Abstract
Identifying clinical volumes in radiotherapy is based on planning computed tomography (CT)
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Levitt SH, Purdy JA, Perez CA, Vijayakumar PC (2006) Technical basis of radiation therapy. Practical clinical applications, 4th rev. edn. Springer-Verlag
Pelizzari CA (1994) Registration of three-dimensional medical image data. ICRU News 1:4–14
Kessler ML, Pitluck S, Petti P, Castro JR (1991) Integration of multimodality imaging data for radiotherapy treatment planning. Int J Radiat Oncol Biol Phys 21:1653–1667
Khoo VS, Joon DL (2006) New developments in MRI for target volume delineation in radiotherapy. Br J Radiol 79:S2–S15
Hill DLG, Batchelor PG, Holden M, Hawkes DJ (2001) Medical image registration. Phys Med Biol 46:R1–R45
Khan FM, Gerbi BJ (2012) Treatment planning in radiation oncology, 3rd edn. Wolters Kluwer/Lippincott William & Wilkins, Philadelphia
Ashamalla H, Addeo D, Ikoro NC et al (2003) Commissioning and clinical results utilizing the Gildenbergy-Laitinen adapter device for X-ray in fractionated stereotactic radiotherapy. Int J Radiat Oncol Biol Phys 56:592–598
Bova FJ, Meeks SL, Friedman WA et al (1998) Opticguided stereotactic radiotherapy. Med Dosim 23:221–228
Kai J, Shiomi H, Sasama T et al (1998) Optical highprecision three-dimensional position measurement system suitable for head motion tracking in frameless stereotactic radiosurgery. Comput Aided Surg 3:257–263
Chang SD, Adler JR (2001) Robotics and radiosurgery: the CyberKnife. Stereotact Funct Neurosurg 76:204–208
Yin FF, Zhu J, Yan H et al (2002) Dosimetric characteristics of Novalis shaped beam surgery unit. Med Phys 29:1729–1738
Senan S, De Ruysscher D, Giraud P et al, for the Radi otherapy Group, European Organization for Research and Treatment of Cancer (EORTC) (2004) Literaturebased recommendations for treatment planning and execution in high-dose radiotherapy for lung cancer. Radiother Oncol 7:139–146
Workmanns D, Diederich S, Lentschig MG et al (2000) Spiral CT of pulmonary nodules: interobserver variations in assessment of lesion size. Eur Radiol 10:710–713
Armstrong J, Mc Gibney C (2000) The impact of three-dimensional radiation on the treatment of non-small cell lung cancer. Radiother Oncol 56:157–167
Lagerwaard FJ, Van Sornsen de Koste JR, Nijssen-Visser MR et al (2001) Multiple slow CT scans for incorporating lung tumor mobility in radiotherapy planning. Int J Radiat Oncol Biol Phys 51: 932–937
Harris KM, Adams H, Lloyd DC, Harvey DJ (1993) The effect on apparent size of simulated pulmonary nodules of using three standard CT window settings. Clin Radiol 47:241–244
Giraud P (2000) Influence of CT image visualization parameters for target volume delineation in lung cancer. Proceedings of 19th ESTRO Istanbul 2000. Radiother Oncol S39
Ausili-Cefaro G, Genovesi D, Perez CA, Vinciguerra A (2008) A guide for delineation of lymph nodal clinical target volume in radiation therapy. Springer-Verlag, New York
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Cefaro, G.A., Genovesi, D., Perez, C.A. (2013). Volumetric Acquisition: Technical Notes. In: Delineating Organs at Risk in Radiation Therapy. Springer, Milano. https://doi.org/10.1007/978-88-470-5257-4_7
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DOI: https://doi.org/10.1007/978-88-470-5257-4_7
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