229 related articles for article (PubMed ID: 15080005)
21. [A system of automated radiation treatment of malignant tumors using optimal irradiation programs].
Pavlov AS; Kostromina KN; Fadeeva MA; Marova IuM; Brikker IN
Med Radiol (Mosk); 1983 Mar; 28(3):3-10. PubMed ID: 6687622
[TBL] [Abstract][Full Text] [Related]
22. [Nonuniform dose distributions in normal body organs and tissues in the radiotherapy of malignant tumors].
Klepper LIa
Med Tekh; 1999; (5):6-10. PubMed ID: 10560087
[TBL] [Abstract][Full Text] [Related]
23. [A radiobiologic model for optimizing the radiotherapy of malignant tumors within the framework of the Ellis concept].
Lisin VA
Radiobiol Radiother (Berl); 1990; 31(1):53-9. PubMed ID: 2343083
[TBL] [Abstract][Full Text] [Related]
24. Dose response explorer: an integrated open-source tool for exploring and modelling radiotherapy dose-volume outcome relationships.
El Naqa I; Suneja G; Lindsay PE; Hope AJ; Alaly JR; Vicic M; Bradley JD; Apte A; Deasy JO
Phys Med Biol; 2006 Nov; 51(22):5719-35. PubMed ID: 17068361
[TBL] [Abstract][Full Text] [Related]
25. Benefit of using biologic parameters (EUD and NTCP) in IMRT optimization for treatment of intrahepatic tumors.
Thomas E; Chapet O; Kessler ML; Lawrence TS; Ten Haken RK
Int J Radiat Oncol Biol Phys; 2005 Jun; 62(2):571-8. PubMed ID: 15890602
[TBL] [Abstract][Full Text] [Related]
26. Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations.
Knöös T; Wieslander E; Cozzi L; Brink C; Fogliata A; Albers D; Nyström H; Lassen S
Phys Med Biol; 2006 Nov; 51(22):5785-807. PubMed ID: 17068365
[TBL] [Abstract][Full Text] [Related]
27. Intensity modulated radiation therapy for oropharyngeal cancer: the sensitivity of plan objectives and constraints to set-up uncertainty.
Ploquin N; Song W; Lau H; Dunscombe P
Phys Med Biol; 2005 Aug; 50(15):3515-33. PubMed ID: 16030380
[TBL] [Abstract][Full Text] [Related]
28. Dose mapping: validation in 4D dosimetry with measurements and application in radiotherapy follow-up evaluation.
Zhang GG; Huang TC; Forster KM; Lin KP; Stevens C; Harris E; Guerrero T
Comput Methods Programs Biomed; 2008 Apr; 90(1):25-37. PubMed ID: 18178288
[TBL] [Abstract][Full Text] [Related]
29. [Automatic adaptation of stationary field dose distributions to the individual geometry of the patient. I: Calculation of dose distributions].
Keiner P; Kirsch M; Glaser FH
Radiobiol Radiother (Berl); 1990; 31(2):119-23. PubMed ID: 2356291
[TBL] [Abstract][Full Text] [Related]
30. [Choice of optimal centering points of radiation beams in planning radiotherapy in malignant tumors].
Klepper LIa
Med Tekh; 1999; (3):26-30. PubMed ID: 10439384
[TBL] [Abstract][Full Text] [Related]
31. Comparison between the ideal reference dose level and the actual reference dose level from clinical 3D radiotherapy treatment plans.
Bufacchi A; Arcangeli G; delle Canne S; Malatesta T; Capparella R; Fragomeni R; Marmiroli L; Begnozzi L
Radiother Oncol; 2009 Jul; 92(1):68-75. PubMed ID: 19328571
[TBL] [Abstract][Full Text] [Related]
32. Intensity-modulated radiation therapy dose prescription, recording, and delivery: patterns of variability among institutions and treatment planning systems.
Das IJ; Cheng CW; Chopra KL; Mitra RK; Srivastava SP; Glatstein E
J Natl Cancer Inst; 2008 Mar; 100(5):300-7. PubMed ID: 18314476
[TBL] [Abstract][Full Text] [Related]
33. Comparison of linac based fractionated stereotactic radiotherapy and tomotherapy treatment plans for skull-base tumors.
Soisson ET; Tomé WA; Richards GM; Mehta MP
Radiother Oncol; 2006 Mar; 78(3):313-21. PubMed ID: 16490269
[TBL] [Abstract][Full Text] [Related]
34. Molecular PET/CT imaging-guided radiation therapy treatment planning.
Zaidi H; Vees H; Wissmeyer M
Acad Radiol; 2009 Sep; 16(9):1108-33. PubMed ID: 19427800
[TBL] [Abstract][Full Text] [Related]
35. A mathematical approach for evaluating the influence of dose heterogeneity on TCP for prostate cancer brachytherapy treatment.
Strigari L; Orlandini LC; Andriani I; d'Angelo A; Stefanacci M; Di Nallo AM; Benassi M
Phys Med Biol; 2008 Sep; 53(18):5045-59. PubMed ID: 18723926
[TBL] [Abstract][Full Text] [Related]
36. Development of an optimization concept for arc-modulated cone beam therapy.
Ulrich S; Nill S; Oelfke U
Phys Med Biol; 2007 Jul; 52(14):4099-119. PubMed ID: 17664597
[TBL] [Abstract][Full Text] [Related]
37. A computer simulation of in vivo tumour growth and response to radiotherapy: new algorithms and parametric results.
Dionysiou DD; Stamatakos GS; Uzunoglu NK; Nikita KS
Comput Biol Med; 2006 May; 36(5):448-64. PubMed ID: 15916755
[TBL] [Abstract][Full Text] [Related]
38. Evaluation of an artificial intelligence guided inverse planning system: clinical case study.
Yan H; Yin FF; Willett C
Radiother Oncol; 2007 Apr; 83(1):76-85. PubMed ID: 17368843
[TBL] [Abstract][Full Text] [Related]
39. Adjoint Monte Carlo method for prostate external photon beam treatment planning: an application to 3D patient anatomy.
Wang B; Goldstein M; Xu XG; Sahoo N
Phys Med Biol; 2005 Mar; 50(5):923-35. PubMed ID: 15798265
[TBL] [Abstract][Full Text] [Related]
40. A finite size pencil beam for IMRT dose optimization.
Jeleń U; Söhn M; Alber M
Phys Med Biol; 2005 Apr; 50(8):1747-66. PubMed ID: 15815094
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]