BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Alfonso JC, Herrero MA, Núñez L. A dose-volume histogram based decision-support system for dosimetric comparison of radiotherapy treatment plans. Radiat Oncol 2015;10:263. [PMID: 26715096 DOI: 10.1186/s13014-015-0569-3] [Cited by in Crossref: 19] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
1 Singh G, Tyagi A, Thaper D, Kamal R, Kumar V, Oinam AS, Srivastava R, Halder S, Hukku S. Dosimetric analysis of cervical cancer stage IIB patients treated with volumetric modulated arc therapy using plan uncertainty parameters module of Varian Eclipse treatment planning system. Biomed Phys Eng Express 2021;7. [PMID: 33862601 DOI: 10.1088/2057-1976/abf90a] [Reference Citation Analysis]
2 Hernandez V, Hansen CR, Widesott L, Bäck A, Canters R, Fusella M, Götstedt J, Jurado-Bruggeman D, Mukumoto N, Kaplan LP, Koniarová I, Piotrowski T, Placidi L, Vaniqui A, Jornet N. What is plan quality in radiotherapy? The importance of evaluating dose metrics, complexity, and robustness of treatment plans. Radiother Oncol 2020;153:26-33. [PMID: 32987045 DOI: 10.1016/j.radonc.2020.09.038] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
3 Yang K, Zhang Q, Zhang M, Xie W, Li M, Zeng L, Wang Q, Zhao J, Li Y, Li G. A Nomogram for the Determination of the Necessity of Concurrent Chemotherapy in Patients With Stage II-IVa Nasopharyngeal Carcinoma. Front Oncol 2021;11:640077. [PMID: 34552862 DOI: 10.3389/fonc.2021.640077] [Reference Citation Analysis]
4 Ventura T, Dias J, Khouri L, Netto E, Soares A, da Costa Ferreira B, Rocha H, Lopes MDC. Clinical validation of a graphical method for radiation therapy plan quality assessment. Radiat Oncol 2020;15:64. [PMID: 32164752 DOI: 10.1186/s13014-020-01507-5] [Reference Citation Analysis]
5 Vinh-Hung V, Leduc N, Verellen D, Verschraegen C, Dipasquale G, Nguyen NP. The mean absolute dose deviation-A common metric for the evaluation of dose-volume histograms in radiation therapy. Med Dosim 2020;45:186-9. [PMID: 31757715 DOI: 10.1016/j.meddos.2019.10.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
6 Li Q, Luo H, Liu X, Zhong M, Yang H, Tao D, Jin F. Evaluation of plan quality based on a novel plan difficulty index and its preliminary application in radiotherapy. Journal of Radiation Research and Applied Sciences 2021;14:477-85. [DOI: 10.1080/16878507.2021.1988818] [Reference Citation Analysis]
7 Meaney C, Stastna M, Kardar M, Kohandel M. Spatial optimization for radiation therapy of brain tumours. PLoS One 2019;14:e0217354. [PMID: 31251755 DOI: 10.1371/journal.pone.0217354] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
8 Yan L, Xu Y, Liang B, Dai J. A new index for evaluating the fit of dose distribution to target volume: Dose distribution fix index. Med Dosim 2021:S0958-3947(21)00031-5. [PMID: 34001431 DOI: 10.1016/j.meddos.2021.03.011] [Reference Citation Analysis]
9 López Alfonso JC, Parsai S, Joshi N, Godley A, Shah C, Koyfman SA, Caudell JJ, Fuller CD, Enderling H, Scott JG. Temporally feathered intensity-modulated radiation therapy: A planning technique to reduce normal tissue toxicity. Med Phys 2018;45:3466-74. [PMID: 29786861 DOI: 10.1002/mp.12988] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 2.8] [Reference Citation Analysis]
10 Chow JCL, Jiang R, Xu L. Evaluation of plan optimisers in prostate VMAT using the dose distribution index. J Radiother Pract 2019;18:323-8. [DOI: 10.1017/s1460396919000098] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
11 Mayo CS, Yao J, Eisbruch A, Balter JM, Litzenberg DW, Matuszak MM, Kessler ML, Weyburn G, Anderson CJ, Owen D, Jackson WC, Haken RT. Incorporating big data into treatment plan evaluation: Development of statistical DVH metrics and visualization dashboards. Adv Radiat Oncol 2017;2:503-14. [PMID: 29114619 DOI: 10.1016/j.adro.2017.04.005] [Cited by in Crossref: 14] [Cited by in F6Publishing: 8] [Article Influence: 2.8] [Reference Citation Analysis]
12 Ng F, Jiang R, Chow JCL. Predicting radiation treatment planning evaluation parameter using artificial intelligence and machine learning. IOPSciNotes 2020;1:014003. [DOI: 10.1088/2633-1357/ab805d] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 3.5] [Reference Citation Analysis]
13 Calusi S, Doro R, Di Cataldo V, Cipressi S, Francolini G, Bonucci I, Livi L, Masi L. Performance assessment of a new optimization system for robotic SBRT MLC-based plans. Physica Medica 2020;71:31-8. [DOI: 10.1016/j.ejmp.2020.02.009] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]