Improving knowledge-based treatment planning for lung cancer radiotherapy with automatic multi-criteria optimized training plans

References

• Hussein M, Heijmen BJM, Verellen D, et al. Automation in intensity modulated radiotherapy treatment planning—a review of recent innovations. Br J Radiol. 2018;91(1092):20180270. doi: 10.1259/bjr.20180270.
   PubMed Web of Science ®Google Scholar
• Fjellanger K, Hysing LB, Heijmen BJM, et al. Enhancing radiotherapy for locally advanced non-small cell lung cancer patients with iCE, a novel system for automated multi-criterial treatment planning including beam angle optimization. Cancers. 2021;13:5683. doi: 10.3390/cancers13225683.
   PubMed Web of Science ®Google Scholar
• Della Gala G, Dirkx MLP, Hoekstra N, et al. Fully automated VMAT treatment planning for advanced-stage NSCLC patients. Strahlenther Onkol. 2017;193(5):402–409. doi: 10.1007/s00066-017-1121-1.
   PubMed Web of Science ®Google Scholar
• Bijman R, Sharfo AW, Rossi L, et al. Pre-clinical validation of a novel system for fully-automated treatment planning. Radiother Oncol. 2021;158:253–261. doi: 10.1016/j.radonc.2021.03.003.
   PubMed Web of Science ®Google Scholar
• 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. doi: 10.1016/j.radonc.2014.11.009.
   PubMed Web of Science ®Google Scholar
• Visak J, McGarry RC, Randall ME, et al. Development and clinical validation of a robust knowledge‐based planning model for stereotactic body radiotherapy treatment of centrally located lung tumors. J Appl Clin Med Phys. 2021;22(1):146–155. doi: 10.1002/acm2.13120.
   PubMed Web of Science ®Google Scholar
• Hussein M, South CP, Barry MA, et al. Clinical validation and benchmarking of knowledge-based IMRT and VMAT treatment planning in pelvic anatomy. Radiother Oncol. 2016;120(3):473–479. doi: 10.1016/j.radonc.2016.06.022.
   PubMed Web of Science ®Google Scholar
• 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. doi: 10.1016/j.ejmp.2017.06.026.
   PubMed Web of Science ®Google Scholar
• Fogliata A, Reggiori G, Stravato A, et al. RapidPlan head and neck model: the objectives and possible clinical benefit. Radiat Oncol. 2017;12(1):73. doi: 10.1186/s13014-017-0808-x.
   PubMed Web of Science ®Google Scholar
• Schubert C, Waletzko O, Weiss C, et al. Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the german RapidPlan consortium. Zhang Q, editor. PLOS One. 2017;12(5):e0178034. doi: 10.1371/journal.pone.0178034.
   PubMed Web of Science ®Google Scholar
• Kaderka R, Mundt RC, Li N, et al. Automated closed- and open-loop validation of knowledge-based planning routines across multiple disease sites. Pract Radiat Oncol. 2019;9(4):257–265. doi: 10.1016/j.prro.2019.02.010.
   PubMed Web of Science ®Google Scholar
• Hundvin JA, Fjellanger K, Pettersen HES, et al. Clinical iterative model development improves knowledge-based plan quality for high-risk prostate cancer with four integrated dose levels. Acta Oncol. 2021;60(2):237–244. doi: 10.1080/0284186X.2020.1828619.
   PubMed Web of Science ®Google Scholar
• Fogliata A, Cozzi L, Reggiori G, et al. RapidPlan knowledge based planning: iterative learning process and model ability to steer planning strategies. Radiat Oncol. 2019;14(1):187. doi: 10.1186/s13014-019-1403-0.
   PubMed Web of Science ®Google Scholar
• Hoffmann L, Knap MM, Alber M, et al. Optimal beam angle selection and knowledge-based planning significantly reduces radiotherapy dose to organs at risk for lung cancer patients. Acta Oncol. 2021;60(3):293–299. doi: 10.1080/0284186X.2020.1856409.
   PubMed Web of Science ®Google Scholar
• Scaggion A, Fusella M, Cavinato S, et al. Updating a clinical knowledge-based planning prediction model for prostate radiotherapy. Phys Med. 2023;107:102542. doi: 10.1016/j.ejmp.2023.102542.
   PubMed Web of Science ®Google Scholar
• Miguel-Chumacero E, Currie G, Johnston A, et al. Effectiveness of multi-criteria optimization-based trade-off exploration in combination with RapidPlan for head & neck radiotherapy planning. Radiat Oncol. 2018;13(1):229. doi: 10.1186/s13014-018-1175-y.
   PubMed Web of Science ®Google Scholar
• Fjellanger K, Rossi L, Heijmen BJM, et al. Patient selection, inter-fraction plan robustness and reduction of toxicity risk with deep inspiration breath hold in intensity-modulated radiotherapy of locally advanced non-small cell lung cancer. Front Oncol. 2022;12:966134. doi: 10.3389/fonc.2022.966134.
   PubMed Web of Science ®Google Scholar
• Breedveld S, Storchi PRM, Voet PWJ, et al. iCycle: integrated, multicriterial beam angle, and profile optimization for generation of coplanar and noncoplanar IMRT plans. Med Phys. 2012;39(2):951–963. doi: 10.1118/1.3676689.
   PubMed Web of Science ®Google Scholar
• Varian Medical Systems, Inc. Eclipse Photon and Electron Reference Guide [Internet]. Varian Medical Systems, Inc.; 2017. p 1020504-002-B.
   Google Scholar
• Nederlandse Vereniging voor Radiotherapie en Oncologie. Landelijk Indicatie Protocol Protonen Therapie - Longcarcinoom [Internet]. 2019. Available from: nvro.nl/images/documenten/rapporten/LIPP_longen_final_01122019.pdf.
   Google Scholar
• Appelt AL, Vogelius IR, Farr KP, et al. Towards individualized dose constraints: adjusting the QUANTEC radiation pneumonitis model for clinical risk factors. Acta Oncol. 2014;53(5):605–612. doi: 10.3109/0284186X.2013.820341.
   PubMed Web of Science ®Google Scholar
• Defraene G, Dankers FJWM, Price G, et al. Multifactorial risk factors for mortality after chemotherapy and radiotherapy for non-small cell lung cancer. Radiother Oncol. 2020;152:117–125. doi: 10.1016/j.radonc.2019.09.005.
   PubMed Web of Science ®Google Scholar
• Wijsman R, Dankers F, Troost EGC, et al. Multivariable normal-tissue complication modeling of acute esophageal toxicity in advanced stage non-small cell lung cancer patients treated with intensity-modulated (chemo-)radiotherapy. Radiother Oncol. 2015;117(1):49–54. doi: 10.1016/j.radonc.2015.08.010.
   PubMed Web of Science ®Google Scholar
• Nakamura K, Okuhata K, Tamura M, et al. An updating approach for knowledge‐based planning models to improve plan quality and variability in volumetric‐modulated arc therapy for prostate cancer. J Appl Clin Med Phys. 2021;22(9):113–122. doi: 10.1002/acm2.13353.
   PubMed Web of Science ®Google Scholar
• Monzen H, Tamura M, Ueda Y, et al. Dosimetric evaluation with knowledge-based planning created at different periods in volumetric-modulated arc therapy for prostate cancer: a multi-institution study. Radiol Phys Technol. 2020;13(4):327–335. doi: 10.1007/s12194-020-00585-0.
   PubMed Web of Science ®Google Scholar
• Kang Z, Fu L, Liu J, et al. A practical method to improve the performance of knowledge-based VMAT planning for endometrial and cervical cancer. Acta Oncol. 2022;61(8):1012–1018. doi: 10.1080/0284186X.2022.2093615.
   PubMed Web of Science ®Google Scholar
• Wang M, Li S, Huang Y, et al. An interactive plan and model evolution method for knowledge-based pelvic VMAT planning. J Appl Clin Med Phys. 2018;19(5):491–498. doi: 10.1002/acm2.12403.
   PubMed Web of Science ®Google Scholar
• Li N, Carmona R, Sirak I, et al. Highly efficient training, refinement, and validation of a knowledge-based planning quality-control system for radiation therapy clinical trials. Int J Radiat Oncol Biol Phys. 2017;97(1):164–172. doi: 10.1016/j.ijrobp.2016.10.005.
   PubMed Web of Science ®Google Scholar
• Chatterjee A, Serban M, Abdulkarim B, et al. Performance of knowledge-based radiation therapy planning for the glioblastoma disease Site. Int J Radiat Oncol Biol Phys. 2017;99(4):1021–1028. doi: 10.1016/j.ijrobp.2017.07.012.
   PubMed Web of Science ®Google Scholar
• Chatterjee A, Serban M, Faria S, et al. Novel knowledge-based treatment planning model for hypofractionated radiotherapy of prostate cancer patients. Phys Med. 2020;69:36–43. doi: 10.1016/j.ejmp.2019.11.023.
   PubMed Web of Science ®Google Scholar
• Jayarathna S, Shen X, Chen RC, et al. The effect of integrating knowledge‐based planning with multicriteria optimization in treatment planning for prostate SBRT. J Appl Clin Med Phys. 2023;24(6):e13940. doi: 10.1002/acm2.13940.
   PubMed Web of Science ®Google Scholar
• Smith A, Granatowicz A, Stoltenberg C, et al. Can the student outperform the master? A plan comparison between pinnacle auto-planning and eclipse knowledge-based RapidPlan following a prostate-bed plan competition. Technol Cancer Res Treat. 2019;18:1533033819851763. doi: 10.1177/1533033819851763.
   Web of Science ®Google Scholar
• Hansen CR, Crijns W, Hussein M, et al. Radiotherapy treatment plannINg study guidelines (RATING): a framework for setting up and reporting on scientific treatment planning studies. Radiother Oncol. 2020;153:67–78. doi: 10.1016/j.radonc.2020.09.033.
   PubMed Web of Science ®Google Scholar