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An infrared interactive patient position guidance and acquisition control system for use during radiotherapy treatment

Published online by Cambridge University Press:  06 April 2017

Hiraku Fuse ,
Kenji Komatsu ,
Hiroyuki Arakawa ,
Takeji Sakae  and
Fujisaki Tatsuya
Hiraku Fuse*
Affiliation:
Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, Inashiki-gun, Ibaraki, Japan
Kenji Komatsu
Affiliation:
Department of Radiological Technology, Hitachi General Hospital, Hitachi, Ibaraki, Japan
Hiroyuki Arakawa
Affiliation:
Department of Radiological Technology, Seirei Sakura Citizen Hospital, Sakura, Chiba, Japan
Takeji Sakae
Affiliation:
Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
Fujisaki Tatsuya
Affiliation:
Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, Inashiki-gun, Ibaraki, Japan
*
Correspondence to: Hiraku Fuse, Department of Radiological Sciences, Ibaraki Prefectural University of Health Science, 4669-2 Ami-machi, Inashiki-gun, Ibaraki 300-0331, Japan. Tel: +81 298 40 2218. Fax: +81 298 40 2318. E-mail: [email protected]
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Abstract

Background

The control of patient position, posture and respiratory movements during radiotherapy is important for effective and specific treatment of malignancy. We have developed an infrared (IR) interactive patient position guidance and acquisition control system for clinical use, comprising IR cameras, IR markers and dedicated software.

Materials and methods

We evaluated the system with ten healthy volunteers and ten experienced operators. IR markers were placed on the body surface. Their positions were calculated using vectors of three translational and three rotational parameters, and the intrafractional error for each marker was acquired with and without respiratory motion. The inclusion of multiple positioning markers allowed for real-time visualisation of the patient posture, with feedback on misalignment and required postural adjustments.

Results

The positioning time was 73 seconds (with a minimum period of 39 seconds), which was significantly shorter than for conventional line alignment. A comparison of positioning reproducibility between conventional line alignment and this system was <3·5 mm and was not patient dependent or operator dependent. An intrafractional error of displacement of up to 10·0 mm was found in the right iliac crest.

Conclusions

This IR interactive system was shown to be high utility and suitable for monitoring patient position, posture and respiratory movements during radiotherapy.

Keywords

infraredpositioning guidanceposture controlradiotherapyrespiratory control
Type
Original Articles
Information
Journal of Radiotherapy in Practice , Volume 16 , Issue 3 , September 2017 , pp. 303 - 310
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Copyright
© Cambridge University Press 2017 

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References

1. Van Herk, M. Errors and margins in radiotherapy. Semin Radiat Oncol 2004; 14: 52–64.Google Scholar
2. Langen, K M, Jones, D T L. Organ motion and its management. Int J Radiat Oncol Biol Phys 2001; 50: 265–278.CrossRefGoogle ScholarPubMed
3. Murphy, M J, Chang, S D, Gibbs, I C et al. Patterns of patient movement during frameless image-guided radiosurgery. Int J Radiat Oncol Biol Phys 2003; 55: 1400–1408.Google Scholar
4. Hoogeman, M S, Nuyttens, J J, Levendag, P C, Heijmen, B J. Time dependence of intrafraction patient motion assessed by repeat stereoscopic imaging. Int J Radiat Oncol Biol Phys 2008; 70: 609–618.Google Scholar
5. Lievens, Y, Van den Bogaert, W, Kesteloot, K. Activity-based costing: a practical model for cost calculation in radiotherapy. Int J Radiat Oncol Biol Phys 2003; 57: 522–535.Google Scholar
6. Van de Werf, E, Verstraete, J, Lievens, Y. The cost of radiotherapy in a decade of technology evolution. Radiother Oncol 2012; 102: 148–153.Google Scholar
7. Zabel-du Bois, A, Milker-Zabel, S, Bruns, F et al. Evaluation of time, attendance of medical staff and resources for radiotherapy in pediatric and adolescent patients. The DEGRO-QUIRO trial. Strahlenther Onkol 2014; 190: 582–590.Google Scholar
8. Thilmann, C, Nill, S, Tucking, T et al. Correction of patient positioning errors based on in-line cone beam CTs: clinical implementation and first experiences. Radiat Oncol 2006; 1: 1–9.Google Scholar
9. Meyer, J, Wilbert, J, Baier, K et al. Positioning accuracy of cone-beam computed tomography in combination with a HexaPOD robot treatment table. Int J Radiat Oncol Biol Phys 2007; 67: 1220–1228.CrossRefGoogle ScholarPubMed
10. Guckenberger, M, Meyer, J, Wilbert, J, Baier, K, Sauer, O, Flentje, M. Precision of image-guided radiotherapy (IGRT) in six degrees of freedom and limitations in clinical practice. Strahlenther Onkol 2007; 183: 307–313 https://doi.org/10.1007/s00066-007-1695-0.Google Scholar
11. Baroni, G, Ferrigno, G, Orecchia, R, Pedotti, A. Real-time three dimensional motion analysis for patient positioning verification. Radiother Oncol 2000; 54: 21–27.CrossRefGoogle ScholarPubMed
12. Soete, G, Van de Steene, J, Verellen, D et al. Initial clinical experience with infrared-reflecting skin markers in the positioning of patients treated by conformal radiotherapy for prostate cancer. Int J Radiat Oncol Biol Phys 2002; 52: 694–698.Google Scholar
13. Verellen, D, Soete, G, Linthout, N. Quality assurance of a system for improved target localization and patient setup that combines real-time infrared tracking and stereoscopic X-ray imaging. Radiother Oncol 2003; 67: 129–141.CrossRefGoogle ScholarPubMed
14. Meeks, S L, Tome, W A, Willoghby, T R et al. Optically guided patient positioning techniques. Semin Radiat Oncol 2005; 15: 192–201.Google Scholar
15. Wilbert, J, Meyer, J, Baier, K et al. Tumor tracking and motion compensation with an adaptive tumor tracking system (ATTS): system description and prototype testing. Med Phys 2008; 35: 3911–3921.Google Scholar
16. Wilbert, J, Guckenberger, M, Polat, B et al. Semi-robotic 6 degree of freedom positioning for intracranial high precision radiotherapy; first phantom and clinical results. Radiat Oncol 2010; 5: 1–11.Google Scholar
17. D’Souza, W D, McAvoy, T J. An analysis of the treatment couch and control system dynamics for respiration-induced motion compensation. Med Phys 2006; 33: 4701–4709.Google Scholar
18. Lyatskaya, Y. Performance and characteristics of an IR localizing system for radiation therapy. J Appl Clin Med Phys 2006; 7: 18–37.CrossRefGoogle ScholarPubMed
19. Portalés, C, Gimeno, J, Vera, L, Fernández, M. Towards a guidance system to aid in the dosimetry calculation of intraoperative electron radiation therapy. J Imaging 2015; 1: 180–192.CrossRefGoogle Scholar
20. Rabinowitz, I, Broomberg, J, Goitein, M, McCarthy, K, Leong, J. Accuracy of radiation field alignment in clinical practice. Int J Radiat Oncol Biol Phys 1985; 11: 1857–1867.Google Scholar
21. Menke, M, Hirschfeld, F, Mack, T, Pastyr, O, Sturm, V, Schlegel, W. Photogrammetric accuracy measurements of head holder systems used for fractionated radiotherapy. Int J Radiat Oncol Biol Phys 1994; 29: 1147–1155.Google Scholar