References
- Tol J, Delaney A, Dahele M, et al. Evaluation of a knowledge-based planning solution for head and neck cancer. Int J Radiat Oncol Biol Phys. 2015;91(3):612–620.
- Appenzoller L, Michalski J, Thorstad W, et al. Predicting dose-volume histograms for organs-at-risk in IMRT planning. Med Phys. 2012;39(12):7446–7461.
- Krayenbuehl J, Norton I, Studer G, et al. Evaluation of an automated knowledge based treatment planning system for head and neck. Radiat Oncol. 2015;10(1):226.
- Fogliata A, Belosi F, Clivio A, et al. On the pre-clinical validation of a commercial model-based optimisation engine: application to volumetric modulated arc therapy for patients with lung or prostate cancer. Radiother Oncol. 2014;113(3):385–391.
- Breedveld S, Storchi P, Heijmen B. The equivalence of multi-criteria methods for radiotherapy plan optimization. Phys Med Biol. 2009;54(23):7199–7209.
- Ghandour S, Matzinger O, Pachoud M. Volumetric-modulated arc therapy planning using multicriteria optimization for localized prostate cancer. J Appl Clin Med Phys. 2015;16(3):258–269.
- Fogliata A, Nicolini G, Clivio A, et al. A broad scope knowledge based model for optimization of VMAT in esophageal cancer: validation and assessment of plan quality among different treatment centers. Radiat Oncol. 2015;10(1):220.
- Wu H, Jiang F, Yue H, et al. A dosimetric evaluation of knowledgebased VMAT planning with simultaneous integrated boosting for rectal cancer patients. J Appl Clin Med Phys. 2016;17(6):78–85.
- Kubo K, Monzen H, Ishii K, et al. Dosimetric comparison of RapidPlan and manually optimized plans in volumetric modulated arc therapy for prostate cancer. Phys Med. 2017;44:199–204.
- Tol J, Dahele M, Delaney A, et al. Can knowledge-based dvh predictions be used for automated, individualized quality assurance of radiotherapy treatment plans? Radiat Oncol. 2015;10(1):1–14.
- Ueda Y, Fukunaga J, Kamima T, et al. Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer. Radiat Oncol. 2018;13(1):46–46.
- Kamima, T, Ueda, Y, Fukunaga, J-I, et al. Multi-institutional evaluation of knowledge-based planning performance of volumetric modulated arc therapy (VMAT) for head and neck cancer. Phys Med. 2019;64:174–181. 31515017 doi:10.1016/j.ejmp.2019.07.004.
- Kubo, K, Monzen, H, Ishii, K, et al. Inter-planner variation in treatment-plan quality of plans created with a knowledge-based treatment planning system. Physica Medica. 2019;67:132–140. doi:10.1016/j.ejmp.2019.10.032.
- McGarry CK, Agnew CE, Hussein M, et al. The role of complexity metrics in a multi-institutional dosimetry audit of VMAT. Br J Radiol. 2016;89(1057):20150445.
- Winkler P, Trausnitz A, Schroettner J, et al. EP-1533 Modulation complexity assessment in VMAT plans from different treatment planning system. Radiother Oncol. 2017;123:S824–S825.
- Krayenbuehl J, Zamburlini M, Ghandour S, et al. Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer. Radiat Oncol. 2018;13(1):170.
- Tamura M, Monzen H, Matsumoto K, et al. Mechanical performance of a commercial knowledge-based VMAT planning for prostate cancer. Radiat Oncol. 2018;13(1):163.
- Mayo CS, Urie MM, Fitzgerald TJ, et al. Hybrid IMRT for Treatment of cancers of the lung and esophagus. Int J Radiat Oncol Biol Phys. 2008;71(5):1408–1418.
- Chan OSH, Lee MCH, Hung AWM, et al. The superiority of hybrid-volumetric arc therapy (VMAT) technique over double arcs VMAT and 3D-conformal technique in the treatment of locally advanced non-small cell lung cancer – A planning study. Radiother Oncol. 2011;101(2):298–302.
- Varian Medical Systems. Eclipse treatment planning 13.5 new features | RapidPlan (EC13.5-WBK-01-B). Palo Alto, CA: Varian Medical Systems Inc.; 2014.
- Hedin E, Bäck A. Influence of different dose calculation algorithms on the estimate of NTCP for lung complications. J Appl Clin Med Phys. 2013;14(5):127–139.
- Masi L, Doro R, Favuzza V, et al. Impact of plan parameters on the dosimetric accuracy of volumetric modulated arc therapy. Med Phys. 2013;40(7):071718.
- Wang S, Liao Z, Wei X, et al. Analysis of clinical and dosimetric factors associated with treatment-related pneumonitis (TRP) in patients with non-small-cell lung cancer (NSCLC) treated with concurrent chemotherapy and three-dimensional conformal radiotherapy (3D-CRT). Int J Radiat Oncol Biol Phys. 2006;66(5):1399–1407.
- Patel PR, Yoo S, Broadwater G, et al. Effect of increasing experience on dosimetric and clinical outcomes in the management of malignant pleural mesothelioma with intensity-modulated radiation therapy. Int J Radiat Oncol Biol Phys. 2012;83(1):362–368.
- Aibe N, Yamazaki H, Nakamura S, et al. Outcome and toxicity of stereotactic body radiotherapy with helical tomotherapy for inoperable lung tumor: analysis of Grade 5 radiation pneumonitis. J Radiat Res. 2014;55(3):575–582.
- Chun SG, Hu C, Choy H, et al. Impact of intensity-modulated radiation therapy technique for locally advanced non-small-cell lung cancer: a secondary analysis of the NRG Oncology RTOG 0617 Randomized Clinical Trial. J Clin Oncol. 2017;35(1):56–62.
- Nguyen D, Jia X, Sher D, et al. Three-dimensional radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture. Phys Med Biol. 2019;64(6):065020.