Recent Advances in Radiotherapy Treatment Planning

References

• Kramer S. Tumor extent as a determining factor in radiotherapy of glioblastomas. Acta Radiol 1959; 8: 111–117
   Google Scholar
• Salazar O M, Rubin P. The spread of glioblastoma multiforme as a determining factor in the radiation treated volume. Int J Radiat Oncol Biol Phys 1976; 1: 627–637
   PubMed Web of Science ®Google Scholar
• Tepper J E, Padikal TN. The role of computed tomography in treatment planning. Radiation Therapy Planning, NM. Bleehen, E. Glatstein, JL. Haybittle. Marcel Dekker Inc., New York 1983; 139–158
   Google Scholar
• Suit H D, Westgate SJ. Impact of improved local control on survival. Int J Radiat Oncol Biol Phys 1986; 12: 453–458
   PubMed Web of Science ®Google Scholar
• Coleman CN. Hypoxic radiosensitizers: Expectations and progress in drug development. Int J Radiat Oncol Biol Phys 1985; 11: 323–329
   PubMed Web of Science ®Google Scholar
• Suit H D, Tepper JE. Impact of improved local control on survival in patients with soft tissue sarcoma. Int J Radiat Oncol Biol Phys 1986; 12: 699–700
   PubMed Web of Science ®Google Scholar
• Goitein M. The utility of computed tomography in radiation therapy: An estimate of outcome. Int J Radiat Oncol Biol Phys 1979; 5: 1799–1807
   PubMed Web of Science ®Google Scholar
• Perez C A, Bauer M, Edelstein S, et al. Impact of tumor control on survival in carcinoma of the lung treated with irradiation. Int J Radiat Oncol Biol Phys 1986; 12: 539–547
   PubMed Web of Science ®Google Scholar
• Million R R, Cassisi NJ. Major salivary gland tumors. Management of Head and Neck Cancer A Multidisciplinary Approach, RR Million, NJ Cassisi. J.B. Lippincott Co., Philadelphia 1984; 541
   Google Scholar
• Saunders W, Chin LM. Innovative techniques: Dynamic therapy and utilization of noncoplanar beams. Syllabus: A Categorical Course in Radiation Therapy Treatment Planning, BR Paliwal, ML Griem. RSNA, Division of Editorial and Publishing Services, Oak Brook, IL 1986; 123–128
   Google Scholar
• Lichter AS. Clinical practice of modern radiation therapy treatment planning. Syllabus: A Categorical Course in Radiation Therapy Treatment Planning, BR Paliwal, ML Griem. RSNA, Division of Editorial and Publishing Services, Oak Brook, IL 1986; 7–12
   Google Scholar
• Bauer-Kirpes B, Schlegel W, Boesecke R, et al. Display or organs and isodoses as shaded 3-D objects of 3-D therapy planning. Int J Radiat Oncol Biol Phys 1987; 13: 135–140
   PubMed Web of Science ®Google Scholar
• Marks J E, Bedwinek J M, Lee F, et al. Dose-response analysis for nasopharyngeal carcinoma. Cancer 1982; 50: 1042–1050
   PubMed Web of Science ®Google Scholar
• Doss LL. Localization error and local recurrence in upper airway carcinoma. Proceedings of the Workshop on Quality Control in a Radiotherapy Department., LE Reinstein. CALGB, New York 1979
   Google Scholar
• Perez C A, Stanley K, Grundy G, et al. Impact of radiation technique and tumor extent in tumor control and survival of patients with unresectable non-oat cell carcinoma of the lung: Report by the RTOG. Cancer 1982; 50: 1091–1099
   PubMed Web of Science ®Google Scholar
• White J E, Chen T, McCracken J, et al. The influence of radiation therapy quality control on survival, response and sites of relapse in oat cell carcinoma of the lung. Cancer 1982; 50: 1084–1090
   PubMed Web of Science ®Google Scholar
• Marks J E, Haus A G, Sutton HG, et al. Localization error in the radiotherapy of Hodgkin's disease and malignant lymphoma with extended mantle fields. Cancer 1974; 43: 83–90
   Google Scholar
• Kinzie J J, Hanks G E, Maclean CJ, et al. Patterns of care study: Hodgkin's disease, relapse rates and adequacy of portals. Cancer 1983; 52: 2223–2226
   PubMed Web of Science ®Google Scholar
• Boyer AL. Patient positioning and immobilization devices. In Radiation Oncology Physics-1986 AAPM Monograph No. 15, JG Kereiakes, HR Elson, CG Born. American Institute of Physics, New York 1987; 438–446
   Google Scholar
• Sherouse G W, Bourland J D, Reynolds K, et al. Virtual simulation in the clinical setting: Some practical considerations. Int J Radiat Oncol Biol Phys, in press
   Web of Science ®Google Scholar
• Byhardt R W, Cox J D, Hornburg A, et al. Weekly localization films and detection of field placement error. Int J Radiat Oncol Biol Phys 1978; 4: 881–887
   PubMed Web of Science ®Google Scholar
• Marks J E, Haus A G, Sutton HG, et al. The value of frequent treatment verification films in reducing localization error in the irradiation of complex files. Cancer 1976; 37: 2755–2761
   PubMed Web of Science ®Google Scholar
• Amols H I, Reinstein L E, Lagueux B. A quantitative assessment of portal film contrast as a function of beam energy. Med Phys 1986; 13: 711–716
   PubMed Web of Science ®Google Scholar
• Reinstein L E, Durham M, Teft M, et al. Portal film quality: A multiple institutional study. Med Phys 1984; 11: 555–557
   PubMed Web of Science ®Google Scholar
• Droege R T, Bjarngard BE. Influence of metal screens on contrast in megavoltage x-ray imaging. Med Phys 1979; 6: 487–492
   PubMedGoogle Scholar
• Galkin B M, Wu R K, Suntharlingam N. Improved technique for obtaining teletherapy portal radiographs with high-energy photons. Radiology 1978; 127: 828–830
   PubMed Web of Science ®Google Scholar
• Wolf J N, Kalisher L, Considine B. Cobalt-60 treatment field verification by xeroradiography. Am J Roentgenol 1973; 118: 916–918
   Web of Science ®Google Scholar
• Fingerhut A G, Fountinelle PM. Xeroradiography in a radiation therapy department. Cancer 1974; 34: 78–82
   PubMed Web of Science ®Google Scholar
• Reinstein L E, Orton CG. Contrast enhancement of high energy radiotherapy films. Br J Rad 1979; 52: 880–887
   PubMed Web of Science ®Google Scholar
• Biggs R J, Goitein M, Russell MD. A diagnostic x-ray field verification device for 10 MV linear accelerator. Int J Radiat Oncol Biol Phys 1985; 11: 635–643
   PubMed Web of Science ®Google Scholar
• Cox J D, Azarnia N, Byhardt RW, et al. Hyperfractionated radiation therapy (1.2 Gy b.i.d.) with 69.6 Gy total dose increases survival in favorable patients with stage III non-small cell carcinoma of the lung. Report of RTOG 83–11. Proc ASCO 1989; 8: 220
   Google Scholar
• Mah K, Van Dyk J, Keane T, et al. Acute radiation-induced pulmonary damage: A clinical study on the response to fractionated radiation therapy. Int J Radiat Oncol Biol Phys 1987; 13: 179–188
   PubMed Web of Science ®Google Scholar
• Tepper J E, Cohen A M, Wood WC, et al. Postoperative radiation therapy of rectal cancer. Int J Radiat Oncol Biol Phys 1987; 13: 5–10
   PubMed Web of Science ®Google Scholar
• Goitein M. Limitations of two-dimensional treatment planning programs. Med Phys 1982; 4: 580–586
   Google Scholar
• Computed Tomography in Radiation Therapy, CC Ling, CC Rogers, RJ Morton. Raven Press, New York 1983
   Google Scholar
• Goitein M, Suit Gragoudas H D, et al. Potential for low LET charged particle radiation therapy in cancer. Rad Res 1985; 104: S297–309
   Web of Science ®Google Scholar
• Chen G TY, Verhy LJ. Charged particle dosimetry. Radiation Oncology Physics 1986, JG. Kereiakes, HR. Elson, CG. Born. American Institute of Physics, New York 1987; 393–426, AAPM Monograph No. 15.
   Google Scholar
• Austin-Seymour M, Munzenrider J E, Goitein M, et al. Progress in low LET heavy particle therapy: Intracranial and paracranial tumors and uveal melanomas. Rad Res 1985; 104: S219–226
   Web of Science ®Google Scholar
• Reinstein L E, McShan D, Webber B M, Glicksman AS. A computer assisted three-dimensional treatment planning system. Radiology 1978; 127: 259–264
   PubMed Web of Science ®Google Scholar
• Glatstein E, Lichter A S, Fraass BA, et al. The imaging revolution and radiation oncology: Use of CT, ultrasound, and NMR for localization, treatment planning and treatment delivery. Int J Radiat Oncol Biol Phys 1985; 11: 299–314
   PubMed Web of Science ®Google Scholar
• Goitein M, Abrams M. Multi-dimensional treatment planning: I. Delineation of anatomy. Int J Radiat Oncol Biol Phys 1983; 9: 777–787
   PubMed Web of Science ®Google Scholar
• Goitein M, Abrams M, Rowell D, et al. Multi-dimensional treatment planning: II. Beam's eye-view, back projection, and projection through CT sections. Int J Radiat Oncol Biol Phys 1983; 9: 789–797
   PubMed Web of Science ®Google Scholar
• Dahlin H, Lamm I L, Landberg T, et al. User requirements on CT-based computed dose planning systems in radiation therapy: Presentation of ‘check lists.’ Comp Programs Biomed. 1983; 16: 131–138
   Google Scholar
• Houlard J P, Dutreix A. 3D display of radiotherapy treatment plans. Proceedings of the 8th International Conference on the Use of Computers in Radiotherapy. Elsevier Science Publishers, North Holland 1984; 219
   Google Scholar
• Galvin J M, Turrisi A T, Cheng E. Treatment simulation using a CT unit. Radiation Oncology Physics–1986, JG. Kereiakes, HR. Elson, CG. Born. American Institute of Physics, New York 1987; 462–478, AAPM Monograph No. 15.
   Google Scholar
• Nagata Y, Nishidai T, Abe M, et al. CT simulator: A new treatment planning system for radiotherapy. Int J Radiat Oncol Biol Phys 1987; 13: 176, suppl, abstr
   Google Scholar
• Moohan R, Barest G, Brewster L, et al. A comprehensive three-dimensional radiation treatment planning system. Int J Radiat Oncol Biol Phys 1987; 15: 481–495
   Web of Science ®Google Scholar
• Kalet I J, Jacky JP. A research-oriented treatment planning program system. Comput Prog Biomed 1982; 14: 85–98
   PubMedGoogle Scholar
• Rosenman J, Sherouse G W, Chaney EL, et al. Virtual simulation: Initial clinical results. Int J Radiat Oncol Biol Phys, in press
   Web of Science ®Google Scholar
• Mills P H, Fuchs H, Pizer S M, Rosenman JG. IMEX: A tool for image display and contour mangement in a windowing environment. Proc SPIE 1989; 1091, R132–142
   Google Scholar
• Unser M, Eden M. Multiresolution feature extraction and solution for texture segmentation. IEEE Transact Pattern Anal Machine Intell 1989; 11: 717–727
   Web of Science ®Google Scholar
• Banks G, Vries J K, McLinden S. Radiologic automated diagnosis (RAD). Proceedings of the Tenth Annual Symposium on Computer Applications in Medical Care, MF. Orthner. IEEE Computer Society Press, New York 1986; 228–239
   Google Scholar
• Pizer S M, Gauch J, Lifshitz LM. Interactive 2D and 3D object definition in medical images based on multiresolution image description. SPIE 1988; 914: 438–444
   Google Scholar
• Coggins JM. Computer-aided object definition from digital images. Future Directions of Computer-Aided Radiotherapy. National Cancer Institute, Bethesda, MD, AAPM Monograph San Antonio, Texas, August 13 1988 Sponsored by: Radiation Research Program, Division of Cancer Institute
   Google Scholar
• Sherouse G W, Novins K, Chaney EL. Computation of digitally reconstructed radiographs for use in radiotherapy treatment design. Int J Radiat Oncol Biol Phys, 17, in press
   Google Scholar
• Sherouse G W, Mosher C E, Novins K, . Virtual simulation: Concept and implementation. Proceedings of the 9th International Conference on the Use of Computers in Radiation Therapy., AD. Bruinvis, PH. van der Giessen, HJ. van Kleffens, FW. Wittkämper, et al. Elsevier Science Publishers B.V., Amsterdam 1987; 433–436
   Google Scholar
• Kessler M L, Pitluck S, Chen G TY. Techniques and applications of image correlation in radiotherapy treatment planning. Front Radiat Ther Oncol 1987; 21: 25–32
   PubMedGoogle Scholar
• Kessler ML. Computer techniques for correlating NMR and X-ray Ct imaging for radiotherapy treatment planning. Proceedings of the 9th International Conference on the Use of Computers in Radiation Therapy., AD. Bruinvis, PH. van der Giessen, HJ. van Kleffens. Wittkämper, Elsevier Science Publishers B.V., Amsterdam 1987; 441–444
   Google Scholar
• Chen G TY, Kessler M L, Pitluck S. Structure transfer in three-dimensional medical imaging studies. Proc NCGA 1985; 171–177
   Google Scholar
• Pelizzari C A, Chen G TY. Registration of multiple diagnostic imaging scans using surface fitting. Proceedings of the 9th International Conference on the Use of Computers in Radiation Therapy., AD. Bruinvis, PH. vand der Giessen, HJ. van Kleffens, FW. Wittkämper. Elsevier Science Publishers B.V., Amsterdam 1987; 437–440
   Google Scholar
• Chin L M, Kijewski P K, Svensson GK, et al. Dose optimization with computer controlled gantry rotation, collimator motion, and dose rate variation. Int J Rad Oncol Biol Phys 1983; 9: 723–729
   PubMed Web of Science ®Google Scholar
• Smith AR. Radiotherapy in the year 2000: Dynamic conformal therapy. Proceedings of the Eleventh Variant Users Meeting. Marco Island, Florida May, 1986; 11–13; 31–35, published by Varian
   Google Scholar
• Mohan R, Brewster L J, Barest G, et al. Arbitrary oblique image sections for 3-D radiation treatment planning. Int J Radiat Oncol Biol Phys 1987; 13: 1247–1254
   PubMed Web of Science ®Google Scholar
• Phong BT. Illumination for computer generated images. Ph.D. Thesis, University of Utah. 1973
   Google Scholar
• Fuchs H, Goldfeather Hultquist JP, et al. Fast spheres, shadows, textures, transparencies, and image enhancements in pixel-planes. Comput Graph Proc 1985; 19: 111–120; 1983, SIGGRAPH Conf
   Google Scholar
• Rosenman J, Sherouse G W, Fuchs H, et al. Three-dimensional display techniques in radiation therapy treatment planning. Int J Radiat Oncol Biol Phys. 1989; 16: 263–269
   PubMed Web of Science ®Google Scholar
• Rosenman J. 3D Imaging in radiotherapy treatment planning. 3-D Imaging in Medicine, J. Udupa, G. Herman. Lewis Pub, Chelsea, MI, in press
   Google Scholar
• Chaney E, Rosenman J, Sherouse GW, et al. Three-dimensional displays of brain and prostate implants. Endo/Hyperthermia Oncology 1986; 2: 93–99
   Google Scholar
• Levoy M. Display of surfaces from volume data. IEEE Comput Graph Appl 1988; 8: 29–37
   Web of Science ®Google Scholar
• Drebin R A, Carbenter L, Hanrahan P. Volume rendering. Comput Graph 1988; 22: 65–74
   Google Scholar
• Fuchs H, Poulton J, Eyles J, et al. Pixel-Planes 5: A heterogeneous multiprocessor graphics system using processor-enhanced memories. Comput Graph Proc SIGGRAPH “89” 1989; 23: 79–88
   Google Scholar
• Hope C S, Cain O. A computer program for optimized stationary beam treatment planning using score functions. Comp Programs Biomed 1972; 2: 221
   PubMedGoogle Scholar
• Schultheiss T E, El-Mahdi AM. Statistical decision theory applied to radiation therapy treatment decisions. Proceedings: Sixth Annual Symposium on Computer Applications in Medical Care., BI. Blum. Computer Society Press, New York 1982; 978–982
   Google Scholar
• Schultheiss TE. Treatment planning by computer decision. Proceedings of the 8th International Conference on the Use of Computers in Radiotherapy. Elsevier Science Publishers, North Holland 1984; 225–229
   Google Scholar
• Walbartst A B, Chin L M, Svensson GK. Optimization of radiation therapy: Integral-response of a model biological system. Int J Radiat Oncol Biol Phys 1982; 8: 1761–1769
   PubMed Web of Science ®Google Scholar
• Gallagher TL. Optimization of external radiation beams for therapy planning. Ph.D. Thesis, Washington University, St Louis, MO 1976
   Google Scholar
• Redpath A T, Vickery B L, Duncan W. A new technique for radiotherapy planning using quadratic programming. Phys Med Biol 1976; 21: 781
   PubMed Web of Science ®Google Scholar
• Brahme A. On the optimal dose distribution for eradication of heterogeneous tumors. Proceedings of the 9th International Conference on the Use of Computers in Radiation Therapy., AD. Bruinvis, PH. van der Giessen, HJ. van Kleffens, FW. Wittkämper. Elsevier Science Publishers B.V., Amsterdam 1987; 119–122
   Google Scholar
• Censor Y, Altschuler MD, Powlis WD. A computational solution of the inverse problem in radiation-therapy treatment planning. Appl Math Comp 1988; 25: 57–87
   Web of Science ®Google Scholar
• Altschuler M D, Whittington R. Interactive statistical packages to assist in radiotherapy management of prostate cancer. Proceedings of the 9th International Conference on the Use of Computers in Radiation Therapy., AD Bruinvis, PH van der Giessen, HJ van Kleffens, FW Wittkämper. Elsevier Science Publishers B.V., Amsterdam 1987; 549–552
   Google Scholar
• Kalet I J, Jacky JP. Knowledge-based computer simulation for radiation therapy planning. Proceedings of the 9th International Conference on the Use of Computers in Radiation Therapy., AD Bruinvis, PH van der Giessen, HJ van Kleffens, FW Wittkämper. Elsevier Science Publishers B. V., 1987; 553–556
   Google Scholar
• Goitein Niemierko MA. Biologically based models for scoring treatment plans. Future Directions of Computer-Aided Radiotherapy. National Cancer Institute, Bethesda, MD, AAPM Monograph San Antonio, Texas, August 13 1988 Sponsored by: Radiation Research Program, Division of Cancer Institute
   Google Scholar
• Goitein M, Schultheiss TE. Strategies for treating possible tumor extension: Some theoretical considerations. Int J Radiat Oncol Biol Phys 1985; 11: 1519–1528
   PubMed Web of Science ®Google Scholar
• Austin-Seymour M M, Chen G TY, Castro JR, et al. Dose volume histogram analysis of liver radiation tolerance. Int J Radiat Oncol Biol Phys 1986; 12: 31–35
   PubMed Web of Science ®Google Scholar
• Kutcher G J, Burman C. Calculation of complication probability factors for non-uniform normal tissue irradiation: The effective volume method. Int J Radiat Oncol Biol Phys 1989; 16: 1623–1630
   PubMed Web of Science ®Google Scholar
• Lyman JT. Complication probability as assessed from dose-volume histograms. Rad Res 1985; 104: S13–S19
   Web of Science ®Google Scholar
• Sherouse G W, Rosenman J, McMurry HL, et al. Automatic digital contrast enhancement of radiotherapy films. Int J Radiat Oncol Biol Phys 1987; 13: 801–806
   PubMed Web of Science ®Google Scholar
• Pizer S M, Austin J D, Perry JR, et al. Adaptive histogram equalization for automatic contrast enhancement of medical images. Proc SPIE 1986; 626: 242–250
   Google Scholar
• Pizer S M, Amburn E P, Austin JD, et al. Adaptive histogram equalization and its variations. Computer Vision, Graphics and Image Proc 1987; 39: 355–368
   Google Scholar
• Cromartie R, Pizer S M, Rosenman JG. Contrast control reflecting local intensities and edges. Visualization in Biomedical Computing Conference 22–25 May, 1990, submitted
   Google Scholar
• Leong J. A digital imaging processing system for high energy x-ray portal images. Phys Med Biol 1984; 29: 1527–1535
   PubMed Web of Science ®Google Scholar
• Meertens H. Digital processing of high-energy photon beam images. Med Phys 1985; 12: 111–113
   PubMed Web of Science ®Google Scholar
• Herk H V, Meertens H. A digital imaging system for portal verification. Proceedings of the 9th International Conference on the Use of Computers in Radiation Therapy., AD Bruinvis, PH van der Giessen, HJ van Kleffens, FW Wittämper. Elsevier Science Publishers B.V., Amsterdam 1987; 371–373
   Google Scholar
• Cunningham JR. Computer algorithms for photon beams. Radiation Oncology Physics– 1986 AAPM Monograph 15, JG Kereiakes, HR Elson, CG Born. American Institute of Physics, New York 1987; 512–521
   Google Scholar
• Cunningham JR. Calculation and optimization for dose planning in radiation therapy. Syllabus: A Categorical Course in Radiation Therapy Treatment Planning, BR Paliwal, ML Griem. RSNA, Oak Brook IL 1986; 23–32
   Google Scholar
• Boyer A, Mok E. A photon distribution model employing convolution calculations. Med Phys 1985; 12: 169–177
   PubMed Web of Science ®Google Scholar
• Mackie T R, Scrimger J W, Battista JJ. A convolution method of calculating dose for 15MV x rays. Med Phys 1985; 12: 188–196
   PubMed Web of Science ®Google Scholar
• Mohan R, Chui C, Lidofsky L. Differential pencil beam computation model for photons. Med Phys 1982; 13: 64–73
   Google Scholar
• Ahnesjo A, Andreo P, Brahme A. Calculation and application of point spread functions for treatment planning and high energy photon beams. Acta Oncol 1987; 26: 49
   PubMed Web of Science ®Google Scholar
• Dean RD. A scattering kernel for use in true three-dimensional dose calculations. Med Phys 1980; 7: 429
   Web of Science ®Google Scholar
• Chui C H, Mohan R. Extraction of pencil beam kernels by the deconvolution method. Med Phys 1988; 15: 138–144
   PubMed Web of Science ®Google Scholar
• Boyer A L, Mok EC. Calculation of photon dose distributions in an inhomogeneous medium using convolutions. Med Phys 1986; 13: 503–509
   PubMed Web of Science ®Google Scholar
• Ahnesjo A. Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media. Med Phys 1989; 16: 577–592
   PubMed Web of Science ®Google Scholar
• Niemierko A, Goetein M. The use of variable grid spacing to accelerate dose calculations. Med Phys 1989; 16: 357–365
   PubMed Web of Science ®Google Scholar