2-Weighted 4D Magnetic Resonance Imaging for Application in Magnetic Resonance–Guided Radiotherapy Treatment Planning." Investigative Radiology 52, no. 10 (2017): 563–73. http://dx.doi.org/10.1097/rli.0000000000000381.

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18

Maheshwari, Ekta, Gitanjali Bajaj, Kedar Jambhekar, Tarun Pandey, and Roopa Ram. "Magnetic Resonance Imaging of Rectal Cancer." Journal of Gastrointestinal and Abdominal Radiology 02, no. 01 (2019): 018–32. http://dx.doi.org/10.1055/s-0039-1683772.

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AbstractHigh-resolution magnetic resonance imaging (MRI) plays a pivotal role in the pretreatment assessment of primary rectal cancer. The success of this technique depends on obtaining good-quality high-resolution T2-weighted images of the primary tumor, orthogonal to rectal lumen. The goal of magnetic resonance staging is to identify patients who will benefit from neoadjuvant therapy prior to surgery to minimize postoperative recurrence and planning of optimal surgical approach. MRI also facilitates optimal identification of important prognostic factors, which improves both treatment selecti
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19

Goscin, Christopher P., Claudia G. Berman, and Robert A. Clark. "Magnetic Resonance Imaging of the Breast." Cancer Control 8, no. 5 (2001): 399–406. http://dx.doi.org/10.1177/107327480100800502.

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Background Magnetic resonance imaging (MRI) has the potential to become a useful adjunct in breast imaging. Contrast-enhanced breast MRI has demonstrated a high sensitivity in the detection of invasive breast cancer. In clinical studies, breast MRI has often altered the course of patient care. Although promising results have been generated, MRI of the breast is currently in a development stage. Methods The authors reviewed the literature on the potential indications, sensitivity, specificity, and limitations of MRI of the breast. Results Reported advantages of MRI of the breast over convention
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20

Lantos, George, Fred Epstein, and Leslie A. Kory. "Magnetic Resonance Imaging of Intradural Spinal Lipoma." Neurosurgery 20, no. 3 (1987): 469–72. http://dx.doi.org/10.1227/00006123-198703000-00020.

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Abstract Intradural lipomas are rare tumors of the spinal canal. We report the occurrence of this neoplasm in a 19-year-old girl. Magnetic resonance accurately depicted both the exact location within the spinal canal and the precise tumor histology and was more informative than myelography. This case illustrates the value of magnetic resonance imaging in patients presenting with myelopathy. In many instances, this modality may be all that is needed in preoperative planning.
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21

Payne, Geoffrey, Elizabeth Charles-Edwards, and Christopher South. "Applications of Computed Tomography, Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Planning External Beam Radiotherapy." Current Medical Imaging Reviews 4, no. 4 (2008): 236–49. http://dx.doi.org/10.2174/157340508786404071.

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22

Zoccatelli, Giada, Franco Alessandrini, Alberto Beltramello, and Andrea Talacchi. "Advanced magnetic resonance imaging techniques in brain tumours surgical planning." Journal of Biomedical Science and Engineering 06, no. 03 (2013): 403–17. http://dx.doi.org/10.4236/jbise.2013.63a051.

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23

Yoo, Ji Hwan, Jeong Yoon Park, Dong-Kyu Chin, Kyung Hyun Kim, Sung Uk Kuh, and Yong Eun Cho. "Suitability of Cervical Oblique Magnetic Resonance Imaging for Surgical Planning." Nerve 4, no. 2 (2018): 50–54. http://dx.doi.org/10.21129/nerve.2018.4.2.50.

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24

Zaider, Marco, Michael J. Zelefsky, Eva K. Lee, et al. "Treatment planning for prostate implants using magnetic-resonance spectroscopy imaging." International Journal of Radiation Oncology*Biology*Physics 47, no. 4 (2000): 1085–96. http://dx.doi.org/10.1016/s0360-3016(00)00557-5.

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25

Ballangrud, Åse M., Stella Lymberis, Sunitha B. Thakur, et al. "Magnetic resonance spectroscopy imaging in radiotherapy planning for recurrent gliomaa)." Medical Physics 38, no. 5 (2011): 2724–30. http://dx.doi.org/10.1118/1.3574884.

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26

Merchant, Thomas E., Huug Obertop, and Peter W. de Graaf. "Advantages of magnetic resonance imaging in breast surgery treatment planning." Breast Cancer Research and Treatment 25, no. 3 (1993): 257–64. http://dx.doi.org/10.1007/bf00689840.

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27

Dunne, Sadie, and Amanda Gee. "Supine magnetic resonance (MR) mammography in radiotherapy planning." Radiography 5, no. 4 (1999): 211–14. http://dx.doi.org/10.1016/s1078-8174(99)90053-6.

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28

Filippi, M. "Enhanced magnetic resonance imaging in multiple sclerosis." Multiple Sclerosis Journal 6, no. 5 (2000): 320–26. http://dx.doi.org/10.1177/135245850000600505.

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Gadolinium-enhanced magnetic resonance imaging (MRI) is very sensitive in the detection of active lesions of multiple sclerosis (MS) and has become a valuable tool to monitor the evolution of the disease either natural or modified by treatment. In the past few years, several studies, on the one hand, have assessed several ways to increase the sensitivity of enhanced MRI to disease activity and, on the other, have investigated in vivo the nature and evolution of enhancing lesions using different non-conventional MR techniques to better define the relationship between enhancement and tissue loss
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29

Bulakbasi, N., O. Onguru, E. Erdogan, S. Ilkbahar, and M. Kocaoglu. "Magnetic Resonance Imaging Characteristics of a Gliosarcoma." Rivista di Neuroradiologia 18, no. 1 (2005): 59–63. http://dx.doi.org/10.1177/197140090501800109.

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In this case report, we define THE MR characteristics of a gliosarcoma surgically removed from the left cerebral hemisphere of a 67-year-old man who presented with right hemiparesis and headache. The tumor was located in the gray-white matter interface abutting the dural surface. It showed slightly high signal on T2-weighted images with hemorrhagic and necrotic components and irregular ring-like enhancement on post-contrast T1-weighted images. Apparent diffusion coefficient of the tumor was measured as 1.09 × 10−3 cm2/s. Tumoral and peritumoral cerebral blood volume (rCBV) ratios were calculat
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30

Hänninen, E. L., M. Pech, S. Jonas, et al. "Magnetic resonance imaging including magnetic resonance cholangiopancreatography for tumor localization and therapy planning in malignant hilar obstructions." Acta Radiologica 46, no. 5 (2005): 462–70. http://dx.doi.org/10.1080/02841850510021625.

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Purpose: To assess image quality and overall accuracy of magnetic resonance imaging (MRI), including two magnetic cholangiopancreatography (MRCP) techniques, for the diagnostics and preoperative work-up of malignant hilar obstructions. Material and Methods: Thirty-one patients with malignant hilar obstructions (hilar cholangiocarcinoma, n = 30; hepatocellular carcinoma, n = 1) received MRCP by two techniques (single-shot thick-slab and multisection thin-slice MRCP) and unenhanced and contrast material-enhanced MRI. MR assessment included the evaluation of image quality and visualization of bil
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31

Yarmish, Gail, and Michael L. Lipton. "Functional Magnetic Resonance Imaging: From Acquisition to Application." Einstein Journal of Biology and Medicine 20, no. 1 (2016): 2. http://dx.doi.org/10.23861/ejbm200320103.

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Functional magnetic resonance imaging (fMRI) is a technique that exploits magnetic resonance imaging (MRI) to detect regional brain activity through measurement of the hemodynamic response that is coupled to electrical neuronal activity. The most common fMRI method detects blood oxygen level dependent (BOLD) contrast. The BOLD effect represents alteration in the ratio of deoxygenated to oxygenated hemoglobin within brain tissue following neuronal activity. Alterations in this hemoglobin ratio result from changes in cerebral oxygen extraction, cerebral blood flow, and cerebral blood volume that
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32

Carpenter, Adam P., Lawrence M. Leemis, Alan S. Papir, David J. Phillips, and Grace S. Phillips. "Managing magnetic resonance imaging machines: support tools for scheduling and planning." Health Care Management Science 14, no. 2 (2011): 158–73. http://dx.doi.org/10.1007/s10729-011-9153-z.

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33

Krempien, Robert C., Kai Schubert, Dietmar Zierhut, et al. "Open low-field magnetic resonance imaging in radiation therapy treatment planning." International Journal of Radiation Oncology*Biology*Physics 53, no. 5 (2002): 1350–60. http://dx.doi.org/10.1016/s0360-3016(02)02886-9.

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34

Khoo, Vincent S., David P. Dearnaley, David J. Finnigan, Anwar Padhani, Steven F. Tanner, and Martin O. Leach. "Magnetic resonance imaging (MRI): considerations and applications in radiotherapy treatment planning." Radiotherapy and Oncology 42, no. 1 (1997): 1–15. http://dx.doi.org/10.1016/s0167-8140(96)01866-x.

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35

Gabriel, Meredith, Nicole P. Brennan, Kyung K. Peck, and Andrei I. Holodny. "Blood Oxygen Level Dependent Functional Magnetic Resonance Imaging for Presurgical Planning." Neuroimaging Clinics of North America 24, no. 4 (2014): 557–71. http://dx.doi.org/10.1016/j.nic.2014.07.003.

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36

Knudsen, Lina Merete M., та Anne Moen. "Practical Planning to Maintain Premature Infantsʼ Safety During Magnetic Resonance Imaging". Advances in Neonatal Care 15, № 1 (2015): 23–37. http://dx.doi.org/10.1097/anc.0000000000000142.

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37

&NA;. "Practical Planning to Maintain Premature Infantsʼ Safety During Magnetic Resonance Imaging". Advances in Neonatal Care 15, № 1 (2015): E1—E2. http://dx.doi.org/10.1097/anc.0000000000000163.

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38

Lau, Jonathan C., Suzanne E. Kosteniuk, Frank Bihari, and Joseph F. Megyesi. "Functional Magnetic Resonance Imaging for Preoperative Planning in Brain Tumour Surgery." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 44, no. 1 (2016): 59–68. http://dx.doi.org/10.1017/cjn.2016.306.

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AbstractBackground: Functional magnetic resonance imaging (fMRI) is being increasingly used for the preoperative evaluation of patients with brain tumours. Methods: The study is a retrospective chart review investigating the use of clinical fMRI from 2002 through 2013 in the preoperative evaluation of brain tumour patients. Baseline demographic and clinical data were collected. The specific fMRI protocols used for each patient were recorded. Results: Sixty patients were identified over the 12-year period. The tumour types most commonly investigated were high-grade glioma (World Health Organiza
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39

Lee, Y. "Radiotherapy treatment planning of prostate cancer using magnetic resonance imaging alone." Radiotherapy and Oncology 66, no. 2 (2003): 203–16. http://dx.doi.org/10.1016/s0167-8140(02)00440-1.

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40

Laino, Maria Elena, Robert Young, Kathryn Beal, et al. "Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning." BJR|Open 2, no. 1 (2020): 20190026. http://dx.doi.org/10.1259/bjro.20190026.

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The reprogramming of cellular metabolism is a hallmark of cancer diagnosis and prognosis. Proton magnetic resonance spectroscopic imaging (MRSI) is a non-invasive diagnostic technique for investigating brain metabolism to establish cancer diagnosis and IDH gene mutation diagnosis as well as facilitate pre-operative planning and treatment response monitoring. By allowing tissue metabolism to be quantified, MRSI provides added value to conventional MRI. MRSI can generate metabolite maps from a single volume or multiple volume elements within the whole brain. Metabolites such as NAA, Cho and Cr,
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41

Suchyta, Marissa A., Waleed Gibreel, Christopher H. Hunt, Krzysztof R. Gorny, Matthew A. Bernstein, and Samir Mardini. "Using Black Bone Magnetic Resonance Imaging in Craniofacial Virtual Surgical Planning." Plastic and Reconstructive Surgery 141, no. 6 (2018): 1459–70. http://dx.doi.org/10.1097/prs.0000000000004396.

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42

Barkati, M., G. Delouya, D. Simard, and D. Taussky. "Is Magnetic Resonance Imaging for Prostate Bed Radiation Therapy Planning Useful?" International Journal of Radiation Oncology*Biology*Physics 93, no. 3 (2015): E564—E565. http://dx.doi.org/10.1016/j.ijrobp.2015.07.1992.

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43

Bauer, Stefan, Lucas E. Ritacco, Chris Boesch, Lutz-P. Nolte, and Mauricio Reyes. "Automatic Scan Planning for Magnetic Resonance Imaging of the Knee Joint." Annals of Biomedical Engineering 40, no. 9 (2012): 2033–42. http://dx.doi.org/10.1007/s10439-012-0552-1.

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44

Gurdal, Sibel Ozkan, Beyza Ozcinar, Munire Kayahan, et al. "The incremental value of magnetic resonance imaging for breast surgery planning." Surgery Today 43, no. 1 (2012): 55–61. http://dx.doi.org/10.1007/s00595-012-0137-5.

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45

Manenti, Guglielmo, Mario Raguso, Silvia D'Onofrio, et al. "Pancoast Tumor: The Role of Magnetic Resonance Imaging." Case Reports in Radiology 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/479120.

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We report imaging techniques in the definition of the therapeutic planning of a 65-year-old man with a diagnosis of Pancoast tumor. Computed Tomography has a pivotal role in the assessment of nodes involvement and distant metastasis. Magnetic Resonance allows a detailed study of locoregional extension for its high soft tissue resolution. We particularly highlight the actual importance of Magnetic Resonance Neurography, Diffusion-Weighted Imaging, and Magnetic Resonance Angiography techniques in the assessment of the superior sulcus vascular and nervous structures involvement. Their integrity h
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46

Jung, Sang Hoon, Jinsung Kim, Yoonsun Chung, et al. "Magnetic resonance image-based tomotherapy planning for prostate cancer." Radiation Oncology Journal 38, no. 1 (2020): 52–59. http://dx.doi.org/10.3857/roj.2020.00101.

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47

Cao, Yue, Pia C. Sundgren, Christina I. Tsien, Thomas T. Chenevert, and Larry Junck. "Physiologic and Metabolic Magnetic Resonance Imaging in Gliomas." Journal of Clinical Oncology 24, no. 8 (2006): 1228–35. http://dx.doi.org/10.1200/jco.2005.04.7233.

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Magnetic resonance (MR) imaging provides excellent soft tissue differentiation and in vivo assessment of physiologic and metabolic properties of tissue. As new and more aggressive treatment modalities and combined modalities are being investigated for brain tumor treatment, it is becoming more important to accurately define tumor volumes for treatment planning, to determine the most aggressive tumor regions for intensified radiation treatment, to identify early regional response to therapy for reoptimization of treatment, and to detect early indicators of developing normal tissue toxicity. Rea
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48

Lusk, Rodney P., and Phillip C. Lee. "Magnetic Resonance Imaging of Congenital Midline Nasal Masses." Otolaryngology–Head and Neck Surgery 95, no. 3_part_1 (1986): 303–6. http://dx.doi.org/10.1177/01945998860953p107.

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Congenital midline nasal masses are rare lesions with potential intracranial extensions. Thus, thoughtful preoperative evaluation Is essential in planning the appropriate surgical approach, to prevent such complications as cerebral spinal fluid leaks and meningitis. Preoperative computerized tomographic (CT) scans are useful in visualizing bony defects, but are not well suited for soft tissue imaging. Magnetic resonance imaging (MRI) Is the latest advance in cross-sectional imaging technology. It offers superior soft tissue contrast, is noninvasive, and does not use ionizing radiation. It is p
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49

Payne, G. S., and M. O. Leach. "Applications of magnetic resonance spectroscopy in radiotherapy treatment planning." British Journal of Radiology 79, special_issue_1 (2006): S16—S26. http://dx.doi.org/10.1259/bjr/84072695.

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50

Cobben, David C. P., Hans C. J. de Boer, Rob H. Tijssen, et al. "Emerging Role of MRI for Radiation Treatment Planning in Lung Cancer." Technology in Cancer Research & Treatment 15, no. 6 (2016): NP47—NP60. http://dx.doi.org/10.1177/1533034615615249.

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Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast and allows for specific scanning sequences to optimize differentiation between various tissue types and properties. Moreover, it offers the potential for real-time motion imaging. This makes magnetic resonance imaging an ideal candidate imaging modality for radiation treatment planning in lung cancer. Although the number of clinical research protocols for the application of magnetic resonance imaging for lung cancer treatment is increasing ( www.clinicaltrials.gov ) and the magnetic resonance imaging sequences are becomin
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