63 related articles for article (PubMed ID: 24842293)
1. The influence of the local effect model parameters on the prediction of the tumor control probability for prostate cancer.
Chanrion MA; Sauerwein W; Jelen U; Wittig A; Engenhart-Cabillic R; Beuve M
Phys Med Biol; 2014 Jun; 59(12):3019-40. PubMed ID: 24842293
[TBL] [Abstract][Full Text] [Related]
2. Tumor control probability (TCP) in prostate cancer: role of radiobiological parameters and radiation dose escalation.
Ahmad S; Vogds BJ; McKenna F; Vlachaki MT
J Xray Sci Technol; 2009; 17(4):347-54. PubMed ID: 19923690
[TBL] [Abstract][Full Text] [Related]
3. Effect of patient variation on standard- and hypo-fractionated radiotherapy of prostate cancer.
Xiong W; Li J; Ma CM
Phys Med Biol; 2005 Apr; 50(7):1483-92. PubMed ID: 15798338
[TBL] [Abstract][Full Text] [Related]
4. Radiobiological parameters in a tumour control probability model for prostate cancer LDR brachytherapy.
Her EJ; Reynolds HM; Mears C; Williams S; Moorehouse C; Millar JL; Ebert MA; Haworth A
Phys Med Biol; 2018 Jun; 63(13):135011. PubMed ID: 29799812
[TBL] [Abstract][Full Text] [Related]
5. Potential implications of the bystander effect on TCP and EUD when considering target volume dose heterogeneity.
Balderson MJ; Kirkby C
Int J Radiat Biol; 2015 Jan; 91(1):54-61. PubMed ID: 25004946
[TBL] [Abstract][Full Text] [Related]
6. The FLUKA Monte Carlo code coupled with the local effect model for biological calculations in carbon ion therapy.
Mairani A; Brons S; Cerutti F; Fassò A; Ferrari A; Krämer M; Parodi K; Scholz M; Sommerer F
Phys Med Biol; 2010 Aug; 55(15):4273-89. PubMed ID: 20647603
[TBL] [Abstract][Full Text] [Related]
7. Dosimetry and radiobiologic model comparison of IMRT and 3D conformal radiotherapy in treatment of carcinoma of the prostate.
Luxton G; Hancock SL; Boyer AL
Int J Radiat Oncol Biol Phys; 2004 May; 59(1):267-84. PubMed ID: 15093924
[TBL] [Abstract][Full Text] [Related]
8. Impact of enhancements in the local effect model (LEM) on the predicted RBE-weighted target dose distribution in carbon ion therapy.
Grün R; Friedrich T; Elsässer T; Krämer M; Zink K; Karger CP; Durante M; Engenhart-Cabillic R; Scholz M
Phys Med Biol; 2012 Nov; 57(22):7261-74. PubMed ID: 23075883
[TBL] [Abstract][Full Text] [Related]
9. Dose-volume conundrum for response of prostate cancer to brachytherapy: summary dosimetric measures and their relationship to tumor control probability.
D'Souza WD; Thames HD; Kuban DA
Int J Radiat Oncol Biol Phys; 2004 Apr; 58(5):1540-8. PubMed ID: 15050335
[TBL] [Abstract][Full Text] [Related]
10. Radiobiological impact of reduced margins and treatment technique for prostate cancer in terms of tumor control probability (TCP) and normal tissue complication probability (NTCP).
Jensen I; Carl J; Lund B; Larsen EH; Nielsen J
Med Dosim; 2011; 36(2):130-7. PubMed ID: 20488692
[TBL] [Abstract][Full Text] [Related]
11. Temporal lobe reactions after carbon ion radiation therapy: comparison of relative biological effectiveness-weighted tolerance doses predicted by local effect models I and IV.
Gillmann C; Jäkel O; Schlampp I; Karger CP
Int J Radiat Oncol Biol Phys; 2014 Apr; 88(5):1136-41. PubMed ID: 24661667
[TBL] [Abstract][Full Text] [Related]
12. Analytical investigation of the possibility of parameter invariant TCP-based radiation therapy plan ranking.
Stavreva N; Nahum A; Markov K; Ruggieri R; Stavrev P
Acta Oncol; 2010 Nov; 49(8):1324-33. PubMed ID: 20950227
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Evaluation of dose-response models and parameters predicting radiation induced pneumonitis using clinical data from breast cancer radiotherapy.
Tsougos I; Mavroidis P; Rajala J; Theodorou K; Järvenpää R; Pitkänen MA; Holli K; Ojala AT; Lind BK; Hyödynmaa S; Kappas C
Phys Med Biol; 2005 Aug; 50(15):3535-54. PubMed ID: 16030381
[TBL] [Abstract][Full Text] [Related]
15. Impact of tumor repopulation on radiotherapy planning.
Wang JZ; Li XA
Int J Radiat Oncol Biol Phys; 2005 Jan; 61(1):220-7. PubMed ID: 15629615
[TBL] [Abstract][Full Text] [Related]
16. LDR vs. HDR brachytherapy for localized prostate cancer: the view from radiobiological models.
King CR
Brachytherapy; 2002; 1(4):219-26. PubMed ID: 15062170
[TBL] [Abstract][Full Text] [Related]
17. Treatment plan comparison between helical tomotherapy and MLC-based IMRT using radiobiological measures.
Mavroidis P; Ferreira BC; Shi C; Lind BK; Papanikolaou N
Phys Med Biol; 2007 Jul; 52(13):3817-36. PubMed ID: 17664579
[TBL] [Abstract][Full Text] [Related]
18. Accuracy of the local effect model for the prediction of biologic effects of carbon ion beams in vitro and in vivo.
Elsässer T; Krämer M; Scholz M
Int J Radiat Oncol Biol Phys; 2008 Jul; 71(3):866-72. PubMed ID: 18430521
[TBL] [Abstract][Full Text] [Related]
19. Patient-specific voxel-level dose prescription for prostate cancer radiotherapy considering tumor cell density and grade distribution.
Zhao Y; Haworth A; Reynolds HM; Her EJ; Sun Y; Finnegan R; Rowshanfarzad P; Ebert MA
Med Phys; 2023 Jun; 50(6):3746-3761. PubMed ID: 36734620
[TBL] [Abstract][Full Text] [Related]
20. The use of spatial dose gradients and probability density function to evaluate the effect of internal organ motion for prostate IMRT treatment planning.
Jiang R; Barnett RB; Chow JC; Chen JZ
Phys Med Biol; 2007 Mar; 52(5):1469-84. PubMed ID: 17301465
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
