Abstract
Nuclear medicine applies radiation for diagnostic and treatment purposes. X-ray based diagnostics are the working horse of numerous medical fields spanning from dentists to oncology. The contrast mechanisms of this method will be discussed from a physical and technological perspective. Developing this technology from 2 to 3D (tomography) only slightly changes its limits, but widely extends its costs and benefit. Here the external X-ray sources can be replaced by internal radionuclides, which follow metabolic processes, generating a completely new type of contrast. In medical treatment, also external and internal radiation sources are applied. Radiation therapy focusses on oncology applications. A main technological limit for the success of this therapy form lies in the correct application of radiation doses only to tumour tissue. Combining metabolic and diagnostic targeting methods with radiation therapy enables treating a larger range of cases.
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References
E. Bell, F. Grünwald, Radiojodtherapie: bei benignen und malignen Schilddrüsenerkrankungen (Springer, 1999). ISBN 978-3540659136
J.C. Buchsbaum, M.W. McDonald, P.A. Johnstone, T. Hoene, M. Mendonca, C.-W. Cheng, I.J. Das, K.P. McMullen, M.R. Wolanski, Range modulation in proton therapy planning: a simple method for mitigating effects of increased relative biological effectiveness at the end-of-range of clinical proton beams. Radiat. Oncol. 9 (2014). Article number: 2
S.R. Cherry, J.A. Sorenson, M.E. Phelps, Physics in Nuclear Medicine (Saunders, 2012)
R.E. Curtis, J.D. Boice, M. Stovall, L. Bernstein, R.S. Greenberg, J.T. Flannery, A.G. Schwartz, P. Weyer, R.N. Hoover, Risk of Leukemia after chemotherapy and radiation treatment for breast cancer. New Engl. J. Med. 326, 1745–1751 (1992). https://doi.org/10.1056/NEJM199206253262605
W. Eichhorn, H. Tabler, R. Lippold, M. Lochmann, M. Schreckenberger, P. Bartenstein, Prognostic factors determining long-term survival in well-differentiated thyroid cancer: an analysis of four hundred eighty-four patients undergoing therapy and aftercare at the same institution. Thyroid 13(10) (2004). https://doi.org/10.1089/105072503322511355.
A.H. Elgazzar, Orthopedic Nuclear Medicine (Springer, Berlin, Heidelberg, 2004) https://doi.org/10.1007/978-3-642-18790-2
A.B. González, M. Mahesh, K. Kim, M. Bhargavan, R. Lewis, F. Mettler, C. Land, Projected cancer risks from computed tomographic scans performed in the United States in 2007. Arch. Intern. Med. 169(22), 2071–2077 (2009). https://doi.org/10.1001/archinternmed.2009.440
J.H. Hubbell, S.M. Seltzer, NIST Standard Reference Database 126 (1996). Abgerufen am 2019 von https://www.nist.gov/pml/x-ray-mass-attenuation-coefficients
M.L. Iglesias, A. Schmidt, A.A. Ghuzlan, L. Lacroix, F.D. Vathaire, S. Chevillard, M. Schlumberger, Radiation exposure and thyroid cancer: a review. Arch. Endocrinol. Metab. 61(2) (2017). https://doi.org/10.1590/2359-3997000000257 .
A. Koning, et al., TENDL-2015: TALYS-Based Evaluated Nuclear Data Library. Von (2015). Abgerufen https://tendl.web.psi.ch/tendl_2015/tendl2015.html
P. Miller, N. Long, R. Vilar, A.D. Gee, Synthesis of 11C, 18F, 15O, and 13N radiolabels for positron emission tomography. Angew. Chem., 8998–9033 (2008). https://doi.org/10.1002/anie.200800222
National Institute of Standards and Technology, in NIST: Introduction of e-star, p-star, and a-star. Von (2019). Abgerufen https://physics.nist.gov/PhysRefData/Star/Text/intro.html
OECD Nuclear Energy Agency (NEA), in JANIS. Von (2017). Abgerufen https://www.oecd-nea.org/janis/
A. Rahmima, H. Zaidib, PET versus SPECT: strengths, limitations and challenges. Nucl. Med. Commun. 29, 193–207 (2008)
X. Ren, E. Wang, A.D. Skitnevskaya, A.B. Trofimov, K. Gokhberg, A. Dorn, Experimental evidence for ultrafast intermolecular relaxation processes in hydrated biomolecules. Nat. Phys. 14, 1062–1066 (2018). https://doi.org/10.1038/s41567-018-0214-9
M. Rickhey, O. Koelbl, C. Eilles, L. Bogner, A biologically adapted dose-escalation approach demonstrated for 18F-FET-PET in brain tumors. Strahlenther. Onkol. 184, 536–542 (2008). https://doi.org/10.1007/s00066-008-1883-6.
P. Vaupel, L. Harrison, Tumor hypoxia: causative factors, compensatory mechanisms, and cellular response. Oncologist 9(Suppl 5), 4–9 (2004)
T. Weitkamp, A. Diaz, C. David, F. Pfeiffer, M. Stampanoni, P. Cloetens, E. Ziegler, X-ray phase imaging with a grating interferometer. Opt. Exp. 13(16), 6296–6304 (2005). https://doi.org/10.1364/OPEX.13.006296
D.R. White, J. Booz, R.V. Griffith, J.J. Spokas, I.J., Wilson, Report 44, tissue substitutes in radiation dosimetry and measurement. J. Int. Comm. Radiat. Units Meas. 23(1) (1989). https://doi.org/10.1093/jicru/os23.1.Report44
H.Q. Woodard, DR White, The composition of body tissues. Br. J. Radiol. 59(708), 1209–1218 (1986). https://doi.org/10.1259/0007-1285-59-708-1209
R. Zimmermann, Nuclear Medicine—Radioactivity for Diagnosis and Therapy (EDP Science, 2006)
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Möller, S. (2020). Nuclear Medicine. In: Accelerator Technology. Particle Acceleration and Detection. Springer, Cham. https://doi.org/10.1007/978-3-030-62308-1_6
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