Vol 26, No 3 (2021)
Research paper
Published online: 2021-03-30

open access

Page views 987
Article views/downloads 1002
Get Citation

Connect on Social Media

Connect on Social Media

Dose delivery accuracy on helical tomotherapy for 4-dimensional tumor motion — a phantom study

Raghavendra Holla1, David Khanna Khanna2, V.K. Sathiya Narayanan1
Rep Pract Oncol Radiother 2021;26(3):380-388.

Abstract

BACKGROUND: The advances in image guidance and capability of highly conformal dose deliveries made possible the use of helical tomotherapy (HT) for lung cancer treatment. To determine the effect of respiratory motion on the delivered dose in HT, film dosimetry using a dynamic phantom was performed.

This was a phantom study to determine the effect of motion on the delivered dose in HT.

MATERIALS AND METHODS: 4D computed tomography (4DCT) was acquired for various target motions of CIRS dynamic phantom (CIRS Inc., Norfolk, USA) with 2.5cm diameter spherical target of volume 8.2 cc moving in the COS4 motion pattern. AveIP images and treatment plans were generated in the HT planning system. Target excursions during treatment delivery were changed in the superior-inferior, anteroposterior and lateral directions. The breathing cycle time was varied from 4 to 5 sec. and also the delivery interruptions were introduced. A film was exposed for each delivery and gamma analysis was performed.

RESULTS: The gamma pass rate (GPR) with 3%, 2 mm criteria for the target motion in the S-I direction showed a significant reduction from 97.5% to 54.4% as the motion increased from 3 mm to  8 mm (p = 0.03). For the target motion in S-I = 8 mm, L-R = A-P = 3 mm, the percentage decrease in the GPR was 74% (p = 0.001) for three interruptions.

CONCLUSION: The ITV based approach in HT is ideal for a shallow breathing situation when the tumor excursions were confined to 5 mm in the S-I and 3 mm in L-R and A-P directions.

Article available in PDF format

View PDF Download PDF file

References

  1. Adamczyk M, Konkol M, Matecka-Nowak M, et al. 4DCT-based evaluation of lung tumour motion during the breathing cycle. Neoplasma. 2020; 67(1): 193–202.
  2. Guckenberger M, Krieger T, Richter A, et al. Potential of image-guidance, gating and real-time tracking to improve accuracy in pulmonary stereotactic body radiotherapy. Radiother Oncol. 2009; 91(3): 288–295.
  3. Franks KN, Jain P, Snee MP. Stereotactic ablative body radiotherapy for lung cancer. Clin Oncol (R Coll Radiol). 2015; 27(5): 280–289.
  4. Landberg T, Chavaudra J, Dobbs J, et al. Report 62. Journal of the International Commission on Radiation Units and Measurements. 2016; os32(1).
  5. Kruis MF, van de Kamer JB, Belderbos JSA, et al. 4D CT amplitude binning for the generation of a time-averaged 3D mid-position CT scan. Phys Med Biol. 2014; 59(18): 5517–5529.
  6. Giraud P, Garcia R. [Respiratory gating for radiotherapy: main technical aspects and clinical benefits]. Bull Cancer. 2010; 97(7): 847–856.
  7. Seppenwoolde Y, Shirato H, Kitamura K, et al. Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys. 2002; 53(4): 822–834.
  8. Boggs D, Feigenberg S, Walter R, et al. Stereotactic radiotherapy using tomotherapy for early-stage non-small cell lung carcinoma: Analysis of intrafraction tumour motion. J Med Imaging Radiat Oncol. 2014; 58(6): 706–713.
  9. Gallo JJ, Kaufman I, Powell R, et al. Single-fraction spine SBRT end-to-end testing on TomoTherapy, Vero, TrueBeam, and CyberKnife treatment platforms using a novel anthropomorphic phantom. J Appl Clin Med Phys. 2015; 16(1): 5120.
  10. Hodge W, Tomé WA, Jaradat HA, et al. Feasibility report of image guided stereotactic body radiotherapy (IG-SBRT) with tomotherapy for early stage medically inoperable lung cancer using extreme hypofractionation. Acta Oncol. 2006; 45(7): 890–896.
  11. Nagai A, Shibamoto Y, Yoshida M, et al. Safety and efficacy of intensity-modulated stereotactic body radiotherapy using helical tomotherapy for lung cancer and lung metastasis. Biomed Res Int. 2014; 2014: 473173.
  12. Schnarr E, Beneke M, Casey D, et al. Feasibility of real-time motion management with helical tomotherapy. Med Phys. 2018; 45(4): 1329–1337.
  13. Wanet M, Sterpin E, Janssens G, et al. Validation of the mid-position strategy for lung tumors in helical TomoTherapy. Radiother Oncol. 2014; 110(3): 529–537.
  14. Adamczyk M, Kruszyna-Mochalska M, Rucińska A, et al. Software simulation of tumour motion dose effects during flattened and unflattened ITV-based VMAT lung SBRT. Rep Pract Oncol Radiother. 2020; 25(4): 684–691.
  15. Sterpin E, Janssens G, Orban de Xivry J, et al. Helical tomotherapy for SIB and hypo-fractionated treatments in lung carcinomas: a 4D Monte Carlo treatment planning study. Radiother Oncol. 2012; 104(2): 173–180.
  16. Kim B, Chen J, Kron T, et al. Motion-induced dose artifacts in helical tomotherapy. Phys Med Biol. 2009; 54(19): 5707–5734.
  17. Minn AY, Schellenberg D, Maxim P, et al. Pancreatic tumor motion on a single planning 4D-CT does not correlate with intrafraction tumor motion during treatment. Am J Clin Oncol. 2009; 32(4): 364–368.
  18. Zhu Z, Fu X. The radiation techniques of tomotherapy & intensity-modulated radiation therapy applied to lung cancer. Transl Lung Cancer Res. 2015; 4(3): 265–274.
  19. Kanagaki B, Read PW, Molloy JA, et al. A motion phantom study on helical tomotherapy: the dosimetric impacts of delivery technique and motion. Phys Med Biol. 2007; 52(1): 243–255.
  20. Hu Y, Archibald-Heeren B, Byrne M, et al. Investigating the impact of tumour motion on TomoTherapy stereotactic ablative body radiotherapy (SABR) deliveries on 3-dimensional and 4-dimensional computed tomography. Australas Phys Eng Sci Med. 2019; 42(1): 169–179.
  21. Dunn L, Kron T, Taylor ML, et al. A phantom for testing of 4D-CT for radiotherapy of small lesions. Med Phys. 2012; 39(9): 5372–5383.
  22. Klein EE, Hanley J, Bayouth J, et al. Task Group 142, American Association of Physicists in Medicine. Task Group 142 report: quality assurance of medical accelerators. Med Phys. 2009; 36(9): 4197–4212.
  23. Westerly DC, Soisson E, Chen Q, et al. Treatment planning to improve delivery accuracy and patient throughput in helical tomotherapy. Int J Radiat Oncol Biol Phys. 2009; 74(4): 1290–1297.