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Evaluation of daily dose accumulation with deformable image registration method using helical tomotherapy images for nasopharyngeal carcinoma

Published online by Cambridge University Press:  09 June 2020

Warit Thongsuk
Affiliation:
Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
Wannapha Nobnop*
Affiliation:
Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
Imjai Chitapanarux
Affiliation:
Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
Somsak Wanwilairat
Affiliation:
Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
*
Author for correspondence: Wannapha Nobnop, Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, 110 Intavaroros Rd., Sriphum50200, Chiang Mai, Thailand. Tel: +66 53935456. E-mail: [email protected]

Abstract

Aim:

Nasopharyngeal carcinoma (NPC) patients may have anatomical variations during their radiotherapy treatment course. In this study, we determine the daily accumulated dose by the deformable image registration (DIR) process for comparing with the planned dose and explore the number of fractions which the daily accumulated dose significantly changed from the planned dose.

Methods:

The validation of the DIR process in MIM software has been tested. One hundred and sixty-five daily megavoltage computed tomography (MVCT) images of NPC patients who were treated by helical tomotherapy were exported to MIM software to determine the daily accumulated dose and then compared with the planned dose.

Results:

The MIM software illustrated the acceptable validation for clinical application. The accumulated dose (D50%) of the planning target volume (PTV70) showed a decrease from the planned dose with an average of 0.5 ± 0.27% at the end of the treatment and was significantly different from the planned dose after the second fraction of the treatment (p-value = 0.008). In contrast, the accumulated dose of organ at risk (OAR) tended to increase from the planned dose and was significantly different after the fifth fraction (left parotid), the twelfth fraction (right parotid) and the second fraction (spinal cord).

Findings:

The inter-fractional anatomic changes cause the actual dose to be different from the planned dose. The dose differences and the number of fractions were varied in each target and OAR. The dose accumulation explored the necessary information for the radiation oncologist to consider adaptive treatment strategies to increase the efficiency of treatment.

Type
Original Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

Tejpal, G, Jaiprakash, A, Susovan, B, Ghosh-Laskar, S, Murthy, V, Budrukkar, A. IMRT and IGRT in head and neck cancer: Have we delivered what we promised? Indian J Surg Oncol 2010; 1 (2): 166185.CrossRefGoogle ScholarPubMed
Haberer-Guillerm, S, Touboul, E, Huguet, F. Intensity modulated radiation therapy in nasopharyngeal carcinoma. Eur Ann Otorhinolaryngol Head Neck Dis 2015; 132 (3): 147151.CrossRefGoogle ScholarPubMed
Sterzing, F, Engenhart-Cabillic, R, Flentje, M, Debus, J. Image-guided radiotherapy: a new dimension in radiation oncology. Dtsch Arztebl Int 2011; 108 (16): 274280.Google ScholarPubMed
Barker, JL Jr, Garden, AS, Ang, KK et al. Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system. Int J Radiat Oncol Biol Phys 2004; 59 (4): 960970.CrossRefGoogle ScholarPubMed
Lu, J, Ma, Y, Chen, J et al. Assessment of anatomical and dosimetric changes by a deformable registration method during the course of intensity-modulated radiotherapy for nasopharyngeal carcinoma. J Radiat Res 2014; 55 (1): 97104.CrossRefGoogle ScholarPubMed
Huang, H, Lu, H, Feng, G et al. Determining appropriate timing of adaptive radiation therapy for nasopharyngeal carcinoma during intensity-modulated radiation therapy. Radiat Oncol 2015; 10: 19.CrossRefGoogle ScholarPubMed
Han, C, Chen, YJ, Liu, A, Schultheiss, TE, Wong, JY. Actual dose variation of parotid glands and spinal cord for nasopharyngeal cancer patients during radiotherapy. Int J Radiat Oncol Biol Phys 2008; 70 (4): 12561262.CrossRefGoogle ScholarPubMed
Lee, C, Langen, KM, Lu, W et al. Assessment of parotid gland dose changes during head and neck cancer radiotherapy using daily megavoltage computed tomography and deformable image registration. Int J Radiat Oncol Biol Phys 2008; 71 (5): 15631571.CrossRefGoogle ScholarPubMed
Qi, XS, Santhanam, A, Neylon, J et al. Near real-time assessment of anatomic and dosimetric variations for head and neck radiation therapy via graphics processing unit-based dose deformation framework. Int J Radiat Oncol Biol Phys 2015; 92 (2): 415422.CrossRefGoogle ScholarPubMed
Sotiras, A, Davatzikos, C, Paragios, N. Deformable medical image registration: a survey. IEEE Trans Med Imaging 2013; 32 (7): 11531190.CrossRefGoogle ScholarPubMed
Oh, S, Kim, S. Deformable image registration in radiation therapy. Radiat Oncol J 2017; 35 (2): 101111.CrossRefGoogle ScholarPubMed
Lee, S, Kim, H, Ji, Y et al. Evaluation of hepatic toxicity after repeated stereotactic body radiation therapy for recurrent hepatocellular carcinoma using deformable image registration. Sci Rep 2018; 8 (1): 19.Google ScholarPubMed
Lee, N, Harris, J, Garden, AS et al. Intensity-modulated radiation therapy with or without chemotherapy for nasopharyngeal carcinoma: radiation therapy oncology group phase II trial 0225. J Clin Oncol 2009; 27: 36843690.CrossRefGoogle ScholarPubMed
Zimring, D, Talos, F, Bhagwat, G, Haker, J, Black, P, Zou, K. Statistical validation of brain tumor shape approximation via spherical harmonics for image-guided neurosurgery. Acad Radiol 2005; 12: 459466.CrossRefGoogle Scholar