Development of an automatic analysis system for radiotherapy planning
Yang Chengwen1, Feng Yuanming1, Wang Ping2, Guo Lu2, Wang Wei2
1School of Precision Instruments & Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; 2National Clinical Research Center for Cancer, Cancer Hospital, Tianjin Medical University, Tianjin 300060, China
Abstract：Objective An automatic analysis system for radiotherapy planning was developed to realize the automatic analysis of dose parameters of radiotherapy planning through the intelligent analysis of the underlying data of Pinnacle3 treatment planning system (TPS). Methods The radiotherapy plans of 12 patients with esophagus cancer were analyzed.The automatic analysis system automatically retrieved the Pinnacle3 TPS database, obtained the raw data of 12 cases of treatment plan, and automatically analyzed the underlying raw data, reconstructed contours, radiation fields, and dose parameters, and recalculated dose distribution and dose-volume histograms. The accuracy of the recalculation of the volume and dose data of the new system was evaluated by comparing with volume and dose data from the original plans of online TPS. Results The automatic analysis system successfully parsed the underlying data of the treatment plan and reconstructed the parameters of the treatment plan. The volume deviation between the contour calculated by the new system and the original plans was ≤0.1%;Compared with the reference dose of the original plans, the deviations of dose parameters (Dmax, Dmean, D95, and D50 for GTV,PGTV,CTV, and PTV) recalculated by the new analysis system were ≤1.0%;The deviations of Dmax and Dmean of recalculated ROIs from the original plans were <5%. Conclusions The automatic analysis system can directly analyze the underlying data of the Pinnacle3 TPS treatment plan, reconstruct the treatment plan, calculate the contour volume and dose parameters, and the dose deviations from the original plans meet clinical requirements
Yang Chengwen,Feng Yuanming,Wang Ping et al. Development of an automatic analysis system for radiotherapy planning[J]. Chinese Journal of Radiation Oncology, 2020, 29(5): 358-362.
[1] Gong YT, Yu JL, Pang DL, et al. Automated extraction of dose/volume statistics for radiotherapy-treatment-plan evaluation in clinical-trial quality assurance[J]. Front Oncol, 2016, 6(2):323-326. DOI:10.3389/fonc.2016.00047.
[2] Zhang LL, Hub M, Mang S, et al. Software for quantitative analysis of radiotherapy:overview, requirement analysis and design solutions[J]. Comput Meth Prog Biomed, 2013, 110(3):528-537. DOI:10.1016/j.cmpb.2013.03.002.
[3] Spezi E, Lewis D, Smith C. A DICOM-RT-based toolbox for the evaluation and verification of radiotherapy plans[J]. Phys Med Biol, 2002, 47(23):4223-4232. DOI:10.1088/0031-9155/47/23/308.
[4] Marungo F, Robertson S, Quon H, et al. Creating a data science platform for developing complication risk models for personalized treatment planning in radiation oncology[C]. Hawaii International Conference on System Sciences, Hawaii:IEEE, 2015. DOI:10.1109/HICSS.2015.378.
[5] Kantor M, Starkschall G, Balter P. Relational database of treatment planning system information[J]. J Radiat oncol informatics, 2013, 5(1):1-10. DOI:10.5166/jroi-5-1-15.
[6] ECMA- 404. The JSON data interchange format[EB/OL].[2019-07-02].https://www.json.org.
[7] Pyakuryal A, Myint W, Gopalakrishnan M, et al. A computational tool for the efficient analysis of dose-volume histograms for radiation therapy treatment plans[J]. J Appl Clin Med Phys, 2010, 11(1):3013-3042. DOI:10.1120/jacmp.v11i1.3013.
[8] Min BJ, Nam H, Jeong IS, et al. A simple DVH generation technique for various radiotherapy treatment planning systems for an independent information system[J]. J Kore Phys Soc, 2015, 67(1):254-259 DOI:10.3938/jkps.67.254.
[9] Wootton, Peter. Dose specification for reporting external beam therapy with photons and electrons[J]. Med Phys, 1979, 6(6):541-542. DOI:10.1118/1.594621.
[10] Stern RL, Heaton R, Fraser MW, et al. Verification of monitor unit calculations for non-IMRT clinical radiotherapy:Report of AAPM Task Group 114[J]. Med Phys, 2011, 38(1):504-530. DOI:10.1118/1.3521473.
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